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Ostmeyer J, Park JY, von Itzstein MS, Hsiehchen D, Fattah F, Gwin M, Catalan R, Khan S, Raj P, Wakeland EK, Xie Y, Gerber DE. T-cell tolerant fraction as a predictor of immune-related adverse events. J Immunother Cancer 2023; 11:e006437. [PMID: 37580069 PMCID: PMC10432621 DOI: 10.1136/jitc-2022-006437] [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] [Accepted: 06/28/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitor (ICI) therapies may cause unpredictable and potentially severe autoimmune toxicities termed immune-related adverse events (irAEs). Because T cells mediate ICI effects, T cell profiling may provide insight into the risk of irAEs. Here we evaluate a novel metric-the T-cell tolerant fraction-as a predictor of future irAEs. METHODS We examined T-cell receptor beta (TRB) locus sequencing from baseline pretreatment samples from an institutional registry and previously published studies. For each patient, we used TRB sequences to calculate the T-cell tolerant fraction, which was then assessed as a predictor of future irAEs (classified as Common Terminology Criteria for Adverse Event grade 0-1 vs grade ≥2). We then compared the tolerant fraction to TRB clonality and diversity. Finally, the tolerant fraction was assessed on (1) T cells enriched against napsin A, a potential autoantigen of irAEs; (2) thymic versus peripheral blood T cells; and (3) TRBs specific for various infections and autoimmune diseases. RESULTS A total of 77 patients with cancer (22 from an institutional registry and 55 from published studies) receiving ICI therapy (43 CTLA4, 19 PD1/PDL1, 15 combination CTLA4+PD1/PDL1) were included in the study. The tolerant fraction was significantly lower in cases with clinically significant irAEs (p<0.001) and had an area under the receiver operating curve (AUC) of 0.79. The tolerant fraction was lower for each ICI treatment category, reaching statistical significance for CTLA4 (p<0.001) and demonstrating non-significant trends for PD1/PDL1 (p=0.21) and combination ICI (p=0.18). The tolerant fraction for T cells enriched against napsin A was lower than other samples. The tolerant fraction was also lower in thymic versus peripheral blood samples, and lower in some (multiple sclerosis) but not other (type 1 diabetes) autoimmune diseases. In our study cohort, TRB clonality had an AUC of 0.62, and TRB diversity had an AUC of 0.60 for predicting irAEs. CONCLUSIONS Among patients receiving ICI, the baseline T-cell tolerant fraction may serve as a predictor of clinically significant irAEs.
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Affiliation(s)
- Jared Ostmeyer
- Peter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jason Y Park
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mitchell S von Itzstein
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - David Hsiehchen
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Farjana Fattah
- Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mary Gwin
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Rodrigo Catalan
- Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Shaheen Khan
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Prithvi Raj
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Edward K Wakeland
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Yang Xie
- Peter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - David E Gerber
- Peter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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2
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Yang X, Garner LI, Zvyagin IV, Paley MA, Komech EA, Jude KM, Zhao X, Fernandes RA, Hassman LM, Paley GL, Savvides CS, Brackenridge S, Quastel MN, Chudakov DM, Bowness P, Yokoyama WM, McMichael AJ, Gillespie GM, Garcia KC. Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides. Nature 2022; 612:771-777. [PMID: 36477533 PMCID: PMC10511244 DOI: 10.1038/s41586-022-05501-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 11/01/2022] [Indexed: 12/12/2022]
Abstract
Human leucocyte antigen B*27 (HLA-B*27) is strongly associated with inflammatory diseases of the spine and pelvis (for example, ankylosing spondylitis (AS)) and the eye (that is, acute anterior uveitis (AAU))1. How HLA-B*27 facilitates disease remains unknown, but one possible mechanism could involve presentation of pathogenic peptides to CD8+ T cells. Here we isolated orphan T cell receptors (TCRs) expressing a disease-associated public β-chain variable region-complementary-determining region 3β (BV9-CDR3β) motif2-4 from blood and synovial fluid T cells from individuals with AS and from the eye in individuals with AAU. These TCRs showed consistent α-chain variable region (AV21) chain pairing and were clonally expanded in the joint and eye. We used HLA-B*27:05 yeast display peptide libraries to identify shared self-peptides and microbial peptides that activated the AS- and AAU-derived TCRs. Structural analysis revealed that TCR cross-reactivity for peptide-MHC was rooted in a shared binding motif present in both self-antigens and microbial antigens that engages the BV9-CDR3β TCRs. These findings support the hypothesis that microbial antigens and self-antigens could play a pathogenic role in HLA-B*27-associated disease.
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Affiliation(s)
- Xinbo Yang
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lee I Garner
- NDM Research Building, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Centre for Immuno-oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Ivan V Zvyagin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Michael A Paley
- Rheumatology Division, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Ekaterina A Komech
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Kevin M Jude
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiang Zhao
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ricardo A Fernandes
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lynn M Hassman
- Department of Ophthalmology, Washington University School of Medicine, St Louis, MO, USA
| | - Grace L Paley
- Department of Ophthalmology, Washington University School of Medicine, St Louis, MO, USA
| | - Christina S Savvides
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Simon Brackenridge
- NDM Research Building, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Centre for Immuno-oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Max N Quastel
- NDM Research Building, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Centre for Immuno-oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Dmitriy M Chudakov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Paul Bowness
- Nuffield Department of Orthopaedics Rheumatology and Muscuoskeletal Science (NDORMS), Botnar Research Center, University of Oxford, Oxford, UK
| | - Wayne M Yokoyama
- Rheumatology Division, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
- Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St Louis, MO, USA.
