1
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Sakakibara S, Liu YC, Ishikawa M, Edahiro R, Shirai Y, Haruna S, El Hussien MA, Xu Z, Li S, Yamaguchi Y, Murakami T, Morita T, Kato Y, Hirata H, Takeda Y, Sugihara F, Naito Y, Motooka D, Tsai CY, Ono C, Matsuura Y, Wing JB, Matsumoto H, Ogura H, Okada M, Kumanogoh A, Okada Y, Standley DM, Kikutani H, Okuzaki D. Clonal landscape of autoantibody-secreting plasmablasts in COVID-19 patients. Life Sci Alliance 2024; 7:e202402774. [PMID: 39288992 PMCID: PMC11408605 DOI: 10.26508/lsa.202402774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 09/05/2024] [Accepted: 09/06/2024] [Indexed: 09/19/2024] Open
Abstract
Whereas severe COVID-19 is often associated with elevated autoantibody titers, the underlying mechanism behind their generation has remained unclear. Here we report clonal composition and diversity of autoantibodies in humoral response to SARS-CoV-2. Immunoglobulin repertoire analysis and characterization of plasmablast-derived monoclonal antibodies uncovered clonal expansion of plasmablasts producing cardiolipin (CL)-reactive autoantibodies. Half of the expanded CL-reactive clones exhibited strong binding to SARS-CoV-2 antigens. One such clone, CoV1804, was reactive to both CL and viral nucleocapsid (N), and further showed anti-nucleolar activity in human cells. Notably, antibodies sharing genetic features with CoV1804 were identified in COVID-19 patient-derived immunoglobulins, thereby constituting a novel public antibody. These public autoantibodies had numerous mutations that unambiguously enhanced anti-N reactivity, when causing fluctuations in anti-CL reactivity along with the acquisition of additional self-reactivities, such as anti-nucleolar activity, in the progeny. Thus, potentially CL-reactive precursors may have developed multiple self-reactivities through clonal selection, expansion, and somatic hypermutation driven by viral antigens. Our results revealed the nature of autoantibody production during COVID-19 and provided novel insights into the origin of virus-induced autoantibodies.
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Affiliation(s)
- Shuhei Sakakibara
- https://ror.org/035t8zc32 Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yu-Chen Liu
- https://ror.org/035t8zc32 Laboratory of Human Immunology (Single Cell Genomics), Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Masakazu Ishikawa
- https://ror.org/035t8zc32 Laboratory of Human Immunology (Single Cell Genomics), Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
| | - Ryuya Edahiro
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Statistical Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yuya Shirai
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Statistical Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Soichiro Haruna
- https://ror.org/035t8zc32 Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Marwa Ali El Hussien
- https://ror.org/035t8zc32 Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Zichang Xu
- https://ror.org/035t8zc32 Laboratory of Systems Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Songling Li
- https://ror.org/035t8zc32 Laboratory of Systems Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yuta Yamaguchi
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Teruaki Murakami
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Takayoshi Morita
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yasuhiro Kato
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Haruhiko Hirata
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yoshito Takeda
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Fuminori Sugihara
- https://ror.org/035t8zc32 Core Instrumentation Facility, Immunology Frontier Research Center and Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Yoko Naito
- https://ror.org/035t8zc32 Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Daisuke Motooka
- https://ror.org/035t8zc32 Laboratory of Human Immunology (Single Cell Genomics), Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
| | - Chao-Yuan Tsai
- https://ror.org/035t8zc32 Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Chikako Ono
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Virus Control, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
| | - Yoshiharu Matsuura
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Virus Control, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
| | - James B Wing
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Human Single Cell Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
| | - Hisatake Matsumoto
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Ogura
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masato Okada
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
| | - Atsushi Kumanogoh
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Japan Agency for Medical Research and Development - Core Research for Evolutional Science and Technology (AMED-CREST), Osaka University, Osaka, Japan
| | - Yukinari Okada
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Statistical Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Wakō, japan
| | - Daron M Standley
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Laboratory of Systems Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Advanced Modalities and DDS, Osaka University, Osaka, Japan
| | - Hitoshi Kikutani
- https://ror.org/035t8zc32 Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Daisuke Okuzaki
- https://ror.org/035t8zc32 Laboratory of Human Immunology (Single Cell Genomics), Immunology Frontier Research Center, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
- https://ror.org/035t8zc32 Japan Agency for Medical Research and Development - Core Research for Evolutional Science and Technology (AMED-CREST), Osaka University, Osaka, Japan
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2
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Mori S, Kohyama M, Yasumizu Y, Tada A, Tanzawa K, Shishido T, Kishida K, Jin H, Nishide M, Kawada S, Motooka D, Okuzaki D, Naito R, Nakai W, Kanda T, Murata T, Terao C, Ohmura K, Arase N, Kurosaki T, Fujimoto M, Suenaga T, Kumanogoh A, Sakaguchi S, Ogawa Y, Arase H. Neoself-antigens are the primary target for autoreactive T cells in human lupus. Cell 2024:S0092-8674(24)00913-9. [PMID: 39276775 DOI: 10.1016/j.cell.2024.08.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 05/06/2024] [Accepted: 08/12/2024] [Indexed: 09/17/2024]
Abstract
Major histocompatibility complex class II (MHC-II) is the most significant genetic risk factor for systemic lupus erythematosus (SLE), but the nature of the self-antigens that trigger autoimmunity remains unclear. Unusual self-antigens, termed neoself-antigens, are presented on MHC-II in the absence of the invariant chain essential for peptide presentation. Here, we demonstrate that neoself-antigens are the primary target for autoreactive T cells clonally expanded in SLE. When neoself-antigen presentation was induced by deleting the invariant chain in adult mice, neoself-reactive T cells were clonally expanded, leading to the development of lupus-like disease. Furthermore, we found that neoself-reactive CD4+ T cells were significantly expanded in SLE patients. A high frequency of Epstein-Barr virus reactivation is a risk factor for SLE. Neoself-reactive lupus T cells were activated by Epstein-Barr-virus-reactivated cells through downregulation of the invariant chain. Together, our findings imply that neoself-antigen presentation by MHC-II plays a crucial role in the pathogenesis of SLE.
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Affiliation(s)
- Shunsuke Mori
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan
| | - Masako Kohyama
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Yoshiaki Yasumizu
- Department of Experimental Immunology, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka 565-0871, Japan
| | - Asa Tada
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan
| | - Kaito Tanzawa
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Tatsuya Shishido
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Kazuki Kishida
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Hui Jin
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Masayuki Nishide
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Shoji Kawada
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Daisuke Motooka
- Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka 565-0871, Japan; Single Cell Genomics, Human Immunology, WPI Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
| | - Daisuke Okuzaki
- Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka 565-0871, Japan; Single Cell Genomics, Human Immunology, WPI Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
| | - Ryota Naito
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan; Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Wataru Nakai
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Teru Kanda
- Division of Microbiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi 981-8558, Japan
| | - Takayuki Murata
- Department of Virology, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan; Department of Virology, Fujita Health University School of Medicine, Nagoya 470-1192, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 351-0198, Japan; Clinical Research Center, Shizuoka General Hospital, Shizuoka 420-8527, Japan; The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 422-8526, Japan
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan; Department of Rheumatology, Kobe City Medical Center General Hospital, Kobe, Hyogo 650-0047, Japan
| | - Noriko Arase
- Department of Dermatology, Graduate school of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Tomohiro Kurosaki
- Laboratory of Lymphocyte Differentiation, WPI Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan
| | - Manabu Fujimoto
- Department of Dermatology, Graduate school of Medicine, Osaka University, Osaka 565-0871, Japan
| | - Tadahiro Suenaga
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan; Department of Immunology, Kitasato University School of Medicine, Sagamihara, Kanagawa 252-0374, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka 565-0871, Japan; Center for advanced modalities and DDS, Osaka University, Osaka 565-0871, Japan
| | - Shimon Sakaguchi
- Department of Experimental Immunology, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Experimental Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto 606-8507, Japan
| | - Yoshihiro Ogawa
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Hisashi Arase
- Laboratory of Immunochemistry, World Premier International Immunology Frontier Research Centre, Osaka University, Osaka 565-0871, Japan; Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan; Center for advanced modalities and DDS, Osaka University, Osaka 565-0871, Japan; Center for Infectious Disease Education and Research, Osaka University, Osaka 565-0871, Japan.
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3
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Billiet L, Jansen H, Pille M, Boehme L, Sanchez Sanchez G, De Cock L, Goetgeluk G, Pascal E, De Munter S, Deseins L, Ingels J, Michiels T, De Vos R, Zolfaghari A, Vandamme N, Roels J, Kerre T, Dmitriev RI, Taghon T, Vermijlen D, Vandekerckhove B. ThymoSpheres culture: A model to study human polyclonal unconventional T cells. Eur J Immunol 2024:e2451265. [PMID: 39246170 DOI: 10.1002/eji.202451265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 08/29/2024] [Accepted: 08/30/2024] [Indexed: 09/10/2024]
Abstract
In vitro cultures remain crucial for studying the fundamental mechanisms of human T-cell development. Here, we introduce a novel in vitro cultivation system based on ThymoSpheres (TS): dense spheroids consisting of DLL4-expressing stromal cells and human hematopoietic precursor cells, in the absence of thymic epithelial cells. These spheroids are subsequently cultured at the air-liquid interphase. TS generate large numbers of mature T cells, are easy to manipulate, scalable, and can be repeatably sampled to monitor T-cell differentiation. The mature T cells generated from primary human hematopoietic precursor cells were extensively characterized using single-cell RNA and combined T-cell receptor (TCR) sequencing. These predominantly CD8α T cells exhibit transcriptional and TCR CDR3 characteristics similar to the recently described human polyclonal αβ unconventional T cell (UTC) lineage. This includes the expression of hallmark genes associated with agonist selection, such as IKZF2 (Helios), and the expression of various natural killer receptors. The TCR repertoire of these UTCs is polyclonal and enriched for CDR3-associated autoreactive features and early rearrangements of the TCR-α chain. In conclusion, TS cultures offer an intriguing platform to study the development of this human polyclonal UTC lineage and its inducing selection mechanisms.
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Affiliation(s)
- Lore Billiet
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Hanne Jansen
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Melissa Pille
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Guillem Sanchez Sanchez
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Brussels, Belgium
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Brussels, Belgium
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Laurenz De Cock
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Glenn Goetgeluk
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Eva Pascal
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Stijn De Munter
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Lucas Deseins
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Joline Ingels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- GMP Unit CellGenTherapies, Ghent University Hospital, Ghent, Belgium
| | - Thomas Michiels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Robrecht De Vos
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Amin Zolfaghari
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Niels Vandamme
- VIB Single Cell Core, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jana Roels
- VIB Single Cell Core, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Tessa Kerre
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Ruslan I Dmitriev
- Tissue Engineering and Biomaterials Group, Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - David Vermijlen
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Brussels, Belgium
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Brussels, Belgium
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Bart Vandekerckhove
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- GMP Unit CellGenTherapies, Ghent University Hospital, Ghent, Belgium
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4
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Mei Y, Liu Y, Liu W, Chen M, Liu X, Wang S, Mou J, Xing H, Tang K, Tian Z, Rao Q, Wang M, Gu R, Qiu S, Wang J. Identifying ADGRG1 as a specific marker for tumor-reactive T cells in acute myeloid leukemia. Exp Hematol Oncol 2024; 13:92. [PMID: 39243082 PMCID: PMC11380426 DOI: 10.1186/s40164-024-00560-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024] Open
Abstract
Besides chemotherapy and hematopoietic stem cell transplantation (HSCT), autologous T cells can also serve as a new treatment approach for AML patients. However, the features of tumor-reactive T cells and their distinctive markers still lack full description. To evaluate the characteristics of tumor-reactive T cells, we collected bone marrow (BM) T cells from newly diagnosed AML patients with RUNX1::RUNX1T1 as examples for paired single-cell RNA sequencing and single-cell V(D)J sequencing. Based on the STARTRAC-like algorithm, we defined bystander T cells and tumor-reactive T cells. Compared with bystander T cells, tumor-reactive T cells presented as senescent-like cytotoxic terminally differentiated T cells (Temra) with upregulated NK-related markers. Additionally, we found ADGRG1 could serve as the specific marker of CD8+ T tumor-reactive T cell and validated it through the Runx1Runx1t1/+; Mx1-Cre mouse model. In chimeric antigen receptor (CAR)-T and target cell system, ADGRG1 was selectively upregulated upon antigen-TCR encounter. Moreover, ADGRG1+CD8+ T cells released a higher level of IFN-γ and showed higher cell-killing ability when exposed to matched AML blasts. Together, our findings depict the single-cell profile of tumor-reactive T cells in AML BM and propose that ADGRG1 can act as an indicator of T cell tumor reactivity in AML, which may be further harnessed for adoptive cell therapy and tumor-reactive TCR enrichment.
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Affiliation(s)
- Yihan Mei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yu Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wenbing Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Manling Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaoyu Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shangshang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Junli Mou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Haiyan Xing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Kejing Tang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Zheng Tian
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Qing Rao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Min Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Runxia Gu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Shaowei Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC), Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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5
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Luo Y, Xia Y, Liu D, Li X, Li H, Liu J, Zhou D, Dong Y, Li X, Qian Y, Xu C, Tao K, Li G, Pan W, Zhong Q, Liu X, Xu S, Wang Z, Liu R, Zhang W, Shan W, Fang T, Wang S, Peng Z, Jin P, Jin N, Shi S, Chen Y, Wang M, Jiao X, Luo M, Gong W, Wang Y, Yao Y, Zhao Y, Huang X, Ji X, He Z, Zhao G, Liu R, Wu M, Chen G, Hong L, Ma D, Fang Y, Liang H, Gao Q. Neoadjuvant PARPi or chemotherapy in ovarian cancer informs targeting effector Treg cells for homologous-recombination-deficient tumors. Cell 2024; 187:4905-4925.e24. [PMID: 38971151 DOI: 10.1016/j.cell.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/12/2024] [Accepted: 06/10/2024] [Indexed: 07/08/2024]
Abstract
Homologous recombination deficiency (HRD) is prevalent in cancer, sensitizing tumor cells to poly (ADP-ribose) polymerase (PARP) inhibition. However, the impact of HRD and related therapies on the tumor microenvironment (TME) remains elusive. Our study generates single-cell gene expression and T cell receptor profiles, along with validatory multimodal datasets from >100 high-grade serous ovarian cancer (HGSOC) samples, primarily from a phase II clinical trial (NCT04507841). Neoadjuvant monotherapy with the PARP inhibitor (PARPi) niraparib achieves impressive 62.5% and 73.6% response rates per RECIST v.1.1 and GCIG CA125, respectively. We identify effector regulatory T cells (eTregs) as key responders to HRD and neoadjuvant therapies, co-occurring with other tumor-reactive T cells, particularly terminally exhausted CD8+ T cells (Tex). TME-wide interferon signaling correlates with cancer cells upregulating MHC class II and co-inhibitory ligands, potentially driving Treg and Tex fates. Depleting eTregs in HRD mouse models, with or without PARP inhibition, significantly suppresses tumor growth without observable toxicities, underscoring the potential of eTreg-focused therapeutics for HGSOC and other HRD-related tumors.
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Affiliation(s)
- Yikai Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yu Xia
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dan Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiong Li
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Huayi Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiahao Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dongchen Zhou
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yu Dong
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xin Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yiyu Qian
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Cheng Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kangjia Tao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guannan Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen Pan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qing Zhong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xingzhe Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Sen Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhi Wang
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Ronghua Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Zhang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wanying Shan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tian Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Siyuan Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zikun Peng
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ning Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shennan Shi
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuxin Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengjie Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaofei Jiao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengshi Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenjian Gong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ya Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yue Yao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Yi Zhao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xinlin Huang
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xuwo Ji
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Zhaoren He
- BioMap (Beijing) Intelligence Technology Limited, Beijing 100089, China
| | - Guangnian Zhao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rong Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingfu Wu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Hong
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Ding Ma
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Yong Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Qinglei Gao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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6
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Sultan H, Takeuchi Y, Ward JP, Sharma N, Liu TT, Sukhov V, Firulyova M, Song Y, Ameh S, Brioschi S, Khantakova D, Arthur CD, White JM, Kohlmiller H, Salazar AM, Burns R, Costa HA, Moynihan KD, Yeung YA, Djuretic I, Schumacher TN, Sheehan KCF, Colonna M, Allison JP, Murphy KM, Artyomov MN, Schreiber RD. Neoantigen-specific cytotoxic Tr1 CD4 T cells suppress cancer immunotherapy. Nature 2024; 632:182-191. [PMID: 39048822 PMCID: PMC11291290 DOI: 10.1038/s41586-024-07752-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 06/25/2024] [Indexed: 07/27/2024]
Abstract
CD4+ T cells can either enhance or inhibit tumour immunity. Although regulatory T cells have long been known to impede antitumour responses1-5, other CD4+ T cells have recently been implicated in inhibiting this response6,7. Yet, the nature and function of the latter remain unclear. Here, using vaccines containing MHC class I (MHC-I) neoantigens (neoAgs) and different doses of tumour-derived MHC-II neoAgs, we discovered that whereas the inclusion of vaccines with low doses of MHC-II-restricted peptides (LDVax) promoted tumour rejection, vaccines containing high doses of the same MHC-II neoAgs (HDVax) inhibited rejection. Characterization of the inhibitory cells induced by HDVax identified them as type 1 regulatory T (Tr1) cells expressing IL-10, granzyme B, perforin, CCL5 and LILRB4. Tumour-specific Tr1 cells suppressed tumour rejection induced by anti-PD1, LDVax or adoptively transferred tumour-specific effector T cells. Mechanistically, HDVax-induced Tr1 cells selectively killed MHC-II tumour antigen-presenting type 1 conventional dendritic cells (cDC1s), leading to low numbers of cDC1s in tumours. We then documented modalities to overcome this inhibition, specifically via anti-LILRB4 blockade, using a CD8-directed IL-2 mutein, or targeted loss of cDC2/monocytes. Collectively, these data show that cytotoxic Tr1 cells, which maintain peripheral tolerance, also inhibit antitumour responses and thereby function to impede immune control of cancer.
