1
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Cai C, Keoshkerian E, Wing K, Samir J, Effenberger M, Schober K, Bull RA, Lloyd AR, Busch DH, Luciani F. Discovery of a monoclonal, high-affinity CD8 + T-cell clone following natural hepatitis C virus infection. Immunol Cell Biol 2024; 102:630-641. [PMID: 38855806 DOI: 10.1111/imcb.12791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/11/2024]
Abstract
CD8+ T cells recognizing their cognate antigen are typically recruited as a polyclonal population consisting of multiple clonotypes with varying T-cell receptor (TCR) affinity to the target peptide-major histocompatibility complex (pMHC) complex. Advances in single-cell sequencing have increased accessibility toward identifying TCRs with matched antigens. Here we present the discovery of a monoclonal CD8+ T-cell population with specificity for a hepatitis C virus (HCV)-derived human leukocyte antigen (HLA) class I epitope (HLA-B*07:02 GPRLGVRAT) which was isolated directly ex vivo from an individual with an episode of acutely resolved HCV infection. This population was absent before infection and underwent expansion and stable maintenance for at least 2 years after infection as measured by HLA-multimer staining. Furthermore, the monoclonal clonotype was characterized by an unusually long dissociation time (half-life = 794 s and koff = 5.73 × 10-4) for its target antigen when compared with previously published results. A comparison with related populations of HCV-specific populations derived from the same individual and a second individual suggested that high-affinity TCR-pMHC interactions may be inherent to epitope identity and shape the phenotype of responses which has implications for rational TCR selection and design in the age of personalized immunotherapies.
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Affiliation(s)
- Curtis Cai
- School of Biomedical Sciences, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
- The Kirby Institute, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Elizabeth Keoshkerian
- The Kirby Institute, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Kristof Wing
- School of Medicine and Health, Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Munich, Germany
| | - Jerome Samir
- School of Biomedical Sciences, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Manuel Effenberger
- School of Medicine and Health, Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Munich, Germany
| | - Kilian Schober
- Mikrobiologisches Institut - Klinische Mikrobiologie, Immunologie und Hygiene Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Rowena A Bull
- School of Biomedical Sciences, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
- The Kirby Institute, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Andrew R Lloyd
- The Kirby Institute, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Dirk H Busch
- School of Medicine and Health, Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Munich, Germany
- German Center for Infection Research (Deutsches Zentrum für Infektionsforschung), Partner Site Munich, Munich, Germany
| | - Fabio Luciani
- School of Biomedical Sciences, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
- The Kirby Institute, Faculty of Health and Medicine, UNSW Sydney, Sydney, NSW, Australia
- Cellular Genomics Future Institute, UNSW Sydney, Sydney, NSW, Australia
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA
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2
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Tiffeau-Mayer A. Unbiased estimation of sampling variance for Simpson's diversity index. Phys Rev E 2024; 109:064411. [PMID: 39020976 DOI: 10.1103/physreve.109.064411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 06/03/2024] [Indexed: 07/20/2024]
Abstract
Quantification of measurement uncertainty is crucial for robust scientific inference, yet accurate estimates of this uncertainty remain elusive for ecological measures of diversity. Here, we address this longstanding challenge by deriving a closed-form unbiased estimator for the sampling variance of Simpson's diversity index. In numerical tests the estimator consistently outperforms existing approaches, particularly for applications in which species richness exceeds sample size. We apply the estimator to quantify biodiversity loss in marine ecosystems and to demonstrate ligand-dependent contributions of T-cell-receptor chains to specificity, illustrating its versatility across fields. The novel estimator provides researchers with a reliable method for comparing diversity between samples, essential for quantifying biodiversity trends and making informed conservation decisions.