| | - Andrew J McMichael
- NDM Research Building, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Centre for Immuno-oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Geraldine M Gillespie
- NDM Research Building, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Centre for Immuno-oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - K Christopher Garcia
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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3
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Li H, Wang D, Zhou X, Ding S, Guo W, Zhang S, Li Z, Huang T, Cai YD. Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods. Front Mol Neurosci 2022; 15:1033159. [PMID: 36311013 PMCID: PMC9608858 DOI: 10.3389/fnmol.2022.1033159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
The spleen and lymph nodes are important functional organs for human immune system. The identification of cell types for spleen and lymph nodes is helpful for understanding the mechanism of immune system. However, the cell types of spleen and lymph are highly diverse in the human body. Therefore, in this study, we employed a series of machine learning algorithms to computationally analyze the cell types of spleen and lymph based on single-cell CITE-seq sequencing data. A total of 28,211 cell data (training vs. test = 14,435 vs. 13,776) involving 24 cell types were collected for this study. For the training dataset, it was analyzed by Boruta and minimum redundancy maximum relevance (mRMR) one by one, resulting in an mRMR feature list. This list was fed into the incremental feature selection (IFS) method, incorporating four classification algorithms (deep forest, random forest, K-nearest neighbor, and decision tree). Some essential features were discovered and the deep forest with its optimal features achieved the best performance. A group of related proteins (CD4, TCRb, CD103, CD43, and CD23) and genes (Nkg7 and Thy1) contributing to the classification of spleen and lymph nodes cell types were analyzed. Furthermore, the classification rules yielded by decision tree were also provided and analyzed. Above findings may provide helpful information for deepening our understanding on the diversity of cell types.
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Affiliation(s)
- Hao Li
- College of Biological and Food Engineering, Jilin Engineering Normal University, Changchun, China
| | - Deling Wang
- State Key Laboratory of Oncology in South China, Department of Radiology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xianchao Zhou
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shijian Ding
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Institutes for Biological Sciences (SIBS), Shanghai Jiao Tong University School of Medicine (SJTUSM), Chinese Academy of Sciences (CAS), Shanghai, China
| | - Shiqi Zhang
- Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Zhandong Li
- College of Biological and Food Engineering, Jilin Engineering Normal University, Changchun, China
| | - Tao Huang
- CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Tao Huang,
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
- Yu-Dong Cai,
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4
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Levi R, Louzoun Y. Two Step Selection for Bias in β Chain V-J Pairing. Front Immunol 2022; 13:906217. [PMID: 35911711 PMCID: PMC9330483 DOI: 10.3389/fimmu.2022.906217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
The β chain rearrangement in T cells is a two-step process where first Dβ and Jβ bind, and only then Vβ is joined to the complex. We here show that the frequency of human and mouse Vβ
Jβ combinations deviates from the one expected based on each gene usage frequency. This bias is observed mainly in functional (F) rearrangements, but also slightly in non-functional (NF) rearrangements. Preferred Vβ
Jβ combinations in F clones are shared between donors and samples, suggesting a common structural mechanism for these biases in addition to any host-specific antigen-induced peripheral selection. The sharing holds even in clones with Jβ1 that share the same Dβ1 gene. Vβ
Jβ usage is correlated with the Molecular Weight and Isoelectric Point in F clones. The pairing is also observed in the Double Positive cells in mice thymocytes, suggesting that the selection leading to such a pairing occurs before thymic selection. These results suggest an additional structural checkpoint in the beta chain development prior to thymic selection during the T cell receptor expression. Understanding this structural selection is important for the distinction between normal and aberrant T cell development, and crucial for the design of engineered TCRs.
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5
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Ostmeyer J, Cowell L, Greenberg B, Christley S. Reconstituting T cell receptor selection in-silico. Genes Immun 2021; 22:187-193. [PMID: 34127826 DOI: 10.1038/s41435-021-00141-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/13/2021] [Accepted: 05/26/2021] [Indexed: 11/09/2022]
Abstract
Each T cell receptor (TCR) gene is created without regard for which substances (antigens) the receptor can recognize. T cell selection culls developing T cells when their TCRs (i) fail to recognize major histocompatibility complexes (MHCs) that act as antigen presenting platforms or (ii) recognize with high affinity self-antigens derived from healthy cells and tissue. While T cell selection has been thoroughly studied, little is known about which TCRs are retained or removed by this process. Therefore, we develop an approach using TCR gene sequencing and machine learning to identify patterns in TCR protein sequences influencing the outcome of T cell receptor selection. We verify the trained models classify TCRs from developing T cells as being before selection and TCRs from mature T cells as being after selection. Our approach may provide future avenues for studying the relationship between T cell selection and conditions like autoimmune diseases.