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Affiliation(s)
- Hussein Sultan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Yoshiko Takeuchi
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Jeffrey P Ward
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Naveen Sharma
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tian-Tian Liu
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Vladimir Sukhov
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Maria Firulyova
- Almazov National Medical Research Centre, St. Petersburg, Russia
| | - Yuang Song
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Samuel Ameh
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Simone Brioschi
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Darya Khantakova
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Cora D Arthur
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - J Michael White
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather Kohlmiller
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | | | | | | | - Ton N Schumacher
- Netherlands Cancer Institute, Oncode Institute, Amsterdam, Leiden University, Leiden, Netherlands
| | - Kathleen C F Sheehan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - James P Allison
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Kenneth M Murphy
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Maxim N Artyomov
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert D Schreiber
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA.
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
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7
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Kuzmin IV, Soto Acosta R, Pruitt L, Wasdin PT, Kedarinath K, Hernandez KR, Gonzales KA, Hill K, Weidner NG, Mire C, Engdahl TB, Moon WJ, Popov V, Crowe JE, Georgiev IS, Garcia-Blanco MA, Abbott RK, Bukreyev A. Comparison of uridine and N1-methylpseudouridine mRNA platforms in development of an Andes virus vaccine. Nat Commun 2024; 15:6421. [PMID: 39080316 PMCID: PMC11289437 DOI: 10.1038/s41467-024-50774-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 07/19/2024] [Indexed: 08/02/2024] Open
Abstract
The rodent-borne Andes virus (ANDV) causes a severe disease in humans. We developed an ANDV mRNA vaccine based on the M segment of the viral genome, either with regular uridine (U-mRNA) or N1-methylpseudouridine (m1Ψ-mRNA). Female mice immunized by m1Ψ-mRNA developed slightly greater germinal center (GC) responses than U-mRNA-immunized mice. Single cell RNA and BCR sequencing of the GC B cells revealed similar levels of activation, except an additional cluster of cells exhibiting interferon response in animals vaccinated with U-mRNA but not m1Ψ-mRNA. Similar immunoglobulin class-switching and somatic hypermutations were observed in response to the vaccines. Female Syrian hamsters were immunized via a prime-boost regimen with two doses of each vaccine. The titers of glycoprotein-binding antibodies were greater for U-mRNA construct than for m1Ψ-mRNA construct; however, the titers of ANDV-neutralizing antibodies were similar. Vaccinated animals were challenged with a lethal dose of ANDV, along with a naïve control group. All control animals and two animals vaccinated with a lower dose of m1Ψ-mRNA succumbed to infection whereas other vaccinated animals survived without evidence of virus replication. The data demonstrate the development of a protective vaccine against ANDV and the lack of a substantial effect of m1Ψ modification on immunogenicity and protection in rodents.
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MESH Headings
- Animals
- Female
- Mice
- Mesocricetus
- Uridine
- Viral Vaccines/immunology
- Viral Vaccines/administration & dosage
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- RNA, Messenger/immunology
- Antibodies, Viral/immunology
- Orthohantavirus/immunology
- Orthohantavirus/genetics
- Antibodies, Neutralizing/immunology
- Germinal Center/immunology
- Pseudouridine/immunology
- Cricetinae
- mRNA Vaccines
- Hemorrhagic Fever, American/prevention & control
- Hemorrhagic Fever, American/immunology
- Hemorrhagic Fever, American/virology
- RNA, Viral/genetics
- RNA, Viral/immunology
- B-Lymphocytes/immunology
- Humans
- Vaccine Development
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Affiliation(s)
- Ivan V Kuzmin
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Galveston National Laboratory, Galveston, TX, USA
| | - Ruben Soto Acosta
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Galveston National Laboratory, Galveston, TX, USA
| | - Layne Pruitt
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Perry T Wasdin
- Vanderbilt University Medical Center, Vanderbilt Vaccine Center, Nashville, TN, USA
| | - Kritika Kedarinath
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Galveston National Laboratory, Galveston, TX, USA
| | - Keziah R Hernandez
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Galveston National Laboratory, Galveston, TX, USA
| | - Kristyn A Gonzales
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Kharighan Hill
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Nicole G Weidner
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Chad Mire
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
- Galveston National Laboratory, Galveston, TX, USA
| | - Taylor B Engdahl
- Vanderbilt University Medical Center, Vanderbilt Vaccine Center, Nashville, TN, USA
| | | | - Vsevolod Popov
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - James E Crowe
- Vanderbilt University Medical Center, Vanderbilt Vaccine Center, Nashville, TN, USA
| | - Ivelin S Georgiev
- Vanderbilt University Medical Center, Vanderbilt Vaccine Center, Nashville, TN, USA
| | - Mariano A Garcia-Blanco
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, VA, USA
| | - Robert K Abbott
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
| | - Alexander Bukreyev
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
- Galveston National Laboratory, Galveston, TX, USA.
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.
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8
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Lin J, Bai S, He L, Yang Y, Li X, Luo L, Wang Y, Chen YY, Qin J, Zhong Y. Cytotoxic Lymphocyte-Monocyte Complex Reflects the Dynamics of Coronavirus Disease 2019 Systemic Immune Response. J Infect Dis 2024; 230:5-14. [PMID: 39052699 DOI: 10.1093/infdis/jiae048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/01/2023] [Accepted: 01/29/2024] [Indexed: 02/03/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causes a variety of clinical manifestations, many of which originate from altered immune responses, either locally or systemically. Immune cell cross-talk occurs mainly in lymphoid organs. However, systemic cell interaction specific to coronavirus disease 2019 has not been well characterized. Here, by employing single-cell RNA sequencing and imaging flow cytometry analysis, we unraveled, in peripheral blood, a heterogeneous group of cell complexes formed by the adherence of CD14+ monocytes to different cytotoxic lymphocytes, including SARS-CoV-2-specific CD8+ T cells, γδ T cells, and natural killer T cells. These lymphocytes attached to CD14+ monocytes that showed enhanced inflammasome activation and pyroptosis-induced cell death in progression stage; in contrast, in the convalescent phase, CD14+ monocytes with elevated antigen presentation potential were targeted by cytotoxic lymphocytes, thereby restricting the excessive immune activation. Collectively, our study reports previously unrecognized cell-cell interplay in the SARS-CoV-2-specific immune response, providing new insight into the intricacy of dynamic immune cell interaction representing antiviral defense.
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Affiliation(s)
- Jiajia Lin
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
- Shanghai Immune Therapy Institute, Renji Hospital and Baoshan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Shiyu Bai
- Shanghai Immune Therapy Institute, Renji Hospital and Baoshan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Liheng He
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
| | - Ye Yang
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
| | - Xiyue Li
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
- Shanghai Immune Therapy Institute, Renji Hospital and Baoshan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Liulin Luo
- Department of Clinical Laboratory, Yangpu Hospital, Tongji University School of Medicine
| | - Ying Wang
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
- Shanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying-Ying Chen
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
- Shanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinhong Qin
- Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine
| | - Yi Zhong
- Shanghai Immune Therapy Institute, Renji Hospital and Baoshan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine
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9
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Tuong ZK, van der Merwe R, Canete PF, Roco JA. Computational estimation of clonal diversity in autoimmunity. Immunol Cell Biol 2024. [PMID: 39010261 DOI: 10.1111/imcb.12801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/17/2024] [Accepted: 06/19/2024] [Indexed: 07/17/2024]
Abstract
Diversity is the cornerstone of the adaptive immune system, crucial for its effectiveness against constantly evolving pathogens that pose threats to higher vertebrates. Accurately measuring and interpreting this diversity presents challenges for immunologists, as changes in diversity and clonotype composition can tip the balance between protective immunity and autoimmunity. In this review, we present the current methods commonly used to measure diversity from single-cell T-cell receptor and B-cell receptor sequencing. We also discuss two case studies where single-cell sequencing and diversity estimations have led to breakthroughs in autoimmune disease discovery and therapeutic innovation, and reflect upon the necessity and importance of accurately defining and measuring lymphocyte diversity in these contexts.
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Affiliation(s)
- Zewen Kelvin Tuong
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Rohan van der Merwe
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Pablo F Canete
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Jonathan A Roco
- Biological Data Science Institute, College of Science, The Australian National University, Canberra, ACT, Australia
- Clinical Hub for Interventional Research, College of Health & Medicine, The Australian National University, Canberra, ACT, Australia
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10
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Curion F, Rich-Griffin C, Agarwal D, Ouologuem S, Rue-Albrecht K, May L, Garcia GEL, Heumos L, Thomas T, Lason W, Sims D, Theis FJ, Dendrou CA. Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis. Genome Biol 2024; 25:181. [PMID: 38978088 PMCID: PMC11229213 DOI: 10.1186/s13059-024-03322-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/25/2024] [Indexed: 07/10/2024] Open
Abstract
Single-cell multiomic analysis of the epigenome, transcriptome, and proteome allows for comprehensive characterization of the molecular circuitry that underpins cell identity and state. However, the holistic interpretation of such datasets presents a challenge given a paucity of approaches for systematic, joint evaluation of different modalities. Here, we present Panpipes, a set of computational workflows designed to automate multimodal single-cell and spatial transcriptomic analyses by incorporating widely-used Python-based tools to perform quality control, preprocessing, integration, clustering, and reference mapping at scale. Panpipes allows reliable and customizable analysis and evaluation of individual and integrated modalities, thereby empowering decision-making before downstream investigations.
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Affiliation(s)
- Fabiola Curion
- Department of Computational Health, Institute of Computational Biology, Helmholtz Munich, Germany
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Charlotte Rich-Griffin
- Nuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Devika Agarwal
- Nuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Sarah Ouologuem
- Department of Computational Health, Institute of Computational Biology, Helmholtz Munich, Germany
| | - Kevin Rue-Albrecht
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Lilly May
- Department of Computational Health, Institute of Computational Biology, Helmholtz Munich, Germany
| | - Giulia E L Garcia
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Doctoral Training Centre, University of Oxford, Oxford, UK
| | - Lukas Heumos
- Department of Computational Health, Institute of Computational Biology, Helmholtz Munich, Germany
- Comprehensive Pneumology Center With the CPC-M bioArchive, Helmholtz Zentrum Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Tom Thomas
- Nuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Nuffield Department of Medicine, Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Wojciech Lason
- Nuffield Department of Medicine, Respiratory Medicine Unit, Experimental Medicine Division, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - David Sims
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Fabian J Theis
- Department of Computational Health, Institute of Computational Biology, Helmholtz Munich, Germany.
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
| | - Calliope A Dendrou
- Nuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK.
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.
- NIHR Oxford Biomedical Research Centre, Oxford, UK.
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11
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Drost F, An Y, Bonafonte-Pardàs I, Dratva LM, Lindeboom RGH, Haniffa M, Teichmann SA, Theis F, Lotfollahi M, Schubert B. Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression data. Nat Commun 2024; 15:5577. [PMID: 38956082 PMCID: PMC11220149 DOI: 10.1038/s41467-024-49806-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/23/2024] [Indexed: 07/04/2024] Open
Abstract
Recent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) sequences, offering great potential for studying immune responses at the cellular level. However, integrating these diverse modalities across datasets is challenging due to their unique data characteristics and technical variations. Here, to address this, we develop the multimodal generative model mvTCR to fuse modality-specific information across transcriptome and TCR into a shared representation. Our analysis demonstrates the added value of multimodal over unimodal approaches to capture antigen specificity. Notably, we use mvTCR to distinguish T cell subpopulations binding to SARS-CoV-2 antigens from bystander cells. Furthermore, when combined with reference mapping approaches, mvTCR can map newly generated datasets to extensive T cell references, facilitating knowledge transfer. In summary, we envision mvTCR to enable a scalable analysis of multimodal immune profiling data and advance our understanding of immune responses.
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Affiliation(s)
- Felix Drost
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- School of Life Sciences Weihenstephan, Technical University of Munich, Alte Akademie 8, 85354, Freising, Germany
| | - Yang An
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany
| | - Irene Bonafonte-Pardàs
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Lisa M Dratva
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Rik G H Lindeboom
- The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Physics, Cavendish Laboratory, University of Cambridge, 19 JJ Thomson Avenue, Cambridge, UK
| | - Fabian Theis
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- School of Life Sciences Weihenstephan, Technical University of Munich, Alte Akademie 8, 85354, Freising, Germany
- School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany
| | - Mohammad Lotfollahi
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
| | - Benjamin Schubert
- Computational Health Center, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
- School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany.
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12
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Gabernet G, Marquez S, Bjornson R, Peltzer A, Meng H, Aron E, Lee NY, Jensen CG, Ladd D, Polster M, Hanssen F, Heumos S, Yaari G, Kowarik MC, Nahnsen S, Kleinstein SH. nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. PLoS Comput Biol 2024; 20:e1012265. [PMID: 39058741 PMCID: PMC11305553 DOI: 10.1371/journal.pcbi.1012265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 08/07/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures. To address this need, we developed nf-core/airrflow, an end-to-end bulk and single-cell AIRR-seq processing workflow which integrates the Immcantation Framework following BCR and TCR sequencing data analysis best practices. The Immcantation Framework is a comprehensive toolset, which allows the processing of bulk and single-cell AIRR-seq data from raw read processing to clonal inference. nf-core/airrflow is written in Nextflow and is part of the nf-core project, which collects community contributed and curated Nextflow workflows for a wide variety of analysis tasks. We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. To demonstrate the applicability of nf-core/airrflow to the high-throughput processing of large AIRR-seq datasets, we validated and extended previously reported findings of convergent antibody responses to SARS-CoV-2 by analyzing 97 COVID-19 infected individuals and 99 healthy controls, including a mixture of bulk and single-cell sequencing datasets. Using this dataset, we extended the convergence findings to 20 additional subjects, highlighting the applicability of nf-core/airrflow to validate findings in small in-house cohorts with reanalysis of large publicly available AIRR datasets.
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Affiliation(s)
- Gisela Gabernet
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Susanna Marquez
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Robert Bjornson
- Yale Center for Research Computing, New Haven, Connecticut, United States of America
| | | | - Hailong Meng
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Edel Aron
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - Noah Y. Lee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - Cole G. Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - David Ladd
- oNKo-Innate Pty Ltd, Melbourne, Victoria, Australia
| | - Mark Polster
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | - Friederike Hanssen
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | - Simon Heumos
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | | | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
| | - Markus C. Kowarik
- Department of Neurology and Stroke, Center for Neurology, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Sven Nahnsen
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Steven H. Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, United States of America
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13
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Lindeboom RGH, Worlock KB, Dratva LM, Yoshida M, Scobie D, Wagstaffe HR, Richardson L, Wilbrey-Clark A, Barnes JL, Kretschmer L, Polanski K, Allen-Hyttinen J, Mehta P, Sumanaweera D, Boccacino JM, Sungnak W, Elmentaite R, Huang N, Mamanova L, Kapuge R, Bolt L, Prigmore E, Killingley B, Kalinova M, Mayer M, Boyers A, Mann A, Swadling L, Woodall MNJ, Ellis S, Smith CM, Teixeira VH, Janes SM, Chambers RC, Haniffa M, Catchpole A, Heyderman R, Noursadeghi M, Chain B, Mayer A, Meyer KB, Chiu C, Nikolić MZ, Teichmann SA. Human SARS-CoV-2 challenge uncovers local and systemic response dynamics. Nature 2024; 631:189-198. [PMID: 38898278 PMCID: PMC11222146 DOI: 10.1038/s41586-024-07575-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/16/2024] [Indexed: 06/21/2024]
Abstract
The COVID-19 pandemic is an ongoing global health threat, yet our understanding of the dynamics of early cellular responses to this disease remains limited1. Here in our SARS-CoV-2 human challenge study, we used single-cell multi-omics profiling of nasopharyngeal swabs and blood to temporally resolve abortive, transient and sustained infections in seronegative individuals challenged with pre-Alpha SARS-CoV-2. Our analyses revealed rapid changes in cell-type proportions and dozens of highly dynamic cellular response states in epithelial and immune cells associated with specific time points and infection status. We observed that the interferon response in blood preceded the nasopharyngeal response. Moreover, nasopharyngeal immune infiltration occurred early in samples from individuals with only transient infection and later in samples from individuals with sustained infection. High expression of HLA-DQA2 before inoculation was associated with preventing sustained infection. Ciliated cells showed multiple immune responses and were most permissive for viral replication, whereas nasopharyngeal T cells and macrophages were infected non-productively. We resolved 54 T cell states, including acutely activated T cells that clonally expanded while carrying convergent SARS-CoV-2 motifs. Our new computational pipeline Cell2TCR identifies activated antigen-responding T cells based on a gene expression signature and clusters these into clonotype groups and motifs. Overall, our detailed time series data can serve as a Rosetta stone for epithelial and immune cell responses and reveals early dynamic responses associated with protection against infection.