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3
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Jiang F, Guo Y, Ma H, Na S, Zhong W, Han Y, Wang T, Huang J. GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Brief Bioinform 2024; 25:bbae343. [PMID: 39007599 PMCID: PMC11247411 DOI: 10.1093/bib/bbae343] [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: 01/29/2024] [Revised: 05/15/2024] [Accepted: 07/01/2024] [Indexed: 07/16/2024] Open
Abstract
The interaction between T-cell receptors (TCRs) and peptides (epitopes) presented by major histocompatibility complex molecules (MHC) is fundamental to the immune response. Accurate prediction of TCR-epitope interactions is crucial for advancing the understanding of various diseases and their prevention and treatment. Existing methods primarily rely on sequence-based approaches, overlooking the inherent topology structure of TCR-epitope interaction networks. In this study, we present $GTE$, a novel heterogeneous Graph neural network model based on inductive learning to capture the topological structure between TCRs and Epitopes. Furthermore, we address the challenge of constructing negative samples within the graph by proposing a dynamic edge update strategy, enhancing model learning with the nonbinding TCR-epitope pairs. Additionally, to overcome data imbalance, we adapt the Deep AUC Maximization strategy to the graph domain. Extensive experiments are conducted on four public datasets to demonstrate the superiority of exploring underlying topological structures in predicting TCR-epitope interactions, illustrating the benefits of delving into complex molecular networks. The implementation code and data are available at https://github.com/uta-smile/GTE.
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Affiliation(s)
- Feng Jiang
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
| | - Yuzhi Guo
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
| | - Hehuan Ma
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
| | - Saiyang Na
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
| | - Wenliang Zhong
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
| | - Yi Han
- Public Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, TX 75390, United States
| | - Tao Wang
- Public Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, TX 75390, United States
| | - Junzhou Huang
- Department of Computer Science and Engineering, University of Texas at Arlington, 701 S. Nedderman Drive, TX 76019, United States
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4
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Jin Y, Miyama T, Brown A, Hayase T, Song X, Singh AK, Huang L, Flores II, McDaniel LK, Glover I, Halsey TM, Prasad R, Chapa V, Ahmed S, Zhang J, Rai K, Peterson CB, Lizee G, Karmouch J, Hayase E, Molldrem JJ, Chang CC, Tsai WB, Jenq RR. Tsyn-Seq: a T-cell Synapse-Based Antigen Identification Platform. Cancer Immunol Res 2024; 12:530-543. [PMID: 38363296 PMCID: PMC11065584 DOI: 10.1158/2326-6066.cir-23-0467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/02/2023] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Tools for genome-wide rapid identification of peptide-major histocompatibility complex targets of T-cell receptors (TCR) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APC) with a Fas-inducible NF-κB reporter and T cells with a nuclear factor of activated T cells (NFAT) reporter. To functionally screen for target antigens from a cDNA library, productively interacting T cell-APC aggregates were detected by dual-reporter activity and enriched by flow sorting followed by antigen identification quantified by deep sequencing (Tsyn-seq). When applied to a previously characterized TCR specific for the E7 antigen derived from human papillomavirus type 16 (HPV16), Tsyn-seq successfully enriched the correct cognate antigen from a cDNA library derived from an HPV16-positive cervical cancer cell line. Tsyn-seq provides a method for rapidly identifying antigens recognized by TCRs of interest from a tumor cDNA library. See related Spotlight by Makani and Joglekar, p. 515.