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Affiliation(s)
- Jared Ostmeyer
- Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA.
| | - Lindsay Cowell
- Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Benjamin Greenberg
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Scott Christley
- Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA
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6
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Heikkilä N, Kleino I, Vanhanen R, Yohannes DA, Mattila IP, Saramäki J, Arstila TP. Characterization of human T cell receptor repertoire data in eight thymus samples and four related blood samples. Data Brief 2021; 35:106751. [PMID: 33553521 PMCID: PMC7859292 DOI: 10.1016/j.dib.2021.106751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 12/22/2020] [Accepted: 01/11/2021] [Indexed: 12/02/2022] Open
Abstract
T cell receptor (TCR) is a heterodimer consisting of TCRα and TCRβ chains that are generated by somatic recombination of multiple gene segments. Nascent TCR repertoire undergoes thymic selections where non-functional and potentially autoreactive receptors are removed. During the last years, the development of high-throughput sequencing technology has allowed a large scale assessment of TCR repertoire and multiple analysis tools are now also available. In our recent manuscript, Human thymic T cell repertoire is imprinted with strong convergence to shared sequences[1], we show highly overlapping thymic TCR repertoires in unrelated individuals. In the current Data in Brief article, we provide a more detailed characterization of the basic features of these thymic and related peripheral blood TCR repertoires. The thymus samples were collected from eight infants undergoing corrective cardiac surgery, two of whom were monozygous twins [2]. In parallel with the surgery, a small aliquot of peripheral blood was drawn from four of the donors. Genomic DNA was extracted from mechanically released thymocytes and circulating leukocytes. The sequencing of TCRα and TCRβ repertoires was performed at ImmunoSEQ platform (Adaptive Biotechnologies). The obtained repertoire data were analysed applying relevant features from immunoSEQ® 3.0 Analyzer (Adaptive Biotechnologies) and a freely available VDJTools software package for programming language R [3]. The current data analysis displays the basic features of the sequenced repertoires including observed TCR diversity, various descriptive TCR diversity measures, and V and J gene usage. In addition, multiple methods to calculate repertoire overlap between two individuals are applied. The raw sequence data provide a large database of reference TCRs in healthy individuals at an early developmental stage. The data can be exploited to improve existing computational models on TCR repertoire behaviour as well as in the generation of new models.
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Affiliation(s)
- Nelli Heikkilä
- Research Programs Unit, Translational Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland.,Medicum, Department of Bacteriology and Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Iivari Kleino
- Research Programs Unit, Translational Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Reetta Vanhanen
- Research Programs Unit, Translational Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland.,Medicum, Department of Bacteriology and Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Dawit A Yohannes
- Research Programs Unit, Translational Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland.,Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Ilkka P Mattila
- Department of Pediatric Cardiac and Transplantation Surgery, Hospital for Children and Adolescents, Helsinki University Central Hospital, Stenbäckinkatu 9, 00290 Helsinki, Finland
| | - Jari Saramäki
- Department of Computer Science, Aalto University, Konemiehentie 2, 02150 Espoo, Finland
| | - T Petteri Arstila
- Research Programs Unit, Translational Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland.,Medicum, Department of Bacteriology and Immunology, University of Helsinki, Haartmaninkatu 3, 00290 Helsinki, Finland
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7
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Tanno H, Gould TM, McDaniel JR, Cao W, Tanno Y, Durrett RE, Park D, Cate SJ, Hildebrand WH, Dekker CL, Tian L, Weyand CM, Georgiou G, Goronzy JJ. Determinants governing T cell receptor α/β-chain pairing in repertoire formation of identical twins. Proc Natl Acad Sci U S A 2020; 117:532-540. [PMID: 31879353 PMCID: PMC6955297 DOI: 10.1073/pnas.1915008117] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The T cell repertoire in each individual includes T cell receptors (TCRs) of enormous sequence diversity through the pairing of diverse TCR α- and β-chains, each generated by somatic recombination of paralogous gene segments. Whether the TCR repertoire contributes to susceptibility to infectious or autoimmune diseases in concert with disease-associated major histocompatibility complex (MHC) polymorphisms is unknown. Due to a lack in high-throughput technologies to sequence TCR α-β pairs, current studies on whether the TCR repertoire is shaped by host genetics have so far relied only on single-chain analysis. Using a high-throughput single T cell sequencing technology, we obtained the largest paired TCRαβ dataset so far, comprising 965,523 clonotypes from 15 healthy individuals including 6 monozygotic twin pairs. Public TCR α- and, to a lesser extent, TCR β-chain sequences were common in all individuals. In contrast, sharing of entirely identical TCRαβ amino acid sequences was very infrequent in unrelated individuals, but highly increased in twins, in particular in CD4 memory T cells. Based on nucleotide sequence identity, a subset of these shared clonotypes appeared to be the progeny of T cells that had been generated during fetal development and had persisted for more than 50 y. Additional shared TCRαβ in twins were encoded by different nucleotide sequences, implying that genetic determinants impose structural constraints on thymic selection that favor the selection of TCR α-β pairs with entire sequence identities.
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Affiliation(s)
- Hidetaka Tanno
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712
| | - Timothy M Gould
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - Jonathan R McDaniel
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Wenqiang Cao
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - Yuri Tanno
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Russell E Durrett
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Daechan Park
- Department of Life Sciences, Ajou University, Suwon 16499, South Korea
| | - Steven J Cate
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - William H Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - Cornelia L Dekker
- Department of Pediatrics (Infectious Diseases), Stanford University School of Medicine, Stanford, CA 94305
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305
| | - Cornelia M Weyand
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - George Georgiou
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712
| | - Jörg J Goronzy
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305;
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
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8
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Elhanati Y, Sethna Z, Callan CG, Mora T, Walczak AM. Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombination. Immunol Rev 2018; 284:167-179. [PMID: 29944757 PMCID: PMC6033145 DOI: 10.1111/imr.12665] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Despite the extreme diversity of T-cell repertoires, many identical T-cell receptor (TCR) sequences are found in a large number of individual mice and humans. These widely shared sequences, often referred to as "public," have been suggested to be over-represented due to their potential immune functionality or their ease of generation by V(D)J recombination. Here, we show that even for large cohorts, the observed degree of sharing of TCR sequences between individuals is well predicted by a model accounting for the known quantitative statistical biases in the generation process, together with a simple model of thymic selection. Whether a sequence is shared by many individuals is predicted to depend on the number of queried individuals and the sampling depth, as well as on the sequence itself, in agreement with the data. We introduce the degree of publicness conditional on the queried cohort size and the size of the sampled repertoires. Based on these observations, we propose a public/private sequence classifier, "PUBLIC" (Public Universal Binary Likelihood Inference Classifier), based on the generation probability, which performs very well even for small cohort sizes.