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Affiliation(s)
- Rik G H Lindeboom
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Kaylee B Worlock
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Lisa M Dratva
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Masahiro Yoshida
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - David Scobie
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Helen R Wagstaffe
- Department of Infectious Disease, Imperial College London, London, UK
| | - Laura Richardson
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Josephine L Barnes
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | | | | | - Puja Mehta
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | | | - Waradon Sungnak
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Microbiology, Faculty of Science, and Integrative Computational BioScience Center, Mahidol University, Bangkok, Thailand
| | - Rasa Elmentaite
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Ensocell Therapeutics, BioData Innovation Centre, Wellcome Genome Campus, Hinxton, UK
| | - Ni Huang
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lira Mamanova
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Rakesh Kapuge
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Liam Bolt
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Elena Prigmore
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Ben Killingley
- Department of Infectious Diseases, University College London Hospital, London, UK
| | | | | | | | | | - Leo Swadling
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, London, UK
| | | | - Samuel Ellis
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Claire M Smith
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Vitor H Teixeira
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Sam M Janes
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Rachel C Chambers
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Robert Heyderman
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Mahdad Noursadeghi
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Benny Chain
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Andreas Mayer
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Kerstin B Meyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Christopher Chiu
- Department of Infectious Disease, Imperial College London, London, UK
| | - Marko Z Nikolić
- UCL Respiratory, Division of Medicine, University College London, London, UK.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- Theory of Condensed Matter, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK.
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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14
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Enk LUB, Hellmig M, Riecken K, Kilian C, Datlinger P, Jauch-Speer SL, Neben T, Sultana Z, Sivayoganathan V, Borchers A, Paust HJ, Zhao Y, Asada N, Liu S, Agalioti T, Pelczar P, Wiech T, Bock C, Huber TB, Huber S, Bonn S, Gagliani N, Fehse B, Panzer U, Krebs CF. Targeting T cell plasticity in kidney and gut inflammation by pooled single-cell CRISPR screening. Sci Immunol 2024; 9:eadd6774. [PMID: 38875317 DOI: 10.1126/sciimmunol.add6774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 05/23/2024] [Indexed: 06/16/2024]
Abstract
Pro-inflammatory CD4+ T cells are major drivers of autoimmune diseases, yet therapies modulating T cell phenotypes to promote an anti-inflammatory state are lacking. Here, we identify T helper 17 (TH17) cell plasticity in the kidneys of patients with antineutrophil cytoplasmic antibody-associated glomerulonephritis on the basis of single-cell (sc) T cell receptor analysis and scRNA velocity. To uncover molecules driving T cell polarization and plasticity, we established an in vivo pooled scCRISPR droplet sequencing (iCROP-seq) screen and applied it to mouse models of glomerulonephritis and colitis. CRISPR-based gene targeting in TH17 cells could be ranked according to the resulting transcriptional perturbations, and polarization biases into T helper 1 (TH1) and regulatory T cells could be quantified. Furthermore, we show that iCROP-seq can facilitate the identification of therapeutic targets by efficient functional stratification of genes and pathways in a disease- and tissue-specific manner. These findings uncover TH17 to TH1 cell plasticity in the human kidney in the context of renal autoimmunity.
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Affiliation(s)
- Leon U B Enk
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Malte Hellmig
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kristoffer Riecken
- Department of Stem Cell Transplantation, Research Department Cell and Gene Therapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Kilian
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Paul Datlinger
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Saskia L Jauch-Speer
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Neben
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Zeba Sultana
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Varshi Sivayoganathan
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alina Borchers
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Joachim Paust
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yu Zhao
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nariaki Asada
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Shuya Liu
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Theodora Agalioti
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Penelope Pelczar
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thorsten Wiech
- Institute of Pathology, Division of Nephropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Institute of Artificial Intelligence and Decision Support, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Samuel Huber
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nicola Gagliani
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department for General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Boris Fehse
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Stem Cell Transplantation, Research Department Cell and Gene Therapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulf Panzer
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian F Krebs
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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15
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Niehaus C, Klein S, Strunz B, Freyer E, Maasoumy B, Wedemeyer H, Björkström NK, Kraft ARM, Cornberg M. CXCR6 +CD69 + CD8 + T cells in ascites are associated with disease severity in patients with cirrhosis. JHEP Rep 2024; 6:101074. [PMID: 38882602 PMCID: PMC11179582 DOI: 10.1016/j.jhepr.2024.101074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 03/16/2024] [Accepted: 03/20/2024] [Indexed: 06/18/2024] Open
Abstract
Background & Aims Patients with advanced cirrhosis often develop hepatic decompensation, which is accompanied by systemic inflammation and may eventually lead to acute-on-chronic liver failure. One important cause of systemic hyperinflammation is a dysregulated overshooting immune response in ascites in the abdominal cavity. In this study, we analyzed the role of CD8+ T cells in the ascites immune compartment. Methods Peripheral blood and ascites fluid were collected from 50 patients with decompensated cirrhosis. Phenotype and functional responses of CD8+ T cells were analyzed, and obtained data were compared with each other as well as with healthy controls and patients with compensated cirrhosis. Results High-dimensional flow cytometry revealed that CD8+ T cells are abundant in the ascites of patients with cirrhosis and exhibit a chronically activated bystander phenotype with innate-like functions. Indeed, we identified distinct CXCR6+CD69+ clusters of late effector memory CD8+ T cells that were rarely found in blood and correlated with clinical parameters of disease severity. Moreover, this CD8+ T-cell population was hyperresponsive to innate cytokines and exhibited cytokine-mediated bystander activation. Interestingly, the Janus kinase (JAK) inhibitor tofacitinib was able to effectively block bystander-activated CXCR6+CD69+ CD8+ T cells and significantly suppress effector molecule production. Conclusions The results indicate that CXCR6+CD69+ CD8+ T cells in ascites are associated with disease severity and may contribute to inflammation in patients with decompensated cirrhosis, suggesting that targeted inhibition of this immune cell subset may be a viable therapeutic option. Impact and Implications Patients with advanced cirrhosis often develop hepatic decompensation, which is accompanied by systemic inflammation and eventually leads to acute-on-chronic liver failure. One important cause of systemic hyperinflammation is a dysregulated overshooting immune response in ascites in the abdominal cavity. In this study, we demonstrate that CXCR6+CD69+ CD8+ T cells are abundant in the ascites of patients with cirrhosis, exhibit a chronically activated bystander phenotype, and correlate with clinical parameters of disease severity. Moreover, we show that the Janus kinase (JAK) inhibitor tofacitinib can effectively block these bystander-activated CXCR6+CD69+ CD8+ T cells, suggesting that targeted inhibition of this immune cell subset may be a potential therapeutic strategy. Clinical trial number Prospective registry: INFEKTA (DRKS00010664).
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Affiliation(s)
- Christian Niehaus
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany
- Twincore, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Sebastian Klein
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany
- Twincore, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School, Hannover, Germany
- CAIMed - Center for AI in Medicine, Joint Venture of Leibniz University Hannover and Hannover Medical School, Hannover, Germany
| | - Benedikt Strunz
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Erich Freyer
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany
- Twincore, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
| | - Benjamin Maasoumy
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
| | - Heiner Wedemeyer
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Niklas K Björkström
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Anke R M Kraft
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany
- Twincore, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Markus Cornberg
- Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany
- Twincore, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-site Hannover-Braunschweig, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
- German Center for Infection Research, HepNet Study-House German Liver Foundation, Hannover, Germany
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16
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Arora JK, Matangkasombut P, Charoensawan V, Opasawatchai A. Single-cell RNA sequencing reveals the expansion of circulating tissue-homing B cell subsets in secondary acute dengue viral infection. Heliyon 2024; 10:e30314. [PMID: 38818157 PMCID: PMC11137366 DOI: 10.1016/j.heliyon.2024.e30314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 06/01/2024] Open
Abstract
The roles of antibodies secreted by subsets of B cells in dengue virus (DENV) infection have been extensively studied, yet, the contribution of tissue-homing B cells to antiviral immunity remains unclear. In this study, we performed a comprehensive analysis of B cell subpopulations in peripheral blood samples from DENV-infected patients using single-cell RNA-sequencing (scRNA-seq) datasets and flow cytometry. We showed that plasma cells (PCs) and plasmablasts (PBs) were the predominant B cell populations during the acute phase of secondary natural DENV infection, but not in convalescent phase nor in healthy controls. Interestingly, these cells expressed proliferation, adhesion, and tissue-homing genes, including SELPLG, a homing marker of the skin, the initial infected site of DENV. Flow cytometry analysis confirmed a significant upregulation of cell surface expression of a cutaneous lymphocyte-associated antigen (CLA) encoded by SELPLG in PCs and PBs, compared to naive and memory B cells from the same patients. The analysis of an independent single-cell B-cell receptor sequencing (scBCR-seq) dataset of DENV-infected patients revealed that the peripheral blood PCs and PBs exhibited the highest clonal expansion in secondary DENV infection compared to other B cell subsets. These clonally expanded cells also expressed the highest levels of tissue-homing genes, including SELPLG. In addition, by utilizing a public scRNA-seq dataset of SARS-CoV2 infection, we demonstrated the upregulation of several tissue-homing genes in PCs and PBs. Our study provides evidence for the potential roles of tissue-homing B cell subsets in the context of immune responses against viral infections in humans.
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Affiliation(s)
- Jantarika Kumar Arora
- Doctor of Philosophy Program in Biochemistry (International Program), Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Ponpan Matangkasombut
- Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Single-cell Omics and Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Varodom Charoensawan
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Single-cell Omics and Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom, 73170, Thailand
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- School of Chemistry, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand
| | - Anunya Opasawatchai
- Single-cell Omics and Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom, 73170, Thailand
- Department of Oral Microbiology, Faculty of Dentistry, Mahidol University, Bangkok, 10400, Thailand
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17
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Sanchez Sanchez G, Emmrich S, Georga M, Papadaki A, Kossida S, Seluanov A, Gorbunova V, Vermijlen D. Invariant γδTCR natural killer-like effector T cells in the naked mole-rat. Nat Commun 2024; 15:4248. [PMID: 38762584 PMCID: PMC11102460 DOI: 10.1038/s41467-024-48652-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 05/03/2024] [Indexed: 05/20/2024] Open
Abstract
The naked mole-rat (Heterocephalus glaber) is a long-lived rodent species showing resistance to the development of cancer. Although naked mole-rats have been reported to lack natural killer (NK) cells, γδ T cell-based immunity has been suggested in this species, which could represent an important arm of the immune system for antitumor responses. Here, we investigate the biology of these unconventional T cells in peripheral tissues (blood, spleen) and thymus of the naked mole-rat at different ages by TCR repertoire profiling and single-cell gene expression analysis. Using our own TCR annotation in the naked mole-rat genome, we report that the γδ TCR repertoire is dominated by a public invariant Vγ4-2/Vδ1-4 TCR, containing the complementary-determining-region-3 (CDR3)γ CTYWDSNYAKKLF / CDR3δ CALWELRTGGITAQLVF that are likely generated by short-homology-repeat-driven DNA rearrangements. This invariant TCR is specifically found in γδ T cells expressing genes associated with NK cytotoxicity and is generated in both the thoracic and cervical thymus of the naked mole-rat until adult life. Our results indicate that invariant Vγ4-2/Vδ1-4 NK-like effector T cells in the naked mole-rat can contribute to tumor immunosurveillance by γδ TCR-mediated recognition of a common molecular signal.
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MESH Headings
- Animals
- Mole Rats/immunology
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Receptors, Antigen, T-Cell, gamma-delta/immunology
- Thymus Gland/immunology
- Thymus Gland/cytology
- Killer Cells, Natural/immunology
- Spleen/immunology
- Complementarity Determining Regions/genetics
- Natural Killer T-Cells/immunology
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Affiliation(s)
- Guillem Sanchez Sanchez
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Gosselies, Belgium
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Gosselies, Belgium
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Stephan Emmrich
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Maria Georga
- IMGT®, the international ImMunoGenetics information system®, Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Ariadni Papadaki
- IMGT®, the international ImMunoGenetics information system®, Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- IMGT®, the international ImMunoGenetics information system®, Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Andrei Seluanov
- Department of Biology, University of Rochester, Rochester, NY, USA
- Department of Medicine, University of Rochester Medical Center and Medicine, University of Rochester, Rochester, NY, USA
| | - Vera Gorbunova
- Department of Biology, University of Rochester, Rochester, NY, USA
- Department of Medicine, University of Rochester Medical Center and Medicine, University of Rochester, Rochester, NY, USA
| | - David Vermijlen
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium.
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Gosselies, Belgium.
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Gosselies, Belgium.
- WELBIO Department, WEL Research Institute, Wavre, Belgium.
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18
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Irac SE, Soon MSF, Borcherding N, Tuong ZK. Single-cell immune repertoire analysis. Nat Methods 2024; 21:777-792. [PMID: 38637691 DOI: 10.1038/s41592-024-02243-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/12/2024] [Indexed: 04/20/2024]
Abstract
Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data.
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Affiliation(s)
- Sergio E Irac
- Cancer Immunoregulation and Immunotherapy, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Megan Sioe Fei Soon
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Nicholas Borcherding
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Omniscope, Palo Alto, CA, USA
| | - Zewen Kelvin Tuong
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
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19
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Croce G, Bobisse S, Moreno DL, Schmidt J, Guillame P, Harari A, Gfeller D. Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells. Nat Commun 2024; 15:3211. [PMID: 38615042 PMCID: PMC11016097 DOI: 10.1038/s41467-024-47461-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/03/2024] [Indexed: 04/15/2024] Open
Abstract
T cells have the ability to eliminate infected and cancer cells and play an essential role in cancer immunotherapy. T cell activation is elicited by the binding of the T cell receptor (TCR) to epitopes displayed on MHC molecules, and the TCR specificity is determined by the sequence of its α and β chains. Here, we collect and curate a dataset of 17,715 αβTCRs interacting with dozens of class I and class II epitopes. We use this curated data to develop MixTCRpred, an epitope-specific TCR-epitope interaction predictor. MixTCRpred accurately predicts TCRs recognizing several viral and cancer epitopes. MixTCRpred further provides a useful quality control tool for multiplexed single-cell TCR sequencing assays of epitope-specific T cells and pinpoints a substantial fraction of putative contaminants in public databases. Analysis of epitope-specific dual α T cells demonstrates that MixTCRpred can identify α chains mediating epitope recognition. Applying MixTCRpred to TCR repertoires from COVID-19 patients reveals enrichment of clonotypes predicted to bind an immunodominant SARS-CoV-2 epitope. Overall, MixTCRpred provides a robust tool to predict TCRs interacting with specific epitopes and interpret TCR-sequencing data from both bulk and epitope-specific T cells.
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Affiliation(s)
- Giancarlo Croce
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
- Agora Cancer Research Centre, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
| | - Sara Bobisse
- Agora Cancer Research Centre, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne, Switzerland
| | - Dana Léa Moreno
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
- Agora Cancer Research Centre, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
| | - Julien Schmidt
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne, Switzerland
| | - Philippe Guillame
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne, Switzerland
| | - Alexandre Harari
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Agora Cancer Research Centre, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University Hospital of Lausanne, Lausanne, Switzerland
| | - David Gfeller
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
- Agora Cancer Research Centre, Lausanne, Switzerland.
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland.
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20
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Lin TD, Rubinstein ND, Fong NL, Smith M, Craft W, Martin-McNulty B, Perry R, Delaney MA, Roy MA, Buffenstein R. Evolution of T cells in the cancer-resistant naked mole-rat. Nat Commun 2024; 15:3145. [PMID: 38605005 PMCID: PMC11009300 DOI: 10.1038/s41467-024-47264-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 03/26/2024] [Indexed: 04/13/2024] Open
Abstract
Naked mole-rats (NMRs) are best known for their extreme longevity and cancer resistance, suggesting that their immune system might have evolved to facilitate these phenotypes. Natural killer (NK) and T cells have evolved to detect and destroy cells infected with pathogens and to provide an early response to malignancies. While it is known that NMRs lack NK cells, likely lost during evolution, little is known about their T-cell subsets in terms of the evolution of the genes that regulate their function, their clonotypic diversity, and the thymus where they mature. Here we find, using single-cell transcriptomics, that NMRs have a large circulating population of γδT cells, which in mice and humans mostly reside in peripheral tissues and induce anti-cancer cytotoxicity. Using single-cell-T-cell-receptor sequencing, we find that a cytotoxic γδT-cell subset of NMRs harbors a dominant clonotype, and that their conventional CD8 αβT cells exhibit modest clonotypic diversity. Consistently, perinatal NMR thymuses are considerably smaller than those of mice yet follow similar involution progression. Our findings suggest that NMRs have evolved under a relaxed intracellular pathogenic selective pressure that may have allowed cancer resistance and longevity to become stronger targets of selection to which the immune system has responded by utilizing γδT cells.
