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Ni Y, You G, Gong Y, Su X, Du Y, Wang X, Ding X, Fu Q, Zhang M, Cheng T, Lan Y, Liu B, Liu C. Human yolk sac-derived innate lymphoid-biased multipotent progenitors emerge prior to hematopoietic stem cell formation. Dev Cell 2024:S1534-5807(24)00388-5. [PMID: 38996461 DOI: 10.1016/j.devcel.2024.06.010] [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: 10/26/2023] [Revised: 04/29/2024] [Accepted: 06/17/2024] [Indexed: 07/14/2024]
Abstract
Hematopoietic stem cell (HSC)-independent lymphopoiesis has been elucidated in murine embryos. However, our understanding regarding human embryonic counterparts remains limited. Here, we demonstrated the presence of human yolk sac-derived lymphoid-biased progenitors (YSLPs) expressing CD34, IL7R, LTB, and IRF8 at Carnegie stage 10, much earlier than the first HSC emergence. The number and lymphopoietic potential of these progenitors were both significantly higher in the yolk sac than the embryo proper at this early stage. Importantly, single-cell/bulk culture and CITE-seq have elucidated the tendency of YSLP to differentiate into innate lymphoid cells and dendritic cells. Notably, lymphoid progenitors in fetal liver before and after HSC seeding displayed distinct transcriptional features, with the former closely resembling those of YSLPs. Overall, our data identified the origin, potential, and migratory dynamics of innate lymphoid-biased multipotent progenitors in human yolk sac before HSC emergence, providing insights for understanding the stepwise establishment of innate immune system in humans.
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Affiliation(s)
- Yanli Ni
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China
| | - Guoju You
- School of Medicine, Tsinghua University, Beijing 100080, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China
| | - Xiaoyu Su
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang 212013, China
| | - Yuan Du
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650031, China
| | - Xiaoshuang Wang
- Department of Biochemistry and Molecular Biology, State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Xiaochen Ding
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China
| | - Qingfeng Fu
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China
| | - Man Zhang
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China
| | - Tao Cheng
- Department of Biochemistry and Molecular Biology, State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Yu Lan
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Bing Liu
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Senior Department of Hematology, Fifth Medical Center, Medical Innovation Research Department, Chinese PLA General Hospital, Beijing 100071, China; State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650031, China; Department of Physiology and Pathophysiology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
| | - Chen Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.
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2
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Alhaj Hussen K, Louis V, Canque B. A new model of human lymphopoiesis across development and aging. Trends Immunol 2024; 45:495-510. [PMID: 38908962 DOI: 10.1016/j.it.2024.05.007] [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: 05/06/2024] [Revised: 05/25/2024] [Accepted: 05/26/2024] [Indexed: 06/24/2024]
Abstract
Over the past decade our research has implemented a multimodal approach to human lymphopoiesis, combining clonal-scale mapping of lymphoid developmental architecture with the monitoring of dynamic changes in the pattern of lymphocyte generation across ontogeny. We propose that lymphopoiesis stems from founder populations of CD127/interleukin (IL)7R- or CD127/IL7R+ early lymphoid progenitors (ELPs) polarized respectively toward the T-natural killer (NK)/innate lymphoid cell (ILC) or B lineages, arising from newly characterized CD117lo multi-lymphoid progenitors (MLPs). Recent data on the lifelong lymphocyte dynamics of healthy donors suggest that, after birth, lymphopoiesis may become increasingly oriented toward the production of B lymphocytes. Stemming from this, we posit that there are three major developmental transitions, the first occurring during the neonatal period, the next at puberty, and the last during aging.
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Affiliation(s)
- Kutaiba Alhaj Hussen
- Service de Biochimie, Université de Paris Saclay, Hôpital Paul Brousse, AP-HP, Paris, France
| | - Valentine Louis
- INSERM 1151, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut Necker Enfants Malades (INEM), Paris, France
| | - Bruno Canque
- INSERM 1151, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut Necker Enfants Malades (INEM), Paris, France.
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3
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Ruiz Pérez M, Maueröder C, Steels W, Verstraeten B, Lameire S, Xie W, Wyckaert L, Huysentruyt J, Divert T, Roelandt R, Gonçalves A, De Rycke R, Ravichandran K, Lambrecht BN, Taghon T, Leclercq G, Vandenabeele P, Tougaard P. TL1A and IL-18 synergy promotes GM-CSF-dependent thymic granulopoiesis in mice. Cell Mol Immunol 2024:10.1038/s41423-024-01180-8. [PMID: 38839915 DOI: 10.1038/s41423-024-01180-8] [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: 11/01/2023] [Accepted: 04/27/2024] [Indexed: 06/07/2024] Open
Abstract
Acute systemic inflammation critically alters the function of the immune system, often promoting myelopoiesis at the expense of lymphopoiesis. In the thymus, systemic inflammation results in acute thymic atrophy and, consequently, impaired T-lymphopoiesis. The mechanism by which systemic inflammation impacts the thymus beyond suppressing T-cell development is still unclear. Here, we describe how the synergism between TL1A and IL-18 suppresses T-lymphopoiesis to promote thymic myelopoiesis. The protein levels of these two cytokines were elevated in the thymus during viral-induced thymus atrophy infection with murine cytomegalovirus (MCMV) or pneumonia virus of mice (PVM). In vivo administration of TL1A and IL-18 induced acute thymic atrophy, while thymic neutrophils expanded. Fate mapping with Ms4a3-Cre mice demonstrated that thymic neutrophils emerge from thymic granulocyte-monocyte progenitors (GMPs), while Rag1-Cre fate mapping revealed a common developmental path with lymphocytes. These effects could be modeled ex vivo using neonatal thymic organ cultures (NTOCs), where TL1A and IL-18 synergistically enhanced neutrophil production and egress. NOTCH blockade by the LY411575 inhibitor increased the number of neutrophils in the culture, indicating that NOTCH restricted steady-state thymic granulopoiesis. To promote myelopoiesis, TL1A, and IL-18 synergistically increased GM-CSF levels in the NTOC, which was mainly produced by thymic ILC1s. In support, TL1A- and IL-18-induced granulopoiesis was completely prevented in NTOCs derived from Csf2rb-/- mice and by GM-CSFR antibody blockade, revealing that GM-CSF is the essential factor driving thymic granulopoiesis. Taken together, our findings reveal that TL1A and IL-18 synergism induce acute thymus atrophy while promoting extramedullary thymic granulopoiesis in a NOTCH and GM-CSF-controlled manner.
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Affiliation(s)
- Mario Ruiz Pérez
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Christian Maueröder
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- Cell Clearance in Health and Disease Lab, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
| | - Wolf Steels
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Bruno Verstraeten
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Sahine Lameire
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Wei Xie
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Laura Wyckaert
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jelle Huysentruyt
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Tatyana Divert
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Ria Roelandt
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- VIB Single Cell Facility, Flanders Institute for Biotechnology, Ghent, Belgium
| | - Amanda Gonçalves
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- VIB BioImaging Core, VIB-UGent Center for Inflammation Research, Technologiepark-Zwijnaarde 71, Ghent, 9052, Belgium
| | - Riet De Rycke
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- VIB BioImaging Core, VIB-UGent Center for Inflammation Research, Technologiepark-Zwijnaarde 71, Ghent, 9052, Belgium
| | - Kodi Ravichandran
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- Cell Clearance in Health and Disease Lab, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA
- Division of Immunobiology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bart N Lambrecht
- Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Tom Taghon
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Georges Leclercq
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Peter Vandenabeele
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium.
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium.
| | - Peter Tougaard
- Molecular Signaling and Cell Death Unit, VIB-UGent Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium.
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium.
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4
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Assatova B, Willim R, Trevisani C, Haskett G, Kariya KM, Chopra K, Park SR, Tolstorukov MY, McCabe SM, Duffy J, Louissaint A, Huuhtanen J, Bhattacharya D, Mustjoki S, Koh MJ, Powers F, Morgan EA, Yang L, Pinckney B, Cotton MJ, Crabbe A, Ziemba JB, Brain I, Heavican-Foral TB, Iqbal J, Nemec R, Rider AB, Ford JG, Koh MJ, Scanlan N, Feith DJ, Loughran TP, Kim WS, Choi J, Roels J, Boehme L, Putteman T, Taghon T, Barnes JA, Johnson PC, Jacobsen ED, Greenberg SA, Weinstock DM, Jain S. KLRG1 Cell Depletion as a Novel Therapeutic Strategy in Patients with Mature T-Cell Lymphoma Subtypes. Clin Cancer Res 2024; 30:2514-2530. [PMID: 38252421 PMCID: PMC11145167 DOI: 10.1158/1078-0432.ccr-23-3504] [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: 11/09/2023] [Revised: 01/02/2024] [Accepted: 01/18/2024] [Indexed: 01/23/2024]
Abstract
PURPOSE Develop a novel therapeutic strategy for patients with subtypes of mature T-cell and NK-cell neoplasms. EXPERIMENTAL DESIGN Primary specimens, cell lines, patient-derived xenograft models, commercially available, and proprietary anti-KLRG1 antibodies were used for screening, target, and functional validation. RESULTS Here we demonstrate that surface KLRG1 is highly expressed on tumor cells in subsets of patients with extranodal NK/T-cell lymphoma (ENKTCL), T-prolymphocytic leukemia (T-PLL), and gamma/delta T-cell lymphoma (G/D TCL). The majority of the CD8+/CD57+ or CD3-/CD56+ leukemic cells derived from patients with T- and NK-large granular lymphocytic leukemia (T-LGLL and NK-LGLL), respectively, expressed surface KLRG1. The humanized afucosylated anti-KLRG1 monoclonal antibody (mAb208) optimized for mouse in vivo use depleted KLRG1+ TCL cells by mechanisms of ADCC, ADCP, and CDC rather than apoptosis. mAb208 induced ADCC and ADCP of T-LGLL patient-derived CD8+/CD57+ cells ex vivo. mAb208 effected ADCC of subsets of healthy donor-derived KLRG1+ NK, CD4+, CD8+ Tem, and TemRA cells while sparing KLRG1- naïve and CD8+ Tcm cells. Treatment of cell line and TCL patient-derived xenografts with mAb208 or anti-CD47 mAb alone and in combination with the PI3K-δ/γ inhibitor duvelisib extended survival. The depletion of macrophages in vivo antagonized mAb208 efficacy. CONCLUSIONS Our findings suggest the potential benefit of a broader treatment strategy combining therapeutic antibodies with PI3Ki for the treatment of patients with mature T-cell and NK-cell neoplasms. See related commentary by Varma and Diefenbach, p. 2300.