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Affiliation(s)
- Yuval Elhanati
- Joseph Henry LaboratoriesPrinceton UniversityPrincetonNJUSA
| | - Zachary Sethna
- Joseph Henry LaboratoriesPrinceton UniversityPrincetonNJUSA
| | | | - Thierry Mora
- Laboratoire de physique statistiqueCNRSSorbonne UniversitéUniversité Paris‐Diderot, and École Normale Supérieure (PSL University)ParisFrance
| | - Aleksandra M. Walczak
- Laboratoire de physique théoriqueCNRSSorbonne Université, and École Normale Supérieure (PSL University)ParisFrance
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9
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Degauque N, Brouard S, Soulillou JP. Cross-Reactivity of TCR Repertoire: Current Concepts, Challenges, and Implication for Allotransplantation. Front Immunol 2016; 7:89. [PMID: 27047489 PMCID: PMC4805583 DOI: 10.3389/fimmu.2016.00089] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 02/22/2016] [Indexed: 01/18/2023] Open
Abstract
Being able to track donor reactive T cells during the course of organ transplantation is a key to improve the graft survival, to prevent graft dysfunction, and to adapt the immunosuppressive regimen. The attempts of transplant immunologists have been for long hampered by the large size of the alloreactive T cell repertoire. Understanding how self-TCR can interact with allogeneic MHC is a key to critically appraise the different assays available to analyze the TCR Vβ repertoire usage. In this report, we will review conceptually and experimentally the process of cross-reactivity. We will then highlight what can be learned from allotransplantation, a situation of artificial cross-reactivity. Finally, the low- and high-resolution techniques to characterize the TCR Vβ repertoire usage in transplantation will be critically discussed.
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Affiliation(s)
- Nicolas Degauque
- UMR 1064, INSERM, Nantes, France; ITUN, CHU de Nantes, Nantes, France; Faculté de Médecine, Université de Nantes, Nantes, France; LabEx IGO "Immunotherapy Graft Oncology", Nantes, France
| | - Sophie Brouard
- UMR 1064, INSERM, Nantes, France; ITUN, CHU de Nantes, Nantes, France; Faculté de Médecine, Université de Nantes, Nantes, France; LabEx IGO "Immunotherapy Graft Oncology", Nantes, France; CIC Biothérapie, Nantes, France; CRB, CHU Nantes, Nantes, France; LabEx Transplantex, Nantes, France
| | - Jean-Paul Soulillou
- UMR 1064, INSERM, Nantes, France; Faculté de Médecine, Université de Nantes, Nantes, France; LabEx Transplantex, Nantes, France
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10
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Jackson KJL, Kidd MJ, Wang Y, Collins AM. The shape of the lymphocyte receptor repertoire: lessons from the B cell receptor. Front Immunol 2013; 4:263. [PMID: 24032032 PMCID: PMC3759170 DOI: 10.3389/fimmu.2013.00263] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Accepted: 08/19/2013] [Indexed: 11/13/2022] Open
Abstract
Both the B cell receptor (BCR) and the T cell receptor (TCR) repertoires are generated through essentially identical processes of V(D)J recombination, exonuclease trimming of germline genes, and the random addition of non-template encoded nucleotides. The naïve TCR repertoire is constrained by thymic selection, and TCR repertoire studies have therefore focused strongly on the diversity of MHC-binding complementarity determining region (CDR) CDR3. The process of somatic point mutations has given B cell studies a major focus on variable (IGHV, IGLV, and IGKV) genes. This in turn has influenced how both the naïve and memory BCR repertoires have been studied. Diversity (D) genes are also more easily identified in BCR VDJ rearrangements than in TCR VDJ rearrangements, and this has allowed the processes and elements that contribute to the incredible diversity of the immunoglobulin heavy chain CDR3 to be analyzed in detail. This diversity can be contrasted with that of the light chain where a small number of polypeptide sequences dominate the repertoire. Biases in the use of different germline genes, in gene processing, and in the addition of non-template encoded nucleotides appear to be intrinsic to the recombination process, imparting "shape" to the repertoire of rearranged genes as a result of differences spanning many orders of magnitude in the probabilities that different BCRs will be generated. This may function to increase the precursor frequency of naïve B cells with important specificities, and the likely emergence of such B cell lineages upon antigen exposure is discussed with reference to public and private T cell clonotypes.
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Affiliation(s)
- Katherine J. L. Jackson
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Marie J. Kidd
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Yan Wang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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Abstract
Historically, sharing T cell receptors (TCRs) between individuals has been speculated to be impossible, considering the dramatic discrepancy between the potential enormity of the TCR repertoire and the limited number of T cells generated in each individual. However, public T cell response, in which multiple individuals share identical TCRs in responding to a same antigenic epitope, has been extensively observed in a variety of immune responses across many species. Public T cell responses enable individuals within a population to generate similar antigen-specific TCRs against certain ubiquitous pathogens, leading to favorable biological outcomes. However, the relatively concentrated feature of TCR repertoire may limit T cell response in a population to some other pathogens. It could be a great benefit for human health if public T cell responses can be manipulated. Therefore, the mechanistic insight of public TCR generation is important to know. Recently, high-throughput DNA sequencing has revolutionized the study of immune receptor repertoires, which allows a much better understanding of the factors that determine the overlap of TCR repertoire among individuals. Here, we summarize the current knowledge on public T-cell response and discuss future challenges in this field.