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Affiliation(s)
- Tzuhua D Lin
- Calico Life Sciences LLC, South San Francisco, California, CA, USA
| | | | - Nicole L Fong
- Calico Life Sciences LLC, South San Francisco, California, CA, USA
| | - Megan Smith
- Calico Life Sciences LLC, South San Francisco, California, CA, USA
| | - Wendy Craft
- Calico Life Sciences LLC, South San Francisco, California, CA, USA
| | | | - Rebecca Perry
- Department of Biological Science, University of Illinois at Chicago, Illinois, IL, USA
| | | | - Margaret A Roy
- Calico Life Sciences LLC, South San Francisco, California, CA, USA
| | - Rochelle Buffenstein
- Calico Life Sciences LLC, South San Francisco, California, CA, USA.
- Department of Biological Science, University of Illinois at Chicago, Illinois, IL, USA.
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21
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Gu Y, Bartolomé-Casado R, Xu C, Bertocchi A, Janney A, Heuberger C, Pearson CF, Teichmann SA, Thornton EE, Powrie F. Immune microniches shape intestinal T reg function. Nature 2024; 628:854-862. [PMID: 38570678 PMCID: PMC11041794 DOI: 10.1038/s41586-024-07251-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 02/28/2024] [Indexed: 04/05/2024]
Abstract
The intestinal immune system is highly adapted to maintaining tolerance to the commensal microbiota and self-antigens while defending against invading pathogens1,2. Recognizing how the diverse network of local cells establish homeostasis and maintains it in the complex immune environment of the gut is critical to understanding how tolerance can be re-established following dysfunction, such as in inflammatory disorders. Although cell and molecular interactions that control T regulatory (Treg) cell development and function have been identified3,4, less is known about the cellular neighbourhoods and spatial compartmentalization that shapes microorganism-reactive Treg cell function. Here we used in vivo live imaging, photo-activation-guided single-cell RNA sequencing5-7 and spatial transcriptomics to follow the natural history of T cells that are reactive towards Helicobacter hepaticus through space and time in the settings of tolerance and inflammation. Although antigen stimulation can occur anywhere in the tissue, the lamina propria-but not embedded lymphoid aggregates-is the key microniche that supports effector Treg (eTreg) cell function. eTreg cells are stable once their niche is established; however, unleashing inflammation breaks down compartmentalization, leading to dominance of CD103+SIRPα+ dendritic cells in the lamina propria. We identify and validate the putative tolerogenic interaction between CD206+ macrophages and eTreg cells in the lamina propria and identify receptor-ligand pairs that are likely to govern the interaction. Our results reveal a spatial mechanism of tolerance in the lamina propria and demonstrate how knowledge of local interactions may contribute to the next generation of tolerance-inducing therapies.
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Affiliation(s)
- Yisu Gu
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK
| | - Raquel Bartolomé-Casado
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Pathology, Oslo University Hospital-Rikshospitalet, Oslo, Norway
| | - Chuan Xu
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Alice Bertocchi
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK
| | - Alina Janney
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK
| | - Cornelia Heuberger
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK
- Roche Innovation Center Zurich, Pharma Research and Early Development, F. Hoffmann-La Roche, Schlieren, Switzerland
| | - Claire F Pearson
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Theory of Condensed Matter, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK
| | - Emily E Thornton
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK.
- MRC Translational Immune Discovery Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Fiona Powrie
- Kennedy Institute of Rheumatology, NDORMS, University of Oxford, Oxford, UK.
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22
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Terzoli S, Marzano P, Cazzetta V, Piazza R, Sandrock I, Ravens S, Tan L, Prinz I, Balin S, Calvi M, Carletti A, Cancellara A, Coianiz N, Franzese S, Frigo A, Voza A, Calcaterra F, Di Vito C, Della Bella S, Mikulak J, Mavilio D. Expansion of memory Vδ2 T cells following SARS-CoV-2 vaccination revealed by temporal single-cell transcriptomics. NPJ Vaccines 2024; 9:63. [PMID: 38509155 PMCID: PMC10954735 DOI: 10.1038/s41541-024-00853-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/05/2024] [Indexed: 03/22/2024] Open
Abstract
γδ T cells provide rapid cellular immunity against pathogens. Here, we conducted matched single-cell RNA-sequencing and γδ-TCR-sequencing to delineate the molecular changes in γδ T cells during a longitudinal study following mRNA SARS-CoV-2 vaccination. While the first dose of vaccine primes Vδ2 T cells, it is the second administration that significantly boosts their immune response. Specifically, the second vaccination uncovers memory features of Vδ2 T cells, shaped by the induction of AP-1 family transcription factors and characterized by a convergent central memory signature, clonal expansion, and an enhanced effector potential. This temporally distinct effector response of Vδ2 T cells was also confirmed in vitro upon stimulation with SARS-CoV-2 spike-peptides. Indeed, the second challenge triggers a significantly higher production of IFNγ by Vδ2 T cells. Collectively, our findings suggest that mRNA SARS-CoV-2 vaccination might benefit from the establishment of long-lasting central memory Vδ2 T cells to confer protection against SARS-CoV-2 infection.
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Affiliation(s)
- Sara Terzoli
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Pieve Emanuele, Italy
| | - Paolo Marzano
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Valentina Cazzetta
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Rocco Piazza
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Inga Sandrock
- Institute of Immunology, Hannover Medical School (MHH), Hannover, Germany
| | - Sarina Ravens
- Institute of Immunology, Hannover Medical School (MHH), Hannover, Germany
| | - Likai Tan
- Institute of Systems Immunology, Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Immo Prinz
- Institute of Immunology, Hannover Medical School (MHH), Hannover, Germany
- Institute of Systems Immunology, Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Balin
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Michela Calvi
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Anna Carletti
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Assunta Cancellara
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Nicolò Coianiz
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Sara Franzese
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Alessandro Frigo
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Antonio Voza
- Department of Biomedical Sciences, Humanitas University, Milan, Pieve Emanuele, Italy
- Department of Biomedical Unit, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Francesca Calcaterra
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Clara Di Vito
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Silvia Della Bella
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Joanna Mikulak
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy.
| | - Domenico Mavilio
- Laboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy.
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
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23
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Nakandakari-Higa S, Walker S, Canesso MCC, van der Heide V, Chudnovskiy A, Kim DY, Jacobsen JT, Parsa R, Bilanovic J, Parigi SM, Fiedorczuk K, Fuchs E, Bilate AM, Pasqual G, Mucida D, Kamphorst AO, Pritykin Y, Victora GD. Universal recording of immune cell interactions in vivo. Nature 2024; 627:399-406. [PMID: 38448581 PMCID: PMC11078586 DOI: 10.1038/s41586-024-07134-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/30/2024] [Indexed: 03/08/2024]
Abstract
Immune cells rely on transient physical interactions with other immune and non-immune populations to regulate their function1. To study these 'kiss-and-run' interactions directly in vivo, we previously developed LIPSTIC (labelling immune partnerships by SorTagging intercellular contacts)2, an approach that uses enzymatic transfer of a labelled substrate between the molecular partners CD40L and CD40 to label interacting cells. Reliance on this pathway limited the use of LIPSTIC to measuring interactions between CD4+ T helper cells and antigen-presenting cells, however. Here we report the development of a universal version of LIPSTIC (uLIPSTIC), which can record physical interactions both among immune cells and between immune and non-immune populations irrespective of the receptors and ligands involved. We show that uLIPSTIC can be used, among other things, to monitor the priming of CD8+ T cells by dendritic cells, reveal the steady-state cellular partners of regulatory T cells and identify germinal centre-resident T follicular helper cells on the basis of their ability to interact cognately with germinal centre B cells. By coupling uLIPSTIC with single-cell transcriptomics, we build a catalogue of the immune populations that physically interact with intestinal epithelial cells at the steady state and profile the evolution of the interactome of lymphocytic choriomeningitis virus-specific CD8+ T cells in multiple organs following systemic infection. Thus, uLIPSTIC provides a broadly useful technology for measuring and understanding cell-cell interactions across multiple biological systems.
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Affiliation(s)
| | - Sarah Walker
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Department of Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA
| | - Maria C C Canesso
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Verena van der Heide
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksey Chudnovskiy
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
| | - Dong-Yoon Kim
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Johanne T Jacobsen
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
- Institute for Immunology and Transfusion Medicine, Rikshospitalet, University of Oslo, Oslo, Norway
| | - Roham Parsa
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Jana Bilanovic
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
| | - S Martina Parigi
- Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
| | - Karol Fiedorczuk
- Laboratory of Membrane Biology and Biophysics, The Rockefeller University, New York, NY, USA
| | - Elaine Fuchs
- Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Angelina M Bilate
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Giulia Pasqual
- Laboratory of Synthetic Immunology, Department of Surgery, Oncology and Gastroenterology, University of Padova, Padua, Italy
| | - Daniel Mucida
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Alice O Kamphorst
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yuri Pritykin
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
| | - Gabriel D Victora
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA.
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24
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Yasumizu Y, Takeuchi D, Morimoto R, Takeshima Y, Okuno T, Kinoshita M, Morita T, Kato Y, Wang M, Motooka D, Okuzaki D, Nakamura Y, Mikami N, Arai M, Zhang X, Kumanogoh A, Mochizuki H, Ohkura N, Sakaguchi S. Single-cell transcriptome landscape of circulating CD4 + T cell populations in autoimmune diseases. CELL GENOMICS 2024; 4:100473. [PMID: 38359792 PMCID: PMC10879034 DOI: 10.1016/j.xgen.2023.100473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/07/2023] [Accepted: 12/05/2023] [Indexed: 02/17/2024]
Abstract
CD4+ T cells are key mediators of various autoimmune diseases; however, their role in disease progression remains unclear due to cellular heterogeneity. Here, we evaluated CD4+ T cell subpopulations using decomposition-based transcriptome characterization and canonical clustering strategies. This approach identified 12 independent gene programs governing whole CD4+ T cell heterogeneity, which can explain the ambiguity of canonical clustering. In addition, we performed a meta-analysis using public single-cell datasets of over 1.8 million peripheral CD4+ T cells from 953 individuals by projecting cells onto the reference and cataloging cell frequency and qualitative alterations of the populations in 20 diseases. The analyses revealed that the 12 transcriptional programs were useful in characterizing each autoimmune disease and predicting its clinical status. Moreover, genetic variants associated with autoimmune diseases showed disease-specific enrichment within the 12 gene programs. The results collectively provide a landscape of single-cell transcriptomes of CD4+ T cell subpopulations involved in autoimmune disease.
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Affiliation(s)
- Yoshiaki Yasumizu
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan
| | - Daiki Takeuchi
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Faculty of Medicine, Osaka University, Osaka, Japan
| | - Reo Morimoto
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yusuke Takeshima
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Tatsusada Okuno
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Makoto Kinoshita
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Takayoshi Morita
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yasuhiro Kato
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Min Wang
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Daisuke Motooka
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Daisuke Okuzaki
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Yamami Nakamura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Norihisa Mikami
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Masaya Arai
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Xuan Zhang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Atsushi Kumanogoh
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Center for Infectious Diseases for Education and Research, Osaka University, Osaka, Japan
| | - Hideki Mochizuki
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan
| | - Naganari Ohkura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Frontier Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
| | - Shimon Sakaguchi
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Experimental Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
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25
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Massoni-Badosa R, Aguilar-Fernández S, Nieto JC, Soler-Vila P, Elosua-Bayes M, Marchese D, Kulis M, Vilas-Zornoza A, Bühler MM, Rashmi S, Alsinet C, Caratù G, Moutinho C, Ruiz S, Lorden P, Lunazzi G, Colomer D, Frigola G, Blevins W, Romero-Rivero L, Jiménez-Martínez V, Vidal A, Mateos-Jaimez J, Maiques-Diaz A, Ovejero S, Moreaux J, Palomino S, Gomez-Cabrero D, Agirre X, Weniger MA, King HW, Garner LC, Marini F, Cervera-Paz FJ, Baptista PM, Vilaseca I, Rosales C, Ruiz-Gaspà S, Talks B, Sidhpura K, Pascual-Reguant A, Hauser AE, Haniffa M, Prosper F, Küppers R, Gut IG, Campo E, Martin-Subero JI, Heyn H. An atlas of cells in the human tonsil. Immunity 2024; 57:379-399.e18. [PMID: 38301653 PMCID: PMC10869140 DOI: 10.1016/j.immuni.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/07/2023] [Accepted: 01/09/2024] [Indexed: 02/03/2024]
Abstract
Palatine tonsils are secondary lymphoid organs (SLOs) representing the first line of immunological defense against inhaled or ingested pathogens. We generated an atlas of the human tonsil composed of >556,000 cells profiled across five different data modalities, including single-cell transcriptome, epigenome, proteome, and immune repertoire sequencing, as well as spatial transcriptomics. This census identified 121 cell types and states, defined developmental trajectories, and enabled an understanding of the functional units of the tonsil. Exemplarily, we stratified myeloid slan-like subtypes, established a BCL6 enhancer as locally active in follicle-associated T and B cells, and identified SIX5 as putative transcriptional regulator of plasma cell maturation. Analyses of a validation cohort confirmed the presence, annotation, and markers of tonsillar cell types and provided evidence of age-related compositional shifts. We demonstrate the value of this resource by annotating cells from B cell-derived mantle cell lymphomas, linking transcriptional heterogeneity to normal B cell differentiation states of the human tonsil.
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Affiliation(s)
| | | | - Juan C Nieto
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Paula Soler-Vila
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | | | - Marta Kulis
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Amaia Vilas-Zornoza
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), University of Navarra, IDISNA, Universidad de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Marco Matteo Bühler
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland; Hematopathology Section, Pathology Department, Hospital Clinic, Barcelona, Spain
| | - Sonal Rashmi
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Clara Alsinet
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Ginevra Caratù
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Catia Moutinho
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Sara Ruiz
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Patricia Lorden
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Giulia Lunazzi
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Dolors Colomer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain; Hematopathology Section, Pathology Department, Hospital Clinic, Barcelona, Spain; Departament de Fonaments Clínics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Gerard Frigola
- Hematopathology Section, Pathology Department, Hospital Clinic, Barcelona, Spain
| | - Will Blevins
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | - Lucia Romero-Rivero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Anna Vidal
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Judith Mateos-Jaimez
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Alba Maiques-Diaz
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, Montpellier, France; Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Jérôme Moreaux
- Department of Biological Hematology, CHU Montpellier, Montpellier, France; Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France; Department of Clinical Hematology, CHU Montpellier, Montpellier, France
| | - Sara Palomino
- Translational Bioinformatics Unit (TransBio), Navarrabiomed, Navarra Health Department (CHN), Public University of Navarra (UPNA), Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - David Gomez-Cabrero
- Translational Bioinformatics Unit (TransBio), Navarrabiomed, Navarra Health Department (CHN), Public University of Navarra (UPNA), Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Bioscience Program, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology KAUST, Thuwal, Saudi Arabia
| | - Xabier Agirre
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), University of Navarra, IDISNA, Universidad de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Marc A Weniger
- Institute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Hamish W King
- Epigenetics and Development Division, Walter and Eliza Hall Institute, Parkville, Australia
| | - Lucy C Garner
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Peter M Baptista
- Department of Otorhinolaryngology, University of Navarra, Pamplona, Spain
| | - Isabel Vilaseca
- Otorhinolaryngology Head-Neck Surgery Department, Hospital Clínic, IDIBAPS Universitat de Barcelona, Barcelona, Spain
| | - Cecilia Rosales
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Silvia Ruiz-Gaspà
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Benjamin Talks
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK; Department of Otolaryngology, Freeman Hospital, Newcastle Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Keval Sidhpura
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Anna Pascual-Reguant
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), Berlin, Germany
| | - Anja E Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), Berlin, Germany
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK; Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Felipe Prosper
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), University of Navarra, IDISNA, Universidad de Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain; Departamento de Hematología, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Ivo Glynne Gut
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain; Hematopathology Section, Pathology Department, Hospital Clinic, Barcelona, Spain; Departament de Fonaments Clínics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - José Ignacio Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Departament de Fonaments Clínics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
| | - Holger Heyn
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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26
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Muñoz-Rojas AR, Wang G, Benoist C, Mathis D. Adipose-tissue regulatory T cells are a consortium of subtypes that evolves with age and diet. Proc Natl Acad Sci U S A 2024; 121:e2320602121. [PMID: 38227656 PMCID: PMC10823167 DOI: 10.1073/pnas.2320602121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/08/2023] [Indexed: 01/18/2024] Open
Abstract
Foxp3+CD4+ regulatory T (Treg) cells found within tissues regulate local immunity, inflammation, and homeostasis. Tregs in epididymal visceral adipose tissue (eVAT) are critical regulators of local and systemic inflammation and metabolism. During aging and under obesogenic conditions, eVAT Tregs undergo transcriptional and phenotypic changes and are important for containing inflammation and normalizing metabolic indices. We have employed single-cell RNA sequencing, single-cell Tra and Trb sequencing, adoptive transfers, photoconvertible mice, cellular interaction analyses, and in vitro cultures to dissect the evolving heterogeneity of eVAT Tregs with aging and obesity. Distinct Treg subtypes with distinguishable gene expression profiles and functional roles were enriched at differing ages and with differing diets. Like those in lean mice, eVAT Tregs in obese mice were not primarily recruited from the circulation but instead underwent local expansion and had a distinct and diversified T cell receptor repertoire. The different eVAT-Treg subtypes were specialized in different functions; for example, the subtypes enriched in lean, but not obese, mice suppressed adipogenesis. The existence of functionally divergent eVAT-Treg subtypes in response to obesogenic conditions presents possibilities for precision therapeutics in the context of obesity.