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Affiliation(s)
- Yimei Jin
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Takahiko Miyama
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Alexandria Brown
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Tomo Hayase
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Anand K. Singh
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Licai Huang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Ivonne I. Flores
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Lauren K. McDaniel
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Israel Glover
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Taylor M. Halsey
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Rishika Prasad
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Valerie Chapa
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Saira Ahmed
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Kunal Rai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Christine B. Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Gregory Lizee
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jennifer Karmouch
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Eiko Hayase
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Jeffrey J. Molldrem
- Department of Hematopoietic Biology & Malignancy, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Chia-Chi Chang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Wen-Bin Tsai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Robert R. Jenq
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
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5
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Tayebi Z, Ali S, Murad T, Khan I, Patterson M. PseAAC2Vec protein encoding for TCR protein sequence classification. Comput Biol Med 2024; 170:107956. [PMID: 38217977 DOI: 10.1016/j.compbiomed.2024.107956] [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: 08/14/2023] [Revised: 12/07/2023] [Accepted: 01/01/2024] [Indexed: 01/15/2024]
Abstract
The classification and prediction of T-cell receptors (TCRs) protein sequences are of significant interest in understanding the immune system and developing personalized immunotherapies. In this study, we propose a novel approach using Pseudo Amino Acid Composition (PseAAC) protein encoding for accurate TCR protein sequence classification. The PseAAC2Vec encoding method captures the physicochemical properties of amino acids and their local sequence information, enabling the representation of protein sequences as fixed-length feature vectors. By incorporating physicochemical properties such as hydrophobicity, polarity, charge, molecular weight, and solvent accessibility, PseAAC2Vec provides a comprehensive and informative characterization of TCR protein sequences. To evaluate the effectiveness of the proposed PseAAC2Vec encoding approach, we assembled a large dataset of TCR protein sequences with annotated classes. We applied the PseAAC2Vec encoding scheme to each sequence and generated feature vectors based on a specified window size. Subsequently, we employed state-of-the-art machine learning algorithms, such as support vector machines (SVM) and random forests (RF), to classify the TCR protein sequences. Experimental results on the benchmark dataset demonstrated the superior performance of the PseAAC2Vec-based approach compared to existing methods. The PseAAC2Vec encoding effectively captures the discriminative patterns in TCR protein sequences, leading to improved classification accuracy and robustness. Furthermore, the encoding scheme showed promising results across different window sizes, indicating its adaptability to varying sequence contexts.
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Affiliation(s)
- Zahra Tayebi
- Department of Computer Science, Georgia State University, Atlanta, 30303, GA, USA.
| | - Sarwan Ali
- Department of Computer Science, Georgia State University, Atlanta, 30303, GA, USA.
| | - Taslim Murad
- Department of Computer Science, Georgia State University, Atlanta, 30303, GA, USA.
| | - Imdadullah Khan
- Department of Computer Science, Lahore University of Management Sciences, Lahore, Punjab, Pakistan.
| | - Murray Patterson
- Department of Computer Science, Georgia State University, Atlanta, 30303, GA, USA.
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6
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Srivastava PK. Cancer neoepitopes viewed through negative selection and peripheral tolerance: a new path to cancer vaccines. J Clin Invest 2024; 134:e176740. [PMID: 38426497 PMCID: PMC10904052 DOI: 10.1172/jci176740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
A proportion of somatic mutations in tumors create neoepitopes that can prime T cell responses that target the MHC I-neoepitope complexes on tumor cells, mediating tumor control or rejection. Despite the compelling centrality of neoepitopes to cancer immunity, we know remarkably little about what constitutes a neoepitope that can mediate tumor control in vivo and what distinguishes such a neoepitope from the vast majority of similar candidate neoepitopes that are inefficacious in vivo. Studies in mice as well as clinical trials have begun to reveal the unexpected paradoxes in this area. Because cancer neoepitopes straddle that ambiguous ground between self and non-self, some rules that are fundamental to immunology of frankly non-self antigens, such as viral or model antigens, do not appear to apply to neoepitopes. Because neoepitopes are so similar to self-epitopes, with only small changes that render them non-self, immune response to them is regulated at least partially the way immune response to self is regulated. Therefore, neoepitopes are viewed and understood here through the clarifying lens of negative thymic selection. Here, the emergent questions in the biology and clinical applications of neoepitopes are discussed critically and a mechanistic and testable framework that explains the complexity and translational potential of these wonderful antigens is proposed.