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MESH Headings
- Humans
- Animals
- Mice
- Receptors, Immunologic/antagonists & inhibitors
- Receptors, Immunologic/metabolism
- Receptors, Immunologic/immunology
- Lectins, C-Type/metabolism
- Lectins, C-Type/immunology
- Lectins, C-Type/antagonists & inhibitors
- Xenograft Model Antitumor Assays
- Cell Line, Tumor
- Lymphoma, T-Cell/immunology
- Lymphoma, T-Cell/pathology
- Lymphoma, T-Cell/therapy
- Lymphoma, T-Cell/drug therapy
- Killer Cells, Natural/immunology
- Killer Cells, Natural/metabolism
- Antibodies, Monoclonal/therapeutic use
- Antibodies, Monoclonal/pharmacology
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Affiliation(s)
- Bimarzhan Assatova
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Robert Willim
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Christopher Trevisani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- College of Medicine, SUNY Upstate Medical University, Syracuse, New York
| | - Garrett Haskett
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Khyati Maulik Kariya
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Kusha Chopra
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Sung Rye Park
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Sean M. McCabe
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Jessica Duffy
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Abner Louissaint
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Jani Huuhtanen
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Dipabarna Bhattacharya
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Min Jung Koh
- School of Medicine, Georgetown University, Washington, District of Columbia
| | - Foster Powers
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Elizabeth A. Morgan
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lei Yang
- MD Anderson UTH Health Graduate School of Biomedical Sciences, Houston, Texas
| | - Brandy Pinckney
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Matthew J. Cotton
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Andrew Crabbe
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
- Department of Pathology, Akron General, Cleveland Clinic, Akron, Ohio
| | - Jessica Beth Ziemba
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Histopath, Inc, Corpus Christi, Texas
| | - Ian Brain
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada
| | | | - Javeed Iqbal
- Department of Pathology and Microbiology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - Ronald Nemec
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Anna Baird Rider
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Josie Germain Ford
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Min Ji Koh
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Nora Scanlan
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - David J. Feith
- Department of Medicine, University of Virginia Cancer Center, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Thomas P. Loughran
- Department of Medicine, University of Virginia Cancer Center, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Won Seog Kim
- Department of Medicine, Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Jaehyuk Choi
- Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Juliette Roels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tom Putteman
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Jeffrey A. Barnes
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - P. Connor Johnson
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Eric D. Jacobsen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Steven A. Greenberg
- Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - David M. Weinstock
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Salvia Jain
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
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5
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Quaranta P, Basso-Ricci L, Jofra Hernandez R, Pacini G, Naldini MM, Barcella M, Seffin L, Pais G, Spinozzi G, Benedicenti F, Pietrasanta C, Cheong JG, Ronchi A, Pugni L, Dionisio F, Monti I, Giannelli S, Darin S, Fraschetta F, Barera G, Ferrua F, Calbi V, Ometti M, Di Micco R, Mosca F, Josefowicz SZ, Montini E, Calabria A, Bernardo ME, Cicalese MP, Gentner B, Merelli I, Aiuti A, Scala S. Circulating hematopoietic stem/progenitor cell subsets contribute to human hematopoietic homeostasis. Blood 2024; 143:1937-1952. [PMID: 38446574 PMCID: PMC11106755 DOI: 10.1182/blood.2023022666] [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: 09/22/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
ABSTRACT In physiological conditions, few circulating hematopoietic stem/progenitor cells (cHSPCs) are present in the peripheral blood, but their contribution to human hematopoiesis remain unsolved. By integrating advanced immunophenotyping, single-cell transcriptional and functional profiling, and integration site (IS) clonal tracking, we unveiled the biological properties and the transcriptional features of human cHSPC subpopulations in relationship to their bone marrow (BM) counterpart. We found that cHSPCs reduced in cell count over aging and are enriched for primitive, lymphoid, and erythroid subpopulations, showing preactivated transcriptional and functional state. Moreover, cHSPCs have low expression of multiple BM-retention molecules but maintain their homing potential after xenotransplantation. By generating a comprehensive human organ-resident HSPC data set based on single-cell RNA sequencing data, we detected organ-specific seeding properties of the distinct trafficking HSPC subpopulations. Notably, circulating multi-lymphoid progenitors are primed for seeding the thymus and actively contribute to T-cell production. Human clonal tracking data from patients receiving gene therapy (GT) also showed that cHSPCs connect distant BM niches and participate in steady-state hematopoietic production, with primitive cHSPCs having the highest recirculation capability to travel in and out of the BM. Finally, in case of hematopoietic impairment, cHSPCs composition reflects the BM-HSPC content and might represent a biomarker of the BM state for clinical and research purposes. Overall, our comprehensive work unveiled fundamental insights into the in vivo dynamics of human HSPC trafficking and its role in sustaining hematopoietic homeostasis. GT patients' clinical trials were registered at ClinicalTrials.gov (NCT01515462 and NCT03837483) and EudraCT (2009-017346-32 and 2018-003842-18).
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Affiliation(s)
- Pamela Quaranta
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Luca Basso-Ricci
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Raisa Jofra Hernandez
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Guido Pacini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Maria Naldini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Matteo Barcella
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luca Seffin
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Giulia Pais
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulio Spinozzi
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Fabrizio Benedicenti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carlo Pietrasanta
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Jin Gyu Cheong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Andrea Ronchi
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lorenza Pugni
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesca Dionisio
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ilaria Monti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefania Giannelli
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Darin
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federico Fraschetta
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Graziano Barera
- Pediatric Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Ferrua
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Valeria Calbi
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Ometti
- Department of Orthopedics and Traumatology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Raffaella Di Micco
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Fabio Mosca
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Steven Zvi Josefowicz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Eugenio Montini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Calabria
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Ester Bernardo
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Cicalese
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bernhard Gentner
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ivan Merelli
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Aiuti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Pediatric Immunohematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Serena Scala
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
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6
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Stankiewicz LN, Rossi FMV, Zandstra PW. Rebuilding and rebooting immunity with stem cells. Cell Stem Cell 2024; 31:597-616. [PMID: 38593798 DOI: 10.1016/j.stem.2024.03.012] [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: 01/08/2024] [Revised: 03/08/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024]
Abstract
Advances in modern medicine have enabled a rapid increase in lifespan and, consequently, have highlighted the immune system as a key driver of age-related disease. Immune regeneration therapies present exciting strategies to address age-related diseases by rebooting the host's primary lymphoid tissues or rebuilding the immune system directly via biomaterials or artificial tissue. Here, we identify important, unanswered questions regarding the safety and feasibility of these therapies. Further, we identify key design parameters that should be primary considerations guiding technology design, including timing of application, interaction with the host immune system, and functional characterization of the target patient population.
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Affiliation(s)
- Laura N Stankiewicz
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Fabio M V Rossi
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Peter W Zandstra
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
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7
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Zhang X, Zhu R, Yu D, Wang J, Yan Y, Xu K. Single-cell RNA sequencing to explore cancer-associated fibroblasts heterogeneity: "Single" vision for "heterogeneous" environment. Cell Prolif 2024; 57:e13592. [PMID: 38158643 PMCID: PMC11056715 DOI: 10.1111/cpr.13592] [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: 07/18/2023] [Revised: 10/24/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024] Open
Abstract
Cancer-associated fibroblasts (CAFs), a phenotypically and functionally heterogeneous stromal cell, are one of the most important components of the tumour microenvironment. Previous studies have consolidated it as a promising target against cancer. However, variable therapeutic efficacy-both protumor and antitumor effects have been observed not least owing to the strong heterogeneity of CAFs. Over the past 10 years, advances in single-cell RNA sequencing (scRNA-seq) technologies had a dramatic effect on biomedical research, enabling the analysis of single cell transcriptomes with unprecedented resolution and throughput. Specifically, scRNA-seq facilitates our understanding of the complexity and heterogeneity of diverse CAF subtypes. In this review, we discuss the up-to-date knowledge about CAF heterogeneity with a focus on scRNA-seq perspective to investigate the emerging strategies for integrating multimodal single-cell platforms. Furthermore, we summarized the clinical application of scRNA-seq on CAF research. We believe that the comprehensive understanding of the heterogeneity of CAFs form different visions will generate innovative solutions to cancer therapy and achieve clinical applications.
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Affiliation(s)
- Xiangjian Zhang
- The Dingli Clinical College of Wenzhou Medical UniversityWenzhouZhejiangChina
- Department of Surgical OncologyWenzhou Central HospitalWenzhouZhejiangChina
- The Second Affiliated Hospital of Shanghai UniversityWenzhouZhejiangChina
| | - Ruiqiu Zhu
- Interventional Cancer Institute of Chinese Integrative MedicinePutuo Hospital, Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Die Yu
- Interventional Cancer Institute of Chinese Integrative MedicinePutuo Hospital, Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Juan Wang
- School of MedicineShanghai UniversityShanghaiChina
| | - Yuxiang Yan
- The Dingli Clinical College of Wenzhou Medical UniversityWenzhouZhejiangChina
- Department of Surgical OncologyWenzhou Central HospitalWenzhouZhejiangChina
- The Second Affiliated Hospital of Shanghai UniversityWenzhouZhejiangChina
| | - Ke Xu
- Institute of Translational MedicineShanghai UniversityShanghaiChina
- Organoid Research CenterShanghai UniversityShanghaiChina
- Wenzhou Institute of Shanghai UniversityWenzhouChina
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8
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Larouche JD, Laumont CM, Trofimov A, Vincent K, Hesnard L, Brochu S, Côté C, Humeau JF, Bonneil É, Lanoix J, Durette C, Gendron P, Laverdure JP, Richie ER, Lemieux S, Thibault P, Perreault C. Transposable elements regulate thymus development and function. eLife 2024; 12:RP91037. [PMID: 38635416 PMCID: PMC11026094 DOI: 10.7554/elife.91037] [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] [Indexed: 04/20/2024] Open
Abstract
Transposable elements (TEs) are repetitive sequences representing ~45% of the human and mouse genomes and are highly expressed by medullary thymic epithelial cells (mTECs). In this study, we investigated the role of TEs on T-cell development in the thymus. We performed multiomic analyses of TEs in human and mouse thymic cells to elucidate their role in T-cell development. We report that TE expression in the human thymus is high and shows extensive age- and cell lineage-related variations. TE expression correlates with multiple transcription factors in all cell types of the human thymus. Two cell types express particularly broad TE repertoires: mTECs and plasmacytoid dendritic cells (pDCs). In mTECs, transcriptomic data suggest that TEs interact with transcription factors essential for mTEC development and function (e.g., PAX1 and REL), and immunopeptidomic data showed that TEs generate MHC-I-associated peptides implicated in thymocyte education. Notably, AIRE, FEZF2, and CHD4 regulate small yet non-redundant sets of TEs in murine mTECs. Human thymic pDCs homogenously express large numbers of TEs that likely form dsRNA, which can activate innate immune receptors, potentially explaining why thymic pDCs constitutively secrete IFN ɑ/β. This study highlights the diversity of interactions between TEs and the adaptive immune system. TEs are genetic parasites, and the two thymic cell types most affected by TEs (mTEcs and pDCs) are essential to establishing central T-cell tolerance. Therefore, we propose that orchestrating TE expression in thymic cells is critical to prevent autoimmunity in vertebrates.
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Affiliation(s)
- Jean-David Larouche
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Medicine, Université de MontréalMontréalCanada
| | - Céline M Laumont
- Deeley Research Centre, BC CancerVictoriaCanada
- Department of Medical Genetics, University of British ColumbiaVancouverCanada
| | - Assya Trofimov
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Computer Science and Operations Research, Université de MontréalMontréalCanada
- Fred Hutchinson Cancer CenterSeattleUnited States
- Department of Physics, University of WashingtonSeattleUnited States
| | - Krystel Vincent
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Leslie Hesnard
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Sylvie Brochu
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Caroline Côté
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Juliette F Humeau
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Éric Bonneil
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Joel Lanoix
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Chantal Durette
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | - Patrick Gendron
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
| | | | - Ellen R Richie
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas M.D. Anderson Cancer CenterHoustonUnited States
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Biochemistry and Molecular Medicine, Université de MontréalMontrealCanada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Chemistry, Université de MontréalMontréalCanada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de MontréalMontrealCanada
- Department of Medicine, Université de MontréalMontréalCanada
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9
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Symmank D, Richter FC, Rendeiro AF. Navigating the thymic landscape through development: from cellular atlas to tissue cartography. Genes Immun 2024; 25:102-104. [PMID: 38341523 PMCID: PMC11023925 DOI: 10.1038/s41435-024-00257-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Affiliation(s)
- Dörte Symmank
- Department of Dermatology, Medical University of Vienna, Vienna, 1090, Austria.
| | - Felix Clemens Richter
- Institute of Hygiene and Applied Immunology, Department of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, 1090, Austria
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, 1090, Austria
| | - André F Rendeiro
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, 1090, Austria
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10
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Rueda AD, Salvador-Martínez I, Sospedra-Arrufat I, Alcaina-Caro A, Fernández-Miñán A, Burgos-Ruiz AM, Cases I, Mohedano A, Tena JJ, Heyn H, Lopez-Rios J, Nusspaumer G. The cellular landscape of the endochondral bone during the transition to extrauterine life. Immunol Cell Biol 2024; 102:131-148. [PMID: 38184783 DOI: 10.1111/imcb.12718] [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] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 01/08/2024]
Abstract
The cellular complexity of the endochondral bone underlies its essential and pleiotropic roles during organismal life. While the adult bone has received significant attention, we still lack a deep understanding of the perinatal bone cellulome. Here, we have profiled the full composition of the murine endochondral bone at the single-cell level during the transition from fetal to newborn life and in comparison with the adult tissue, with particular emphasis on the mesenchymal compartment. The perinatal bone contains different fibroblastic clusters with blastema-like characteristics in organizing and supporting skeletogenesis, angiogenesis and hematopoiesis. Our data also suggest dynamic inter- and intra-compartment interactions, as well as a bone marrow milieu that seems prone to anti-inflammation, which we hypothesize is necessary to ensure the proper program of lymphopoiesis and the establishment of central and peripheral tolerance in early life. Our study provides an integrative roadmap for the future design of genetic and cellular functional assays to validate cellular interactions and lineage relationships within the perinatal bone.