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Affiliation(s)
| | - Gang Wang
- Department of Immunology, Harvard Medical School, Boston, MA02115
| | | | - Diane Mathis
- Department of Immunology, Harvard Medical School, Boston, MA02115
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27
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Zhang H, Xiao W, Zhao M, Zhang Y, Lu D, Lu S, Zhang Q, Peng W, Shu L, Zhang J, Liu S, Zong K, Wang P, Ye B, Zhang D, Li S, Tan S, Liu P, Zhao Y, Zhang F, Wang H, Lu X, Gao GF, Liu J. Characterization of CD8 + T cells in immune-privileged organs of ZIKV-infected Ifnar1-/- mice. J Virol 2024; 98:e0078923. [PMID: 38168677 PMCID: PMC10805016 DOI: 10.1128/jvi.00789-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Zika virus (ZIKV) infection caused neurological complications and male infertility, leading to the accumulation of antigen-specific immune cells in immune-privileged organs (IPOs). Thus, it is important to understand the immunological responses to ZIKV in IPOs. We extensively investigated the ZIKV-specific T cell immunity in IPOs in Ifnar1-/- mice, based on an immunodominant epitope E294-302 tetramer. The distinct kinetics and functions of virus-specific CD8+ T cells infiltrated into different IPOs were characterized, with late elevation in the brain and spinal cord. Single epitope E294-302-specific T cells can account for 20-60% of the total CD8+ T cells in the brain, spinal cord, and testicle and persist for at least 90 days in the brain and spinal cord. The E294-302-specific TCRαβs within the IPOs are featured with the majority of clonotypes utilizing TRAV9N-3 paired with diverse TRBV chains, but with distinct αβ paired clonotypes in 7 and 30 days post-infection. Specific chemokine receptors, Ccr2 and Ccr5, were selectively expressed in the E294-302-specific CD8+ T cells within the brain and testicle, indicating an IPO-oriented migration of virus-specific CD8+ T cells after infection. Overall, this study adds to the understanding of virus-specific CD8+ T cell responses for controlling and clearing ZIKV infection in IPOs.IMPORTANCEThe immune-privileged organs (IPOs), such as the central nervous system and testicles, presented pathogenicity and inflammation after Zika virus (ZIKV) infection with infiltrated CD8+ T cells. Our data show that CD8+ T cells keep up with virus increases and decreases in immune-privileged organs. Furthermore, our study provides the first ex vivo comparative analyses of the composition and diversity related to TCRα/β clonotypes across anatomical sites and ZIKV infection phases. We show that the vast majority of TCRα/β clonotypes in tissues utilize TRAV9N-3 with conservation. Specific chemokine expression, including Ccr2 and Ccr5, was found to be selectively expressed in the E294-302-specific CD8+ T cells within the brain and testicle, indicating an IPO-oriented migration of the virus-specific CD8+ T cells after the infection. Our study adds insights into the anti-viral immunological characterization and chemotaxis mechanism of virus-specific CD8+ T cells after ZIKV infection in different IPOs.
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Affiliation(s)
- Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Wenling Xiao
- Shunde Hospital, Guangzhou Medical University (The Lecong Hospital of Shunde, Foshan), Foshan, China
| | - Min Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yongli Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Dan Lu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Shuangshuang Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qingxu Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weiyu Peng
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Liumei Shu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jie Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Sai Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Kexin Zong
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Pengyan Wang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Shihua Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Fuping Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Huanyu Wang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xuancheng Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George F. Gao
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
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28
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Lu JC, Wu LL, Sun YN, Huang XY, Gao C, Guo XJ, Zeng HY, Qu XD, Chen Y, Wu D, Pei YZ, Meng XL, Zheng YM, Liang C, Zhang PF, Cai JB, Ding ZB, Yang GH, Ren N, Huang C, Wang XY, Gao Q, Sun QM, Shi YH, Qiu SJ, Ke AW, Shi GM, Zhou J, Sun YD, Fan J. Macro CD5L + deteriorates CD8 +T cells exhaustion and impairs combination of Gemcitabine-Oxaliplatin-Lenvatinib-anti-PD1 therapy in intrahepatic cholangiocarcinoma. Nat Commun 2024; 15:621. [PMID: 38245530 PMCID: PMC10799889 DOI: 10.1038/s41467-024-44795-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
Intratumoral immune status influences tumor therapeutic response, but it remains largely unclear how the status determines therapies for patients with intrahepatic cholangiocarcinoma. Here, we examine the single-cell transcriptional and TCR profiles of 18 tumor tissues pre- and post- therapy of gemcitabine plus oxaliplatin, in combination with lenvatinib and anti-PD1 antibody for intrahepatic cholangiocarcinoma. We find that high CD8 GZMB+ and CD8 proliferating proportions and a low Macro CD5L+ proportion predict good response to the therapy. In patients with a poor response, the CD8 GZMB+ and CD8 proliferating proportions are increased, but the CD8 GZMK+ proportion is decreased after the therapy. Transition of CD8 proliferating and CD8 GZMB+ to CD8 GZMK+ facilitates good response to the therapy, while Macro CD5L+-CD8 GZMB+ crosstalk impairs the response by increasing CTLA4 in CD8 GZMB+. Anti-CTLA4 antibody reverses resistance of the therapy in intrahepatic cholangiocarcinoma. Our data provide a resource for predicting response of the combination therapy and highlight the importance of CD8+T-cell status conversion and exhaustion induced by Macro CD5L+ in influencing the response, suggesting future avenues for cancer treatment optimization.
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Affiliation(s)
- Jia-Cheng Lu
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Lei-Lei Wu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yi-Ning Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiao-Yong Huang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Chao Gao
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Xiao-Jun Guo
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Hai-Ying Zeng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xu-Dong Qu
- Department of Intervention Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Chen
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Dong Wu
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yan-Zi Pei
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Xian-Long Meng
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Yi-Min Zheng
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Chen Liang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Peng-Fei Zhang
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Jia-Bin Cai
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Guo-Huan Yang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ning Ren
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Xiao-Ying Wang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Qi-Man Sun
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Shuang-Jian Qiu
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ai-Wu Ke
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Guo-Ming Shi
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital of Fudan University, 200032, Shanghai, China.
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Liver cancer Institute, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China.
| | - Yi-Di Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Liver cancer Institute, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China.
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29
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Suo C, Polanski K, Dann E, Lindeboom RGH, Vilarrasa-Blasi R, Vento-Tormo R, Haniffa M, Meyer KB, Dratva LM, Tuong ZK, Clatworthy MR, Teichmann SA. Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins. Nat Biotechnol 2024; 42:40-51. [PMID: 37055623 PMCID: PMC10791579 DOI: 10.1038/s41587-023-01734-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/07/2023] [Indexed: 04/15/2023]
Abstract
Assessment of single-cell gene expression (single-cell RNA sequencing) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) has been invaluable in studying lymphocyte biology. Here we introduce Dandelion, a computational pipeline for scVDJ-seq analysis. It enables the application of standard V(D)J analysis workflows to single-cell datasets, delivering improved V(D)J contig annotation and the identification of nonproductive and partially spliced contigs. We devised a strategy to create an AIR feature space that can be used for both differential V(D)J usage analysis and pseudotime trajectory inference. The application of Dandelion improved the alignment of human thymic development trajectories of double-positive T cells to mature single-positive CD4/CD8 T cells, generating predictions of factors regulating lineage commitment. Dandelion analysis of other cell compartments provided insights into the origins of human B1 cells and ILC/NK cell development, illustrating the power of our approach. Dandelion is available at https://www.github.com/zktuong/dandelion .
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Affiliation(s)
- Chenqu Suo
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Paediatrics, Cambridge University Hospitals, Cambridge, UK
| | | | - Emma Dann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | | | | | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Kerstin B Meyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lisa M Dratva
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Zewen Kelvin Tuong
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK.
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
| | - Menna R Clatworthy
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- Theory of Condensed Matter, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK.
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30
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Barmada A, Handfield LF, Godoy-Tena G, de la Calle-Fabregat C, Ciudad L, Arutyunyan A, Andrés-León E, Hoo R, Porter T, Oszlanczi A, Richardson L, Calero-Nieto FJ, Wilson NK, Marchese D, Sancho-Serra C, Carrillo J, Presas-Rodríguez S, Ramo-Tello C, Ruiz-Sanmartin A, Ferrer R, Ruiz-Rodriguez JC, Martínez-Gallo M, Munera-Campos M, Carrascosa JM, Göttgens B, Heyn H, Prigmore E, Casafont-Solé I, Solanich X, Sánchez-Cerrillo I, González-Álvaro I, Raimondo MG, Ramming A, Martin J, Martínez-Cáceres E, Ballestar E, Vento-Tormo R, Rodríguez-Ubreva J. Single-cell multi-omics analysis of COVID-19 patients with pre-existing autoimmune diseases shows aberrant immune responses to infection. Eur J Immunol 2024; 54:e2350633. [PMID: 37799110 DOI: 10.1002/eji.202350633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/07/2023]
Abstract
In COVID-19, hyperinflammatory and dysregulated immune responses contribute to severity. Patients with pre-existing autoimmune conditions can therefore be at increased risk of severe COVID-19 and/or associated sequelae, yet SARS-CoV-2 infection in this group has been little studied. Here, we performed single-cell analysis of peripheral blood mononuclear cells from patients with three major autoimmune diseases (rheumatoid arthritis, psoriasis, or multiple sclerosis) during SARS-CoV-2 infection. We observed compositional differences between the autoimmune disease groups coupled with altered patterns of gene expression, transcription factor activity, and cell-cell communication that substantially shape the immune response under SARS-CoV-2 infection. While enrichment of HLA-DRlow CD14+ monocytes was observed in all three autoimmune disease groups, type-I interferon signaling as well as inflammatory T cell and monocyte responses varied widely between the three groups of patients. Our results reveal disturbed immune responses to SARS-CoV-2 in patients with pre-existing autoimmunity, highlighting important considerations for disease treatment and follow-up.
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Affiliation(s)
- Anis Barmada
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
- Department of Medical Genetics, University of Cambridge, Cambridge, United Kingdom
| | | | - Gerard Godoy-Tena
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), Barcelona, Spain
| | | | - Laura Ciudad
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), Barcelona, Spain
| | - Anna Arutyunyan
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Eduardo Andrés-León
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Regina Hoo
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Tarryn Porter
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Agnes Oszlanczi
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Laura Richardson
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Fernando J Calero-Nieto
- Department of Haematology and Wellcome & MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Nicola K Wilson
- Department of Haematology and Wellcome & MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Domenica Marchese
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Carmen Sancho-Serra
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Jorge Carrillo
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Silvia Presas-Rodríguez
- MS Unit, Department of Neurology, Germans Trias i Pujol University Hospital, Barcelona, Spain
| | - Cristina Ramo-Tello
- MS Unit, Department of Neurology, Germans Trias i Pujol University Hospital, Barcelona, Spain
| | - Adolfo Ruiz-Sanmartin
- Department of Intensive Care, Hospital Universitari Vall d'Hebron, Shock, Organ Dysfunction and Resuscitation Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Ricard Ferrer
- Department of Intensive Care, Hospital Universitari Vall d'Hebron, Shock, Organ Dysfunction and Resuscitation Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Juan Carlos Ruiz-Rodriguez
- Department of Intensive Care, Hospital Universitari Vall d'Hebron, Shock, Organ Dysfunction and Resuscitation Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Mónica Martínez-Gallo
- Division of Immunology, Hospital Universitari Vall d'Hebron (HUVH), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Mónica Munera-Campos
- Dermatology Service, Germans Trias i Pujol University Hospital, LCMN, Germans Trias i Pujol Research Institute (IGTP), Barcelona, Spain
| | - Jose Manuel Carrascosa
- Dermatology Service, Germans Trias i Pujol University Hospital, LCMN, Germans Trias i Pujol Research Institute (IGTP), Barcelona, Spain
| | - Berthold Göttgens
- Department of Haematology and Wellcome & MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elena Prigmore
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Ivette Casafont-Solé
- Department of Rheumatology, Germans Trias i Pujol University Hospital, LCMN, Germans Trias i Pujol Research Institute (IGTP), Barcelona, Spain
- Department of Infectious Diseases, Germans Trias i Pujol University Hospital, Barcelona, Spain
| | - Xavier Solanich
- Department of Internal Medicine, Hospital Universitari de Bellvitge, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | | | | | - Maria Gabriella Raimondo
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Andreas Ramming
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Javier Martin
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Eva Martínez-Cáceres
- Division of Immunology, Germans Trias i Pujol University Hospital, LCMN, Germans Trias i Pujol Research Institute (IGTP), Barcelona, Spain
- Department of Cell Biology, Physiology, and Immunology, Universitat Autònoma, Barcelona, Spain
| | - Esteban Ballestar
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), Barcelona, Spain
| | - Roser Vento-Tormo
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Javier Rodríguez-Ubreva
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), Barcelona, Spain
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31
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Sidiropoulos DN, Ho WJ, Jaffee EM, Kagohara LT, Fertig EJ. Systems immunology spanning tumors, lymph nodes, and periphery. CELL REPORTS METHODS 2023; 3:100670. [PMID: 38086385 PMCID: PMC10753389 DOI: 10.1016/j.crmeth.2023.100670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 10/20/2023] [Accepted: 11/17/2023] [Indexed: 12/21/2023]
Abstract
The immune system defines a complex network of tissues and cell types that orchestrate responses across the body in a dynamic manner. The local and systemic interactions between immune and cancer cells contribute to disease progression. Lymphocytes are activated in lymph nodes, traffic through the periphery, and impact cancer progression through their interactions with tumor cells. As a result, therapeutic response and resistance are mediated across tissues, and a comprehensive understanding of lymphocyte dynamics requires a systems-level approach. In this review, we highlight experimental and computational methods that can leverage the study of leukocyte trafficking through an immunomics lens and reveal how adaptive immunity shapes cancer.
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Affiliation(s)
- Dimitrios N Sidiropoulos
- Johns Hopkins University School of Medicine, Baltimore, MD, USA; Johns Hopkins Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA; Johns Hopkins Bloomberg Kimmel Institute for Immunotherapy, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Won Jin Ho
- Johns Hopkins Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA; Johns Hopkins Bloomberg Kimmel Institute for Immunotherapy, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Elizabeth M Jaffee
- Johns Hopkins Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA; Johns Hopkins Bloomberg Kimmel Institute for Immunotherapy, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Luciane T Kagohara
- Johns Hopkins Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA; Johns Hopkins Bloomberg Kimmel Institute for Immunotherapy, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, MD, USA.
| | - Elana J Fertig
- Johns Hopkins Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA; Johns Hopkins Bloomberg Kimmel Institute for Immunotherapy, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, MD, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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32
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Conceição-Neto N, Pierson W, Vacca M, Beyens M, De Clerck B, Aerts L, Voeten B, De Pooter D, Verschueren L, Dockx K, Vandenberk M, De Troyer E, Verwilt K, Van Hove C, Verslegers M, Bosseler L, Crabbe M, Krishna V, Nájera I, Van Gulck E. Sustained Liver HBsAg Loss and Clonal T- and B-Cell Expansion upon Therapeutic DNA Vaccination Require Low HBsAg Levels. Vaccines (Basel) 2023; 11:1825. [PMID: 38140229 PMCID: PMC10747285 DOI: 10.3390/vaccines11121825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/27/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Suppression of HBV DNA, inhibition of HBV surface (HBsAg) production and therapeutic vaccination to reverse HBV-specific T-cell exhaustion in chronic HBV patients are likely required to achieve a functional cure. In the AAV-HBV mouse model, therapeutic vaccination can be effective in clearing HBV when HBsAg levels are low. Using a single-cell approach, we investigated the liver immune environment with different levels of HBsAg and sustained HBsAg loss through treatment with a GalNAc-HBV-siRNA followed by therapeutic vaccination. METHODS AAV-HBV-transduced C57BL/6 mice were treated with GalNAc-HBV-siRNA to lower HBsAg levels and then vaccinated using a DNA vaccine. We used single-cell RNA and V(D)J sequencing to understand liver immune microenvironment changes. RESULTS GalNAc-HBV-siRNA, followed by therapeutic vaccination, achieved sustained HBsAg loss in all mice. This was accompanied by CD4 follicular helper T-cell induction, polyclonal activation of CD8 T cells and clonal expansion of plasma cells that were responsible for antibody production. CONCLUSIONS This study provides novel insights into liver immune changes at the single-cell level, highlighting the correlation between induced reduction of HBsAg levels and clonal expansion of CD4, CD8 T cells and plasma cells in the liver upon HBV siRNA and subsequent therapeutic vaccination.
