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Szymura SJ, Wang L, Zhang T, Cha SC, Song J, Dong Z, Anderson A, Oh E, Lee V, Wang Z, Parshottam S, Rao S, Olsem JB, Crumpton BN, Lee HC, Manasanch EE, Neelapu S, Kwak LW, Thomas SK. Personalized neoantigen vaccines as early intervention in untreated patients with lymphoplasmacytic lymphoma: a non-randomized phase 1 trial. Nat Commun 2024; 15:6874. [PMID: 39128904 PMCID: PMC11317512 DOI: 10.1038/s41467-024-50880-2] [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: 09/08/2023] [Accepted: 07/22/2024] [Indexed: 08/13/2024] Open
Abstract
Lymphoplasmacytic lymphoma (LPL) is an incurable low-grade lymphoma with no standard therapy. Nine asymptomatic patients treated with a first-in-human, neoantigen DNA vaccine experienced no dose limiting toxicities (primary endpoint, NCT01209871). All patients achieve stable disease or better, with one minor response, and median time to progression of 72+ months. Post-vaccine single-cell transcriptomics reveal dichotomous antitumor responses, with reduced tumor B-cells (tracked by unique B cell receptor) and their survival pathways, but no change in clonal plasma cells. Downregulation of human leukocyte antigen (HLA) class II molecules and paradoxical upregulation of insulin-like growth factor (IGF) by the latter suggest resistance mechanisms. Vaccine therapy activates and expands bone marrow T-cell clonotypes, and functional neoantigen-specific responses (secondary endpoint), but not co-inhibitory pathways or Treg, and reduces protumoral signaling by myeloid cells, suggesting favorable perturbation of the tumor immune microenvironment. Future strategies may require combinations of vaccines with agents targeting plasma cell subpopulations, or blockade of IGF-1 signaling or myeloid cell checkpoints.
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Affiliation(s)
- Szymon J Szymura
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Lin Wang
- Department of Computational and Quantitative Medicine, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Tiantian Zhang
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Soung-Chul Cha
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Joo Song
- Division of Hematopathology, Department of Pathology, City of Hope, Duarte, CA, USA
| | - Zhenyuan Dong
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Aaron Anderson
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Elizabeth Oh
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Vincent Lee
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Zhe Wang
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA
| | - Sapna Parshottam
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Sheetal Rao
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jasper B Olsem
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Brandon N Crumpton
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Hans C Lee
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Elisabet E Manasanch
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Sattva Neelapu
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Larry W Kwak
- Stephenson Lymphoma Center, Beckman Research Institute and Hematologic Malignancies Research Institute, City of Hope, Duarte, CA, USA.
| | - Sheeba K Thomas
- Department of Lymphoma and Myeloma, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
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2
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Yeh AC, Koyama M, Waltner OG, Minnie SA, Boiko JR, Shabaneh TB, Takahashi S, Zhang P, Ensbey KS, Schmidt CR, Legg SRW, Sekiguchi T, Nelson E, Bhise SS, Stevens AR, Goodpaster T, Chakka S, Furlan SN, Markey KA, Bleakley ME, Elson CO, Bradley PH, Hill GR. Microbiota dictate T cell clonal selection to augment graft-versus-host disease after stem cell transplantation. Immunity 2024; 57:1648-1664.e9. [PMID: 38876098 PMCID: PMC11236519 DOI: 10.1016/j.immuni.2024.05.018] [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: 06/26/2023] [Revised: 02/09/2024] [Accepted: 05/20/2024] [Indexed: 06/16/2024]
Abstract
Allogeneic T cell expansion is the primary determinant of graft-versus-host disease (GVHD), and current dogma dictates that this is driven by histocompatibility antigen disparities between donor and recipient. This paradigm represents a closed genetic system within which donor T cells interact with peptide-major histocompatibility complexes (MHCs), though clonal interrogation remains challenging due to the sparseness of the T cell repertoire. We developed a Bayesian model using donor and recipient T cell receptor (TCR) frequencies in murine stem cell transplant systems to define limited common expansion of T cell clones across genetically identical donor-recipient pairs. A subset of donor CD4+ T cell clonotypes differentially expanded in identical recipients and were microbiota dependent. Microbiota-specific T cells augmented GVHD lethality and could target microbial antigens presented by gastrointestinal epithelium during an alloreactive response. The microbiota serves as a source of cognate antigens that contribute to clonotypic T cell expansion and the induction of GVHD independent of donor-recipient genetics.
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MESH Headings
- Graft vs Host Disease/immunology
- Graft vs Host Disease/microbiology
- Animals
- Mice
- Mice, Inbred C57BL
- CD4-Positive T-Lymphocytes/immunology
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
- Microbiota/immunology
- Clonal Selection, Antigen-Mediated
- Transplantation, Homologous
- Bayes Theorem
- Stem Cell Transplantation/adverse effects
- Mice, Inbred BALB C
- Gastrointestinal Microbiome/immunology
- Hematopoietic Stem Cell Transplantation/adverse effects
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Affiliation(s)
- Albert C Yeh
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
| | - Motoko Koyama
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Olivia G Waltner
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Simone A Minnie
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Julie R Boiko
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Tamer B Shabaneh
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Shuichiro Takahashi
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ping Zhang
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Kathleen S Ensbey
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Christine R Schmidt
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Samuel R W Legg
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Tomoko Sekiguchi
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ethan Nelson
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Shruti S Bhise
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Andrew R Stevens
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Tracy Goodpaster
- Experimental Histopathology Core, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Saranya Chakka
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Scott N Furlan
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Kate A Markey
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marie E Bleakley
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Division of Hematology, Oncology, and Bone Marrow Transplantation, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Charles O Elson
- Department of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Philip H Bradley
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - Geoffrey R Hill
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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3
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Goldner Kabeli R, Zevin S, Abargel A, Zilberberg A, Efroni S. Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership. SCIENCE ADVANCES 2024; 10:eadk4670. [PMID: 38669334 DOI: 10.1126/sciadv.adk4670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
The T cell receptor (TCR) repertoire is an extraordinarily diverse collection of TCRs essential for maintaining the body's homeostasis and response to threats. In this study, we compiled an extensive dataset of more than 4200 bulk TCR repertoire samples, encompassing 221,176,713 sequences, alongside 6,159,652 single-cell TCR sequences from over 400 samples. From this dataset, we then selected a representative subset of 5 million bulk sequences and 4.2 million single-cell sequences to train two specialized Transformer-based language models for bulk (CVC) and single-cell (scCVC) TCR repertoires, respectively. We show that these models successfully capture TCR core qualities, such as sharing, gene composition, and single-cell properties. These qualities are emergent in the encoded TCR latent space and enable classification into TCR-based qualities such as public sequences. These models demonstrate the potential of Transformer-based language models in TCR downstream applications.
