1
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Baldwin I, Robey EA. Adjusting to self in the thymus: CD4 versus CD8 lineage commitment and regulatory T cell development. J Exp Med 2024; 221:e20230896. [PMID: 38980291 PMCID: PMC11232887 DOI: 10.1084/jem.20230896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/22/2024] [Accepted: 06/27/2024] [Indexed: 07/10/2024] Open
Abstract
During thymic development, thymocytes adjust their TCR response based on the strength of their reactivity to self-peptide MHC complexes. This tuning process allows thymocytes with a range of self-reactivities to survive positive selection and contribute to a diverse T cell pool. In this review, we will discuss recent advances in our understanding of how thymocytes tune their responsiveness during positive selection, and we present a "sequential selection" model to explain how MHC specificity influences lineage choice. We also discuss recent evidence for cell type diversity in the medulla and discuss how this heterogeneity may contribute to medullary niches for negative selection and regulatory T cell development.
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Affiliation(s)
- Isabel Baldwin
- Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Ellen A. Robey
- Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
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2
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Lo WL, Huseby ES. The partitioning of TCR repertoires by thymic selection. J Exp Med 2024; 221:e20230897. [PMID: 39167074 PMCID: PMC11338286 DOI: 10.1084/jem.20230897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/22/2024] [Accepted: 07/09/2024] [Indexed: 08/23/2024] Open
Abstract
αβ T cells are critical components of the adaptive immune system; they maintain tissue and immune homeostasis during health, provide sterilizing immunity after pathogen infection, and are capable of eliminating transformed tumor cells. Fundamental to these distinct functions is the ligand specificity of the unique antigen receptor expressed on each mature T cell (TCR), which endows lymphocytes with the ability to behave in a cell-autonomous, disease context-specific manner. Clone-specific behavioral properties are initially established during T cell development when thymocytes use TCR recognition of major histocompatibility complex (MHC) and MHC-like ligands to instruct survival versus death and to differentiate into a plethora of inflammatory and regulatory T cell lineages. Here, we review the ligand specificity of the preselection thymocyte repertoire and argue that developmental stage-specific alterations in TCR signaling control cross-reactivity and foreign versus self-specificity of T cell sublineages.
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Affiliation(s)
- Wan-Lin Lo
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Eric S Huseby
- Department of Pathology, University of Massachusetts Chan Medical School, Worcester, MA, USA
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3
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Steier Z, Kim EJY, Aylard DA, Robey EA. The CD4 Versus CD8 T Cell Fate Decision: A Multiomics-Informed Perspective. Annu Rev Immunol 2024; 42:235-258. [PMID: 38271641 DOI: 10.1146/annurev-immunol-083122-040929] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
The choice of developing thymocytes to become CD8+ cytotoxic or CD4+ helper T cells has been intensely studied, but many of the underlying mechanisms remain to be elucidated. Recent multiomics approaches have provided much higher resolution analysis of gene expression in developing thymocytes than was previously achievable, thereby offering a fresh perspective on this question. Focusing on our recent studies using CITE-seq (cellular indexing of transcriptomes and epitopes) analyses of mouse thymocytes, we present a detailed timeline of RNA and protein expression changes during CD8 versus CD4 T cell differentiation. We also revisit our current understanding of the links between T cell receptor signaling and expression of the lineage-defining transcription factors ThPOK and RUNX3. Finally, we propose a sequential selection model to explain the tight linkage between MHC-I versus MHC-II recognition and T cell lineage choice. This model incorporates key aspects of previously proposed kinetic signaling, instructive, and stochastic/selection models.