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Affiliation(s)
- Nádia Conceição-Neto
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Wim Pierson
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Maurizio Vacca
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Matthias Beyens
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Ben De Clerck
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Liese Aerts
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Birgit Voeten
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Dorien De Pooter
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Lore Verschueren
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Koen Dockx
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Mathias Vandenberk
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Ewoud De Troyer
- SDS Discovery Statistics, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (E.D.T.); (M.C.)
| | - Kato Verwilt
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Carl Van Hove
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Mieke Verslegers
- Preclinical Sciences and Translational Safety (PSTS) Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.V.); (L.B.)
| | - Leslie Bosseler
- Preclinical Sciences and Translational Safety (PSTS) Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.V.); (L.B.)
| | - Marjolein Crabbe
- SDS Discovery Statistics, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (E.D.T.); (M.C.)
| | - Vinod Krishna
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, 1400 McKean Road, Spring House, PA 19002, USA;
| | - Isabel Nájera
- Infectious Diseases and Vaccines, Janssen Research and Development, 1600 Sierra Point Parkway, South San Francisco, CA 94005, USA;
| | - Ellen Van Gulck
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
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Nouri N, Kurlovs AH, Gaglia G, de Rinaldis E, Savova V. Scaling up single-cell RNA-seq data analysis with CellBridge workflow. Bioinformatics 2023; 39:btad760. [PMID: 38113416 PMCID: PMC10751228 DOI: 10.1093/bioinformatics/btad760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/04/2023] [Accepted: 12/18/2023] [Indexed: 12/21/2023] Open
Abstract
SUMMARY Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression at the individual cell level, unraveling unprecedented insights into cellular heterogeneity. However, the analysis of scRNA-seq data remains a challenging and time-consuming task, often demanding advanced computational expertise, rendering it impractical for high-volume environments and applications. We present CellBridge, an automated workflow designed to simplify the standard procedures entailed in scRNA-seq data analysis, eliminating the need for specialized computational expertise. CellBridge utilizes state-of-the-art computational methods, integrating a range of advanced functionalities, covering the entire process from raw unaligned sequencing reads to cell type annotation. Hence, CellBridge accelerates the pace of discovery by seamlessly enabling insights into vast volumes of scRNA-seq data, without compromising workflow control and reproducibility. AVAILABILITY AND IMPLEMENTATION The source code, detailed documentation, and materials required to reproduce the results are available on GitHub and archived in Zenodo. For the CellBridge pre-processing step (v1.0.0), access the GitHub repository at https://github.com/Sanofi-Public/PMCB-ToBridge and the Zenodo archive at https://zenodo.org/records/10246161. For the CellBridge processing step (v1.0.0), visit the GitHub repository at https://github.com/Sanofi-Public/PMCB-CellBridge and the Zenodo archive at https://zenodo.org/records/10246046.
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Affiliation(s)
- Nima Nouri
- Precision Medicine and Computational Biology, Sanofi, Cambridge, MA 02141, United States
| | - Andre H Kurlovs
- Precision Medicine and Computational Biology, Sanofi, Cambridge, MA 02141, United States
| | - Giorgio Gaglia
- Precision Medicine and Computational Biology, Sanofi, Cambridge, MA 02141, United States
| | - Emanuele de Rinaldis
- Precision Medicine and Computational Biology, Sanofi, Cambridge, MA 02141, United States
| | - Virginia Savova
- Precision Medicine and Computational Biology, Sanofi, Cambridge, MA 02141, United States
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Borràs DM, Verbandt S, Ausserhofer M, Sturm G, Lim J, Verge GA, Vanmeerbeek I, Laureano RS, Govaerts J, Sprooten J, Hong Y, Wall R, De Hertogh G, Sagaert X, Bislenghi G, D'Hoore A, Wolthuis A, Finotello F, Park WY, Naulaerts S, Tejpar S, Garg AD. Single cell dynamics of tumor specificity vs bystander activity in CD8 + T cells define the diverse immune landscapes in colorectal cancer. Cell Discov 2023; 9:114. [PMID: 37968259 PMCID: PMC10652011 DOI: 10.1038/s41421-023-00605-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 09/18/2023] [Indexed: 11/17/2023] Open
Abstract
CD8+ T cell activation via immune checkpoint blockade (ICB) is successful in microsatellite instable (MSI) colorectal cancer (CRC) patients. By comparison, the success of immunotherapy against microsatellite stable (MSS) CRC is limited. Little is known about the most critical features of CRC CD8+ T cells that together determine the diverse immune landscapes and contrasting ICB responses. Hence, we pursued a deep single cell mapping of CRC CD8+ T cells on transcriptomic and T cell receptor (TCR) repertoire levels in a diverse patient cohort, with additional surface proteome validation. This revealed that CRC CD8+ T cell dynamics are underscored by complex interactions between interferon-γ signaling, tumor reactivity, TCR repertoire, (predicted) TCR antigen-specificities, and environmental cues like gut microbiome or colon tissue-specific 'self-like' features. MSI CRC CD8+ T cells showed tumor-specific activation reminiscent of canonical 'T cell hot' tumors, whereas the MSS CRC CD8+ T cells exhibited tumor unspecific or bystander-like features. This was accompanied by inflammation reminiscent of 'pseudo-T cell hot' tumors. Consequently, MSI and MSS CRC CD8+ T cells showed overlapping phenotypic features that differed dramatically in their TCR antigen-specificities. Given their high discriminating potential for CD8+ T cell features/specificities, we used the single cell tumor-reactive signaling modules in CD8+ T cells to build a bulk tumor transcriptome classification for CRC patients. This "Immune Subtype Classification" (ISC) successfully distinguished various tumoral immune landscapes that showed prognostic value and predicted immunotherapy responses in CRC patients. Thus, we deliver a unique map of CRC CD8+ T cells that drives a novel tumor immune landscape classification, with relevance for immunotherapy decision-making.
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Affiliation(s)
- Daniel Morales Borràs
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Markus Ausserhofer
- Universität Innsbruck, Department of Molecular Biology, Digital Science Center (DiSC), Innsbruck, Austria
| | - Gregor Sturm
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jinyeong Lim
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Seoul, Republic of Korea
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Seoul, Republic of Korea
| | - Gil Arasa Verge
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Isaure Vanmeerbeek
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Raquel S Laureano
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jannes Govaerts
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jenny Sprooten
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Yourae Hong
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Rebecca Wall
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Gert De Hertogh
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Xavier Sagaert
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Gabriele Bislenghi
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - André D'Hoore
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Albert Wolthuis
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Francesca Finotello
- Universität Innsbruck, Department of Molecular Biology, Digital Science Center (DiSC), Innsbruck, Austria
| | - Woong-Yang Park
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Seoul, Republic of Korea
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Seoul, Republic of Korea
| | - Stefan Naulaerts
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
| | - Abhishek D Garg
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
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Liu Z, Zhang Y, Ma N, Yang Y, Ma Y, Wang F, Wang Y, Wei J, Chen H, Tartarone A, Velotta JB, Dayyani F, Gabriel E, Wakefield CJ, Kidane B, Carbonelli C, Long L, Liu Z, Su J, Li Z. Progenitor-like exhausted SPRY1 +CD8 + T cells potentiate responsiveness to neoadjuvant PD-1 blockade in esophageal squamous cell carcinoma. Cancer Cell 2023; 41:1852-1870.e9. [PMID: 37832554 DOI: 10.1016/j.ccell.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 08/15/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023]
Abstract
Neoadjuvant immune checkpoint blockade (ICB) demonstrates promise in operable esophageal squamous cell carcinoma (ESCC), but lacks available efficacy biomarkers. Here, we perform single-cell RNA-sequencing of tumors from patients with ESCC undergoing neoadjuvant ICB, revealing a subset of exhausted CD8+ T cells expressing SPRY1 (CD8+ Tex-SPRY1) that displays a progenitor exhausted T cell (Tpex) phenotype and correlates with complete response to ICB. We validate CD8+ Tex-SPRY1 cells as an ICB-specific predictor of improved response and survival using independent ICB-/non-ICB cohorts and demonstrate that expression of SPRY1 in CD8+ T cells enforces Tpex phenotype and enhances ICB efficacy. Additionally, CD8+ Tex-SPRY1 cells contribute to proinflammatory phenotype of macrophages and functional state of B cells, which thereby promotes antitumor immunity by enhancing CD8+ T cell effector functions. Overall, our findings unravel progenitor-like CD8+ Tex-SPRY1 cells' role in effective responses to ICB for ESCC and inform mechanistic biomarkers for future individualized immunotherapy.
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Affiliation(s)
- Zhichao Liu
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yaru Zhang
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang 325101, China
| | - Ning Ma
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yang Yang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yunlong Ma
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Feng Wang
- State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yan Wang
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Jinzhi Wei
- Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Hongyan Chen
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Alfredo Tartarone
- Division of Medical Oncology, Department of Onco-Hematology, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture (PZ) 85028, Italy
| | - Jeffrey B Velotta
- Department of Thoracic Surgery, Kaiser Permanente Oakland Medical Center, Kaiser Permanente Northern California, Oakland, CA 94611, USA
| | - Farshid Dayyani
- Chao Comprehensive Cancer Center, University of California Irvine, Orange, CA 92868, USA
| | - Emmanuel Gabriel
- Department of Surgery, Division of Surgical Oncology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Connor J Wakefield
- Department of Internal Medicine, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA
| | - Biniam Kidane
- Section of Thoracic Surgery, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Cristiano Carbonelli
- Pneumology Unit, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo 71013, Italy
| | - Lingyun Long
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Zhihua Liu
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Jianzhong Su
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang 325101, China.
| | - Zhigang Li
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China.
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Hoffmann M, Willruth LL, Dietrich A, Lee HK, Knabl L, Trummer N, Baumbach J, Furth PA, Hennighausen L, List M. Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.03.564190. [PMID: 38076885 PMCID: PMC10705570 DOI: 10.1101/2023.11.03.564190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Bulk RNA sequencing (RNA-seq) of blood is typically used for gene expression analysis in biomedical research but is still rarely used in clinical practice. In this study, we argue that RNA-seq should be considered a routine diagnostic tool, as it offers not only insights into aberrant gene expression and splicing but also delivers additional readouts on immune cell type composition as well as B-cell and T-cell receptor (BCR/TCR) repertoires. We demonstrate that RNA-seq offers vital insights into a patient's immune status via integrative analysis of RNA-seq data from patients infected with various SARS-CoV-2 variants (in total 240 samples with up to 200 million reads sequencing depth). We compare the results of computational cell-type deconvolution methods (e.g., MCP-counter, xCell, EPIC, quanTIseq) to complete blood count data, the current gold standard in clinical practice. We observe varying levels of lymphocyte depletion and significant differences in neutrophil levels between SARS-CoV-2 variants. Additionally, we identify B and T cell receptor (BCR/TCR) sequences using the tools MiXCR and TRUST4 to show that - combined with sequence alignments and pBLAST - they could be used to classify a patient's disease. Finally, we investigated the sequencing depth required for such analyses and concluded that 10 million reads per sample is sufficient. In conclusion, our study reveals that computational cell-type deconvolution and BCR/TCR methods using bulk RNA-seq analyses can supplement missing CBC data and offer insights into immune responses, disease severity, and pathogen-specific immunity, all achievable with a sequencing depth of 10 million reads per sample.
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Affiliation(s)
- Markus Hoffmann
- Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
- Institute for Advanced Study (Lichtenbergstrasse 2 a, D-85748 Garching, Germany), Technical University of Munich, Germany
- National Institute of Diabetes, Digestive, and Kidney Diseases, Bethesda, MD 20892, United States of America
| | - Lina-Liv Willruth
- Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Alexander Dietrich
- Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Hye Kyung Lee
- National Institute of Diabetes, Digestive, and Kidney Diseases, Bethesda, MD 20892, United States of America
| | | | - Nico Trummer
- Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Jan Baumbach
- Chair of Computational Systems Biology, University of Hamburg, Hamburg, Germany
- Computational BioMedicine Lab, University of Southern Denmark, Odense, Denmark
| | - Priscilla A. Furth
- Institute for Advanced Study (Lichtenbergstrasse 2 a, D-85748 Garching, Germany), Technical University of Munich, Germany
- National Institute of Diabetes, Digestive, and Kidney Diseases, Bethesda, MD 20892, United States of America
- Departments of Oncology & Medicine, Georgetown University, Washington, DC, United States of America
| | - Lothar Hennighausen
- Institute for Advanced Study (Lichtenbergstrasse 2 a, D-85748 Garching, Germany), Technical University of Munich, Germany
- National Institute of Diabetes, Digestive, and Kidney Diseases, Bethesda, MD 20892, United States of America
| | - Markus List
- Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
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Nelde A, Schuster H, Heitmann JS, Bauer J, Maringer Y, Zwick M, Volkmer JP, Chen JY, Stanger AMP, Lehmann A, Appiah B, Märklin M, Rücker-Braun E, Salih HR, Roerden M, Schroeder SM, Häring MF, Schlosser A, Schetelig J, Schmitz M, Boerries M, Köhler N, Lengerke C, Majeti R, Weissman IL, Rammensee HG, Walz JS. Immune Surveillance of Acute Myeloid Leukemia Is Mediated by HLA-Presented Antigens on Leukemia Progenitor Cells. Blood Cancer Discov 2023; 4:468-489. [PMID: 37847741 PMCID: PMC10618727 DOI: 10.1158/2643-3230.bcd-23-0020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/13/2023] [Accepted: 09/28/2023] [Indexed: 10/19/2023] Open
Abstract
Therapy-resistant leukemia stem and progenitor cells (LSC) are a main cause of acute myeloid leukemia (AML) relapse. LSC-targeting therapies may thus improve outcome of patients with AML. Here we demonstrate that LSCs present HLA-restricted antigens that induce T-cell responses allowing for immune surveillance of AML. Using a mass spectrometry-based immunopeptidomics approach, we characterized the antigenic landscape of patient LSCs and identified AML- and AML/LSC-associated HLA-presented antigens absent from normal tissues comprising nonmutated peptides, cryptic neoepitopes, and neoepitopes of common AML driver mutations of NPM1 and IDH2. Functional relevance of shared AML/LSC antigens is illustrated by presence of their cognizant memory T cells in patients. Antigen-specific T-cell recognition and HLA class II immunopeptidome diversity correlated with clinical outcome. Together, these antigens shared among AML and LSCs represent prime targets for T cell-based therapies with potential of eliminating residual LSCs in patients with AML. SIGNIFICANCE The elimination of therapy-resistant leukemia stem and progenitor cells (LSC) remains a major challenge in the treatment of AML. This study identifies and functionally validates LSC-associated HLA class I and HLA class II-presented antigens, paving the way to the development of LSC-directed T cell-based immunotherapeutic approaches for patients with AML. See related commentary by Ritz, p. 430 . This article is featured in Selected Articles from This Issue, p. 419.
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Affiliation(s)
- Annika Nelde
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Heiko Schuster
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Jonas S. Heitmann
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Jens Bauer
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Yacine Maringer
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Melissa Zwick
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jens-Peter Volkmer
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - James Y. Chen
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - Anna M. Paczulla Stanger
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Ariane Lehmann
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
| | - Bismark Appiah
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
| | - Melanie Märklin
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Elke Rücker-Braun
- Department of Medicine I, University Hospital of Dresden, Dresden, Germany
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Helmut R. Salih
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Malte Roerden
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Sarah M. Schroeder
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Max-Felix Häring
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | | | - Johannes Schetelig
- Department of Medicine I, University Hospital of Dresden, Dresden, Germany
- German Bone Marrow Donor Center (DKMS), Clinical Trials Unit, Dresden, Germany
| | - Marc Schmitz
- Institute of Immunology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Melanie Boerries
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site, Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Natalie Köhler
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany
| | - Claudia Lengerke
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel, Switzerland
- Clinic for Hematology, University of Basel and University Hospital Basel, Basel, Switzerland
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Germany
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Irving L. Weissman
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Germany
| | - Juliane S. Walz
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
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Schmidt F, Fields HF, Purwanti Y, Milojkovic A, Salim S, Wu KX, Simoni Y, Vitiello A, MacLeod DT, Nardin A, Newell EW, Fink K, Wilm A, Fehlings M. In-depth analysis of human virus-specific CD8 + T cells delineates unique phenotypic signatures for T cell specificity prediction. Cell Rep 2023; 42:113250. [PMID: 37837618 DOI: 10.1016/j.celrep.2023.113250] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 07/21/2023] [Accepted: 09/26/2023] [Indexed: 10/16/2023] Open
Abstract
Following viral infection, the human immune system generates CD8+ T cell responses to virus antigens that differ in specificity, abundance, and phenotype. A characterization of virus-specific T cell responses allows one to assess infection history and to understand its contribution to protective immunity. Here, we perform in-depth profiling of CD8+ T cells binding to CMV-, EBV-, influenza-, and SARS-CoV-2-derived antigens in peripheral blood samples from 114 healthy donors and 55 cancer patients using high-dimensional mass cytometry and single-cell RNA sequencing. We analyze over 500 antigen-specific T cell responses across six different HLA alleles and observed unique phenotypes of T cells specific for antigens from different virus categories. Using machine learning, we extract phenotypic signatures of antigen-specific T cells, predict virus specificity for bulk CD8+ T cells, and validate these predictions, suggesting that machine learning can be used to accurately predict antigen specificity from T cell phenotypes.