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Affiliation(s)
- Romi Goldner Kabeli
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Sarit Zevin
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Avital Abargel
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Alona Zilberberg
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Sol Efroni
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
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4
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Heimli M, Tennebø Flåm S, Sagsveen Hjorthaug H, Bjørnstad PM, Chernigovskaya M, Le QK, Tekpli X, Greiff V, Lie BA. Human thymic putative CD8αα precursors exhibit a biased TCR repertoire in single cell AIRR-seq. Sci Rep 2023; 13:17714. [PMID: 37853083 PMCID: PMC10584817 DOI: 10.1038/s41598-023-44693-4] [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: 03/30/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023] Open
Abstract
Thymic T cell development comprises T cell receptor (TCR) recombination and assessment of TCR avidity towards self-peptide-MHC complexes presented by antigen-presenting cells. Self-reactivity may lead to negative selection, or to agonist selection and differentiation into unconventional lineages such as regulatory T cells and CD8[Formula: see text] T cells. To explore the effect of the adaptive immune receptor repertoire on thymocyte developmental decisions, we performed single cell adaptive immune receptor repertoire sequencing (scAIRR-seq) of thymocytes from human young paediatric thymi and blood. Thymic PDCD1+ cells, a putative CD8[Formula: see text] T cell precursor population, exhibited several TCR features previously associated with thymic and peripheral ZNF683+ CD8[Formula: see text] T cells, including enrichment of large and positively charged complementarity-determining region 3 (CDR3) amino acids. Thus, the TCR repertoire may partially explain the decision between conventional vs. agonist selected thymocyte differentiation, an aspect of importance for the development of therapies for patients with immune-mediated diseases.
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Affiliation(s)
- Marte Heimli
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Siri Tennebø Flåm
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Hanne Sagsveen Hjorthaug
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Pål Marius Bjørnstad
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Maria Chernigovskaya
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Quy Khang Le
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Xavier Tekpli
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Victor Greiff
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Benedicte Alexandra Lie
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway.
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5
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Smirnova AO, Miroshnichenkova AM, Belyaeva LD, Kelmanson IV, Lebedev YB, Mamedov IZ, Chudakov DM, Komkov AY. Novel bimodal TRBD1-TRBD2 rearrangements with dual or absent D-region contribute to TRB V-(D)-J combinatorial diversity. Front Immunol 2023; 14:1245175. [PMID: 37744336 PMCID: PMC10513440 DOI: 10.3389/fimmu.2023.1245175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
T-cell receptor (TR) diversity of the variable domains is generated by recombination of both the alpha (TRA) and beta (TRB) chains. The textbook process of TRB chain production starts with TRBD and TRBJ gene rearrangement, followed by the rearrangement of a TRBV gene to the partially rearranged D-J gene. Unsuccessful V-D-J TRB rearrangements lead to apoptosis of the cell. Here, we performed deep sequencing of the poorly explored pool of partial TRBD1-TRBD2 rearrangements in T-cell genomic DNA. We reconstructed full repertoires of human partial TRBD1-TRBD2 rearrangements using novel sequencing and validated them by detecting V-D-J recombination-specific byproducts: excision circles containing the recombination signal (RS) joint 5'D2-RS - 3'D1-RS. Identified rearrangements were in compliance with the classical 12/23 rule, common for humans, rats, and mice and contained typical V-D-J recombination footprints. Interestingly, we detected a bimodal distribution of D-D junctions indicating two active recombination sites producing long and short D-D rearrangements. Long TRB D-D rearrangements with two D-regions are coding joints D1-D2 remaining classically on the chromosome. The short TRB D-D rearrangements with no D-region are signal joints, the coding joint D1-D2 being excised from the chromosome. They both contribute to the TRB V-(D)-J combinatorial diversity. Indeed, short D-D rearrangements may be followed by direct V-J2 recombination. Long D-D rearrangements may recombine further with J2 and V genes forming partial D1-D2-J2 and then complete V-D1-D2-J2 rearrangement. Productive TRB V-D1-D2-J2 chains are present and expressed in thousands of clones of human antigen-experienced memory T cells proving their capacity for antigen recognition and actual participation in the immune response.
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Affiliation(s)
- Anastasia O. Smirnova
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | | | - Laima D. Belyaeva
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Ilya V. Kelmanson
- Department of Biomolecular Sciences and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Yuri B. Lebedev
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Department of Molecular Technologies, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ilgar Z. Mamedov
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Dmitriy M. Chudakov
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Abu Dhabi Stem Cells Center (ADSCC), Abu Dhabi, United Arab Emirates
- Department of Molecular Technologies, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Alexander Y. Komkov
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Abu Dhabi Stem Cells Center (ADSCC), Abu Dhabi, United Arab Emirates
- Dmitry Rogachev National Medical and Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
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6
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Aran A, Lázaro G, Marco V, Molina E, Abancó F, Peg V, Gión M, Garrigós L, Pérez-García J, Cortés J, Martí M. Analysis of tumor infiltrating CD4+ and CD8+ CDR3 sequences reveals shared features putatively associated to the anti-tumor immune response. Front Immunol 2023; 14:1227766. [PMID: 37600765 PMCID: PMC10436466 DOI: 10.3389/fimmu.2023.1227766] [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: 05/23/2023] [Accepted: 07/20/2023] [Indexed: 08/22/2023] Open
Abstract
Introduction Tumor-infiltrating lymphocytes (TILs) have predictive and prognostic value in breast cancer (BC) and exert a protective function against tumor growth, indicating that it is susceptible to treatment using adoptive cell transfer of TILs or T cell receptor (TCR)-based therapies. TCR can be used to identify naturally tumor-reactive T cells, but little is known about the differences in the TCR repertoires of CD4+ and CD8+ TILs. Methods TCR high-throughput sequencing was performed using TILs derived from the initial cultures of 11 BC biopsies and expanded and sorted CD4+ and CD8+ TILs as well as using PBMCs from healthy donors expanded and sorted using the same methodology. Results Physicochemical TCR differences between T cell subsets were observed, as CD4+ TILs presented larger N(D)Nnt TRB sequences and with a higher usage of positively charged residues, although only the latest was also observed in peripheral T cells from healthy individuals. Moreover, in CD4+ TILs, a more restricted TCR repertoire with a higher abundance of similar sequences containing certain amino acid motifs was observed. Discussion Some differences between CD4+ and CD8+ TCRs were intrinsic to T cell subsets as can also be observed in peripheral T cells from healthy individuals, while other were only found in TILs samples and therefore may be tumor-driven. Notably, the higher similarity among CD4+ TCRs suggests a higher TCR promiscuity in this subset.