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Affiliation(s)
- Alejandro Díaz Rueda
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Irepan Salvador-Martínez
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ismael Sospedra-Arrufat
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ana Alcaina-Caro
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ana Fernández-Miñán
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ana M Burgos-Ruiz
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ildefonso Cases
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Alberto Mohedano
- Intensive Care Unit, Severo Ochoa University Hospital Leganés, Madrid, Spain
| | - Juan J Tena
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Javier Lopez-Rios
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
- Universidad Loyola Andalucía, School of Health Sciences, Dos Hermanas, Seville, Spain
| | - Gretel Nusspaumer
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
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11
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Yang X, Chen X, Wang W, Qu S, Lai B, Zhang J, Chen J, Han C, Tian Y, Xiao Y, Gao W, Wu Y. Transcriptional profile of human thymus reveals IGFBP5 is correlated with age-related thymic involution. Front Immunol 2024; 15:1322214. [PMID: 38318192 PMCID: PMC10839013 DOI: 10.3389/fimmu.2024.1322214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/03/2024] [Indexed: 02/07/2024] Open
Abstract
Thymus is the main immune organ which is responsible for the production of self-tolerant and functional T cells, but it shrinks rapidly with age after birth. Although studies have researched thymus development and involution in mouse, the critical regulators that arise with age in human thymus remain unclear. We collected public human single-cell transcriptomic sequencing (scRNA-seq) datasets containing 350,678 cells from 36 samples, integrated them as a cell atlas of human thymus. Clinical samples were collected and experiments were performed for validation. We found early thymocyte-specific signaling and regulons which played roles in thymocyte migration, proliferation, apoptosis and differentiation. Nevertheless, signaling patterns including number, strength and path completely changed during aging, Transcription factors (FOXC1, MXI1, KLF9, NFIL3) and their target gene, IGFBP5, were resolved and up-regulated in aging thymus and involved in promoting epithelial-mesenchymal transition (EMT), responding to steroid and adipogenesis process of thymic epithelial cell (TECs). Furthermore, we validated that IGFBP5 protein increased at TECs and Hassall's corpuscle in both human and mouse aging thymus and knockdown of IGFBP5 significantly increased the expression of proliferation-related genes in thymocytes. Collectively, we systematically explored cell-cell communications and regulons of early thymocytes as well as age-related differences in human thymus by using both bioinformatic and experimental verification, indicating IGFBP5 as a functional marker of thymic involution and providing new insights into the mechanisms of thymus involution.
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Affiliation(s)
- Xiaojing Yang
- College of Bioengineering, Chongqing University, Chongqing, China
| | - Xichan Chen
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wei Wang
- Department of Cardiovascular Surgery, the Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Siming Qu
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Binbin Lai
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Ji Zhang
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jian Chen
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chao Han
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yi Tian
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yingbin Xiao
- Department of Cardiovascular Surgery, the Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Weiwu Gao
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yuzhang Wu
- College of Bioengineering, Chongqing University, Chongqing, China
- Institute of Immunology People’s Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
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12
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Tougaard P, Pérez MR, Steels W, Huysentruyt J, Verstraeten B, Vetters J, Divert T, Gonçalves A, Roelandt R, Takahashi N, Janssens S, Buus TB, Taghon T, Leclercq G, Vandenabeele P. Type 1 immunity enables neonatal thymic ILC1 production. SCIENCE ADVANCES 2024; 10:eadh5520. [PMID: 38232171 PMCID: PMC10793954 DOI: 10.1126/sciadv.adh5520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024]
Abstract
Acute thymic atrophy occurs following type 1 inflammatory conditions such as viral infection and sepsis, resulting in cell death and disruption of T cell development. However, the impact type 1 immunity has on thymic-resident innate lymphoid cells (ILCs) remains unclear. Single-cell RNA sequencing revealed neonatal thymic-resident type 1 ILCs (ILC1s) as a unique and immature subset compared to ILC1s in other primary lymphoid organs. Culturing murine neonatal thymic lobes with the type 1 cytokines interleukin-12 (IL-12) and IL-18 resulted in a rapid expansion and thymic egress of KLRG1+CXCR6+ cytotoxic ILC1s. Live imaging showed the subcapsular thymic localization and exit of ILC1s following IL-12 + IL-18 stimulation. Similarly, murine cytomegalovirus infection in neonates resulted in thymic atrophy and subcapsular localization of thymic-resident ILC1s. Neonatal thymic grafting revealed that type 1 inflammation enhances the homing of cytokine-producing thymus-derived ILC1s to the liver and peritoneal cavity. Together, we show that type 1 immunity promotes the expansion and peripheral homing of thymic-derived ILC1s.
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Affiliation(s)
- Peter Tougaard
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Mario R. Pérez
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Wolf Steels
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jelle Huysentruyt
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Bruno Verstraeten
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jessica Vetters
- Laboratory for ER Stress and Inflammation, VIB Center for Inflammation Research, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Tatyana Divert
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Amanda Gonçalves
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
- VIB BioImaging Core, VIB-UGent Center for Inflammation Research, Technologiepark-Zwijnaarde 71, Ghent 9052, Belgium
| | - Ria Roelandt
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Nozomi Takahashi
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Sophie Janssens
- Laboratory for ER Stress and Inflammation, VIB Center for Inflammation Research, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Terkild B. Buus
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Georges Leclercq
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Peter Vandenabeele
- Cell death and Inflammation Unit, VIB-UGent Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
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13
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Yayon N, Kedlian VR, Boehme L, Suo C, Wachter B, Beuschel RT, Amsalem O, Polanski K, Koplev S, Tuck E, Dann E, Van Hulle J, Perera S, Putteman T, Predeus AV, Dabrowska M, Richardson L, Tudor C, Kreins AY, Engelbert J, Stephenson E, Kleshchevnikov V, De Rita F, Crossland D, Bosticardo M, Pala F, Prigmore E, Chipampe NJ, Prete M, Fei L, To K, Barker RA, He X, Van Nieuwerburgh F, Bayraktar O, Patel M, Davies GE, Haniffa MA, Uhlmann V, Notarangelo LD, Germain RN, Radtke AJ, Marioni JC, Taghon T, Teichmann SA. A spatial human thymus cell atlas mapped to a continuous tissue axis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.25.562925. [PMID: 37986877 PMCID: PMC10659407 DOI: 10.1101/2023.10.25.562925] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
T cells develop from circulating precursors, which enter the thymus and migrate throughout specialised sub-compartments to support maturation and selection. This process starts already in early fetal development and is highly active until the involution of the thymus in adolescence. To map the micro-anatomical underpinnings of this process in pre- vs. post-natal states, we undertook a spatially resolved analysis and established a new quantitative morphological framework for the thymus, the Cortico-Medullary Axis. Using this axis in conjunction with the curation of a multimodal single-cell, spatial transcriptomics and high-resolution multiplex imaging atlas, we show that canonical thymocyte trajectories and thymic epithelial cells are highly organised and fully established by post-conception week 12, pinpoint TEC progenitor states, find that TEC subsets and peripheral tissue genes are associated with Hassall's Corpuscles and uncover divergence in the pace and drivers of medullary entry between CD4 vs. CD8 T cell lineages. These findings are complemented with a holistic toolkit for spatial analysis and annotation, providing a basis for a detailed understanding of T lymphocyte development.
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Affiliation(s)
- Nadav Yayon
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | | | - Lena Boehme
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | - Chenqu Suo
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Brianna Wachter
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Rebecca T Beuschel
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - Oren Amsalem
- Beth Israel Deaconess Medical Center, Harvard Medical School, Division of Endocrinology, Diabetes and Metabolism, Boston, MA, United States
| | | | - Simon Koplev
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Elizabeth Tuck
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Emma Dann
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Jolien Van Hulle
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | - Shani Perera
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Tom Putteman
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | | | - Monika Dabrowska
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Laura Richardson
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Catherine Tudor
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Alexandra Y Kreins
- Great Ormond Street Hospital for Children NHS Foundation Trust, Department of Immunology and Gene Therapy, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, Infection, Immunity and Inflammation Research & Teaching Department, London, United Kingdom
| | - Justin Engelbert
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | - Emily Stephenson
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | | | - Fabrizio De Rita
- Freeman Hospital, Department of Adult Congenital Heart Disease and Paediatric Cardiology/Cardiothoracic Surgery, Newcastle upon Tyne, United Kingdom
| | - David Crossland
- Freeman Hospital, Department of Adult Congenital Heart Disease and Paediatric Cardiology/Cardiothoracic Surgery, Newcastle upon Tyne, United Kingdom
| | - Marita Bosticardo
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Francesca Pala
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Elena Prigmore
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | | | - Martin Prete
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Lijiang Fei
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Ken To
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Roger A Barker
- University of Cambridge, John van Geest Centre for Brain Repair, Department of Clinical Neurosciences and Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Xiaoling He
- University of Cambridge, John van Geest Centre for Brain Repair, Department of Clinical Neurosciences and Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Filip Van Nieuwerburgh
- Ghent University, Laboratory of Pharmaceutical Biotechnology, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Omer Bayraktar
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Minal Patel
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Graham E Davies
- Great Ormond Street Hospital for Children NHS Foundation Trust, Department of Immunology and Gene Therapy, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, Infection, Immunity and Inflammation Research & Teaching Department, London, United Kingdom
| | - Muzlifah A Haniffa
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | - Virginie Uhlmann
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | - Luigi D Notarangelo
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Ronald N Germain
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - Andrea J Radtke
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - John C Marioni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
- University of Cambridge, Cancer Research UK, Cambridge, United Kingdom
| | - Tom Taghon
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- University of Cambridge, Cavendish Laboratory, Cambridge, United Kingdom
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14
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He H, Yao Y, Tang L, Li Y, Li Z, Liu B, Lan Y. Divergent molecular events underlying initial T-cell commitment in human prenatal and postnatal thymus. Front Immunol 2023; 14:1240859. [PMID: 37828991 PMCID: PMC10565475 DOI: 10.3389/fimmu.2023.1240859] [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: 06/15/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023] Open
Abstract
Introduction Intrathymic T-cell development is a coordinated process accompanied by dynamic changes in gene expression. Although the transcriptome characteristics of developing T cells in both human fetal and postnatal thymus at single-cell resolution have been revealed recently, the differences between human prenatal and postnatal thymocytes regarding the ontogeny and early events of T-cell development still remain obscure. Moreover, the transcriptional heterogeneity and posttranscriptional gene expression regulation such as alternative polyadenylation at different stages are also unknown. Method In this study, we performed integrative single-cell analyses of thymocytes at distinct developmental stages. Results The subsets of prenatal CD4-CD8- double-negative (DN) cells, the most immature thymocytes responsible for T-cell lineage commitment, were characterized. By comprehensively comparing prenatal and postnatal DN cells, we revealed significant differences in some key gene expressions. Specifically, prenatal DN subpopulations exhibited distinct biological processes and markedly activated several metabolic programs that may be coordinated to meet the required bioenergetic demands. Although showing similar gene expression patterns along the developmental path, prenatal and postnatal thymocytes were remarkably varied regarding the expression dynamics of some pivotal genes for cell cycle, metabolism, signaling pathway, thymus homing, and T-cell commitment. Finally, we quantified the transcriptome-wide changes in alternative polyadenylation across T-cell development and found diverse preferences of polyadenylation site usage in divergent populations along the T-cell commitment trajectory. Discussion In summary, our results revealed transcriptional heterogeneity and a dynamic landscape of alternative polyadenylation during T-cell development in both human prenatal and postnatal thymus, providing a comprehensive resource for understanding T lymphopoiesis in human thymus.
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Affiliation(s)
- Han He
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Yingpeng Yao
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
- Basic Medicine Postdoctoral Research Station, Jinan University, Guangzhou, China
| | - Lindong Tang
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Yuhui Li
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Zongcheng Li
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Bing Liu
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yu Lan
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
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15
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Hegewisch-Solloa E, Melsen JE, Ravichandran H, Rendeiro AF, Freud AG, Mundy-Bosse B, Melms JC, Eisman SE, Izar B, Grunstein E, Connors TJ, Elemento O, Horowitz A, Mace EM. Mapping human natural killer cell development in pediatric tonsil by imaging mass cytometry and high-resolution microscopy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.05.556371. [PMID: 37732282 PMCID: PMC10508773 DOI: 10.1101/2023.09.05.556371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Natural killer (NK) cells develop from CD34+ progenitors in a stage-specific manner defined by changes in cell surface receptor expression and function. Secondary lymphoid tissues, including tonsil, are sites of human NK cell development. Here we present new insights into human NK cell development in pediatric tonsil using cyclic immunofluorescence and imaging mass cytometry. We show that NK cell subset localization and interactions are dependent on NK cell developmental stage and tissue residency. NK cell progenitors are found in the interfollicular domain in proximity to cytokine-expressing stromal cells that promote proliferation and maturation. Mature NK cells are primarily found in the T-cell rich parafollicular domain engaging in cell-cell interactions that differ depending on their stage and tissue residency. The presence of local inflammation results in changes in NK cell interactions, abundance, and localization. This study provides the first comprehensive atlas of human NK cell development in secondary lymphoid tissue.