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Affiliation(s)
| | | | | | | | | | - Kan Xing Wu
- ImmunoScape Pte Ltd, Singapore 228208, Singapore
| | | | | | | | | | - Evan W Newell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Katja Fink
- ImmunoScape Pte Ltd, Singapore 228208, Singapore
| | - Andreas Wilm
- ImmunoScape Pte Ltd, Singapore 228208, Singapore
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39
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Jayaraman S, Montagne JM, Nirschl TR, Marcisak E, Johnson J, Huff A, Hsiao MH, Nauroth J, Heumann T, Zarif JC, Jaffee EM, Azad N, Fertig EJ, Zaidi N, Larman HB. Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses. CELL REPORTS METHODS 2023; 3:100600. [PMID: 37776855 PMCID: PMC10626196 DOI: 10.1016/j.crmeth.2023.100600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/23/2023] [Accepted: 09/07/2023] [Indexed: 10/02/2023]
Abstract
Assays linking cellular phenotypes with T cell or B cell antigen receptor sequences are crucial for characterizing adaptive immune responses. Existing methodologies are limited by low sample throughput and high cost. Here, we present INtraCEllular Reverse Transcription with Sorting and sequencing (INCERTS), an approach that combines molecular indexing of receptor repertoires within intact cells and fluorescence-activated cell sorting (FACS). We demonstrate that INCERTS enables efficient processing of millions of cells from pooled human peripheral blood mononuclear cell (PBMC) samples while retaining robust association between T cell receptor (TCR) sequences and cellular phenotypes. We used INCERTS to discover antigen-specific TCRs from patients with cancer immunized with a novel mutant KRAS peptide vaccine. After ex vivo stimulation, 28 uniquely barcoded samples were pooled prior to FACS into peptide-reactive and non-reactive CD4+ and CD8+ populations. Combining complementary patient-matched single-cell RNA sequencing (scRNA-seq) data enabled retrieval of full-length, paired TCR alpha and beta chain sequences for future validation of therapeutic utility.
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Affiliation(s)
- Sahana Jayaraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Janelle M Montagne
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thomas R Nirschl
- Pathobiology Graduate Program, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA
| | - Emily Marcisak
- Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeanette Johnson
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Immunology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Amanda Huff
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Meng-Hsuan Hsiao
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Julie Nauroth
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thatcher Heumann
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Hematology Oncology, Vanderbilt-Ingram Comprehensive Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jelani C Zarif
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA
| | - Elizabeth M Jaffee
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nilo Azad
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Elana J Fertig
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Neeha Zaidi
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
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40
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Krykbaeva I, Bridges K, Damsky W, Pizzurro GA, Alexander AF, McGeary MK, Park K, Muthusamy V, Eyles J, Luheshi N, Turner N, Weiss SA, Olino K, Kaech SM, Kluger HM, Miller-Jensen K, Bosenberg M. Combinatorial Immunotherapy with Agonistic CD40 Activates Dendritic Cells to Express IL12 and Overcomes PD-1 Resistance. Cancer Immunol Res 2023; 11:1332-1350. [PMID: 37478171 DOI: 10.1158/2326-6066.cir-22-0699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/17/2023] [Accepted: 07/20/2023] [Indexed: 07/23/2023]
Abstract
Checkpoint inhibitors have revolutionized cancer treatment, but resistance remains a significant clinical challenge. Myeloid cells within the tumor microenvironment can modulate checkpoint resistance by either supporting or suppressing adaptive immune responses. Using an anti-PD-1-resistant mouse melanoma model, we show that targeting the myeloid compartment via CD40 activation and CSF1R blockade in combination with anti-PD-1 results in complete tumor regression in a majority of mice. This triple therapy combination was primarily CD40 agonist-driven in the first 24 hours after therapy and showed a similar systemic cytokine profile in human patients as was seen in mice. Functional single-cell cytokine secretion profiling of dendritic cells (DC) using a novel microwell assay identified a CCL22+CCL5+ IL12-secreting DC subset as important early-stage effectors of triple therapy. CD4+ and CD8+ T cells are both critical effectors of treatment, and systems analysis of single-cell RNA sequencing data supported a role for DC-secreted IL12 in priming T-cell activation and recruitment. Finally, we showed that treatment with a novel IL12 mRNA therapeutic alone was sufficient to overcome PD-1 resistance and cause tumor regression. Overall, we conclude that combining myeloid-based innate immune activation and enhancement of adaptive immunity is a viable strategy to overcome anti-PD-1 resistance.
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Affiliation(s)
- Irina Krykbaeva
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Kate Bridges
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - William Damsky
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Gabriela A Pizzurro
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Amanda F Alexander
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Meaghan K McGeary
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Koonam Park
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Viswanathan Muthusamy
- Yale Center for Precision Cancer Modeling, Yale School of Medicine, New Haven, Connecticut
| | - James Eyles
- Oncology Research and Early Development, AstraZeneca, Cambridge, United Kingdom
| | - Nadia Luheshi
- Oncology Research and Early Development, AstraZeneca, Cambridge, United Kingdom
| | - Noel Turner
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Sarah A Weiss
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kelly Olino
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Susan M Kaech
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute of Biological Sciences, La Jolla, California
| | - Harriet M Kluger
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kathryn Miller-Jensen
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut
| | - Marcus Bosenberg
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Precision Cancer Modeling, Yale School of Medicine, New Haven, Connecticut
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut
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41
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Martini GR, Tikhonova E, Rosati E, DeCelie MB, Sievers LK, Tran F, Lessing M, Bergfeld A, Hinz S, Nikolaus S, Kümpers J, Matysiak A, Hofmann P, Saggau C, Schneiders S, Kamps AK, Jacobs G, Lieb W, Maul J, Siegmund B, Seegers B, Hinrichsen H, Oberg HH, Wesch D, Bereswill S, Heimesaat MM, Rupp J, Kniemeyer O, Brakhage AA, Brunke S, Hube B, Aden K, Franke A, Iliev ID, Scheffold A, Schreiber S, Bacher P. Selection of cross-reactive T cells by commensal and food-derived yeasts drives cytotoxic T H1 cell responses in Crohn's disease. Nat Med 2023; 29:2602-2614. [PMID: 37749331 PMCID: PMC10579100 DOI: 10.1038/s41591-023-02556-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/22/2023] [Indexed: 09/27/2023]
Abstract
Aberrant CD4+ T cell reactivity against intestinal microorganisms is considered to drive mucosal inflammation in inflammatory bowel diseases. The disease-relevant microbial species and the corresponding microorganism-specific, pathogenic T cell phenotypes remain largely unknown. In the present study, we identified common gut commensal and food-derived yeasts, as direct activators of altered CD4+ T cell reactions in patients with Crohn's disease (CD). Yeast-responsive CD4+ T cells in CD display a cytotoxic T helper cell (TH1 cell) phenotype and show selective expansion of T cell clones that are highly cross-reactive to several commensal, as well as food-derived, fungal species. This indicates cross-reactive T cell selection by repeated encounter with conserved fungal antigens in the context of chronic intestinal disease. Our results highlighted a role of yeasts as drivers of aberrant CD4+ T cell reactivity in patients with CD and suggest that both gut-resident fungal commensals and daily dietary intake of yeasts might contribute to chronic activation of inflammatory CD4+ T cell responses in patients with CD.
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Affiliation(s)
- Gabriela Rios Martini
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Ekaterina Tikhonova
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Elisa Rosati
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Meghan Bialt DeCelie
- The Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Microbiology and Immunology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Laura Katharina Sievers
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Florian Tran
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Matthias Lessing
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Arne Bergfeld
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Sophia Hinz
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Susanna Nikolaus
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Julia Kümpers
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Anna Matysiak
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Philipp Hofmann
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Carina Saggau
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Stephan Schneiders
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Ann-Kristin Kamps
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Gunnar Jacobs
- Institute of Epidemiology, Christian-Albrechts-University of Kiel and popgen Biobank, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University of Kiel and popgen Biobank, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Jochen Maul
- Gastroenterologie am Bayerischen Platz, Berlin, Germany
- Department of Gastroenterology, Rheumatology and Infectious Diseases, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Britta Siegmund
- Department of Gastroenterology, Rheumatology and Infectious Diseases, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | | | | | - Hans-Heinrich Oberg
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Daniela Wesch
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Stefan Bereswill
- Institute of Microbiology, Infectious Diseases and Immunology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Markus M Heimesaat
- Institute of Microbiology, Infectious Diseases and Immunology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Jan Rupp
- Department of Infectious Diseases and Microbiology, University of Lübeck, Lübeck, Germany
| | - Olaf Kniemeyer
- Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knoell Institute, Jena, Germany
| | - Axel A Brakhage
- Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knoell Institute, Jena, Germany
- Friedrich Schiller Universität, Jena, Germany
| | - Sascha Brunke
- Institute of Microbiology, Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knoell Institute, Jena, Germany
| | - Bernhard Hube
- Friedrich Schiller Universität, Jena, Germany
- Institute of Microbiology, Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knoell Institute, Jena, Germany
| | - Konrad Aden
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Iliyan D Iliev
- The Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Microbiology and Immunology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Alexander Scheffold
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany
- Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Petra Bacher
- Institute of Immunology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany.
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany.
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Shahid S, Ceglia N, Le Luduec JB, McPherson A, Spitzer B, Kontopoulos T, Bojilova V, Panjwani MK, Roshal M, Shah SP, Abdel-Wahab O, Greenbaum B, Hsu KC. Immune profiling after allogeneic hematopoietic cell transplantation in pediatric acute myeloid leukemia. Blood Adv 2023; 7:5069-5081. [PMID: 37327118 PMCID: PMC10471937 DOI: 10.1182/bloodadvances.2022009468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/08/2023] [Accepted: 05/24/2023] [Indexed: 06/18/2023] Open
Abstract
Although allogeneic hematopoietic cell transplant (allo-HCT) is curative for high-risk pediatric acute myeloid leukemia (AML), disease relapse remains the primary cause of posttransplant mortality. To identify pressures imposed by allo-HCT on AML cells that escape the graft-versus-leukemia effect, we evaluated immune signatures at diagnosis and posttransplant relapse in bone marrow samples from 4 pediatric patients using a multimodal single-cell proteogenomic approach. Downregulation of major histocompatibility complex class II expression was most profound in progenitor-like blasts and accompanied by correlative changes in transcriptional regulation. Dysfunction of activated natural killer cells and CD8+ T-cell subsets at relapse was evidenced by the loss of response to interferon gamma, tumor necrosis factor α signaling via NF-κB, and interleukin-2/STAT5 signaling. Clonotype analysis of posttransplant relapse samples revealed an expansion of dysfunctional T cells and enrichment of T-regulatory and T-helper cells. Using novel computational methods, our results illustrate a diverse immune-related transcriptional signature in posttransplant relapses not previously reported in pediatric AML.
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Affiliation(s)
- Sanam Shahid
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nicholas Ceglia
- Memorial Hospital Research, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jean-Benoît Le Luduec
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew McPherson
- Department of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Barbara Spitzer
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Theodota Kontopoulos
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Viktoria Bojilova
- Memorial Hospital Research, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M. Kazim Panjwani
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sohrab P. Shah
- Department of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Omar Abdel-Wahab
- Department of Medicine, New York Presbyterian Hospital Weill Cornell Medical Center, New York, NY
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Benjamin Greenbaum
- Department of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Katharine C. Hsu
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, New York Presbyterian Hospital Weill Cornell Medical Center, New York, NY
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
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43
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Fallet B, Foglierini M, Porret R, Alcaraz-Serna A, Sauvage C, Jenelten R, Caplanusi T, Gilliet M, Perez L, Fenwick C, Genolet R, Harari A, Bobisse S, Gottardo R, Pantaleo G, Muller YD. Intradermal skin test with mRNA vaccines as a surrogate marker of T cell immunity in immunocompromised patients. J Infect 2023; 87:111-119. [PMID: 37321353 PMCID: PMC10264165 DOI: 10.1016/j.jinf.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 06/04/2023] [Accepted: 06/06/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVES Intradermal skin test (IDT) with mRNA vaccines may represent a simple, reliable, and affordable tool to measure T cell response in immunocompromised patients who failed to mount serological responses following vaccination with mRNA covid-19 vaccines. METHODS We compared anti-SARS-CoV-2 antibodies and cellular responses in vaccinated immunocompromised patients (n = 58), healthy seronegative naive controls (NC, n = 8), and healthy seropositive vaccinated controls (VC, n = 32) by Luminex, spike-induced IFN-γ Elispot and an IDT. A skin biopsy 24 h after IDT and single-cell RNAseq was performed in three vaccinated volunteers. RESULTS Twenty-five percent of seronegative NC had a positive Elispot (2/8) and IDT (1/4), compared to 95% (20/21) and 93% (28/30) in seropositive VC, respectively. Single-cell RNAseq data in the skin of VC showed a predominant mixed population of effector helper and cytotoxic T cells. The TCR repertoire revealed 18/1064 clonotypes with known specificities against SARS-CoV-2, among which six were spike-specific. Seronegative immunocompromised patients with positive Elispot and IDT were in 83% (5/6) treated with B cell-depleting reagents, while those with negative IDT were all transplant recipients. CONCLUSIONS Our results indicate that delayed local reaction to IDT reflects vaccine-induced T-cell immunity opening new perspectives to monitor seronegative patients and elderly populations with waning immunity.
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Affiliation(s)
- Benedict Fallet
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland
| | - Mathilde Foglierini
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland; Biomedical Data Science Center, University Hospital of Lausanne, Switzerland
| | - Raphael Porret
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland
| | - Ana Alcaraz-Serna
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland
| | - Christophe Sauvage
- Center for Cell Immunotherapy, Department of Oncology and Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne, Lausanne CH-1066, Switzerland
| | - Raphael Jenelten
- Department of Dermatology and Venereology, University Hospital of Lausanne, Switzerland
| | - Teofila Caplanusi
- Department of Dermatology and Venereology, University Hospital of Lausanne, Switzerland
| | - Michel Gilliet
- Department of Dermatology and Venereology, University Hospital of Lausanne, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Laurent Perez
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Craig Fenwick
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland
| | - Raphael Genolet
- Center for Cell Immunotherapy, Department of Oncology and Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne, Lausanne CH-1066, Switzerland
| | - Alexandre Harari
- Center for Cell Immunotherapy, Department of Oncology and Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne, Lausanne CH-1066, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Sara Bobisse
- Center for Cell Immunotherapy, Department of Oncology and Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne, Lausanne CH-1066, Switzerland
| | - Raphael Gottardo
- Biomedical Data Science Center, University Hospital of Lausanne, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland; Swiss Institute for Bioinformatics, Lausanne, Switzerland
| | - Giuseppe Pantaleo
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Yannick D Muller
- Division of Immunology and Allergy, University Hospital of Lausanne, Switzerland; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland.
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44
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Matsumoto R, Gray J, Rybkina K, Oppenheimer H, Levy L, Friedman LM, Khamaisi M, Meng W, Rosenfeld AM, Guyer RS, Bradley MC, Chen D, Atkinson MA, Brusko TM, Brusko M, Connors TJ, Luning Prak ET, Hershberg U, Sims PA, Hertz T, Farber DL. Induction of bronchus-associated lymphoid tissue is an early life adaptation for promoting human B cell immunity. Nat Immunol 2023; 24:1370-1381. [PMID: 37460638 PMCID: PMC10529876 DOI: 10.1038/s41590-023-01557-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/09/2023] [Indexed: 07/20/2023]
Abstract
Infants and young children are more susceptible to common respiratory pathogens than adults but can fare better against novel pathogens like severe acute respiratory syndrome coronavirus 2. The mechanisms by which infants and young children mount effective immune responses to respiratory pathogens are unknown. Through investigation of lungs and lung-associated lymph nodes from infant and pediatric organ donors aged 0-13 years, we show that bronchus-associated lymphoid tissue (BALT), containing B cell follicles, CD4+ T cells and functionally active germinal centers, develop during infancy. BALT structures are prevalent around lung airways during the first 3 years of life, and their numbers decline through childhood coincident with the accumulation of memory T cells. Single-cell profiling and repertoire analysis reveals that early life lung B cells undergo differentiation, somatic hypermutation and immunoglobulin class switching and exhibit a more activated profile than lymph node B cells. Moreover, B cells in the lung and lung-associated lymph nodes generate biased antibody responses to multiple respiratory pathogens compared to circulating antibodies, which are mostly specific for vaccine antigens in the early years of life. Together, our findings provide evidence for BALT as an early life adaptation for mobilizing localized immune protection to the diverse respiratory challenges during this formative life stage.