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Affiliation(s)
- Andrea Aran
- Immunology Unit, Department of Cell Biology, Physiology, and Immunology, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Gonzalo Lázaro
- Immunology Unit, Department of Cell Biology, Physiology, and Immunology, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Vicente Marco
- Pathology, Hospital Quironsalud Barcelona, Barcelona, Spain
| | - Elisa Molina
- Immunology Unit, Department of Cell Biology, Physiology, and Immunology, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Ferran Abancó
- Immunology Unit, Department of Cell Biology, Physiology, and Immunology, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Vicente Peg
- Pathology Department, Vall d’Hebron University Hospital, Barcelona, Spain
- Department of Morphological Sciences, Universidad Autónoma de Barcelona, Bellaterra, Spain
- Spanish Biomedical Research Network Centre in Oncology (CIBERONC), Madrid, Spain
| | - María Gión
- Medical Oncology Department, Ramón y Cajal University Hospital, Madrid, Spain
| | - Laia Garrigós
- International Breast Cancer Center (IBCC), Pangaea Oncology, Quironsalud Group, Barcelona, Spain
| | - José Pérez-García
- International Breast Cancer Center (IBCC), Pangaea Oncology, Quironsalud Group, Barcelona, Spain
- Medical Scientia Innovation Research (MedSIR), Barcelona, Spain
| | - Javier Cortés
- International Breast Cancer Center (IBCC), Pangaea Oncology, Quironsalud Group, Barcelona, Spain
- Medical Scientia Innovation Research (MedSIR), Barcelona, Spain
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid, Spain
| | - Mercè Martí
- Immunology Unit, Department of Cell Biology, Physiology, and Immunology, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
- Biosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
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7
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Tereshchenko V, Shevyrev D, Fisher M, Bulygin A, Khantakova J, Sennikov S. TCR Sequencing in Mouse Models of Allorecognition Unveils the Features of Directly and Indirectly Activated Clonotypes. Int J Mol Sci 2023; 24:12075. [PMID: 37569450 PMCID: PMC10418307 DOI: 10.3390/ijms241512075] [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: 05/18/2023] [Revised: 07/26/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Allorecognition is known to involve a large number of lymphocytes carrying diverse T-cell receptor repertoire. Thus, one way to understand allorecognition and rejection mechanisms is via high-throughput sequencing of T-cell receptors. In this study, in order to explore and systematize the properties of the alloreactive T-cell receptor repertoire, we modeled direct and indirect allorecognition pathways using material from inbred mice in vitro and in vivo. Decoding of the obtained T-cell receptor genes using high-throughput sequencing revealed some features of the alloreactive repertoires. Thus, alloreactive T-cell receptor repertoires were characterized by specific V-gene usage patterns, changes in CDR3 loop length, and some amino acid occurrence probabilities in the CDR3 loop. Particularly pronounced changes were observed for directly alloreactive clonotypes. We also revealed a clustering of directly and indirectly alloreactive clonotypes by their ability to bind a single antigen; amino acid patterns of the CDR3 loop of alloreactive clonotypes; and the presence in alloreactive repertoires of clonotypes also associated with infectious, autoimmune, and tumor diseases. The obtained results were determined by the modeling of the simplified allorecognition reaction in inbred mice in which stimulation was performed with a single MHCII molecule. We suppose that the decomposition of the diverse alloreactive TCR repertoire observed in humans with transplants into such simple reactions will help to find alloreactive repertoire features; e.g., a dominant clonotype or V-gene usage pattern, which may be targeted to correct the entire rejection reaction in patients. In this work, we propose several technical ways for such decomposition analysis, including separate modeling of the indirect alloreaction pathway and clustering of alloreactive clonotypes according to their ability to bind a single antigen, among others.