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Affiliation(s)
- Everardo Hegewisch-Solloa
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York NY 10032
| | - Janine E Melsen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Hiranmayi Ravichandran
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, 10065
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - André F Rendeiro
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, 10065
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14 AKH BT 25.3, 1090, Vienna, Austria
| | - Aharon G Freud
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA; Comprehensive Cancer Center and The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH 43210
| | - Bethany Mundy-Bosse
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA; Comprehensive Cancer Center and The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH 43210
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, 10032
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, 10032
| | - Shira E Eisman
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York NY 10032
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, 10032
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032
- Program for Mathematical Genomics, Columbia University, New York, NY, 10032
| | - Eli Grunstein
- Department of Otolaryngology - Head and Neck Surgery, Columbia University Medical Center, New York, New York 10032
| | - Thomas J Connors
- Department of Pediatrics, Division of Pediatric Critical Care and Hospital Medicine, Columbia University Irving Medical Center, New York, NY 10024
| | - Olivier Elemento
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065
| | - Amir Horowitz
- Department of Oncological Sciences, Precision Immunology Institute, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029
| | - Emily M Mace
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York NY 10032
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16
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Liang KL, Laurenti E, Taghon T. Circulating IRF8-expressing CD123 +CD127 + lymphoid progenitors: key players in human hematopoiesis. Trends Immunol 2023; 44:678-692. [PMID: 37591714 PMCID: PMC7614993 DOI: 10.1016/j.it.2023.07.004] [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: 06/23/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 08/19/2023]
Abstract
Lymphopoiesis is the process in which B and T cells, and innate lymphoid cells (ILCs) develop from hematopoietic progenitors that exhibit early lymphoid priming. The branching points where lymphoid-primed human progenitors are further specified to B/T/ILC differentiation trajectories remain unclear. Here, we discuss the emerging role of interferon regulatory factor (IRF)8 as a key factor to bridge human lymphoid and dendritic cell (DC) differentiation, and the current evidence for the existence of circulating and tissue-resident CD123+CD127+ lymphoid progenitors. We propose a model whereby DC/B/T/ILC lineage programs in circulating CD123+CD127+ lymphoid progenitors are expressed in balance. Upon tissue seeding, the tissue microenvironment tilts this molecular balance towards a specific lineage, thereby determining in vivo lineage fates. Finally, we discuss the translational implication of these lymphoid precursors.
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Affiliation(s)
- Kai Ling Liang
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent, Belgium
| | - Elisa Laurenti
- Department of Haematology, University of Cambridge, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent, Belgium.
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17
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Steier Z, Aylard DA, McIntyre LL, Baldwin I, Kim EJY, Lutes LK, Ergen C, Huang TS, Robey EA, Yosef N, Streets A. Single-cell multiomic analysis of thymocyte development reveals drivers of CD4 + T cell and CD8 + T cell lineage commitment. Nat Immunol 2023; 24:1579-1590. [PMID: 37580604 PMCID: PMC10457207 DOI: 10.1038/s41590-023-01584-0] [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: 11/20/2021] [Accepted: 07/12/2023] [Indexed: 08/16/2023]
Abstract
The development of CD4+ T cells and CD8+ T cells in the thymus is critical to adaptive immunity and is widely studied as a model of lineage commitment. Recognition of self-peptide major histocompatibility complex (MHC) class I or II by the T cell antigen receptor (TCR) determines the CD8+ or CD4+ T cell lineage choice, respectively, but how distinct TCR signals drive transcriptional programs of lineage commitment remains largely unknown. Here we applied CITE-seq to measure RNA and surface proteins in thymocytes from wild-type and T cell lineage-restricted mice to generate a comprehensive timeline of cell states for each T cell lineage. These analyses identified a sequential process whereby all thymocytes initiate CD4+ T cell lineage differentiation during a first wave of TCR signaling, followed by a second TCR signaling wave that coincides with CD8+ T cell lineage specification. CITE-seq and pharmaceutical inhibition experiments implicated a TCR-calcineurin-NFAT-GATA3 axis in driving the CD4+ T cell fate. Our data provide a resource for understanding cell fate decisions and implicate a sequential selection process in guiding lineage choice.
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Affiliation(s)
- Zoë Steier
- University of California, Berkeley, Department of Bioengineering, Berkeley, CA, USA
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA
- Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Dominik A Aylard
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Laura L McIntyre
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Isabel Baldwin
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Esther Jeong Yoon Kim
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Lydia K Lutes
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Can Ergen
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA
- University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA
| | | | - Ellen A Robey
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA.
| | - Nir Yosef
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA.
- University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA.
- Weizmann Institute of Science, Department of Systems Immunology, Rehovot, Israel.
| | - Aaron Streets
- University of California, Berkeley, Department of Bioengineering, Berkeley, CA, USA.
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA.
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA.
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
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18
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Keita S, Diop S, Lekiashvili S, Chabaane E, Nelson E, Strullu M, Arfeuille C, Guimiot F, Domet T, Duchez S, Evrard B, Darde T, Larghero J, Verhoeyen E, Cumano A, Macintyre EA, Kasraian Z, Jouen F, Goodhardt M, Garrick D, Chalmel F, Alhaj Hussen K, Canque B. Distinct subsets of multi-lymphoid progenitors support ontogeny-related changes in human lymphopoiesis. Cell Rep 2023; 42:112618. [PMID: 37294633 DOI: 10.1016/j.celrep.2023.112618] [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: 02/16/2023] [Revised: 04/13/2023] [Accepted: 05/22/2023] [Indexed: 06/11/2023] Open
Abstract
Changes in lymphocyte production patterns occurring across human ontogeny remain poorly defined. In this study, we demonstrate that human lymphopoiesis is supported by three waves of embryonic, fetal, and postnatal multi-lymphoid progenitors (MLPs) differing in CD7 and CD10 expression and their output of CD127-/+ early lymphoid progenitors (ELPs). In addition, our results reveal that, like the fetal-to-adult switch in erythropoiesis, transition to postnatal life coincides with a shift from multilineage to B lineage-biased lymphopoiesis and an increase in production of CD127+ ELPs, which persists until puberty. A further developmental transition is observed in elderly individuals whereby B cell differentiation bypasses the CD127+ compartment and branches directly from CD10+ MLPs. Functional analyses indicate that these changes are determined at the level of hematopoietic stem cells. These findings provide insights for understanding identity and function of human MLPs and the establishment and maintenance of adaptative immunity.
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Affiliation(s)
- Seydou Keita
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - Samuel Diop
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France; Laboratoire Cognitions Humaine et Artificielle (CHArt) EA 4004 FED 4246, École Pratique des Hautes Études/PSL Research University, Paris, France
| | - Shalva Lekiashvili
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - Emna Chabaane
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - Elisabeth Nelson
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - Marion Strullu
- Service d'Hémato-Immunologie Pédiatrique, Inserm U1131, Université de Paris, Hôpital Robert-Debré, AP-HP, Paris, France
| | - Chloé Arfeuille
- Service d'Hémato-Immunologie Pédiatrique, Inserm U1131, Université de Paris, Hôpital Robert-Debré, AP-HP, Paris, France
| | - Fabien Guimiot
- INSERM UMR 1141, Service de Biologie du Développement, Université de Paris, Hôpital Robert-Debré, AP-HP, Paris, France
| | - Thomas Domet
- AP-HP, Hôpital Saint-Louis, Unité de Thérapie Cellulaire, CIC de Biothérapies, Université de Paris, INSERM U976, Paris, France
| | - Sophie Duchez
- Plateforme d'Imagerie et de Tri Cellulaire, Institut de Recherche Saint Louis, Paris, France
| | - Bertrand Evrard
- INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, University Rennes, Rennes, France
| | | | - Jerome Larghero
- AP-HP, Hôpital Saint-Louis, Unité de Thérapie Cellulaire, CIC de Biothérapies, Université de Paris, INSERM U976, Paris, France
| | - Els Verhoeyen
- CIRI, International Center for Infectiology Research, Université de Lyon, INSERM U1111, Lyon, France; Centre Mediterranéen de Médecine Moléculaire (C3M), INSERM U1065, Nice, France
| | - Ana Cumano
- Unit of Lymphopoiesis, Immunology Department, Institut Pasteur, Paris, France
| | - Elizabeth A Macintyre
- Institut Necker Enfants-Malades, Team 2, INSERM Unité 1151, Hôpital Necker Enfants-Malades, Laboratoire d'Onco-Hématologie, Assistance Publique-Hôpitaux de Paris (AP-HP), Université de Paris, Paris, France
| | - Zeinab Kasraian
- Institut Necker Enfants-Malades, Team 2, INSERM Unité 1151, Hôpital Necker Enfants-Malades, Laboratoire d'Onco-Hématologie, Assistance Publique-Hôpitaux de Paris (AP-HP), Université de Paris, Paris, France
| | - François Jouen
- Laboratoire Cognitions Humaine et Artificielle (CHArt) EA 4004 FED 4246, École Pratique des Hautes Études/PSL Research University, Paris, France
| | - Michele Goodhardt
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - David Garrick
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France
| | - Frederic Chalmel
- INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, University Rennes, Rennes, France
| | - Kutaiba Alhaj Hussen
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France; Service de Biochimie, Université de Paris Saclay, Hôpital Paul Brousse, AP-HP, Paris, France.
| | - Bruno Canque
- INSERM U976, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut de Recherche Saint Louis, Paris, France.
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19
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Kim Y, Greenleaf WJ, Bendall SC. Systems biology approaches to unravel lymphocyte subsets and function. Curr Opin Immunol 2023; 82:102323. [PMID: 37028221 PMCID: PMC10330158 DOI: 10.1016/j.coi.2023.102323] [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: 02/02/2023] [Revised: 03/11/2023] [Accepted: 03/13/2023] [Indexed: 04/09/2023]
Abstract
Single-cell technologies have revealed the extensive heterogeneity and complexity of the immune system. Systems biology approaches in immunology have taken advantage of the high-parameter, high-throughput data and analyzed immune cell types in a 'bottom-up' data-driven method. This approach has discovered previously unrecognized cell types and functions. Especially for human immunology, in which experimental manipulations are challenging, systems approach has become a successful means to investigate physiologically relevant contexts. This review focuses on the recent findings in lymphocyte biology, from their development, differentiation into subsets, and heterogeneity in their functions, enabled by these systems approaches. Furthermore, we review examples of the application of findings from systems approach studies and discuss how now to leave the rich dataset in the curse of high dimensionality.
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Affiliation(s)
- YeEun Kim
- Immunology Graduate Program, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA
| | | | - Sean C Bendall
- Department of Pathology, Stanford University, Stanford, CA, USA.
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20
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MacNabb BW, Rothenberg EV. Speed and navigation control of thymocyte development by the fetal T-cell gene regulatory network. Immunol Rev 2023; 315:171-196. [PMID: 36722494 PMCID: PMC10771342 DOI: 10.1111/imr.13190] [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] [Indexed: 02/02/2023]
Abstract
T-cell differentiation is a tightly regulated developmental program governed by interactions between transcription factors (TFs) and chromatin landscapes and affected by signals received from the thymic stroma. This process is marked by a series of checkpoints: T-lineage commitment, T-cell receptor (TCR)β selection, and positive and negative selection. Dynamically changing combinations of TFs drive differentiation along the T-lineage trajectory, through mechanisms that have been most extensively dissected in adult mouse T-lineage cells. However, fetal T-cell development differs from adult in ways that suggest that these TF mechanisms are not fully deterministic. The first wave of fetal T-cell differentiation occurs during a unique developmental window during thymic morphogenesis, shows more rapid kinetics of differentiation with fewer rounds of cell division, and gives rise to unique populations of innate lymphoid cells (ILCs) and invariant γδT cells that are not generated in the adult thymus. As the characteristic kinetics and progeny biases are cell-intrinsic properties of thymic progenitors, the differences could be based on distinct TF network circuitry within the progenitors themselves. Here, we review recent single-cell transcriptome data that illuminate the TF networks involved in T-cell differentiation in the fetal and adult mouse thymus.
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Affiliation(s)
- Brendan W MacNabb
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, California, USA
| | - Ellen V Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, California, USA
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21
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Stankiewicz LN, Salim K, Flaschner EA, Wang YX, Edgar JM, Lin BZB, Bingham GC, Major MC, Jones RD, Blau HM, Rideout EJ, Levings MK, Zandstra PW, Rossi FMV. Sex biased human thymic architecture guides T cell development through spatially defined niches. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.13.536804. [PMID: 37090676 PMCID: PMC10120731 DOI: 10.1101/2023.04.13.536804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Within the thymus, regulation of the cellular cross-talk directing T cell development is dependent on spatial interactions within specialized niches. To create a holistic, spatially defined map of tissue niches guiding postnatal T cell development we employed the multidimensional imaging platform CO-detection by indEXing (CODEX), as well as CITE-seq and ATAC-seq. We generated age-matched 4-5-month-old postnatal thymus datasets for male and female donors, and identify significant sex differences in both T cell and thymus biology. We demonstrate a crucial role for JAG ligands in directing thymic-like dendritic cell development, reveal important functions of a novel population of ECM- fibroblasts, and characterize the medullary niches surrounding Hassall's corpuscles. Together, these data represent a unique age-matched spatial multiomic resource to investigate how sex-based differences in thymus regulation and T cell development arise, and provide an essential resource to understand the mechanisms underlying immune function and dysfunction in males and females.