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Affiliation(s)
- Zoë Steier
- Department of Bioengineering and Center for Computational Biology, University of California, Berkeley, California, USA
- Graduate Program in Bioengineering, University of California, Berkeley, and University of California, San Francisco, Berkeley and San Francisco, California, USA
- Current affiliation: Institute for Medical Engineering and Science, Massachusetts Institute of Technology; Broad Institute of MIT and Harvard; and Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Esther Jeong Yoon Kim
- Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, California, USA;
| | - Dominik A Aylard
- Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, California, USA;
| | - Ellen A Robey
- Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, California, USA;
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4
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Textor J, Buytenhuijs F, Rogers D, Gauthier ÈM, Sultan S, Wortel IMN, Kalies K, Fähnrich A, Pagel R, Melichar HJ, Westermann J, Mandl JN. Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity. Cell Syst 2023; 14:1059-1073.e5. [PMID: 38061355 DOI: 10.1016/j.cels.2023.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/01/2023] [Accepted: 11/09/2023] [Indexed: 12/23/2023]
Abstract
The T cell receptor (TCR) determines specificity and affinity for both foreign and self-peptides presented by the major histocompatibility complex (MHC). Although the strength of TCR interactions with self-pMHC impacts T cell function, it has been challenging to identify TCR sequence features that predict T cell fate. To discern patterns distinguishing TCRs from naive CD4+ T cells with low versus high self-reactivity, we used data from 42 mice to train a machine learning (ML) algorithm that identifies population-level differences between TCRβ sequence sets. This approach revealed that weakly self-reactive T cell populations were enriched for longer CDR3β regions and acidic amino acids. We tested our ML predictions of self-reactivity using retrogenic mice with fixed TCRβ sequences. Extrapolating our analyses to independent datasets, we predicted high self-reactivity for regulatory T cells and slightly reduced self-reactivity for T cells responding to chronic infections. Our analyses suggest a potential trade-off between TCR repertoire diversity and self-reactivity. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Johannes Textor
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands.
| | - Franka Buytenhuijs
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands
| | - Dakota Rogers
- Department of Physiology, McGill University, Montreal, QC H3G 0B1, Canada; McGill Research Centre on Complex Traits, McGill University, Montreal, QC H3G 0B1, Canada
| | - Ève Mallet Gauthier
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, QC H1T 2M4, Canada; Department of Microbiology, Infectious Diseases, and Immunology, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Shabaz Sultan
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands
| | - Inge M N Wortel
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands
| | - Kathrin Kalies
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Anke Fähnrich
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - René Pagel
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Heather J Melichar
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, QC H1T 2M4, Canada; Department of Medicine, Université de Montréal, Montréal, QC H1T 2M4, Canada; Department of Microbiology & Immunology, McGill University, Montreal, QC H3A 1A3, Canada; Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC H3A 1A3, Canada
| | | | - Judith N Mandl
- Department of Physiology, McGill University, Montreal, QC H3G 0B1, Canada; Department of Microbiology & Immunology, McGill University, Montreal, QC H3A 1A3, Canada; McGill Research Centre on Complex Traits, McGill University, Montreal, QC H3G 0B1, Canada.
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5
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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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6
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This S, Rogers D, Mallet Gauthier È, Mandl JN, Melichar HJ. What's self got to do with it: Sources of heterogeneity among naive T cells. Semin Immunol 2023; 65:101702. [PMID: 36463711 DOI: 10.1016/j.smim.2022.101702] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/23/2022] [Accepted: 11/25/2022] [Indexed: 12/04/2022]
Abstract
There is a long-standing assumption that naive CD4+ and CD8+ T cells are largely homogeneous populations despite the extraordinary diversity of their T cell receptors (TCR). The self-immunopeptidome plays a key role in the selection of the naive T cell repertoire in the thymus, and self-peptides are also an important driver of differences between individual naive T cells with regard to their subsequent functional contributions to an immune response. Accumulating evidence suggests that as early as the β-selection stage of T cell development, when only one of the recombined chains of the mature TCR is expressed, signaling thresholds may be established for positive selection of immature thymocytes. Stochastic encounters subsequently made with self-ligands during positive selection in the thymus imprint functional biases that a T cell will carry with it throughout its lifetime, although ongoing interactions with self in the periphery ensure a level of plasticity in the gene expression wiring of naive T cells. Identifying the sources of heterogeneity in the naive T cell population and which functional attributes of T cells can be modulated through post-thymic interventions versus those that are fixed during T cell development, could enable us to better select or generate T cells with particular traits to improve the efficacy of T cell therapies.