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Affiliation(s)
- Valeriy Tereshchenko
- Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
- Resource Center for Cellular Technologies and Immunology, Sirius University of Science and Technology, 354340 Sochi, Russia
| | - Daniil Shevyrev
- Resource Center for Cellular Technologies and Immunology, Sirius University of Science and Technology, 354340 Sochi, Russia
| | - Marina Fisher
- Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
| | - Aleksei Bulygin
- Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
| | - Julia Khantakova
- Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
| | - Sergey Sennikov
- Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
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8
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Kandasamy K, Johana NB, Tan LG, Tan Y, Yeo JSL, Yusof NNB, Li Z, Koh J, Ginhoux F, Chan JKY, Choolani M, Mattar CNZ. Maternal dendritic cells influence fetal allograft response following murine in-utero hematopoietic stem cell transplantation. Stem Cell Res Ther 2023; 14:136. [PMID: 37226255 DOI: 10.1186/s13287-023-03366-9] [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: 12/29/2022] [Accepted: 05/05/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Intrauterine hematopoietic stem cell transplantation (IUT), potentially curative in congenital haematological disease, is often inhibited by deleterious immune responses to donor cells resulting in subtherapeutic donor cell chimerism (DCC). Microchimerism of maternal immune cells (MMc) trafficked into transplanted recipients across the placenta may directly influence donor-specific alloresponsiveness, limiting DCC. We hypothesized that dendritic cells (DC) among trafficked MMc influence the development of tolerogenic or immunogenic responses towards donor cells, and investigated if maternal DC-depletion reduced recipient alloresponsiveness and enhanced DCC. METHODS Using transgenic CD11c.DTR (C57BL/6) female mice enabled transient maternal DC-depletion with a single dose of diphtheria toxin (DT). CD11c.DTR females and BALB/c males were cross-mated, producing hybrid pups. IUT was performed at E14 following maternal DT administration 24 h prior. Bone marrow-derived mononuclear cells were transplanted, obtained from semi-allogenic BALB/c (paternal-derived; pIUT), C57BL/6 (maternal-derived; mIUT), or fully allogenic (aIUT) C3H donor mice. Recipient F1 pups were analyzed for DCC, while maternal and IUT-recipient immune cell profile and reactivity were examined via mixed lymphocyte reactivity functional assays. T- and B-cell receptor repertoire diversity in maternal and recipient cells were examined following donor cell exposure. RESULTS DCC was highest and MMc was lowest following pIUT. In contrast, aIUT recipients had the lowest DCC and the highest MMc. In groups that were not DC-depleted, maternal cells trafficked post-IUT displayed reduced TCR & BCR clonotype diversity, while clonotype diversity was restored when dams were DC-depleted. Additionally, recipients displayed increased expression of regulatory T-cells and immune-inhibitory proteins, with reduced proinflammatory cytokine and donor-specific antibody production. DC-depletion did not impact initial donor chimerism. Postnatal transplantation without immunosuppression of paternal donor cells did not increase DCC in pIUT recipients; however there were no donor-specific antibody production or immune cell changes. CONCLUSIONS Though maternal DC depletion did not improve DCC, we show for the first time that MMc influences donor-specific alloresponsiveness, possibly by expanding alloreactive clonotypes, and depleting maternal DC promotes and maintains acquired tolerance to donor cells independent of DCC, presenting a novel approach to enhancing donor cell tolerance following IUT. This may have value when planning repeat HSC transplantations to treat haemoglobinopathies.
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Affiliation(s)
- Karthikeyan Kandasamy
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
| | | | - Lay Geok Tan
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
- Department of Obstetrics and Gynaecology, National University Health System, National University Hospital, Singapore, Singapore
| | - Yvonne Tan
- Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Julie Su Li Yeo
- Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Nur Nazneen Binte Yusof
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
| | - Zhihui Li
- Genome Research Informatics and Data Science Platform, Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Jiayu Koh
- Genome Research Informatics and Data Science Platform, Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Translational Immunology Institute, Singhealth/Duke-NUS Academic Medical Centre, The Academia, Singapore, Singapore
- Shanghai Institute of Immunology, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Jerry K Y Chan
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
- Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Mahesh Choolani
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
- Department of Obstetrics and Gynaecology, National University Health System, National University Hospital, Singapore, Singapore
| | - Citra N Z Mattar
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
- Department of Obstetrics and Gynaecology, National University Health System, National University Hospital, Singapore, Singapore.
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9
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Wang G, Sui W, Xue W, Zhang J, Yang X, Mo C, Pan X, Ou M, Hou X. Comprehensive analysis of B and T cell receptor repertoire in patients after kidney transplantation by high-throughput sequencing. Clin Immunol 2022; 245:109162. [DOI: 10.1016/j.clim.2022.109162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/08/2022] [Accepted: 10/09/2022] [Indexed: 11/03/2022]
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10
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Hou X, Hong X, Ou M, Meng S, Wang T, Liao S, He J, Yu H, Liu L, Yin L, Liu D, Tang D, Dai Y. Analysis of Gene Expression and TCR/B Cell Receptor Profiling of Immune Cells in Primary Sjögren's Syndrome by Single-Cell Sequencing. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:238-249. [PMID: 35705251 DOI: 10.4049/jimmunol.2100803] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 04/18/2022] [Indexed: 01/07/2023]
Abstract
Primary Sjögren's syndrome (pSS) is a chronic autoimmune disease that is estimated to affect 35 million people worldwide and is characterized by lymphocytic infiltration, elevated circulating autoantibodies, and proinflammatory cytokines. The key immune cell subset changes and the TCR/BCR repertoire alterations in pSS patients remain unclear. In this study, we sought to comprehensively characterize the transcriptional changes in PBMCs of pSS patients by single-cell RNA sequencing and single-cell V(D)J sequencing. Naive CD8+ T cells and mucosal-associated invariant T cells were markedly decreased but regulatory T cells were increased in pSS patients. There were a large number of differentially expressed genes shared by multiple subpopulations of T cells and B cells. Abnormal signaling pathways, including Ag processing and presentation, the BCR signaling pathway, the TCR signaling pathway, and Epstein-Barr virus infection, were highly enriched in pSS patients. Moreover, there were obvious differences in the CD30, FLT3, IFN-II, IL-1, IL-2, IL-6, IL-10, RESISTIN, TGF-β, TNF, and VEGF signaling networks between pSS patients and healthy controls. Single-cell TCR and BCR repertoire analysis showed that there was a lower diversity of T cells in pSS patients than in healthy controls; however, there was no significant difference in the degree of clonal expansion, CDR3 length distribution, or degree of sequence sharing. Notably, our results further emphasize the functional importance of αβ pairing in determining Ag specificity. In conclusion, our analysis provides a comprehensive single-cell map of gene expression and TCR/BCR profiles in pSS patients for a better understanding of the pathogenesis, diagnosis, and treatment of pSS.