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Affiliation(s)
| | - Kevin Salim
- Department of Surgery, University of British Columbia, Canada
- BC Children’s Hospital Research Institute, Canada
| | - Emily A Flaschner
- School of Biomedical Engineering, University of British Columbia, Canada
| | - Yu Xin Wang
- Center for Genetic Disorders and Aging, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA
| | - John M Edgar
- School of Biomedical Engineering, University of British Columbia, Canada
| | - Bruce ZB Lin
- School of Biomedical Engineering, University of British Columbia, Canada
| | - Grace C Bingham
- Department of Biomedical Engineering, University of Virginia, USA
| | - Matthew C Major
- School of Biomedical Engineering, University of British Columbia, Canada
| | - Ross D Jones
- School of Biomedical Engineering, University of British Columbia, Canada
| | - Helen M Blau
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, USA
| | | | - Megan K Levings
- School of Biomedical Engineering, University of British Columbia, Canada
- Department of Surgery, University of British Columbia, Canada
- BC Children’s Hospital Research Institute, Canada
| | - Peter W Zandstra
- School of Biomedical Engineering, University of British Columbia, Canada
- Michael Smith Laboratories, University of British Columbia, Canada
- These authors contributed equally
- Lead contact
| | - Fabio MV Rossi
- School of Biomedical Engineering, University of British Columbia, Canada
- These authors contributed equally
- Lead contact
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22
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Michaels YS, Durland LJ, Zandstra PW. Engineering T Cell Development for the Next Generation of Stem Cell-Derived Immunotherapies. GEN BIOTECHNOLOGY 2023; 2:106-119. [PMID: 37928777 PMCID: PMC10624212 DOI: 10.1089/genbio.2023.0008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 03/31/2023] [Indexed: 11/07/2023]
Abstract
Engineered T cells are at the leading edge of clinical cell therapy. T cell therapies have had a remarkable impact on patient care for a subset of hematological malignancies. This foundation has motivated the development of off-the-shelf engineered cell therapies for a broad range of devastating indications. Achieving this vision will require cost-effective manufacturing of precision cell products capable of addressing multiple process and clinical-design challenges. Pluripotent stem cell (PSC)-derived engineered T cells are emerging as a solution of choice. To unleash the full potential of PSC-derived T cell therapies, the field will require technologies capable of robustly orchestrating the complex series of time- and dose-dependent signaling events needed to recreate functional T cell development in the laboratory. In this article, we review the current state of allogenic T cell therapies, focusing on strategies to generate engineered lymphoid cells from PSCs. We highlight exciting recent progress in this field and outline timely opportunities for advancement with an emphasis on niche engineering and synthetic biology.
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Affiliation(s)
- Yale S. Michaels
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada; University of British Columbia, Vancouver, Canada
- Department of Biochemistry and Medical Genetics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; University of British Columbia, Vancouver, Canada
- CancerCare Manitoba Research Institute, CancerCare Manitoba, Winnipeg, Canada; and University of British Columbia, Vancouver, Canada
| | - Lauren J. Durland
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada; University of British Columbia, Vancouver, Canada
| | - Peter W. Zandstra
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada; University of British Columbia, Vancouver, Canada
- Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
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23
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Lin Y, Li Y, Chen H, Meng J, Li J, Chu J, Zheng R, Wang H, Pan P, Su J, Jiang J, Ye L, Liang H, An S. Weighted gene co-expression network analysis revealed T cell differentiation associated with the age-related phenotypes in COVID-19 patients. BMC Med Genomics 2023; 16:59. [PMID: 36966292 PMCID: PMC10039774 DOI: 10.1186/s12920-023-01490-2] [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: 10/19/2022] [Accepted: 03/15/2023] [Indexed: 03/27/2023] Open
Abstract
The risk of severe condition caused by Corona Virus Disease 2019 (COVID-19) increases with age. However, the underlying mechanisms have not been clearly understood. The dataset GSE157103 was used to perform weighted gene co-expression network analysis on 100 COVID-19 patients in our analysis. Through weighted gene co-expression network analysis, we identified a key module which was significantly related with age. This age-related module could predict Intensive Care Unit status and mechanical-ventilation usage, and enriched with positive regulation of T cell receptor signaling pathway biological progress. Moreover, 10 hub genes were identified as crucial gene of the age-related module. Protein-protein interaction network and transcription factors-gene interactions were established. Lastly, independent data sets and RT-qPCR were used to validate the key module and hub genes. Our conclusion revealed that key genes were associated with the age-related phenotypes in COVID-19 patients, and it would be beneficial for clinical doctors to develop reasonable therapeutic strategies in elderly COVID-19 patients.
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Affiliation(s)
- Yao Lin
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yueqi Li
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Hubin Chen
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jun Meng
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jingyi Li
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jiemei Chu
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Ruili Zheng
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Hailong Wang
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Peijiang Pan
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jinming Su
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Junjun Jiang
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Li Ye
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Hao Liang
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Biosafety Level 3 Laboratory and Guangxi Collaborative Innovation Centre for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Sanqi An
- Medical Laboratory Centre, Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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24
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Reading the Ts and DCs of thymopoiesis. Nat Immunol 2023; 24:385-386. [PMID: 36829070 DOI: 10.1038/s41590-023-01439-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
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25
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Dendritic cell--biased precursors support early human thymopoiesis. Nat Immunol 2023; 24:389-390. [PMID: 36737626 DOI: 10.1038/s41590-023-01421-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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26
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Intrathymic dendritic cell-biased precursors promote human T cell lineage specification through IRF8-driven transmembrane TNF. Nat Immunol 2023; 24:474-486. [PMID: 36703005 DOI: 10.1038/s41590-022-01417-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/16/2022] [Indexed: 01/27/2023]
Abstract
The cross-talk between thymocytes and thymic stromal cells is fundamental for T cell development. In humans, intrathymic development of dendritic cells (DCs) is evident but its physiological significance is unknown. Here we showed that DC-biased precursors depended on the expression of the transcription factor IRF8 to express the membrane-bound precursor form of the cytokine TNF (tmTNF) to promote differentiation of thymus seeding hematopoietic progenitors into T-lineage specified precursors through activation of the TNF receptor (TNFR)-2 instead of TNFR1. In vitro recapitulation of TNFR2 signaling by providing low-density tmTNF or a selective TNFR2 agonist enhanced the generation of human T cell precursors. Our study shows that, in addition to mediating thymocyte selection and maturation, DCs function as hematopoietic stromal support for the early stages of human T cell development and provide proof of concept that selective targeting of TNFR2 can enhance the in vitro generation of T cell precursors for clinical application.
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27
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Watson SA, Javanmardi Y, Zanieri L, Shahreza S, Ragazzini R, Bonfanti P, Moeendarbary E. Integrated role of human thymic stromal cells in hematopoietic stem cell extravasation. Bioeng Transl Med 2023; 8:e10454. [PMID: 36925684 PMCID: PMC10013751 DOI: 10.1002/btm2.10454] [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: 06/10/2022] [Revised: 11/03/2022] [Accepted: 11/09/2022] [Indexed: 11/19/2022] Open
Abstract
The human thymus is the site of T-cell maturation and induction of central tolerance. Hematopoietic stem cell (HSC)-derived progenitors are recruited to the thymus from the fetal liver during early prenatal development and from bone marrow at later stages and postnatal life. The mechanism by which HSCs are recruited to the thymus is poorly understood in humans, though mouse models have indicated the critical role of thymic stromal cells (TSC). Here, we developed a 3D microfluidic assay based on human cells to model HSC extravasation across the endothelium into the extracellular matrix. We found that the presence of human TSC consisting of cultured thymic epithelial cells (TEC) and interstitial cells (TIC) increases the HSC extravasation rates by 3-fold. Strikingly, incorporating TEC or TIC alone is insufficient to perturb HSC extravasation rates. Furthermore, we identified complex gene expressions from interactions between endothelial cells, TEC and TIC modulates the HSCs extravasation. Our results suggest that comprehensive signaling from the complex thymic microenvironment is crucial for thymus seeding and that our system will allow manipulation of these signals with the potential to increase thymocyte migration in a therapeutic setting.
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Affiliation(s)
- Sara A. Watson
- Department of Mechanical EngineeringUCLLondonUK
- Epithelial Stem Cell Biology and Regenerative Medicine LabThe Francis Crick InstituteLondonUK
| | | | - Luca Zanieri
- Epithelial Stem Cell Biology and Regenerative Medicine LabThe Francis Crick InstituteLondonUK
- Institute of Immunity and TransplantationDivision of Infection & Immunity, UCLLondonUK
| | | | - Roberta Ragazzini
- Epithelial Stem Cell Biology and Regenerative Medicine LabThe Francis Crick InstituteLondonUK
- Institute of Immunity and TransplantationDivision of Infection & Immunity, UCLLondonUK
| | - Paola Bonfanti
- Epithelial Stem Cell Biology and Regenerative Medicine LabThe Francis Crick InstituteLondonUK
- Institute of Immunity and TransplantationDivision of Infection & Immunity, UCLLondonUK
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28
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Shin B, Rothenberg EV. Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells. Front Immunol 2023; 14:1108368. [PMID: 36817475 PMCID: PMC9928580 DOI: 10.3389/fimmu.2023.1108368] [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: 11/26/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
T cells develop from multipotent progenitors by a gradual process dependent on intrathymic Notch signaling and coupled with extensive proliferation. The stages leading them to T-cell lineage commitment are well characterized by single-cell and bulk RNA analyses of sorted populations and by direct measurements of precursor-product relationships. This process depends not only on Notch signaling but also on multiple transcription factors, some associated with stemness and multipotency, some with alternative lineages, and others associated with T-cell fate. These factors interact in opposing or semi-independent T cell gene regulatory network (GRN) subcircuits that are increasingly well defined. A newly comprehensive picture of this network has emerged. Importantly, because key factors in the GRN can bind to markedly different genomic sites at one stage than they do at other stages, the genes they significantly regulate are also stage-specific. Global transcriptome analyses of perturbations have revealed an underlying modular structure to the T-cell commitment GRN, separating decisions to lose "stem-ness" from decisions to block alternative fates. Finally, the updated network sheds light on the intimate relationship between the T-cell program, which depends on the thymus, and the innate lymphoid cell (ILC) program, which does not.
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Affiliation(s)
- Boyoung Shin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Ellen V. Rothenberg
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
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29
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Heimli M, Flåm ST, Hjorthaug HS, Trinh D, Frisk M, Dumont KA, Ribarska T, Tekpli X, Saare M, Lie BA. Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection. Front Immunol 2023; 13:1092028. [PMID: 36741401 PMCID: PMC9895842 DOI: 10.3389/fimmu.2022.1092028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 12/22/2022] [Indexed: 01/22/2023] Open
Abstract
To prevent autoimmunity, thymocytes expressing self-reactive T cell receptors (TCRs) are negatively selected, however, divergence into tolerogenic, agonist selected lineages represent an alternative fate. As thymocyte development, selection, and lineage choices are dependent on spatial context and cell-to-cell interactions, we have performed Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) and spatial transcriptomics on paediatric human thymus. Thymocytes expressing markers of strong TCR signalling diverged from the conventional developmental trajectory prior to CD4+ or CD8+ lineage commitment, while markers of different agonist selected T cell populations (CD8αα(I), CD8αα(II), T(agonist), Treg(diff), and Treg) exhibited variable timing of induction. Expression profiles of chemokines and co-stimulatory molecules, together with spatial localisation, supported that dendritic cells, B cells, and stromal cells contribute to agonist selection, with different subsets influencing thymocytes at specific developmental stages within distinct spatial niches. Understanding factors influencing agonist T cells is needed to benefit from their immunoregulatory effects in clinical use.