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Affiliation(s)
- Sébastien This
- Department of Microbiology, Infectious Disease, and Immunology, Université de Montréal, Montreal, Canada; Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, Canada
| | - Dakota Rogers
- Department of Physiology and McGill Research Centre on Complex Traits, McGill University, Montreal, Canada
| | - Ève Mallet Gauthier
- Department of Microbiology, Infectious Disease, and Immunology, Université de Montréal, Montreal, Canada; Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, Canada
| | - Judith N Mandl
- Department of Physiology and McGill Research Centre on Complex Traits, McGill University, Montreal, Canada.
| | - Heather J Melichar
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, Canada; Department of Medicine, Université de Montréal, Montreal, Canada.
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7
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Chann AS, Charnley M, Newton LM, Newbold A, Wiede F, Tiganis T, Humbert PO, Johnstone RW, Russell SM. Stepwise progression of β-selection during T cell development involves histone deacetylation. Life Sci Alliance 2022; 6:6/1/e202201645. [PMID: 36283704 PMCID: PMC9595210 DOI: 10.26508/lsa.202201645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 11/26/2022] Open
Abstract
During T cell development, the first step in creating a unique T cell receptor (TCR) is genetic recombination of the TCRβ chain. The quality of the new TCRβ is assessed at the β-selection checkpoint. Most cells fail this checkpoint and die, but the coordination of fate at the β-selection checkpoint is not yet understood. We shed new light on fate determination during β-selection using a selective inhibitor of histone deacetylase 6, ACY1215. ACY1215 disrupted the β-selection checkpoint. Characterising the basis for this disruption revealed a new, pivotal stage in β-selection, bookended by up-regulation of TCR co-receptors, CD28 and CD2, respectively. Within this "DN3bPre" stage, CD5 and Lef1 are up-regulated to reflect pre-TCR signalling, and their expression correlates with proliferation. These findings suggest a refined model of β-selection in which a coordinated increase in expression of pre-TCR, CD28, CD5 and Lef1 allows for modulating TCR signalling strength and culminates in the expression of CD2 to enable exit from the β-selection checkpoint.
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Affiliation(s)
- Anchi S Chann
- Optical Sciences Centre, School of Science, Swinburne University of Technology, Hawthorn, Australia,Peter MacCallum Cancer Centre, Melbourne, Australia,Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia,Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | - Mirren Charnley
- Optical Sciences Centre, School of Science, Swinburne University of Technology, Hawthorn, Australia,Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Lucas M Newton
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia
| | - Andrea Newbold
- Peter MacCallum Cancer Centre, Melbourne, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Florian Wiede
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia,Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | - Tony Tiganis
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia,Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia
| | - Patrick O Humbert
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia,Research Centre for Molecular Cancer Prevention, La Trobe University, Melbourne, Australia,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, Australia,Department of Clinical Pathology, University of Melbourne, Melbourne, Australia
| | - Ricky W Johnstone
- Peter MacCallum Cancer Centre, Melbourne, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Sarah M Russell
- Optical Sciences Centre, School of Science, Swinburne University of Technology, Hawthorn, Australia .,Peter MacCallum Cancer Centre, Melbourne, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
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8
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Tian HM, Fang MH, Zou J, Su L. Shikonin impairs T lymphocyte proliferation and thymopoiesis while it may increase myeloid-derived suppressor cells to alleviate immune responses. Transpl Immunol 2022; 75:101699. [PMID: 35988896 DOI: 10.1016/j.trim.2022.101699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 11/19/2022]
Abstract
Shikonin (SHK) has multifaceted physiological functions, including antitumor, anti-inflammatory, and antimicrobial effects. Recently, SHK has been shown to affect immune responses; however, its detailed immune modulatory function in vivo remains unclear. In this study, we demonstrated that SHK not only inhibited T cell proliferation in vitro, but also intensively inhibited thymopoiesis and eliminated CD4/CD8 double-positive thymic progenitor cells in vivo. Treatment of mice with SHK resulted in immune profile alterations, which promoted myelosis in the bone marrow and increased inhibitory immune cells in central immune organs. A decrease in T cells and B cells was observed in the spleen. Using a murine allogenic skin transplantation model, we revealed that short-term treatment of recipients with SHK significantly inhibited skin graft rejection, in which the levels of myeloid-derived suppressor cells (MDSC) were markedly increased. Taken together, our study suggests that SHK can efficiently eliminate proliferating T cells and inhibit thymopoiesis while promoting the generation of MDSC, indicating its potential role in alleviating immune responses in allogeneic organ/cell transplantation.