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Affiliation(s)
- Xianliang Hou
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China.,The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Xiaoping Hong
- Department of Rheumatology and Immunology, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Minglin Ou
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, China; and
| | - Shuhui Meng
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Tingting Wang
- Department of Rheumatology and Immunology, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Shengyou Liao
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Jingquan He
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Haiyan Yu
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Lixiong Liu
- Department of Rheumatology and Immunology, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Lianghong Yin
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Dongzhou Liu
- Department of Rheumatology and Immunology, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China;
| | - Donge Tang
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China;
| | - Yong Dai
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China;
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11
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Levi R, Louzoun Y. Two Step Selection for Bias in β Chain V-J Pairing. Front Immunol 2022; 13:906217. [PMID: 35911711 PMCID: PMC9330483 DOI: 10.3389/fimmu.2022.906217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
The β chain rearrangement in T cells is a two-step process where first Dβ and Jβ bind, and only then Vβ is joined to the complex. We here show that the frequency of human and mouse Vβ
Jβ combinations deviates from the one expected based on each gene usage frequency. This bias is observed mainly in functional (F) rearrangements, but also slightly in non-functional (NF) rearrangements. Preferred Vβ
Jβ combinations in F clones are shared between donors and samples, suggesting a common structural mechanism for these biases in addition to any host-specific antigen-induced peripheral selection. The sharing holds even in clones with Jβ1 that share the same Dβ1 gene. Vβ
Jβ usage is correlated with the Molecular Weight and Isoelectric Point in F clones. The pairing is also observed in the Double Positive cells in mice thymocytes, suggesting that the selection leading to such a pairing occurs before thymic selection. These results suggest an additional structural checkpoint in the beta chain development prior to thymic selection during the T cell receptor expression. Understanding this structural selection is important for the distinction between normal and aberrant T cell development, and crucial for the design of engineered TCRs.
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12
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Comprehensive analysis of TCR repertoire of COVID-19 patients in different infected stage. Genes Genomics 2022; 44:813-822. [PMID: 35567717 PMCID: PMC9107015 DOI: 10.1007/s13258-022-01261-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 04/20/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The current pandemic of coronavirus disease 2019 (COVID-19), transmitted person-to-person by the severe acute respiratory syndrome of coronavirus 2 (SARS-CoV-2), poses a threat to global public health. OBJECTIVE In this study, we performed the comprehensive analysis of the T cell receptor (TCR) repertoire may contribute to a more in-depth understanding of the pathogenesis of COVID-19. METHODS A comprehensive immunological analysis was performed to explore the features of the TCR repertoire and identified TCR sequences correlated with SARS-CoV-2 viral antigens. RESULTS we analyzed the COVID-19 patients' TCR repertoires in peripheral blood mononuclear cells (PBMC) which obtained before (baseline), during (acute), and after rehabilitation (convalescent) by ImmunoSEQ-technology, and found that repertoire features of TCRβ-chain (TCRβ) complementary-determining region 3 (CDR3) in COVID-19 patients were remarkable difference, including decreased TCR diversity, abnormal CDR3 length, difference of TRBV/J gene usage and higher TCR sequence overlap. Besides, we identified some COVID-19 disease-associated TCRβ clones, and the abundance of them changed with the progression of the disease. Importantly, these disease-associated TCRβ clones could be used to distinguish COVID-19 patients from healthy controls with high accuracy. CONCLUSIONS We provide a clear understanding of the TCR repertoire of COVID-19 patients, which lays the foundation for better diagnosis and treatment of COVID-19 patients.
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13
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Towlerton AMH, Ravishankar S, Coffey DG, Puronen CE, Warren EH. Serial Analysis of the T-Cell Receptor β-Chain Repertoire in People Living With HIV Reveals Incomplete Recovery After Long-Term Antiretroviral Therapy. Front Immunol 2022; 13:879190. [PMID: 35585986 PMCID: PMC9108698 DOI: 10.3389/fimmu.2022.879190] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Long-term antiretroviral therapy (ART) in people living with HIV (PLHIV) is associated with sustained increases in CD4+ T-cell count, but its effect on the peripheral blood T-cell repertoire has not been comprehensively evaluated. In this study, we performed serial profiling of the composition and diversity of the T-cell receptor β-chain (TRB) repertoire in 30 adults with HIV infection before and after the initiation of ART to define its long-term impact on the TRB repertoire. Serially acquired blood samples from 30 adults with HIV infection collected over a mean of 6 years (range, 1-12) years, with 1-4 samples collected before and 2-8 samples collected after the initiation of ART, were available for analysis. TRB repertoires were characterized via high-throughput sequencing of the TRB variable region performed on genomic DNA extracted from unsorted peripheral blood mononuclear cells. Additional laboratory and clinical metadata including serial measurements of HIV viral load and CD4 + T-cell count were available for all individuals in the cohort. A previously published control group of 189 TRB repertoires from peripheral blood samples of adult bone marrow transplant donors was evaluated for comparison. ART initiation in PLHIV was associated with a sustained reduction in viral load and a significant increase in TRB repertoire diversity. However, repertoire diversity in PLHIV remained significantly lower than in the control group even after long-term ART. The composition of TRB repertoires of PLHIV after ART also remained perturbed compared to the control cohort, as evidenced by large persistent private clonal expansions, reduced efficiency in the generation of TRB CDR3 amino acid sequences, and a narrower range of CDR3 lengths. Network analysis revealed an antigen-experienced structure in the TRB repertoire of PLHIV both before and after ART initiation that was quite distinct from the structure of control repertoires, with a slight shift toward a more naïve structure observed after ART initiation. Though we observe significant improvement in TRB repertoire diversity with durable viral suppression in PLHIV on long-term ART, the composition and structure of these repertoires remain significantly perturbed compared to the control cohort of adult bone marrow transplant donors.