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Affiliation(s)
- Rei Matsumoto
- Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA
| | - Joshua Gray
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ksenia Rybkina
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hanna Oppenheimer
- Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
- The National Institute for Biotechnology in the Negev, Ben-Gurion University of Negev, Be'er-Sheva, Israel
| | - Lior Levy
- Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
- The National Institute for Biotechnology in the Negev, Ben-Gurion University of Negev, Be'er-Sheva, Israel
| | - Lilach M Friedman
- Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
- The National Institute for Biotechnology in the Negev, Ben-Gurion University of Negev, Be'er-Sheva, Israel
| | | | - Wenzhao Meng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Aaron M Rosenfeld
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca S Guyer
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Marissa C Bradley
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Chen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Mark A Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Todd M Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Maigan Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Thomas J Connors
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Uri Hershberg
- Department of Human Biology, University of Haifa, Haifa, Israel
| | - Peter A Sims
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, New York, NY, USA
| | - Tomer Hertz
- Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
- The National Institute for Biotechnology in the Negev, Ben-Gurion University of Negev, Be'er-Sheva, Israel
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Donna L Farber
- Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA.
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45
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Heumos L, Schaar AC, Lance C, Litinetskaya A, Drost F, Zappia L, Lücken MD, Strobl DC, Henao J, Curion F, Schiller HB, Theis FJ. Best practices for single-cell analysis across modalities. Nat Rev Genet 2023; 24:550-572. [PMID: 37002403 PMCID: PMC10066026 DOI: 10.1038/s41576-023-00586-w] [Citation(s) in RCA: 179] [Impact Index Per Article: 179.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2023] [Indexed: 04/03/2023]
Abstract
Recent advances in single-cell technologies have enabled high-throughput molecular profiling of cells across modalities and locations. Single-cell transcriptomics data can now be complemented by chromatin accessibility, surface protein expression, adaptive immune receptor repertoire profiling and spatial information. The increasing availability of single-cell data across modalities has motivated the development of novel computational methods to help analysts derive biological insights. As the field grows, it becomes increasingly difficult to navigate the vast landscape of tools and analysis steps. Here, we summarize independent benchmarking studies of unimodal and multimodal single-cell analysis across modalities to suggest comprehensive best-practice workflows for the most common analysis steps. Where independent benchmarks are not available, we review and contrast popular methods. Our article serves as an entry point for novices in the field of single-cell (multi-)omic analysis and guides advanced users to the most recent best practices.
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Affiliation(s)
- Lukas Heumos
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center, Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Anna C Schaar
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Munich Center for Machine Learning, Technical University of Munich, Garching, Germany
| | - Christopher Lance
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Department of Paediatrics, Dr von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anastasia Litinetskaya
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Felix Drost
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Luke Zappia
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Malte D Lücken
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Institute of Lung Health and Immunity, Helmholtz Munich, Munich, Germany
| | - Daniel C Strobl
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Juan Henao
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
| | - Fabiola Curion
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Herbert B Schiller
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center, Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Department of Computational Health, Helmholtz Munich, Munich, Germany.
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
- Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
- Munich Center for Machine Learning, Technical University of Munich, Garching, Germany.
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46
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Jarosch S, Köhlen J, Ghimire S, Orberg ET, Hammel M, Gaag D, Evert M, Janssen KP, Hiergeist A, Gessner A, Weber D, Meedt E, Poeck H, D'Ippolito E, Holler E, Busch DH. Multimodal immune cell phenotyping in GI biopsies reveals microbiome-related T cell modulations in human GvHD. Cell Rep Med 2023; 4:101125. [PMID: 37467715 PMCID: PMC10394271 DOI: 10.1016/j.xcrm.2023.101125] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/13/2023] [Accepted: 06/22/2023] [Indexed: 07/21/2023]
Abstract
Acute graft-versus-host disease (aGvHD) is a significant complication after allogeneic hematopoietic stem cell transplantation (aHSCT), but major factors determining disease severity are not well defined yet. By combining multiplexed tissue imaging and single-cell RNA sequencing on gastrointestinal biopsies from aHSCT-treated individuals with fecal microbiome analysis, we link high microbiome diversity and the abundance of short-chain fatty acid-producing bacteria to the sustenance of suppressive regulatory T cells (Tregs). Furthermore, aGvHD severity strongly associates with the clonal expansion of mainly CD8 T cells, which we find distributed over anatomically distant regions of the gut, persistent over time, and inversely correlated with the presence of suppressive Tregs. Overall, our study highlights the pathophysiological importance of expanded CD8 T cell clones in the progression of aGvHD toward more severe clinical manifestations and strongly supports the further development of microbiome interventions as GvHD treatment via repopulation of the gut Treg niche to suppress inflammation.
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Affiliation(s)
- Sebastian Jarosch
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich (TUM), 81675 Munich, Germany; Boehringer Ingelheim Pharma GmbH & Co. KG, Drug Discovery Sciences, 88397 Biberach an der Riß, Germany
| | - Jan Köhlen
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich (TUM), 81675 Munich, Germany
| | - Sakhila Ghimire
- Department of Internal Medicine 3, University Medical Center, 93053 Regensburg, Germany
| | - Erik Thiele Orberg
- Department of Medicine III, Technical University of Munich (TUM), School of Medicine, Klinikum rechts der Isar TUM, 81675 Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Monika Hammel
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich (TUM), 81675 Munich, Germany
| | - Doris Gaag
- Institute for Pathology, University of Regensburg, 93053 Regensburg, Germany
| | - Matthias Evert
- Institute for Pathology, University of Regensburg, 93053 Regensburg, Germany
| | - Klaus-Peter Janssen
- Department of Surgery, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Andreas Hiergeist
- Institute of Clinical Microbiology and Hygiene, University Medical Center, 93053 Regensburg, Germany
| | - André Gessner
- Institute of Clinical Microbiology and Hygiene, University Medical Center, 93053 Regensburg, Germany
| | - Daniela Weber
- Department of Internal Medicine 3, University Medical Center, 93053 Regensburg, Germany
| | - Elisabeth Meedt
- Department of Internal Medicine 3, University Medical Center, 93053 Regensburg, Germany
| | - Hendrik Poeck
- Department of Internal Medicine 3, University Medical Center, 93053 Regensburg, Germany; Leibniz Institute for Immuntherapie (LIT), Regensburg, Germany
| | - Elvira D'Ippolito
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich (TUM), 81675 Munich, Germany
| | - Ernst Holler
- Department of Internal Medicine 3, University Medical Center, 93053 Regensburg, Germany.
| | - Dirk H Busch
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich (TUM), 81675 Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany.
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47
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Vanni A, Mazzoni A, Semeraro R, Capone M, Maschmeyer P, Lamacchia G, Salvati L, Carnasciali A, Farahvachi P, Giani T, Simonini G, Filocamo G, Romano M, Liotta F, Mashreghi MF, Cosmi L, Cimaz R, Magi A, Maggi L, Annunziato F. Clonally expanded PD-1-expressing T cells are enriched in synovial fluid of juvenile idiopathic arthritis patients. Eur J Immunol 2023; 53:e2250162. [PMID: 37086046 DOI: 10.1002/eji.202250162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 03/23/2023] [Accepted: 04/17/2023] [Indexed: 04/23/2023]
Abstract
Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic condition in childhood. The disease etiology remains largely unknown; however, a key role in JIA pathogenesis is surely mediated by T cells. T-lymphocytes activity is controlled via signals, known as immune checkpoints. Delivering an inhibitory signal or blocking a stimulatory signal to achieve immune suppression is critical in autoimmune diseases. However, the role of immune checkpoints in chronic inflammation and autoimmunity must still be deciphered. In this study, we investigated at the single-cell level the feature of T cells in JIA chronic inflammation, both at the transcriptome level via single-cell RNA sequencing and at the protein level by flow cytometry. We found that despite the heterogeneity in the composition of synovial CD4+ and CD8+ T cells, those characterized by PD-1 expression were clonally expanded tissue-resident memory (Trm)-like cells and displayed the highest proinflammatory capacity, suggesting their active contribution in sustaining chronic inflammation in situ. Our data support the concept that novel therapeutic strategies targeting PD-1 may be effective in the treatment of JIA. With this approach, it may become possible to target overactive T cells regardless of their cytokine production profile.
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Affiliation(s)
- Anna Vanni
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Alessio Mazzoni
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
- Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Tuscany, Italy
| | - Roberto Semeraro
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Manuela Capone
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Patrick Maschmeyer
- Institute of Health (BIH) at Charité, Universitätsmedizin Berlin, Berlin, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Institute for Medical Systems Biology (BIMSB), Berlin, Berlin, Germany
- Department of Hematology, Oncology and Cancer Immunology, Charité-Universitätsmedizin Berlin, Berlin, Berlin, Germany
| | - Giulia Lamacchia
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Lorenzo Salvati
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Alberto Carnasciali
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Parham Farahvachi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | | | | | - Giovanni Filocamo
- Pediatric Rheumatology, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milano IT and University of Milan, Milan, Lombardy, Italy
| | - Micol Romano
- University of Western Ontario, London, Ontario, Canada
| | - Francesco Liotta
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
- Immunology and Cell Therapy Unit, Careggi University Hospital, Florence, Tuscany, Italy
| | - Mir-Farzin Mashreghi
- Deutsches Rheuma-Forschungszentrum (DRFZ), Institute of the Leibniz Association, Berlin, Berlin, Germany
| | - Lorenzo Cosmi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
- Immunoallergology Unit, Careggi University Hospital, Florence, Tuscany, Italy
| | - Rolando Cimaz
- Department of Clinical Sciences and Community Health, Research Center for Adult and Pediatric Rheumatic Diseases, University of Milan, Milan, Lombardy, Italy
| | - Alberto Magi
- Department of Information Engineering, University of Florence, Florence, Tuscany, Italy
| | - Laura Maggi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
| | - Francesco Annunziato
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Tuscany, Italy
- Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Tuscany, Italy
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48
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Shen Y, Voigt A, Leng X, Rodriguez AA, Nguyen CQ. A current and future perspective on T cell receptor repertoire profiling. Front Genet 2023; 14:1159109. [PMID: 37408774 PMCID: PMC10319011 DOI: 10.3389/fgene.2023.1159109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/12/2023] [Indexed: 07/07/2023] Open
Abstract
T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.
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Affiliation(s)
- Yiran Shen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Alexandria Voigt
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Xuebing Leng
- Department of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Amy A. Rodriguez
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Cuong Q. Nguyen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, United States
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville, FL, United States
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Liu N, Jiang C, Yao X, Fang M, Qiao X, Zhu L, Yang Z, Gao X, Ji Y, Niu C, Cheng C, Qu K, Lin J. Single-cell landscape of primary central nervous system diffuse large B-cell lymphoma. Cell Discov 2023; 9:55. [PMID: 37308475 DOI: 10.1038/s41421-023-00559-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/29/2023] [Indexed: 06/14/2023] Open
Abstract
Understanding tumor heterogeneity and immune infiltrates within the tumor-immune microenvironment (TIME) is essential for the innovation of immunotherapies. Here, combining single-cell transcriptomics and chromatin accessibility sequencing, we profile the intratumor heterogeneity of malignant cells and immune properties of the TIME in primary central nervous system diffuse large B-cell lymphoma (PCNS DLBCL) patients. We demonstrate diverse malignant programs related to tumor-promoting pathways, cell cycle and B-cell immune response. By integrating data from independent systemic DLBCL and follicular lymphoma cohorts, we reveal a prosurvival program with aberrantly elevated RNA splicing activity that is uniquely associated with PCNS DLBCL. Moreover, a plasmablast-like program that recurs across PCNS/activated B-cell DLBCL predicts a worse prognosis. In addition, clonally expanded CD8 T cells in PCNS DLBCL undergo a transition from a pre-exhaustion-like state to exhaustion, and exhibit higher exhaustion signature scores than systemic DLBCL. Thus, our study sheds light on potential reasons for the poor prognosis of PCNS DLBCL patients, which will facilitate the development of targeted therapy.
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Affiliation(s)
- Nianping Liu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chen Jiang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China
| | - Xinfeng Yao
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Minghao Fang
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaolong Qiao
- Anhui University of Science and Technology, Huainan, Anhui, China
| | - Lin Zhu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Zongcheng Yang
- Department of Stomatology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Xuyuan Gao
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Ying Ji
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chaoshi Niu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chuandong Cheng
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
| | - Kun Qu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, Hefei, Anhui, China.
| | - Jun Lin
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, Hefei, Anhui, China.
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50
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Rojas LA, Sethna Z, Soares KC, Olcese C, Pang N, Patterson E, Lihm J, Ceglia N, Guasp P, Chu A, Yu R, Chandra AK, Waters T, Ruan J, Amisaki M, Zebboudj A, Odgerel Z, Payne G, Derhovanessian E, Müller F, Rhee I, Yadav M, Dobrin A, Sadelain M, Łuksza M, Cohen N, Tang L, Basturk O, Gönen M, Katz S, Do RK, Epstein AS, Momtaz P, Park W, Sugarman R, Varghese AM, Won E, Desai A, Wei AC, D'Angelica MI, Kingham TP, Mellman I, Merghoub T, Wolchok JD, Sahin U, Türeci Ö, Greenbaum BD, Jarnagin WR, Drebin J, O'Reilly EM, Balachandran VP. Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. Nature 2023; 618:144-150. [PMID: 37165196 PMCID: PMC10171177 DOI: 10.1038/s41586-023-06063-y] [Citation(s) in RCA: 335] [Impact Index Per Article: 335.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/06/2023] [Indexed: 05/12/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is lethal in 88% of patients1, yet harbours mutation-derived T cell neoantigens that are suitable for vaccines 2,3. Here in a phase I trial of adjuvant autogene cevumeran, an individualized neoantigen vaccine based on uridine mRNA-lipoplex nanoparticles, we synthesized mRNA neoantigen vaccines in real time from surgically resected PDAC tumours. After surgery, we sequentially administered atezolizumab (an anti-PD-L1 immunotherapy), autogene cevumeran (a maximum of 20 neoantigens per patient) and a modified version of a four-drug chemotherapy regimen (mFOLFIRINOX, comprising folinic acid, fluorouracil, irinotecan and oxaliplatin). The end points included vaccine-induced neoantigen-specific T cells by high-threshold assays, 18-month recurrence-free survival and oncologic feasibility. We treated 16 patients with atezolizumab and autogene cevumeran, then 15 patients with mFOLFIRINOX. Autogene cevumeran was administered within 3 days of benchmarked times, was tolerable and induced de novo high-magnitude neoantigen-specific T cells in 8 out of 16 patients, with half targeting more than one vaccine neoantigen. Using a new mathematical strategy to track T cell clones (CloneTrack) and functional assays, we found that vaccine-expanded T cells comprised up to 10% of all blood T cells, re-expanded with a vaccine booster and included long-lived polyfunctional neoantigen-specific effector CD8+ T cells. At 18-month median follow-up, patients with vaccine-expanded T cells (responders) had a longer median recurrence-free survival (not reached) compared with patients without vaccine-expanded T cells (non-responders; 13.4 months, P = 0.003). Differences in the immune fitness of the patients did not confound this correlation, as responders and non-responders mounted equivalent immunity to a concurrent unrelated mRNA vaccine against SARS-CoV-2. Thus, adjuvant atezolizumab, autogene cevumeran and mFOLFIRINOX induces substantial T cell activity that may correlate with delayed PDAC recurrence.
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Affiliation(s)
- Luis A Rojas
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zachary Sethna
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevin C Soares
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cristina Olcese
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nan Pang
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erin Patterson
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jayon Lihm
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicholas Ceglia
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pablo Guasp
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexander Chu
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca Yu
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Adrienne Kaya Chandra
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Theresa Waters
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jennifer Ruan
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Masataka Amisaki
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Abderezak Zebboudj
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zagaa Odgerel
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - George Payne
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Ina Rhee
- Genentech, San Francisco, CA, USA
| | | | - Anton Dobrin
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michel Sadelain
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marta Łuksza
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noah Cohen
- Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Tang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Olca Basturk
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mithat Gönen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Seth Katz
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard Kinh Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew S Epstein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Parisa Momtaz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wungki Park
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryan Sugarman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna M Varghese
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elizabeth Won
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Avni Desai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alice C Wei
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael I D'Angelica
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - T Peter Kingham
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Taha Merghoub
- Meyer Cancer Center, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Jedd D Wolchok
- Meyer Cancer Center, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | | | - Özlem Türeci
- BioNTech, Mainz, Germany
- HI-TRON, Helmholtz Institute for Translational Oncology, Mainz, Germany
| | - Benjamin D Greenbaum
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA.
| | - William R Jarnagin
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeffrey Drebin
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eileen M O'Reilly
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vinod P Balachandran
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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