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Affiliation(s)
- Hui-Min Tian
- Department of Oncology, The First Hospital, Jilin University, Changchun 130021, China; Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, The First Hospital, Jilin University; Changchun, 130061, China; National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, Changchun 130061, China
| | - Ming-Hui Fang
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, The First Hospital, Jilin University; Changchun, 130061, China; National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, Changchun 130061, China
| | - Jun Zou
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, The First Hospital, Jilin University; Changchun, 130061, China; National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, Changchun 130061, China
| | - Long Su
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, The First Hospital, Jilin University; Changchun, 130061, China; National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, Changchun 130061, China; Department of Hematology, The First Hospital, Jilin University, Changchun 130021, China.
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9
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Huseby ES, Teixeiro E. The perception and response of T cells to a changing environment are based on the law of initial value. Sci Signal 2022; 15:eabj9842. [PMID: 35639856 PMCID: PMC9290192 DOI: 10.1126/scisignal.abj9842] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
αβ T cells are critical components of the adaptive immune system and are capable of inducing sterilizing immunity after pathogen infection and eliminating transformed tumor cells. The development and function of T cells are controlled through the T cell antigen receptor, which recognizes peptides displayed on major histocompatibility complex (MHC) molecules. Here, we review how T cells generate the ability to recognize self-peptide-bound MHC molecules and use signals derived from these interactions to instruct cellular development, activation thresholds, and functional specialization in the steady state and during immune responses. We argue that the basic tenants of T cell development and function follow Weber-Fetcher's law of just noticeable differences and Wilder's law of initial value. Together, these laws argue that the ability of a system to respond and the quality of that response are scalable to the basal state of that system. Manifestation of these laws in T cells generates clone-specific activation thresholds that are based on perceivable differences between homeostasis and pathogen encounter (self versus nonself discrimination), as well as poised states for subsequent differentiation into specific effector cell lineages.
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Affiliation(s)
- Eric S. Huseby
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Emma Teixeiro
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO 65212, USA
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10
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Abstract
A high diversity of αβ T cell receptors (TCRs), capable of recognizing virtually any pathogen but also self-antigens, is generated during T cell development in the thymus. Nevertheless, a strict developmental program supports the selection of a self-tolerant T cell repertoire capable of responding to foreign antigens. The steps of T cell selection are controlled by cortical and medullary stromal niches, mainly composed of thymic epithelial cells and dendritic cells. The integration of important cues provided by these specialized niches, including (a) the TCR signal strength induced by the recognition of self-peptide-MHC complexes, (b) costimulatory signals, and (c) cytokine signals, critically controls T cell repertoire selection. This review discusses our current understanding of the signals that coordinate positive selection, negative selection, and agonist selection of Foxp3+ regulatory T cells. It also highlights recent advances that have unraveled the functional diversity of thymic antigen-presenting cell subsets implicated in T cell selection.