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Affiliation(s)
- Andrea M. H. Towlerton
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Shashidhar Ravishankar
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - David G. Coffey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
- Division of Hematology, University of Miami, Miami, FL, United States
| | - Camille E. Puronen
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
| | - Edus H. Warren
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
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14
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Teng YHF, Quah HS, Suteja L, Dias JML, Mupo A, Bashford-Rogers RJM, Vassiliou GS, Chua MLK, Tan DSW, Lim DWT, Iyer NG. Analysis of T cell receptor clonotypes in tumor microenvironment identifies shared cancer-type-specific signatures. Cancer Immunol Immunother 2022; 71:989-998. [PMID: 34580764 PMCID: PMC8476067 DOI: 10.1007/s00262-021-03047-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 08/25/2021] [Indexed: 12/02/2022]
Abstract
Despite the conventional view that a truly random V(D)J recombination process should generate a highly diverse immune repertoire, emerging reports suggest that there is a certain bias toward the generation of shared/public immune receptor chains. These studies were performed in viral diseases where public T cell receptors (TCR) appear to confer better protective responses. Selective pressures generating common TCR clonotypes are currently not well understood, but it is believed that they confer a growth advantage. As very little is known about public TCR clonotypes in cancer, here we set out to determine the extent of shared TCR clonotypes in the intra-tumor microenvironments of virus- and non-virus-driven head and neck cancers using TCR sequencing. We report that tumor-infiltrating T cell clonotypes were indeed shared across individuals with the same cancer type, where the majority of shared sequences were specific to the cancer type (i.e., viral versus non-viral). These shared clonotypes were not particularly enriched in EBV-associated nasopharynx cancer but, in both cancers, exhibited distinct characteristics, namely shorter CDR3 lengths, restricted V- and J-gene usages, and also demonstrated convergent V(D)J recombination. Many of these shared TCRs were expressed in patients with a shared HLA background. Pattern recognition of CDR3 amino acid sequences revealed strong convergence to specific pattern motifs, and these motifs were uniquely found to each cancer type. This suggests that they may be enriched for specificity to common antigens found in the tumor microenvironment of different cancers. The identification of shared TCRs in infiltrating tumor T cells not only adds to our understanding of the tumor-adaptive immune recognition but could also serve as disease-specific biomarkers and guide the development of future immunotherapies.
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Affiliation(s)
- Yvonne H. F. Teng
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Hong Sheng Quah
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lisda Suteja
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - João M. L. Dias
- Hutchison/MRC Research Centre, MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ UK
| | | | | | - George S. Vassiliou
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge, CB2 0AW UK
| | - Melvin L. K. Chua
- Duke-NUS Medical School, Singapore, Singapore
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Daniel S. W. Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Darren W. T. Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Cell Biology, A-STAR, Singapore, Singapore
| | - N. Gopalakrishna Iyer
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, Singapore
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15
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Fu J, Khosravi-Maharlooei M, Sykes M. High Throughput Human T Cell Receptor Sequencing: A New Window Into Repertoire Establishment and Alloreactivity. Front Immunol 2021; 12:777756. [PMID: 34804070 PMCID: PMC8604183 DOI: 10.3389/fimmu.2021.777756] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/20/2021] [Indexed: 12/25/2022] Open
Abstract
Recent advances in high throughput sequencing (HTS) of T cell receptors (TCRs) and in transcriptomic analysis, particularly at the single cell level, have opened the door to a new level of understanding of human immunology and immune-related diseases. In this article, we discuss the use of HTS of TCRs to discern the factors controlling human T cell repertoire development and how this approach can be used in combination with human immune system (HIS) mouse models to understand human repertoire selection in an unprecedented manner. An exceptionally high proportion of human T cells has alloreactive potential, which can best be understood as a consequence of the processes governing thymic selection. High throughput TCR sequencing has allowed assessment of the development, magnitude and nature of the human alloresponse at a new level and has provided a tool for tracking the fate of pre-transplant-defined donor- and host-reactive TCRs following transplantation. New insights into human allograft rejection and tolerance obtained with this method in combination with single cell transcriptional analyses are reviewed here.
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Affiliation(s)
- Jianing Fu
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University, New York, NY, United States
| | - Mohsen Khosravi-Maharlooei
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University, New York, NY, United States
| | - Megan Sykes
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University, New York, NY, United States
- Department of Surgery, Columbia University, New York, NY, United States
- Department of Microbiology & Immunology, Columbia University, New York, NY, United States
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16
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Abbas HA, Reville PK, Jiang X, Yang H, Reuben A, Im JS, Little L, Sinson JC, Chen K, Futreal A, Garcia-Manero G. Response to Hypomethylating Agents in Myelodysplastic Syndrome Is Associated With Emergence of Novel TCR Clonotypes. Front Immunol 2021; 12:659625. [PMID: 33912187 PMCID: PMC8072464 DOI: 10.3389/fimmu.2021.659625] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
Aberrant T-cell function is implicated in the pathogenesis of myelodysplastic syndrome (MDS). Monitoring the T-cell receptor (TCR) repertoire can provide insights into T-cell adaptive immunity. Previous studies found skewed TCR repertoires in MDS compared to healthy patients; however these studies that leverage mRNA-based spectratyping have limitations. Furthermore, evaluating the TCR repertoire in context of hypomethylating agents (HMAs) treatment can provide insights into the dynamics of T-cell mediated responses in MDS. We conducted immunosequencing of the CDR3 regions of TCRβ chains in bone marrows of 11 MDS patients prior to treatment (n=11 bone marrows prior to treatment), and in at least 2 timepoints for each patient following treatment (n=26 bone marrow aspirates post-treatment) with (HMA), alongside analyzing bone marrows from 4 healthy donors as controls. TCR repertoires in MDS patients were more clonal and less diverse than healthy donors. However, unlike previous reports, we did not observe significant skewness in CDR3 length or spectratyping. The global metrics of TCR profiling including richness, clonality, overlaps were not significantly changed in responders or non-responders following treatment with HMAs. However, we found an emergence of novel clonotypes in MDS patients who responded to treatment, while non-responders had a higher frequency of contracted clonotypes following treatment. By applying GLIPH2 for antigen prediction, we found rare TCR specificity clusters shared by TCR clonotypes from different patients at pre- or following treatment. Our data show clear differences in TCR repertoires of MDS compared with healthy patients and that novel TCR clonotype emergence in response to HMA therapy was correlated with response. This suggests that response to HMA therapy may be partially driven by T-cell mediated immunity and that the immune-based therapies, which target the adaptive immune system, may play a significant role in select patients with MDS.