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7
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Mitchell AM, Baschal EE, McDaniel KA, Fleury T, Choi H, Pyle L, Yu L, Rewers MJ, Nakayama M, Michels AW. Tracking DNA-based antigen-specific T cell receptors during progression to type 1 diabetes. SCIENCE ADVANCES 2023; 9:eadj6975. [PMID: 38064552 PMCID: PMC10708189 DOI: 10.1126/sciadv.adj6975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023]
Abstract
T cells targeting self-proteins are important mediators in autoimmune diseases. T cells express unique cell-surface receptors (TCRs) that recognize peptides presented by major histocompatibility molecules. TCRs have been identified from blood and pancreatic islets of individuals with type 1 diabetes (T1D). Here, we tracked ~1700 known antigen-specific TCR sequences, islet antigen or viral reactive, in bulk TCRβ sequencing from longitudinal blood DNA samples in at-risk cases who progressed to T1D, age/sex/human leukocyte antigen-matched controls, and a new-onset T1D cohort. Shared and frequent antigen-specific TCRβ sequences were identified in all three cohorts, and viral sequences were present across all ages. Islet sequences had different patterns of accumulation based upon antigen specificity in the at-risk cases. Furthermore, 73 islet-antigen TCRβ sequences were present in higher frequencies and numbers in T1D samples relative to controls. The total number of these disease-associated TCRβ sequences inversely correlated with age at clinical diagnosis, indicating the potential to use disease-relevant TCR sequences as biomarkers in autoimmune disorders.
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Affiliation(s)
- Angela M. Mitchell
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Erin E. Baschal
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kristen A. McDaniel
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Theodore Fleury
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Hyelin Choi
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Laura Pyle
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Marian J. Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maki Nakayama
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Aaron W. Michels
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology, University of Colorado School of Medicine, Aurora, CO, USA
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8
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Gibadullin R, Morris RK, Niu J, Sidney J, Sette A, Gellman SH. Thioamide Analogues of MHC I Antigen Peptides. J Am Chem Soc 2023; 145:25559-25569. [PMID: 37968794 PMCID: PMC10782604 DOI: 10.1021/jacs.3c05300] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Short, synthetic peptides that are displayed by major histocompatibility complex I (MHC I) can stimulate CD8 T cells in vivo to destroy virus-infected or cancer cells. The development of such peptides as vaccines that provide protective immunity, however, is limited by rapid proteolytic degradation. Introduction of unnatural amino acid residues can suppress MHC I antigen proteolysis, but the modified peptides typically display lower affinity for MHC I and/or diminished ability to activate CD8 T cells relative to native antigen. Here, we report a new strategy for modifying MHC I antigens to enhance resistance to proteolysis while preserving MHC I affinity and T cell activation properties. This approach, replacing backbone amide groups with thioamides, was evaluated in two well-characterized antigens presented by HLA-A2, a common human MHC I. For each antigen, singly modified thioamide analogues retained affinity for HLA-A2 and activated T cells specific for the native antigen, as measured via interferon-γ secretion. In each system, we identified a highly potent triply substituted thioamide antigen ("thio-antigen") that displayed substantial resistance to proteolytic cleavage. Collectively, our results suggest that thio-antigens may represent a general and readily accessible source of potent vaccine candidates that resist degradation.
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Affiliation(s)
- Ruslan Gibadullin
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
- Present address: Department of Chemistry, The Scripps Research Institute, La Jolla, California 92037, United States
| | - Rylie K. Morris
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Jiani Niu
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - John Sidney
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, United States
| | - Alessandro Sette
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, United States
- Department of Medicine, University of California, San Diego, California 92093, United States
| | - Samuel H. Gellman
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
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9
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van de Sandt CE, Nguyen THO, Gherardin NA, Crawford JC, Samir J, Minervina AA, Pogorelyy MV, Rizzetto S, Szeto C, Kaur J, Ranson N, Sonda S, Harper A, Redmond SJ, McQuilten HA, Menon T, Sant S, Jia X, Pedrina K, Karapanagiotidis T, Cain N, Nicholson S, Chen Z, Lim R, Clemens EB, Eltahla A, La Gruta NL, Crowe J, Lappas M, Rossjohn J, Godfrey DI, Thomas PG, Gras S, Flanagan KL, Luciani F, Kedzierska K. Newborn and child-like molecular signatures in older adults stem from TCR shifts across human lifespan. Nat Immunol 2023; 24:1890-1907. [PMID: 37749325 PMCID: PMC10602853 DOI: 10.1038/s41590-023-01633-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/24/2023] [Indexed: 09/27/2023]
Abstract
CD8+ T cells provide robust antiviral immunity, but how epitope-specific T cells evolve across the human lifespan is unclear. Here we defined CD8+ T cell immunity directed at the prominent influenza epitope HLA-A*02:01-M158-66 (A2/M158) across four age groups at phenotypic, transcriptomic, clonal and functional levels. We identify a linear differentiation trajectory from newborns to children then adults, followed by divergence and a clonal reset in older adults. Gene profiles in older adults closely resemble those of newborns and children, despite being clonally distinct. Only child-derived and adult-derived A2/M158+CD8+ T cells had the potential to differentiate into highly cytotoxic epitope-specific CD8+ T cells, which was linked to highly functional public T cell receptor (TCR)αβ signatures. Suboptimal TCRαβ signatures in older adults led to less proliferation, polyfunctionality, avidity and recognition of peptide mutants, although displayed no signs of exhaustion. These data suggest that priming T cells at different stages of life might greatly affect CD8+ T cell responses toward viral infections.