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Affiliation(s)
- Marte Heimli
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Siri Tennebø Flåm
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | | | - Don Trinh
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Michael Frisk
- Institute for Experimental Medical Research, Oslo University Hospital, University of Oslo, Oslo, Norway,KG Jebsen Centre for Cardiac Research, University of Oslo, Oslo, Norway
| | - Karl-Andreas Dumont
- Department of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway
| | - Teodora Ribarska
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Xavier Tekpli
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Mario Saare
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Benedicte Alexandra Lie
- Department of Medical Genetics, Oslo University Hospital, University of Oslo, Oslo, Norway,*Correspondence: Benedicte Alexandra Lie,
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30
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Deng W, Li B, Wang J, Jiang W, Yan X, Li N, Vukmirovic M, Kaminski N, Wang J, Zhao H. A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy. Brief Bioinform 2023; 24:bbac616. [PMID: 36631398 PMCID: PMC9851324 DOI: 10.1093/bib/bbac616] [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: 10/19/2022] [Revised: 11/28/2022] [Accepted: 12/14/2022] [Indexed: 01/13/2023] Open
Abstract
Computational cell type deconvolution on bulk transcriptomics data can reveal cell type proportion heterogeneity across samples. One critical factor for accurate deconvolution is the reference signature matrix for different cell types. Compared with inferring reference signature matrices from cell lines, rapidly accumulating single-cell RNA-sequencing (scRNA-seq) data provide a richer and less biased resource. However, deriving cell type signature from scRNA-seq data is challenging due to high biological and technical noises. In this article, we introduce a novel Bayesian framework, tranSig, to improve signature matrix inference from scRNA-seq by leveraging shared cell type-specific expression patterns across different tissues and studies. Our simulations show that tranSig is robust to the number of signature genes and tissues specified in the model. Applications of tranSig to bulk RNA sequencing data from peripheral blood, bronchoalveolar lavage and aorta demonstrate its accuracy and power to characterize biological heterogeneity across groups. In summary, tranSig offers an accurate and robust approach to defining gene expression signatures of different cell types, facilitating improved in silico cell type deconvolutions.
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Affiliation(s)
- Wenxuan Deng
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA
| | - Bolun Li
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China
| | - Jiawei Wang
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA
| | - Wei Jiang
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA
| | - Xiting Yan
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Ningshan Li
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Milica Vukmirovic
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St., ON, Canada
| | - Naftali Kaminski
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Jing Wang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA
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31
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Cordes M, Pike-Overzet K, Van Den Akker EB, Staal FJT, Canté-Barrett K. Multi-omic analyses in immune cell development with lessons learned from T cell development. Front Cell Dev Biol 2023; 11:1163529. [PMID: 37091971 PMCID: PMC10118026 DOI: 10.3389/fcell.2023.1163529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/29/2023] [Indexed: 04/25/2023] Open
Abstract
Traditionally, flow cytometry has been the preferred method to characterize immune cells at the single-cell level. Flow cytometry is used in immunology mostly to measure the expression of identifying markers on the cell surface, but-with good antibodies-can also be used to assess the expression of intracellular proteins. The advent of single-cell RNA-sequencing has paved the road to study immune development at an unprecedented resolution. Single-cell RNA-sequencing studies have not only allowed us to efficiently chart the make-up of heterogeneous tissues, including their most rare cell populations, it also increasingly contributes to our understanding how different omics modalities interplay at a single cell resolution. Particularly for investigating the immune system, this means that these single-cell techniques can be integrated to combine and correlate RNA and protein data at the single-cell level. While RNA data usually reveals a large heterogeneity of a given population identified solely by a combination of surface protein markers, the integration of different omics modalities at a single cell resolution is expected to greatly contribute to our understanding of the immune system.
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Affiliation(s)
- Martijn Cordes
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Karin Pike-Overzet
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Erik B. Van Den Akker
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
- Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, Netherlands
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, Netherlands
| | - Frank J. T. Staal
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, Netherlands
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
- *Correspondence: Frank J. T. Staal,
| | - Kirsten Canté-Barrett
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, Netherlands
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32
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Bosselut R. Genetic Strategies to Study T Cell Development. Methods Mol Biol 2023; 2580:117-130. [PMID: 36374453 PMCID: PMC10803070 DOI: 10.1007/978-1-0716-2740-2_6] [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] [Indexed: 06/16/2023]
Abstract
Genetics approaches have been instrumental to deciphering T cell development in the thymus, including gene disruption by homologous recombination and more recently Crispr-based gene editing and transgenic gene expression, especially of specific T cell antigen receptors (TCR). This brief chapter describes commonly used tools and strategies to modify the genome of thymocytes, including mouse strains with lineage- and stage-specific expression of the Cre recombinase used for conditional allele inactivation or expressing unique antigen receptor specificities.
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Affiliation(s)
- Rémy Bosselut
- Laboratory of Immune Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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33
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Van de Walle I, Lambrechts N, Derveeuw A, Lavaert M, Roels J, Taghon T. Identification and Purification of Human T Cell Precursors. Methods Mol Biol 2023; 2580:315-333. [PMID: 36374467 DOI: 10.1007/978-1-0716-2740-2_20] [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] [Indexed: 06/16/2023]
Abstract
During their development, human T cells undergo similar genomic changes and pass through the same developmental checkpoints as developing thymocytes in the mouse. The difference between both species, however, is that some of these developmental stages are characterized by different phenotypic markers, and as a result, evidence emerges that the molecular regulation of human T cell development subtly differs from the mouse (Taghon et al., Curr Top Microbiol Immunol 360:75-97, 2021; Haddad et al., Immunity 24:217-230, 2006; Hao et al., Blood 111:1318-1326, 2008; Taghon and Rothenberg, Semin Immunopathol 30:383-398, 2008). In this chapter, we describe in detail how the different stages of human T cell development can be characterized and isolated using specific surface markers.
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Affiliation(s)
- Inge Van de Walle
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Nina Lambrechts
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Anaïs Derveeuw
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Marieke Lavaert
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Juliette Roels
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Tom Taghon
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium.
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34
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Generation of CD34 +CD43 + Hematopoietic Progenitors to Induce Thymocytes from Human Pluripotent Stem Cells. Cells 2022; 11:cells11244046. [PMID: 36552810 PMCID: PMC9777438 DOI: 10.3390/cells11244046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 12/15/2022] Open
Abstract
Immunotherapy using primary T cells has revolutionized medical care in some pathologies in recent years, but limitations associated to challenging cell genome edition, insufficient cell number production, the use of only autologous cells, and the lack of product standardization have limited its clinical use. The alternative use of T cells generated in vitro from human pluripotent stem cells (hPSCs) offers great advantages by providing a self-renewing source of T cells that can be readily genetically modified and facilitate the use of standardized universal off-the-shelf allogeneic cell products and rapid clinical access. However, despite their potential, a better understanding of the feasibility and functionality of T cells differentiated from hPSCs is necessary before moving into clinical settings. In this study, we generated human-induced pluripotent stem cells from T cells (T-iPSCs), allowing for the preservation of already recombined TCR, with the same properties as human embryonic stem cells (hESCs). Based on these cells, we differentiated, with high efficiency, hematopoietic progenitor stem cells (HPSCs) capable of self-renewal and differentiation into any cell blood type, in addition to DN3a thymic progenitors from several T-iPSC lines. In order to better comprehend the differentiation, we analyzed the transcriptomic profiles of the different cell types and demonstrated that HPSCs differentiated from hiPSCs had very similar profiles to cord blood hematopoietic stem cells (HSCs). Furthermore, differentiated T-cell progenitors had a similar profile to thymocytes at the DN3a stage of thymic lymphopoiesis. Therefore, utilizing this approach, we were able to regenerate precursors of therapeutic human T cells in order to potentially treat a wide range of diseases.
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35
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Cordes M, Canté-Barrett K, van den Akker EB, Moretti FA, Kiełbasa SM, Vloemans SA, Garcia-Perez L, Teodosio C, van Dongen JJM, Pike-Overzet K, Reinders MJT, Staal FJT. Single-cell immune profiling reveals thymus-seeding populations, T cell commitment, and multilineage development in the human thymus. Sci Immunol 2022; 7:eade0182. [DOI: 10.1126/sciimmunol.ade0182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
T cell development in the mouse thymus has been studied extensively, but less is known regarding T cell development in the human thymus. We used a combination of single-cell techniques and functional assays to perform deep immune profiling of human T cell development, focusing on the initial stages of prelineage commitment. We identified three thymus-seeding progenitor populations that also have counterparts in the bone marrow. In addition, we found that the human thymus physiologically supports the development of monocytes, dendritic cells, and NK cells, as well as limited development of B cells. These results are an important step toward monitoring and guiding regenerative therapies in patients after hematopoietic stem cell transplantation.
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Affiliation(s)
- Martijn Cordes
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands
| | - Kirsten Canté-Barrett
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Netherlands
| | - Erik B. van den Akker
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Federico A. Moretti
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Szymon M. Kiełbasa
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Sandra A. Vloemans
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Laura Garcia-Perez
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS), Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS), Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Karin Pike-Overzet
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Marcel J. T. Reinders
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
| | - Frank J. T. Staal
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Netherlands
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
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36
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Identification of distinct functional thymic programming of fetal and pediatric human γδ thymocytes via single-cell analysis. Nat Commun 2022; 13:5842. [PMID: 36195611 PMCID: PMC9532436 DOI: 10.1038/s41467-022-33488-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/21/2022] [Indexed: 12/12/2022] Open
Abstract
Developmental thymic waves of innate-like and adaptive-like γδ T cells have been described, but the current understanding of γδ T cell development is mainly limited to mouse models. Here, we combine single cell (sc) RNA gene expression and sc γδ T cell receptor (TCR) sequencing on fetal and pediatric γδ thymocytes in order to understand the ontogeny of human γδ T cells. Mature fetal γδ thymocytes (both the Vγ9Vδ2 and nonVγ9Vδ2 subsets) are committed to either a type 1, a type 3 or a type 2-like effector fate displaying a wave-like pattern depending on gestation age, and are enriched for public CDR3 features upon maturation. Strikingly, these effector modules express different CDR3 sequences and follow distinct developmental trajectories. In contrast, the pediatric thymus generates only a small effector subset that is highly biased towards Vγ9Vδ2 TCR usage and shows a mixed type 1/type 3 effector profile. Thus, our combined dataset of gene expression and detailed TCR information at the single-cell level identifies distinct functional thymic programming of γδ T cell immunity in human. Knowledge about the ontogeny of T cells in the thymus relies heavily on mouse studies because of difficulty to obtain human material. Here the authors perform a single cell analysis of thymocytes from human fetal and paediatric thymic samples to characterise the development of human γδ T cells in the thymus.
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Roels J, Van Hulle J, Lavaert M, Kuchmiy A, Strubbe S, Putteman T, Vandekerckhove B, Leclercq G, Van Nieuwerburgh F, Boehme L, Taghon T. Transcriptional dynamics and epigenetic regulation of E and ID protein encoding genes during human T cell development. Front Immunol 2022; 13:960918. [PMID: 35967340 PMCID: PMC9366357 DOI: 10.3389/fimmu.2022.960918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/05/2022] [Indexed: 12/05/2022] Open
Abstract
T cells are generated from hematopoietic stem cells through a highly organized developmental process, in which stage-specific molecular events drive maturation towards αβ and γδ T cells. Although many of the mechanisms that control αβ- and γδ-lineage differentiation are shared between human and mouse, important differences have also been observed. Here, we studied the regulatory dynamics of the E and ID protein encoding genes during pediatric human T cell development by evaluating changes in chromatin accessibility, histone modifications and bulk and single cell gene expression. We profiled patterns of ID/E protein activity and identified up- and downstream regulators and targets, respectively. In addition, we compared transcription of E and ID protein encoding genes in human versus mouse to predict both shared and unique activities in these species, and in prenatal versus pediatric human T cell differentiation to identify regulatory changes during development. This analysis showed a putative involvement of TCF3/E2A in the development of γδ T cells. In contrast, in αβ T cell precursors a pivotal pre-TCR-driven population with high ID gene expression and low predicted E protein activity was identified. Finally, in prenatal but not postnatal thymocytes, high HEB/TCF12 levels were found to counteract high ID levels to sustain thymic development. In summary, we uncovered novel insights in the regulation of E and ID proteins on a cross-species and cross-developmental level.
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MESH Headings
- Animals
- Cell Differentiation/genetics
- Child
- Epigenesis, Genetic
- Hematopoietic Stem Cells/metabolism
- Humans
- Mice
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Transcription Factors/metabolism
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Affiliation(s)
- Juliette Roels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Jolien Van Hulle
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Marieke Lavaert
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Anna Kuchmiy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Steven Strubbe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tom Putteman
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Bart Vandekerckhove
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Georges Leclercq
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Filip Van Nieuwerburgh
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
| | - Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- *Correspondence: Lena Boehme, ; Tom Taghon,
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- *Correspondence: Lena Boehme, ; Tom Taghon,
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38
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Gaudeaux P, Moirangthem RD, Bauquet A, Simons L, Joshi A, Cavazzana M, Nègre O, Soheili S, André I. T-Cell Progenitors As A New Immunotherapy to Bypass Hurdles of Allogeneic Hematopoietic Stem Cell Transplantation. Front Immunol 2022; 13:956919. [PMID: 35874778 PMCID: PMC9300856 DOI: 10.3389/fimmu.2022.956919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Allogeneic hematopoietic stem cell transplantation (HSCT) is the treatment of preference for numerous malignant and non-malignant hemopathies. The outcome of this approach is significantly hampered by not only graft-versus-host disease (GvHD), but also infections and relapses that may occur because of persistent T-cell immunodeficiency following transplantation. Reconstitution of a functional T-cell repertoire can take more than 1 year. Thus, the major challenge in the management of allogeneic HSCT relies on the possibility of shortening the window of immune deficiency through the acceleration of T-cell recovery, with diverse, self-tolerant, and naïve T cells resulting from de novo thymopoiesis from the donor cells. In this context, adoptive transfer of cell populations that can give rise to mature T cells faster than HSCs while maintaining a safety profile compatible with clinical use is of major interest. In this review, we summarize current advances in the characterization of thymus seeding progenitors, and their ex vivo generated counterparts, T-cell progenitors. Transplantation of the latter has been identified as a worthwhile approach to shorten the period of immune deficiency in patients following allogeneic HSCT, and to fulfill the clinical objective of reducing morbimortality due to infections and relapses. We further discuss current opportunities for T-cell progenitor-based therapy manufacturing, including iPSC cell sources and off-the-shelf strategies. These opportunities will be analyzed in the light of results from ongoing clinical studies involving T-cell progenitors.