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Affiliation(s)
- Hussein A Abbas
- Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Patrick K Reville
- Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Xianli Jiang
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hui Yang
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Alexandre Reuben
- Department of Thoracic/Head & Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jin Seon Im
- Department of Stem Cell Transplantation and Cellular Therapy, University of Texas MD Anderson Cancer Center, Houston, TX, United States.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jefferson C Sinson
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Andrew Futreal
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Guillermo Garcia-Manero
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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17
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Feng D, Li Z, Qin L, Hao B. The role of chromatin organizer Satb1 in shaping TCR repertoire in adult thymus. Genome 2021; 64:821-832. [PMID: 33617384 DOI: 10.1139/gen-2020-0139] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
T cells recognize the universe of foreign antigens with a diverse repertoire of T cell receptors generated by V(D)J recombination. Special AT-rich binding protein 1 (Satb1) is a chromatin organizer that plays an essential role in T cell development. Previous study has shown that Satb1 regulates the re-induction of recombinase Rag1 and Rag2 in CD4+CD8+ thymocytes, affecting the secondary rearrangement of the Tcra gene. Here, we detected the repertoires of four TCR genes, Tcrd, Tcrg, Tcrb, and Tcra, in the adult thymus, and explored the role of the Satb1 in shaping the TCR repertoires. We observed a strong bias in the V and J gene usages of the Tcrd and Tcrg repertoires in WT and Satb1-deleted thymocytes. Satb1 deletion had few effects on the V(D)J rearrangement and repertoire of the Tcrg, Tcrd, and Tcrb genes. The Tcra repertoire was severely impaired in Satb1-deleted thymocytes, while the primary rearrangement was relatively normal. We also found the CDR3 length of TCRα chain was significantly longer in Satb1-deleted thymocytes, which can be explained by the strong bias of the proximal Jα usage. Our results showed that Satb1 plays an essential role in shaping TCR repertoires in αβ T cells.
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Affiliation(s)
- Delong Feng
- Guangdong Provincial Key Laboratory of Tumor Immunotherapy, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Zhaoqiang Li
- Guangdong Provincial Key Laboratory of Tumor Immunotherapy, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Litao Qin
- Medical Genetic Institute of Henan Province, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, Henan 450003, P.R. China.,National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan 450003, P.R. China
| | - Bingtao Hao
- Guangdong Provincial Key Laboratory of Tumor Immunotherapy, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.,Medical Genetic Institute of Henan Province, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, Henan 450003, P.R. China.,National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan 450003, P.R. China
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18
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Servaas NH, Zaaraoui-Boutahar F, Wichers CGK, Ottria A, Chouri E, Affandi AJ, Silva-Cardoso S, van der Kroef M, Carvalheiro T, van Wijk F, Radstake TRDJ, Andeweg AC, Pandit A. Longitudinal analysis of T-cell receptor repertoires reveals persistence of antigen-driven CD4 + and CD8 + T-cell clusters in systemic sclerosis. J Autoimmun 2020; 117:102574. [PMID: 33307312 DOI: 10.1016/j.jaut.2020.102574] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/10/2020] [Accepted: 11/13/2020] [Indexed: 12/11/2022]
Abstract
The T-cell receptor (TCR) is a highly polymorphic surface receptor that allows T-cells to recognize antigenic peptides presented on the major histocompatibility complex (MHC). Changes in the TCR repertoire have been observed in several autoimmune conditions, and these changes are suggested to predispose autoimmunity. Multiple lines of evidence have implied an important role for T-cells in the pathogenesis of Systemic Sclerosis (SSc), a complex autoimmune disease. One of the major questions regarding the roles of T-cells is whether expansion and activation of T-cells observed in the diseases pathogenesis is antigen driven. To investigate the temporal TCR repertoire dynamics in SSc, we performed high-throughput sequencing of CD4+ and CD8+ TCRβ chains on longitudinal samples obtained from four SSc patients collected over a minimum of two years. Repertoire overlap analysis revealed that samples taken from the same individual over time shared a high number of TCRβ sequences, indicating a clear temporal persistence of the TCRβ repertoire in CD4+ as well as CD8+ T-cells. Moreover, the TCRβs that were found with a high frequency at one time point were also found with a high frequency at the other time points (even after almost four years), showing that frequencies of dominant TCRβs are largely consistent over time. We also show that TCRβ generation probability and observed TCR frequency are not related in SSc samples, showing that clonal expansion and persistence of TCRβs is caused by antigenic selection rather than convergent recombination. Moreover, we demonstrate that TCRβ diversity is lower in CD4+ and CD8+ T-cells from SSc patients compared with memory T-cells from healthy individuals, as SSc TCRβ repertoires are largely dominated by clonally expanded persistent TCRβ sequences. Lastly, using "Grouping of Lymphocyte Interactions by Paratope Hotspots" (GLIPH2), we identify clusters of TCRβ sequences with homologous sequences that potentially recognize the same antigens and contain TCRβs that are persist in SSc patients. In conclusion, our results show that CD4+ and CD8+ T-cells are highly persistent in SSc patients over time, and this persistence is likely a result from antigenic selection. Moreover, persistent TCRs form high similarity clusters with other (non-)persistent sequences that potentially recognize the same epitopes. These data provide evidence for an antigen driven expansion of CD4+/CD8+ T-cells in SSc.
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Affiliation(s)
- N H Servaas
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - F Zaaraoui-Boutahar
- Department of Viroscience, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - C G K Wichers
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A Ottria
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - E Chouri
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A J Affandi
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - S Silva-Cardoso
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - M van der Kroef
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - T Carvalheiro
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - F van Wijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - T R D J Radstake
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A C Andeweg
- Department of Viroscience, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - A Pandit
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
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Hou X, Chen W, Zhang X, Wang G, Chen J, Zeng P, Fu X, Zhang Q, Liu X, Diao H. Preselection TCR repertoire predicts CD4 + and CD8 + T-cell differentiation state. Immunology 2020; 161:354-363. [PMID: 32875554 DOI: 10.1111/imm.13256] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 07/15/2020] [Accepted: 08/12/2020] [Indexed: 02/06/2023] Open
Abstract
T cells must display diversity regarding both the cell state and T-cell receptor (TCR) repertoire to provide effective immunity against pathogens; however, the generation and evolution of cellular T-cell heterogeneity in the adaptive immune system remains unclear. In the present study, a combination of multiplex PCR and immune repertoire sequencing (IR-seq) was used for a standardized analysis of the TCR β-chain repertoire of CD4+ naive, CD4+ memory, CD8+ naive and CD8+ memory T cells. We showed that the T-cell subsets could be distinguished from each another with regard to the TCR β-chain (TCR-β) diversity, CDR3 length distribution and TRBV usage, which could be observed both in the preselection and in the post-selection repertoire. Moreover, the Dβ-Jβ and Vβ-Dβ combination patterns at the initial recombination step, template-independent insertion of nucleotides and inter-subset overlap were consistent between the pre- and post-selection repertoires, with a remarkably positive correlation. Taken together, these results support differentiation of the CD4+ and CD8+ T-cell subsets prior to thymic selection, and these differences survived both positive and negative selection. In conclusion, these findings provide deeper insight into the generation and evolution of TCR repertoire generation.