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Affiliation(s)
- Hanjie Li
- State Key Laboratory of Cellular Stress Biology and School of Life Sciences, Xiamen University, Xiamen, Fujian, China
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12
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Freeman JD, Warren RL, Webb JR, Nelson BH, Holt RA. Profiling the T-cell receptor beta-chain repertoire by massively parallel sequencing. Genome Res 2009; 19:1817-24. [PMID: 19541912 DOI: 10.1101/gr.092924.109] [Citation(s) in RCA: 287] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
T-cell receptor (TCR) genomic loci undergo somatic V(D)J recombination, plus the addition/subtraction of nontemplated bases at recombination junctions, in order to generate the repertoire of structurally diverse T cells necessary for antigen recognition. TCR beta subunits can be unambiguously identified by their hypervariable CDR3 (Complement Determining Region 3) sequence. This is the site of V(D)J recombination encoding the principal site of antigen contact. The complexity and dynamics of the T-cell repertoire remain unknown because the potential repertoire size has made conventional sequence analysis intractable. Here, we use 5'-RACE, Illumina sequencing, and a novel short read assembly strategy to sample CDR3(beta) diversity in human T lymphocytes from peripheral blood. Assembly of 40.5 million short reads identified 33,664 distinct TCR(beta) clonotypes and provides precise measurements of CDR3(beta) length diversity, usage of nontemplated bases, sequence convergence, and preferences for TRBV (T-cell receptor beta variable gene) and TRBJ (T-cell receptor beta joining gene) gene usage and pairing. CDR3 length between conserved residues of TRBV and TRBJ ranged from 21 to 81 nucleotides (nt). TRBV gene usage ranged from 0.01% for TRBV17 to 24.6% for TRBV20-1. TRBJ gene usage ranged from 1.6% for TRBJ2-6 to 17.2% for TRBJ2-1. We identified 1573 examples of convergence where the same amino acid translation was specified by distinct CDR3(beta) nucleotide sequences. Direct sequence-based immunoprofiling will likely prove to be a useful tool for understanding repertoire dynamics in response to immune challenge, without a priori knowledge of antigen.
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Affiliation(s)
- J Douglas Freeman
- Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada
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13
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Serana F, Sottini A, Caimi L, Palermo B, Natali PG, Nisticò P, Imberti L. Identification of a public CDR3 motif and a biased utilization of T-cell receptor V beta and J beta chains in HLA-A2/Melan-A-specific T-cell clonotypes of melanoma patients. J Transl Med 2009; 7:21. [PMID: 19317896 PMCID: PMC2667493 DOI: 10.1186/1479-5876-7-21] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2009] [Accepted: 03/24/2009] [Indexed: 12/26/2022] Open
Abstract
Background Assessment of T-cell diversity, besides giving insights about the molecular basis of tumor antigen recognition, has clinical implications since it provides criteria for evaluating antigen-specific T cells clinically relevant for spontaneous and vaccine-induced anti-tumor activity. Melan-A is one of the melanoma antigens most frequently recognized by peripheral and tumor-infiltrating lymphocytes in HLA-A2+ melanoma patients. Many clinical trials involving anti-tumor vaccination have been conducted using modified versions of this peptide. Methods We conducted an in-depth characterization of 210 T-cell receptor beta chain (TRB) clonotypes derived from T cells of HLA-A2+ melanoma patients displaying cytotoxic activity against natural and A27L-modified Melan-A peptides. One hundred and thirteen Melan-A-specific clonotypes from melanoma-free subjects, 199 clonotypes from T-cell clones from melanoma patients specific for melanoma antigens other than Melan-A, and 305 clonotypes derived from T cells of HLA-A2+ individuals showing unrelated specificities, were used as control. After sequence analysis, performed according to the IMGT definitions, TRBV and TRBJ usage, CDR3 length and amino acid composition were compared in the four groups of clonotypes. Results TRB sequences of Melan-A-specific clonotypes obtained from melanoma patients were highly heterogeneous, but displayed a preferential usage of few TRBV and TRBJ segments. Furthermore, they included a recurrent "public" amino acid motif (Glycine-Leucine-Glycine at positions 110-112-113 of the CDR3) rearranged with dominant TRBV and TRBJ segments and, in one case, associated with a full conservation of the entire TRB sequence. Conclusion Contrary to what observed for public anti-Melan-A T-cell receptor alpha motifs, which had been identified in several clonotypes of both melanoma patients and healthy controls, the unexpectedly high contribution of a public TRB motif in the recognition of a dominant melanoma epitope in melanoma patients may provide important information about the biology of anti-tumor T-cell responses and improve monitoring strategies of anti-tumor vaccines.
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Affiliation(s)
- Federico Serana
- Diagnostics Department, Spedali Civili di Brescia, 25123 Brescia, Italy.