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Affiliation(s)
- Magali Irla
- Centre d'Immunologie de Marseille-Luminy (CIML), CNRS, INSERM, Aix-Marseille Université, Marseille, France;
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11
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Shevyrev D, Tereshchenko V, Kozlov V, Sennikov S. Phylogeny, Structure, Functions, and Role of AIRE in the Formation of T-Cell Subsets. Cells 2022; 11:194. [PMID: 35053310 PMCID: PMC8773594 DOI: 10.3390/cells11020194] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/06/2023] Open
Abstract
It is well known that the most important feature of adaptive immunity is the specificity that provides highly precise recognition of the self, altered-self, and non-self. Due to the high specificity of antigen recognition, the adaptive immune system participates in the maintenance of genetic homeostasis, supports multicellularity, and protects an organism from different pathogens at a qualitatively different level than innate immunity. This seemingly simple property is based on millions of years of evolution that led to the formation of diversification mechanisms of antigen-recognizing receptors and later to the emergence of a system of presentation of the self and non-self antigens. The latter could have a crucial significance because the presentation of nearly complete diversity of auto-antigens in the thymus allows for the "calibration" of the forming repertoires of T-cells for the recognition of self, altered-self, and non-self antigens that are presented on the periphery. The central role in this process belongs to promiscuous gene expression by the thymic epithelial cells that express nearly the whole spectrum of proteins encoded in the genome, meanwhile maintaining their cellular identity. This complex mechanism requires strict control that is executed by several transcription factors. One of the most important of them is AIRE. This noncanonical transcription factor not only regulates the processes of differentiation and expression of peripheral tissue-specific antigens in the thymic medullar epithelial cells but also controls intercellular interactions in the thymus. Besides, it participates in an increase in the diversity and transfer of presented antigens and thus influences the formation of repertoires of maturing thymocytes. Due to these complex effects, AIRE is also called a transcriptional regulator. In this review, we briefly described the history of AIRE discovery, its structure, functions, and role in the formation of antigen-recognizing receptor repertoires, along with other transcription factors. We focused on the phylogenetic prerequisites for the development of modern adaptive immunity and emphasized the importance of the antigen presentation system.
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Affiliation(s)
- Daniil Shevyrev
- Research Institute for Fundamental and Clinical Immunology (RIFCI), 630099 Novosibirsk, Russia; (V.T.); (V.K.); (S.S.)
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12
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Lutes LK, Steier Z, McIntyre LL, Pandey S, Kaminski J, Hoover AR, Ariotti S, Streets A, Yosef N, Robey EA. T cell self-reactivity during thymic development dictates the timing of positive selection. eLife 2021; 10:e65435. [PMID: 33884954 PMCID: PMC8116051 DOI: 10.7554/elife.65435] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 04/21/2021] [Indexed: 12/14/2022] Open
Abstract
Functional tuning of T cells based on their degree of self-reactivity is established during positive selection in the thymus, although how positive selection differs for thymocytes with relatively low versus high self-reactivity is unclear. In addition, preselection thymocytes are highly sensitive to low-affinity ligands, but the mechanism underlying their enhanced T cell receptor (TCR) sensitivity is not fully understood. Here we show that murine thymocytes with low self-reactivity experience briefer TCR signals and complete positive selection more slowly than those with high self-reactivity. Additionally, we provide evidence that cells with low self-reactivity retain a preselection gene expression signature as they mature, including genes previously implicated in modulating TCR sensitivity and a novel group of ion channel genes. Our results imply that thymocytes with low self-reactivity downregulate TCR sensitivity more slowly during positive selection, and associate membrane ion channel expression with thymocyte self-reactivity and progress through positive selection.
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Affiliation(s)
- Lydia K Lutes
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Zoë Steier
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
| | - Laura L McIntyre
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Shraddha Pandey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - James Kaminski
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
| | - Ashley R Hoover
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Silvia Ariotti
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Aaron Streets
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Nir Yosef
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Department of Electrical Engineering and Computer Sciences, University of California, BerkeleyBerkeleyUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ellen A Robey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
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