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Affiliation(s)
- Pierre Gaudeaux
- Human Lymphohematopoiesis Laboratory, Imagine Institute, INSERM UMR 1163, Université Paris Cité, Paris, France
- Smart Immune, Paris, France
| | - Ranjita Devi Moirangthem
- Human Lymphohematopoiesis Laboratory, Imagine Institute, INSERM UMR 1163, Université Paris Cité, Paris, France
| | | | - Laura Simons
- Smart Immune, Paris, France
- Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - Akshay Joshi
- Human Lymphohematopoiesis Laboratory, Imagine Institute, INSERM UMR 1163, Université Paris Cité, Paris, France
| | - Marina Cavazzana
- Smart Immune, Paris, France
- Department of Biotherapy, Hôpital Universitaire Necker-Enfants Malades, Groupe Hospitalier Paris Centre, Assistance Publique-Hôpitaux de Paris, Paris, France
- Biotherapy Clinical Investigation Center, Groupe Hospitalier Universitaire Paris Cité, Assistance Publique-Hôpitaux de Paris, INSERM CIC 1416, Paris, France
- Imagine Institute, Université Paris Cité, Paris, France
| | | | | | - Isabelle André
- Human Lymphohematopoiesis Laboratory, Imagine Institute, INSERM UMR 1163, Université Paris Cité, Paris, France
- *Correspondence: Isabelle André,
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Zhou W, Gao F, Romero-Wolf M, Jo S, Rothenberg EV. Single-cell deletion analyses show control of pro-T cell developmental speed and pathways by Tcf7, Spi1, Gata3, Bcl11a, Erg, and Bcl11b. Sci Immunol 2022; 7:eabm1920. [PMID: 35594339 PMCID: PMC9273332 DOI: 10.1126/sciimmunol.abm1920] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
As early T cell precursors transition from multipotentiality to T lineage commitment, they change expression of multiple transcription factors. It is unclear whether individual transcription factors directly control choices between T cell identity and some alternative fate or whether these factors mostly affect proliferation or survival during the normal commitment process. Here, we unraveled the impacts of deleting individual transcription factors at two stages in early T cell development, using synchronized in vitro differentiation systems, single-cell RNA-seq with batch indexing, and controlled gene-disruption strategies. First, using a customized method for single-cell CRISPR disruption, we defined how the early-acting transcription factors Bcl11a, Erg, Spi1 (PU.1), Gata3, and Tcf7 (TCF1) function before commitment. The results revealed a kinetic tug of war within individual cells between T cell factors Tcf7 and Gata3 and progenitor factors Spi1 and Bcl11a, with an unexpected guidance role for Erg. Second, we tested how activation of transcription factor Bcl11b during commitment altered ongoing cellular programs. In knockout cells where Bcl11b expression was prevented, the cells did not undergo developmental arrest, instead following an alternative path as T lineage commitment was blocked. A stepwise, time-dependent regulatory cascade began with immediate-early transcription factor activation and E protein inhibition, finally leading Bcl11b knockout cells toward exit from the T cell pathway. Last, gene regulatory networks of transcription factor cross-regulation were extracted from the single-cell transcriptome results, characterizing the specification network operating before T lineage commitment and revealing its links to both the Bcl11b knockout alternative network and the network consolidating T cell identity during commitment.
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Affiliation(s)
- Wen Zhou
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125 USA
- Program in Biochemistry and Molecular Biophysics, California Institute of Technology
- Current address: BillionToOne, Menlo Park, CA
| | - Fan Gao
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125 USA
- Caltech Bioinformatics Resource Center, Beckman Institute of Caltech
| | - Maile Romero-Wolf
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125 USA
- Current address: Center for Stem Cell Biology and Regenerative Medicine, University of Southern California
| | - Suin Jo
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125 USA
- Current address: Washington University of St. Louis
| | - Ellen V. Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125 USA
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40
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Mukherjee S, Kar A, Paul P, Dey S, Biswas A, Barik S. In Silico Integration of Transcriptome and Interactome Predicts an ETP-ALL-Specific Transcriptional Footprint that Decodes its Developmental Propensity. Front Cell Dev Biol 2022; 10:899752. [PMID: 35646901 PMCID: PMC9138408 DOI: 10.3389/fcell.2022.899752] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Early T precursor acute lymphoblastic leukemia (ETP-ALL) exhibits poor clinical outcomes and high relapse rates following conventional chemotherapeutic protocols. Extensive developmental flexibility of the multipotent ETP-ALL blasts with considerable intra-population heterogeneity in terms of immunophenotype and prognostic parameters might be a target for novel therapeutic interventions. Using a public gene expression dataset (GSE28703) from NCBI GEO DataSets with 12 ETP-ALL and 40 non-ETP-ALL samples, such heterogeneity was found to be reflected in their transcriptome as well. Hub genes were identified from the STRING-derived functional interaction network of genes showing differential expression between ETP-ALL and non-ETP-ALL as well as variable expression across ETP-ALL. Nine genes (KIT, HGF, NT5E, PROM1, CD33, ANPEP, CDH2, IL1B, and CXCL2) among the hubs were further validated as possible diagnostic ETP-ALL markers using another gene expression dataset (GSE78132) with 17 ETP-ALL and 27 non-ETP-ALL samples. Linear dimensionality reduction analysis with the expression levels of the hub genes in ETP-ALL revealed their divergent inclinations towards different hematopoietic lineages, proposing them as novel indicators of lineage specification in the incompletely differentiated ETP-ALL blasts. This further led to the formulation of a personalized lineage score calculation algorithm, which uncovered a considerable B-lineage-bias in a substantial fraction of ETP-ALL subjects from the GSE28703 and GSE78132 cohorts. In addition, STRING-derived physical interactome of the potential biomarkers displayed complete segregation of the B-lineage-skewed markers from other lineage-associated factors, highlighting their distinct functionality and possible druggability in ETP-ALL. A panel of these biomarkers might be useful in pinpointing the dominant lineage specification programmes in the ETP-ALL blasts on a personalized level, urging the development of novel lineage-directed precision therapies as well as repurposing of existing therapies against leukemia of different hematopoietic lineages; which might overcome the drawbacks of conventional chemotherapy.
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Affiliation(s)
- Soumyadeep Mukherjee
- Department of In Vitro Carcinogenesis and Cellular Chemotherapy, Chittaranjan National Cancer Institute, Kolkata, India
| | - Arpita Kar
- Department of Signal Transduction and Biogenic Amines, Chittaranjan National Cancer Institute, Kolkata, India
| | - Paramita Paul
- Department of In Vitro Carcinogenesis and Cellular Chemotherapy, Chittaranjan National Cancer Institute, Kolkata, India
| | - Souvik Dey
- Manipal Centre for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India
| | - Avik Biswas
- Department of Signal Transduction and Biogenic Amines, Chittaranjan National Cancer Institute, Kolkata, India
- *Correspondence: Avik Biswas, ; Subhasis Barik,
| | - Subhasis Barik
- Department of In Vitro Carcinogenesis and Cellular Chemotherapy, Chittaranjan National Cancer Institute, Kolkata, India
- *Correspondence: Avik Biswas, ; Subhasis Barik,
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41
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Canté-Barrett K, Meijer MT, Cordo' V, Hagelaar R, Yang W, Yu J, Smits WK, Nulle ME, Jansen JP, Pieters R, Yang JJ, Haigh JJ, Goossens S, Meijerink JP. MEF2C opposes Notch in lymphoid lineage decision and drives leukemia in the thymus. JCI Insight 2022; 7:150363. [PMID: 35536646 PMCID: PMC9310523 DOI: 10.1172/jci.insight.150363] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 05/04/2022] [Indexed: 11/25/2022] Open
Abstract
Rearrangements that drive ectopic MEF2C expression have recurrently been found in patients with human early thymocyte progenitor acute lymphoblastic leukemia (ETP-ALL). Here, we show high levels of MEF2C expression in patients with ETP-ALL. Using both in vivo and in vitro models of ETP-ALL, we demonstrate that elevated MEF2C expression blocks NOTCH-induced T cell differentiation while promoting a B-lineage program. MEF2C activates a B cell transcriptional program in addition to RUNX1, GATA3, and LMO2; upregulates the IL-7R; and boosts cell survival by upregulation of BCL2. MEF2C and the Notch pathway, therefore, demarcate opposite regulators of B- or T-lineage choices, respectively. Enforced MEF2C expression in mouse or human progenitor cells effectively blocks early T cell differentiation and promotes the development of biphenotypic lymphoid tumors that coexpress CD3 and CD19, resembling human mixed phenotype acute leukemia. Salt-inducible kinase (SIK) inhibitors impair MEF2C activity and alleviate the T cell developmental block. Importantly, this sensitizes cells to prednisolone treatment. Therefore, SIK-inhibiting compounds such as dasatinib are potentially valuable additions to standard chemotherapy for human ETP-ALL.
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Affiliation(s)
| | - Mariska T Meijer
- Princess Máxima Center for pediatric oncology, Utrecht, Netherlands
| | - Valentina Cordo'
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Rico Hagelaar
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Wentao Yang
- Department of Pharmaceutical Sciences, St. Jude Childen's Research Hospital, Memphis, United States of America
| | - Jiyang Yu
- Computational Biology Department, St. Jude Childen's Research Hospital, Memphis, United States of America
| | - Willem K Smits
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Marloes E Nulle
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Joris P Jansen
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Rob Pieters
- Pieters Group, Princess Máxima Center for pediatric oncology, Utrecht, Netherlands
| | - Jun J Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, United States of America
| | - Jody J Haigh
- Research Institute of Oncology and Hematology, University of Manitoba, Manitoba, Canada
| | - Steven Goossens
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Jules Pp Meijerink
- Meijerink Group, Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
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42
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Bao X, Qin Y, Lu L, Zheng M. Transcriptional Regulation of Early T-Lymphocyte Development in Thymus. Front Immunol 2022; 13:884569. [PMID: 35432347 PMCID: PMC9008359 DOI: 10.3389/fimmu.2022.884569] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 03/09/2022] [Indexed: 02/06/2023] Open
Abstract
T-lymphocytes play crucial roles for maintaining immune homeostasis by fighting against various pathogenic microorganisms and establishing self-antigen tolerance. They will go through several stages and checkpoints in the thymus from progenitors to mature T cells, from CD4-CD8- double negative (DN) cells to CD4+CD8+ double positive (DP) cells, finally become CD4+ or CD8+ single positive (SP) cells. The mature SP cells then emigrate out of the thymus and further differentiate into distinct subsets under different environment signals to perform specific functions. Each step is regulated by various transcriptional regulators downstream of T cell receptors (TCRs) that have been extensively studied both in vivo and vitro via multiple mouse models and advanced techniques, such as single cell RNA sequencing (scRNA-seq) and Chromatin Immunoprecipitation sequencing (ChIP-seq). This review will summarize the transcriptional regulators participating in the early stage of T cell development reported in the past decade, trying to figure out cascade networks in each process and provide possible research directions in the future.