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14
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Haegert DG, Galutira D, Murray TJ, O'Connor P, Gadag V. Identical twins discordant for multiple sclerosis have a shift in their T-cell receptor repertoires. Clin Exp Immunol 2004; 134:532-7. [PMID: 14632762 PMCID: PMC1808887 DOI: 10.1111/j.1365-2249.2003.02327.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
CD4 T-cells have an important role in the autoimmune response in multiple sclerosis (MS). We investigate the possibility that a shift occurs in the T-cell receptor (TR) repertoire of identical twins discordant for MS. We compare the CDR3 spectratype distributions of 24 different TR V beta (TRBV) segments in naïve CD4 T-cells from discordant MS twins and from healthy identical twins. We also compare the CDR3 spectratype distributions in unrelated healthy pairs, formed by combining members of different healthy twins, with the CDR3 spectratype distributions in unrelated pairs of MS patients and in unrelated pairs of their apparently healthy cotwins, formed by combining members of different discordant twins. We use the correlation coefficient (r-value) as a measure of similarity of CDR3 spectratypes in each pair, and we test for the significance of the difference between r-values from the different pairs. We observe that the r-value for the CDR3 spectratype distributions among discordant twins differs significantly from the corresponding r-value for the healthy twins for two TRBV segments. Further, the r-values, for both the unrelated MS patient pairs and the unrelated pairs of their apparently healthy cotwins, differ significantly from the r-values for healthy unrelated pairs of individuals. We conclude that both the MS patients and their apparently healthy cotwins have shifts in their CDR3 repertoires. Because we study naïve CD4 T-cells, we postulate that CDR3 repertoire shifts precede MS and predispose to MS, but are unlikely to be sufficient to cause MS.
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Affiliation(s)
- D G Haegert
- Department of Pathology, Duff Medical Building, McGill University, Montreal, Quebec, Canada.
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15
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Godthelp BC, van Tol MJ, Vossen JM, van den Elsen PJ. Longitudinal analysis of T cells responding to tetanus toxoid in healthy subjects as well as in pediatric patients after bone marrow transplantation: the identification of identical TCR-CDR3 regions in time suggests long-term stability of at least part of the antigen-specific TCR repertoire. Int Immunol 2001; 13:507-18. [PMID: 11282990 DOI: 10.1093/intimm/13.4.507] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
To understand the nature of long-term Th immune responses, we investigated in the present study the TCRBV gene repertoire of CD4(+) T cells specific for the recall antigen tetanus toxoid (TT) in recipients of an allogeneic bone marrow transplantation (allo-BMT) at several time points after transplantation and in their BM donors. We observed that the TCR repertoire of TT-specific CD4(+) Th cells was heterogeneous, and differed between allo-BMT recipients and their respective donors. Some individuals, however, used similar TCR-complementarity-determining region (CDR) 3 motifs that could reflect recognition of and selection by similar promiscuous epitopes of TT. Longitudinal analysis of this TT-specific T cell response revealed that T cells with completely identical TCR were present at several time points after the first analysis in allo-BMT recipients, most probably reflecting long-term stability of at least part of the antigen-specific TCR repertoire. Similar stability of the TT-specific TCR repertoire in time was also noted in the allo-BMT donors. These observations reveal that within a given individual the dominant antigen-specific T cell clones persist in time in an otherwise diverse TT-specific CD4(+) T cell immune response.
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Affiliation(s)
- B C Godthelp
- Department of Pediatrics, Leiden University Medical Center, Building 1, E3-Q, PO Box 9600, 2300 RC Leiden, The Netherlands
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16
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Smith JL, Hodges E, Quin CT, McCarthy KP, Wright DH. Frequent T and B cell oligoclones in histologically and immunophenotypically characterized angioimmunoblastic lymphadenopathy. THE AMERICAN JOURNAL OF PATHOLOGY 2000; 156:661-9. [PMID: 10666395 PMCID: PMC1850038 DOI: 10.1016/s0002-9440(10)64770-0] [Citation(s) in RCA: 80] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The identification of clonal rearrangements of T cell receptor (TCR) genes is central to the diagnosis of T cell lymphomas. However, in angioimmunoblastic lymphadenopathy (AILD), first described as a nonneoplastic proliferation associated with immunodeficiency, the heterogeneity of TCR and IgH gene rearrangements suggest that some cases may harbor multiple lymphoid clones. In this study we have isolated DNA from archival paraffin biopsy material from 22 cases of AILD identified on the basis of classical histological and immunohistochemical features with the aim of establishing the occurrence of clones and oligoclones, the frequency of TCR and immunoglobulin heavy chain (IgH) variable (v) gene use, and the relationship of these findings to the presence of Epstein-Barr virus. DNA extracted from the biopsies was amplified using the polymerase chain reaction (PCR) and sequenced to detect functional and nonfunctional gene rearrangements. Epstein-Barr virus-encoded short RNA species (EBERs) were detected using in situ hybridization combined with immunochemistry to identify the phenotype of the Epstein-Barr virus-infected cells. Fifty-seven clonal products were found in 20/22 patients: TCRgamma clonal products were identified in 16/22, TCRbeta clonal products in 16/22 and IgH clonal products in 6/22 cases. Oligoclonal PCR products were seen for TCR in 3/22 and for IgH in 3/22 cases. In one biopsy PCR products from all reactions were polyclonal. Sequence analysis revealed functional TCRgamma, TCRbeta, and IgH sequences in 6/12, 9/11, and 8/8 cases, respectively. Functional TCR and/or IgH oligoclones were detected in 6/20 (30%) cases. In addition, nonfunctional TCR and IgH sequences were found in 11 cases. EBERs were identified in 18/20 cases varying from occasional to 25 to 30% nuclei staining and were associated with both T and B cells, although the majority were of indeterminate phenotype. The presence of EBERs was not associated with all clonal IgH gene rearrangements but was associated with B cell oligoclones. Patterns of gene recombinations indicated that the majority of TCRgamma recombinations used GV1 and GJ1S3/2S3 genes. Six out of eleven cases used TCR BV4S1 or BV2S1 genes associated with various BJ and BD1/2 genes. No common IgH gene usage was identified, but 8 clones had varying degrees of replacement and silent mutations (0.6-10.1%), consistent with B cell clones having undergone somatic mutation in the germinal center, and 3 clones harbored unmutated V genes, consistent with naive B cells. Our data do not support the concept of AILD as a clearly defined peripheral T cell lymphoma (PTCL). Rather, they suggest that AILD as defined by histology and immunohistochemistry is either a heterogeneous entity or represents a lymphoproliferation associated with immunodeficiency in which clonal T cell or B cell proliferation may occur.