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Affiliation(s)
- Xianliang Hou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Central Laboratory, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Wenbiao Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xujun Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Guangyu Wang
- Central Laboratory, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Jianing Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ping Zeng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xuyan Fu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Qiong Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiangdong Liu
- College of Materials and Textile, Zhejiang Sci-Tech University, Xiasha Higher Education Zone, Hangzhou, China
| | - Hongyan Diao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Chen W, Zhang X, Bi K, Zhou H, Xu J, Dai Y, Diao H. Comprehensive Study of Tumor Immune Microenvironment and Relevant Genes in Hepatocellular Carcinoma Identifies Potential Prognostic Significance. Front Oncol 2020; 10:554165. [PMID: 33072579 PMCID: PMC7541903 DOI: 10.3389/fonc.2020.554165] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 08/13/2020] [Indexed: 12/11/2022] Open
Abstract
Background: The tumor immune microenvironment (TIME) is an external immune system that regulates tumorigenesis. However, cellular interactions involving the TIME in hepatocellular carcinoma (HCC) are poorly characterized. Methods: In this study, we used multidimensional bioinformatic methods to comprehensively analyze cellular TIME characteristics in 735 HCC patients. Additionally, we explored associations involving TIME molecular subtypes and gene types and clinicopathological features to construct a prognostic signature. Results: Based on their characteristics, we classified TIME and gene signatures into three phenotypes (TIME T1–3) and two gene clusters (Gene G1–2), respectively. Further analysis revealed that Gene G1 was associated with immune activation and surveillance and included CD8+ T cells, natural killer cell activation, and activated CD4+ memory T cells. In contrast, Gene G2 was characterized by increased M0 macrophage and regulatory T cell levels. After calculation of principal component algorithms, a TIME score (TS) model, including 78 differentially expressed genes, was constructed based on TIME phenotypes and gene clusters. Furthermore, we observed that the Gene G2 cluster was characterized by high TS, and Gene G1 was characterized by low TS, which correlated with poor and favorable prognosis of HCC, respectively. Correlation analysis showed that TS had a positive association with several clinicopathologic signatures [such as grade, stage, tumor (T), and node (N)] and known somatic gene mutations (such as TP53 and CTNNB1). The prognostic value of the TS model was verified using external data sets. Conclusion: We constructed a TS model based on differentially expressed genes and involving immune phenotypes and demonstrated that the TS model is an effective prognostic biomarker and predictor for HCC patients.
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Affiliation(s)
- Wenbiao Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xujun Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Kefan Bi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Hetong Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jia Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yong Dai
- Department of Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Hongyan Diao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
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21
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PD-L1 Checkpoint Inhibition Narrows the Antigen-Specific T Cell Receptor Repertoire in Chronic Lymphocytic Choriomeningitis Virus Infection. J Virol 2020; 94:JVI.00795-20. [PMID: 32641478 DOI: 10.1128/jvi.00795-20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 06/19/2020] [Indexed: 11/20/2022] Open
Abstract
Checkpoint inhibitors are effective in restoring exhausted CD8+ T cell responses in persistent viral infections or tumors. Several compounds are in clinical use for different malignancies, but trials in patients with chronic viral infections have also been conducted. In a mouse model of persistent lymphocytic choriomeningitis virus (LCMV) infection, it was shown that checkpoint inhibitor treatment increased T cell proliferation and functionality, but its influence on the antigen-specific T cell receptor (TCR) repertoire is unknown. NP396-specific CD8+ T cells dominate during acute LCMV infection and are predominantly exhausted during chronic infection. Next-generation sequencing of NP396-specific TCRs showed that exhaustion corresponds with a significantly reduced NP396-specific TCR repertoire diversity: Shannon indices of 4 in immunized mice to 2.6 in persistently infected mice. Anti-PD-L1 treatment during persistent LCMV infection restored NP396-specific T cell responses and reduced viral titers. Nevertheless, anti-PD-L1-treated mice showed an even more narrowed TCR repertoire, with reduced TCR diversity compared to that of persistently infected control mice (Shannon indices of 2.1 and 2.6, respectively). Interestingly, anti-PD-L1 treatment-induced narrowing of the TCR repertoire negatively correlates with functional and physical restoration of the antigen-specific T cell response. Further, we found that private, hyperexpanded TCR clonotypes dominated the T cell response after anti-PD-L1 treatment. Although being private, these top clonotypes from anti-PD-L1-treated mice revealed a more closely related CDR3 motif than those of top clonotypes from persistently infected control mice. In conclusion, although targeting the PD-1/PD-L1 pathway reinvigorates exhausted CD8+ T cells, it fails to restore T cell repertoire diversity.IMPORTANCE Checkpoint inhibitors are effective immunotherapeutics to restore cancer- and virus-induced exhausted CD8+ T cells, by enhancing the quality and survival of immune responses. Although checkpoint inhibitors are already used as therapy against various cancers, not much is known about their multifaceted impact on the exhausted CD8+ T cell receptor (TCR) repertoire. This report describes for the first time the evolvement of an exhausted antigen-specific CD8+ TCR repertoire under checkpoint inhibitor treatment. By using a well-established virus model, we were able to show major shifts toward oligoclonality of the CD8+ TCR repertoire response against a massively exhausted lymphocytic choriomeningitis virus (LCMV) epitope. While supporting viral control in the LCMV model, oligoclonality and more private of TCR repertoires may impact future pathogenic challenges and may promote viral escape. Our results may explain the ongoing problems of viral escapes, unpredictable autoimmunity, and heterogeneous responses appearing as adverse effects of checkpoint inhibitor treatments.
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