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Affiliation(s)
- Xueyang Bao
- Department of Pathogenic Biology and Immunology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Yingyu Qin
- Department of Pathogenic Biology and Immunology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Linrong Lu
- Shanghai Immune Therapy Institute, Renji Hospital, Jiao Tong University School of Medicine, Shanghai, China.,Institute of Immunology, School of Medicine, Zhejiang University, Hangzhou, China
| | - Mingzhu Zheng
- Department of Pathogenic Biology and Immunology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
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43
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Wang M, Song WM, Ming C, Wang Q, Zhou X, Xu P, Krek A, Yoon Y, Ho L, Orr ME, Yuan GC, Zhang B. Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application. Mol Neurodegener 2022; 17:17. [PMID: 35236372 PMCID: PMC8889402 DOI: 10.1186/s13024-022-00517-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 01/18/2022] [Indexed: 12/13/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic studies have revealed biomarkers, risk factors, pathways, and targets of AD in the past decade. However, the exact molecular basis of AD development and progression remains elusive. The emerging single-cell sequencing technology can potentially provide cell-level insights into the disease. Here we systematically review the state-of-the-art bioinformatics approaches to analyze single-cell sequencing data and their applications to AD in 14 major directions, including 1) quality control and normalization, 2) dimension reduction and feature extraction, 3) cell clustering analysis, 4) cell type inference and annotation, 5) differential expression, 6) trajectory inference, 7) copy number variation analysis, 8) integration of single-cell multi-omics, 9) epigenomic analysis, 10) gene network inference, 11) prioritization of cell subpopulations, 12) integrative analysis of human and mouse sc-RNA-seq data, 13) spatial transcriptomics, and 14) comparison of single cell AD mouse model studies and single cell human AD studies. We also address challenges in using human postmortem and mouse tissues and outline future developments in single cell sequencing data analysis. Importantly, we have implemented our recommended workflow for each major analytic direction and applied them to a large single nucleus RNA-sequencing (snRNA-seq) dataset in AD. Key analytic results are reported while the scripts and the data are shared with the research community through GitHub. In summary, this comprehensive review provides insights into various approaches to analyze single cell sequencing data and offers specific guidelines for study design and a variety of analytic directions. The review and the accompanied software tools will serve as a valuable resource for studying cellular and molecular mechanisms of AD, other diseases, or biological systems at the single cell level.
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Affiliation(s)
- Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Won-min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Chen Ming
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Qian Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Peng Xu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Yonejung Yoon
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Lap Ho
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
| | - Miranda E. Orr
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina USA
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina USA
| | - Guo-Cheng Yuan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
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Abstract
TCF1 and its homologue LEF1 are historically known as effector transcription factors downstream of the WNT signalling pathway and are essential for early T cell development. Recent advances bring TCF1 into the spotlight for its versatile, context-dependent functions in regulating mature T cell responses. In the cytotoxic T cell lineages, TCF1 is required for the self-renewal of stem-like CD8+ T cells generated in response to viral or tumour antigens, and for preserving heightened responses to checkpoint blockade immunotherapy. In the helper T cell lineages, TCF1 is indispensable for the differentiation of T follicular helper and T follicular regulatory cells, and crucially regulates immunosuppressive functions of regulatory T cells. Mechanistic investigations have also identified TCF1 as the first transcription factor that directly modifies histone acetylation, with the capacity to bridge transcriptional and epigenetic regulation. TCF1 also has the potential to become an important clinical biomarker for assessing the prognosis of tumour immunotherapy and the success of viral control in treating HIV and hepatitis C virus infection. Here, we summarize the key findings on TCF1 across the fields of T cell immunity and reflect on the possibility of exploring TCF1 and its downstream transcriptional programmes as therapeutic targets for improving antiviral and antitumour immunity.
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45
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Multi-objective optimization reveals time- and dose-dependent inflammatory cytokine-mediated regulation of human stem cell derived T-cell development. NPJ Regen Med 2022; 7:11. [PMID: 35087040 PMCID: PMC8795204 DOI: 10.1038/s41536-022-00210-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 12/22/2021] [Indexed: 12/29/2022] Open
Abstract
The generation of T-cells from stem cells in vitro could provide an alternative source of cells for immunotherapies. T-cell development from hematopoietic stem and progenitor cells (HSPCs) is tightly regulated through Notch pathway activation by Delta-like (DL) ligands 1 and 4. Other molecules, such as stem cell factor (SCF) and interleukin (IL)-7, play a supportive role in regulating the survival, differentiation, and proliferation of developing T-cells. Numerous other signaling molecules influence T-lineage development in vivo, but little work has been done to understand and optimize their use for T-cell production. Using a defined engineered thymic niche system, we undertook a multi-stage statistical learning-based optimization campaign and identified IL-3 and tumor necrosis factor α (TNFα) as a stage- and dose-specific enhancers of cell proliferation and T-lineage differentiation. We used this information to construct an efficient three-stage process for generating conventional TCRαβ+CD8+ T-cells expressing a diverse TCR repertoire from blood stem cells. Our work provides new insight into T-cell development and a robust system for generating T-cells to enable clinical therapies for treating cancer and immune disorders.
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46
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Bigas A, Rodriguez-Sevilla JJ, Espinosa L, Gallardo F. Recent advances in T-cell lymphoid neoplasms. Exp Hematol 2021; 106:3-18. [PMID: 34879258 DOI: 10.1016/j.exphem.2021.12.191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 11/29/2021] [Accepted: 12/02/2021] [Indexed: 12/14/2022]
Abstract
T Cells comprise many subtypes of specified lymphocytes, and their differentiation and function take place in different tissues. This cellular diversity is also observed in the multiple ways T-cell transformation gives rise to a variety of T-cell neoplasms. This review covers the main types of T-cell malignancies and their specific characteristics, emphasizing recent advances at the cellular and molecular levels as well as differences and commonalities among them.
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Affiliation(s)
- Anna Bigas
- Program in Cancer Research, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), CIBERONC, Barcelona, Spain; Institut Josep Carreras contra la Leucemia, Barcelona, Spain.
| | | | - Lluis Espinosa
- Program in Cancer Research, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), CIBERONC, Barcelona, Spain
| | - Fernando Gallardo
- Dermatology Department, Parc de Salut Mar-Hospital del Mar, Barcelona, Spain.
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47
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Börner K, Teichmann SA, Quardokus EM, Gee JC, Browne K, Osumi-Sutherland D, Herr BW, Bueckle A, Paul H, Haniffa M, Jardine L, Bernard A, Ding SL, Miller JA, Lin S, Halushka MK, Boppana A, Longacre TA, Hickey J, Lin Y, Valerius MT, He Y, Pryhuber G, Sun X, Jorgensen M, Radtke AJ, Wasserfall C, Ginty F, Ho J, Sunshine J, Beuschel RT, Brusko M, Lee S, Malhotra R, Jain S, Weber G. Anatomical structures, cell types and biomarkers of the Human Reference Atlas. Nat Cell Biol 2021; 23:1117-1128. [PMID: 34750582 PMCID: PMC10079270 DOI: 10.1038/s41556-021-00788-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 09/29/2021] [Indexed: 02/05/2023]
Abstract
The Human Reference Atlas (HRA) aims to map all of the cells of the human body to advance biomedical research and clinical practice. This Perspective presents collaborative work by members of 16 international consortia on two essential and interlinked parts of the HRA: (1) three-dimensional representations of anatomy that are linked to (2) tables that name and interlink major anatomical structures, cell types, plus biomarkers (ASCT+B). We discuss four examples that demonstrate the practical utility of the HRA.
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Affiliation(s)
- Katy Börner
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ellen M Quardokus
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - James C Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristen Browne
- Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - David Osumi-Sutherland
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | - Bruce W Herr
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Andreas Bueckle
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Hrishikesh Paul
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Jardine
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | | | - Shin Lin
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marc K Halushka
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Avinash Boppana
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Teri A Longacre
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - John Hickey
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yiing Lin
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
| | - M Todd Valerius
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
| | - Yongqun He
- Department of Microbiology and Immunology, and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Gloria Pryhuber
- Department of Pediatrics, University of Rochester, Rochester, NY, USA
| | - Xin Sun
- Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Marda Jorgensen
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Andrea J Radtke
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Fiona Ginty
- Biology and Applied Physics, General Electric Research, Niskayuna, NY, USA
| | - Jonhan Ho
- Department of Dermatology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Sunshine
- Department of Dermatology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Rebecca T Beuschel
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Maigan Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Sujin Lee
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Rajeev Malhotra
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Griffin Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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48
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Modeling of human T cell development in vitro as a read-out for hematopoietic stem cell multipotency. Biochem Soc Trans 2021; 49:2113-2122. [PMID: 34643218 PMCID: PMC8589437 DOI: 10.1042/bst20210144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/22/2021] [Accepted: 09/27/2021] [Indexed: 12/24/2022]
Abstract
Hematopoietic stem cells (HSCs) reside in distinct sites throughout fetal and adult life and give rise to all cells of the hematopoietic system. Because of their multipotency, HSCs are capable of curing a wide variety of blood disorders through hematopoietic stem cell transplantation (HSCT). However, due to HSC heterogeneity, site-specific ontogeny and current limitations in generating and expanding HSCs in vitro, their broad use in clinical practice remains challenging. To assess HSC multipotency, evaluation of their capacity to generate T lymphocytes has been regarded as a valid read-out. Several in vitro models of T cell development have been established which are able to induce T-lineage differentiation from different hematopoietic precursors, although with variable efficiency. Here, we review the potential of human HSCs from various sources to generate T-lineage cells using these different models in order to address the use of both HSCs and T cell precursors in the clinic.
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49
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Liu C, Gong Y, Zhang H, Yang H, Zeng Y, Bian Z, Xin Q, Bai Z, Zhang M, He J, Yan J, Zhou J, Li Z, Ni Y, Wen A, Lan Y, Hu H, Liu B. Delineating spatiotemporal and hierarchical development of human fetal innate lymphoid cells. Cell Res 2021; 31:1106-1122. [PMID: 34239074 PMCID: PMC8486758 DOI: 10.1038/s41422-021-00529-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 06/08/2021] [Indexed: 02/07/2023] Open
Abstract
Whereas the critical roles of innate lymphoid cells (ILCs) in adult are increasingly appreciated, their developmental hierarchy in early human fetus remains largely elusive. In this study, we sorted human hematopoietic stem/progenitor cells, lymphoid progenitors, putative ILC progenitor/precursors and mature ILCs in the fetal hematopoietic, lymphoid and non-lymphoid tissues, from 8 to 12 post-conception weeks, for single-cell RNA-sequencing, followed by computational analysis and functional validation at bulk and single-cell levels. We delineated the early phase of ILC lineage commitment from hematopoietic stem/progenitor cells, which mainly occurred in fetal liver and intestine. We further unveiled interleukin-3 receptor as a surface marker for the lymphoid progenitors in fetal liver with T, B, ILC and myeloid potentials, while IL-3RA- lymphoid progenitors were predominantly B-lineage committed. Notably, we determined the heterogeneity and tissue distribution of each ILC subpopulation, revealing the proliferating characteristics shared by the precursors of each ILC subtype. Additionally, a novel unconventional ILC2 subpopulation (CRTH2- CCR9+ ILC2) was identified in fetal thymus. Taken together, our study illuminates the precise cellular and molecular features underlying the stepwise formation of human fetal ILC hierarchy with remarkable spatiotemporal heterogeneity.
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Affiliation(s)
- Chen Liu
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Han Zhang
- Department of Blood Transfusion, Daping Hospital, Army Military Medical University, Chongqing, China
| | - Hua Yang
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, China
| | - Yang Zeng
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhilei Bian
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Qian Xin
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Zhijie Bai
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Man Zhang
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Jian He
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Jing Yan
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
| | - Jie Zhou
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zongcheng Li
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yanli Ni
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Aiqing Wen
- Department of Blood Transfusion, Daping Hospital, Army Military Medical University, Chongqing, China.
| | - Yu Lan
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China.
| | - Hongbo Hu
- Center for Immunology and Hematology, the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University. Collaboration and Innovation Center for Biotherapy, Chengdu, China.
| | - Bing Liu
- State Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China.
- State Key Laboratory of Experimental Hematology, Institute of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China.
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50
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Duah M, Li L, Shen J, Lan Q, Pan B, Xu K. Thymus Degeneration and Regeneration. Front Immunol 2021; 12:706244. [PMID: 34539637 PMCID: PMC8442952 DOI: 10.3389/fimmu.2021.706244] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 08/16/2021] [Indexed: 01/08/2023] Open
Abstract
The immune system’s ability to resist the invasion of foreign pathogens and the tolerance to self-antigens are primarily centered on the efficient functions of the various subsets of T lymphocytes. As the primary organ of thymopoiesis, the thymus performs a crucial role in generating a self-tolerant but diverse repertoire of T cell receptors and peripheral T cell pool, with the capacity to recognize a wide variety of antigens and for the surveillance of malignancies. However, cells in the thymus are fragile and sensitive to changes in the external environment and acute insults such as infections, chemo- and radiation-therapy, resulting in thymic injury and degeneration. Though the thymus has the capacity to self-regenerate, it is often insufficient to reconstitute an intact thymic function. Thymic dysfunction leads to an increased risk of opportunistic infections, tumor relapse, autoimmunity, and adverse clinical outcome. Thus, exploiting the mechanism of thymic regeneration would provide new therapeutic options for these settings. This review summarizes the thymus’s development, factors causing thymic injury, and the strategies for improving thymus regeneration.
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Affiliation(s)
- Maxwell Duah
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
| | - Lingling Li
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
| | - Jingyi Shen
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
| | - Qiu Lan
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
| | - Bin Pan
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
| | - Kailin Xu
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, China.,Blood Diseases Institute, Xuzhou Medical University, Xuzhou, China
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