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Affiliation(s)
- J L Smith
- Molecular Immunology Group of the Wessex Immunology Service, Department of Pathology, Southampton University Hospitals National Health Service Trust, Southampton, United Kingdom.
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17
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Mongkolsapaya J, Jaye A, Callan MF, Magnusen AF, McMichael AJ, Whittle HC. Antigen-specific expansion of cytotoxic T lymphocytes in acute measles virus infection. J Virol 1999; 73:67-71. [PMID: 9847308 PMCID: PMC103809 DOI: 10.1128/jvi.73.1.67-71.1999] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Skewing of the T-cell receptor repertoire of CD8(+) T cells has been shown in some persistent infections with viruses, such as human immunodeficiency virus, simian immunodeficiency virus, and Epstein-Barr virus. We have demonstrated that similar distortions also occur in nonpersistent measles virus infection. In addition, two of four children immunized with live, attenuated measles virus showed larger and more persistent CD8(+) T-cell expansions than their naturally infected counterparts. The expanded lymphocyte populations were monoclonal or oligoclonal and lysed target cells infected with recombinant vaccinia virus expressing measles virus protein. These results demonstrate that the expansions of CD8(+) T lymphocytes are antigen driven.
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Affiliation(s)
- J Mongkolsapaya
- Molecular Immunology Group, Institute of Molecular Medicine, The John Radcliffe, Headington, Oxford OX3 9DS, United Kingdom
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18
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Schelonka RL, Raaphorst FM, Infante D, Kraig E, Teale JM, Infante AJ. T cell receptor repertoire diversity and clonal expansion in human neonates. Pediatr Res 1998; 43:396-402. [PMID: 9505280 DOI: 10.1203/00006450-199803000-00015] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Newborn human infants, particularly those born prematurely, are susceptible to infection with a variety of microorganisms. We questioned whether limitations in the T cell repertoire contribute to the neonatal immunocompromised state. To describe developmental changes of the T cell repertoire, cDNA segments corresponding to third complementarity regions (CDR3) of human umbilical cord blood T cell receptors (TCR) from 24-41-wk gestational age were amplified with TCR family-specific probes. The resulting amplified CDRs were visualized by fingerprinting and single strand conformation polymorphism (SSCP) analysis. At 24-wk gestation there were no limitations in TCRBV family usage, and the degree of CDR3 size heterogeneity was not different from the adult. However, earlier in gestation, CDR3s were shorter for all families and gradually increased in size until term. The extent of oligoclonal expansion observed in cord blood was greater than in adult peripheral blood (p = 0.03). T cell oligoclonal expansion was greatest at 29-33-wk gestation and declined toward term. Expansions were detectable in both CD4+ and CD8+ subpopulations. Our findings indicate that the genetic mechanisms of repertoire diversification appear intact as early as 24 wk of gestation, but repertoire diversity is limited as a result of smaller CDR3 sizes. In addition, there was a developmentally regulated progression of oligoclonally expanded T cells. These differences in the TCRBV repertoire add to the body of evidence demonstrating immaturity of the neonatal immune system. However, the role that these subtle differences are likely to play in the relative immunodeficiency of the neonate remains to be determined.
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Affiliation(s)
- R L Schelonka
- Department of Pediatrics, USAF Medical Center, Lackland AFB, Texas, USA
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19
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Mion M, Indraccolo S, Feroli F, Minuzzo S, Masiero S, Zamarchi R, Barelli A, Borri A, Chieco-Bianchi L, Amadori A. TCR expression and clonality analysis in peripheral blood and lymph nodes of HIV-infected patients. Hum Immunol 1997; 57:93-103. [PMID: 9438200 DOI: 10.1016/s0198-8859(97)00205-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
We compared the T cell receptor (TCR) V beta gene family repertoire in peripheral blood mononuclear cells (PBMC) and lymph node (LN) cells from 7 human immunodeficiency virus (HIV)-infected patients and 3 seronegative healthy controls. Virtually all the V beta family specificities were represented in patient PBMC and LN cells, and mean values for each specificity were comparable to figures in seronegative controls. In 4 patients, however, some V beta gene segment transcripts were overrepresented in the LN compartment, compared to the peripheral blood counterpart. To ascertain whether this phenomenon was due to polyclonal or oligoclonal expansion of T cells bearing the relevant V beta gene product, we sequenced the entire CDR3 region of a panel of 238 PCR clones corresponding to the V beta transcripts expanded in LN; as control, the same regions were cloned and sequenced in patient's PBMC, and in PBMC and LN cells from seronegative individuals. This analysis disclosed preferential usage of J beta 2 genes in PBMC and LN cells from both seropositive patients and controls, regardless of the V beta gene segment considered, thus indicating that this skewness in the V beta-J beta repertoire could be a consistent feature of at least a part of the V beta repertoire in different lymphoid compartments, regardless of the pathologic conditions. In addition, in LN from HIV seropositive patients we found the presence of recurrent TCR rearrangements, accounting for 8-23% of the generated clones, in each of the 4 V beta specificities analyzed; recurrent sequences were not found in PBMC from patients nor in PBMC and LN cells from seronegative controls. These findings suggest that antigen-driven oligoclonal T cell expansions may occur in vivo in lymphoid organs of HIV seropositive patients.
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Affiliation(s)
- M Mion
- Department of Oncology and Surgical Sciences, University of Padova, Italy
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Nanki T, Kohsaka H, Mizushima N, Ollier WE, Carson DA, Miyasaka N. Genetic control of T cell receptor BJ gene expression in peripheral lymphocytes of normal and rheumatoid arthritis monozygotic twins. J Clin Invest 1996; 98:1594-601. [PMID: 8833908 PMCID: PMC507592 DOI: 10.1172/jci118953] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
The amino acids encoded at the junctions of T cell receptor (TCR) V and J genes directly interact with MHC bound peptides. However, the regulation of the human TCRBJ gene repertoire has been difficult to analyze, because of the potentially complex number of BJ gene rearrangements. To overcome this problem, we developed a PCR-ELISA method to study BJ gene expression, and compared peripheral T lymphocytes from 12 pairs of monozygotic twins, including 6 rheumatoid arthritis (RA) discordant pairs, and 5 normals. Analyses of the TCRBV5, 13 and 17 gene families, which have been reported to be increased in RA patients, showed: (a) the three TCRBV transcripts have common features of BJ gene usage; (b) TCR transcripts from each TCRBV family display a distinctive BJ gene profile, which is displayed better by CD4+ than CD8+ lymphocytes; (c) the BJ gene repertoires of monozygotic twins are more similar than those of unrelated individuals; and (d) the inflammation of RA does not induce specific changes in the genetically determined pattern of BJ expression. These results indicate that the frequency of expression particular TCRBV-TCRBJ recombinants in human lymphocytes is controlled genetically, and is maintained despite the presence of a chronic inflammatory disease.
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Affiliation(s)
- T Nanki
- First Department of Internal Medicine, Medical Research Institute, Tokyo Medical and Dental University, Japan
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21
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Burrows SR, Silins SL, Moss DJ, Khanna R, Misko IS, Argaet VP. T cell receptor repertoire for a viral epitope in humans is diversified by tolerance to a background major histocompatibility complex antigen. J Exp Med 1995; 182:1703-15. [PMID: 7500015 PMCID: PMC2192251 DOI: 10.1084/jem.182.6.1703] [Citation(s) in RCA: 153] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Two unusual characteristics of the memory response to the immunodominant Epstein-Barr virus (EBV) epitope FLRGRAYGL, which associates with HLA B8, have provided an unique opportunity to investigate self tolerance and T cell receptor (TCR) plasticity in humans. First, the response is exceptionally restricted, dominated by cytotoxic T lymphocytes (CTL) with identical TCR protein sequences (Argaet, V. P., C. W. Schmidt, S. R. Burrows, S. L. Silins, M. G. Kurilla, D. L. Doolan, A. Suhrbier, D. J. Moss, E. Kieff, T. B. Sculley, and I. S. Misko. 1994. J. Exp. Med. 180:2335-2340). Second, CTL expressing this receptor are cross-reactive with the alloantigen HLA B* 4402 on uninfected cells (Burrows, S. R., R. Khanna, J. M. Burrows, and D. J. Moss. 1994. J. Exp. Med. 179:1155-1161). No CTL using this conserved public TCR could be reactivated from the peripheral blood of EBV exposed individuals expressing both HLA B8 and B*4402, demonstrating the clonal inactivation of potentially self-reactive T cells in humans. A significant FLRGRAYGL-specific response was still apparent, however, and TCR sequence analysis of multiple CTL clones revealed an oligoclonal TCR repertoire for this determinant within these individuals, using diverse V and J gene segments and CDR3 regions. In addition, a significant public TCR component was identified in which several distinct alpha/beta rearrangements are shared by CTL clones from a number of unrelated HLA B8+, B*4402+ donors. The striking dominance of public TCR in the response to this EBV epitope suggests a strong genetic bias in TCR gene recombination. Fine specificity analysis using peptide analogues showed that, of six different antigen receptors for FLRGRAYGL/HLA B8, none associate closely with the peptide's full array of potential TCR contact residues. Whereas the HLA B*4402-cross-reactive receptor binds amino acids toward the COOH terminus of the peptide, others preferentially favor an NH2-terminal determinant, presumably evading an area that mimics a structure presented on HLA B*4402. Thus, tolerance to a background major histocompatibility antigen can effectively diversify the TCR repertoire for a foreign epitope by deflecting the response away from an immunodominant combination of TCR-binding residues.
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MESH Headings
- Amino Acid Sequence
- Antigens, Viral/immunology
- Base Sequence
- Cells, Cultured
- Cytotoxicity, Immunologic
- DNA Primers/chemistry
- Gene Rearrangement, alpha-Chain T-Cell Antigen Receptor
- Gene Rearrangement, beta-Chain T-Cell Antigen Receptor
- HLA-B Antigens/immunology
- Herpesviridae Infections/immunology
- Herpesvirus 4, Human/immunology
- Humans
- Immune Tolerance
- Immunologic Memory
- Molecular Sequence Data
- Peptides/chemistry
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- T-Lymphocytes, Cytotoxic/immunology
- Tumor Virus Infections/immunology
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Affiliation(s)
- S R Burrows
- Queensland Institute of Medical Research, Brisbane, Australia
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22
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Affiliation(s)
- S J Bowman
- Molecular Immunogenetics Unit, United Medical and Dental School, London, UK
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