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Affiliation(s)
- Carolien E van de Sandt
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Hematopoiesis, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Nicholas A Gherardin
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | | | - Jerome Samir
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | | | - Mikhail V Pogorelyy
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Simone Rizzetto
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Christopher Szeto
- Viral and Structural Immunology Laboratory, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jasveen Kaur
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Nicole Ranson
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Sabrina Sonda
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Alice Harper
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Samuel J Redmond
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Hayley A McQuilten
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Tejas Menon
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Sneha Sant
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Xiaoxiao Jia
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Kate Pedrina
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Theo Karapanagiotidis
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Natalie Cain
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Suellen Nicholson
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Zhenjun Chen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Ratana Lim
- Obstetrics, Nutrition and Endocrinology Group, Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - E Bridie Clemens
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Auda Eltahla
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Nicole L La Gruta
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jane Crowe
- Deepdene Surgery, Deepdene, Victoria, Australia
| | - Martha Lappas
- Obstetrics, Nutrition and Endocrinology Group, Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Jamie Rossjohn
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Institute of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Dale I Godfrey
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stephanie Gras
- Viral and Structural Immunology Laboratory, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Katie L Flanagan
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
- School of Health and Biomedical Science, RMIT University, Melbourne, Victoria, Australia
- Tasmanian Vaccine Trial Centre, Clifford Craig Foundation, Launceston General Hospital, Launceston, Tasmania, Australia
| | - Fabio Luciani
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
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10
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Seitz V, Gennermann K, Elezkurtaj S, Groth D, Schaper S, Dröge A, Lachmann N, Berg E, Lenze D, Kühl AA, Husemann C, Kleo K, Horst D, Lennerz V, Hennig S, Hummel M, Schumann M. Specific T-cell receptor beta-rearrangements of gluten-triggered CD8 + T-cells are enriched in celiac disease patients' duodenal mucosa. Clin Immunol 2023; 256:109795. [PMID: 37769786 DOI: 10.1016/j.clim.2023.109795] [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: 07/13/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/02/2023]
Abstract
Celiac disease (CeD) is an autoimmune disorder affecting the small intestine with gluten as disease trigger. Infections including Influenza A, increase the CeD risk. While gluten-specific CD4+ T-cells, recognizing HLA-DQ2/DQ8 presented gluten-peptides, initiate and sustain the celiac immune response, CD8+ α/β intraepithelial T-cells elicit mucosal damage. Here, we subjected TCRs from a cohort of 56 CeD patients and 22 controls to an analysis employing 749 published CeD-related TCRβ-rearrangements derived from gluten-specific CD4+ T-cells and gluten-triggered peripheral blood CD8+ T-cells. We show, that in addition to TCRs from gluten-specific CD4+ T-cells, TCRs of gluten-triggered CD8+ T-cells are significantly enriched in CeD duodenal tissue samples. TCRβ-rearrangements of gluten-triggered CD8+ T-cells were even more expanded in patients than TCRs from gluten-specific CD4+ T-cells (p < 0.0002) and highest in refractory CeD. Sequence alignments with TCR-antigen databases suggest that a subgroup of these most likely indirectly gluten-triggered TCRs recognize microbial, viral, and autoantigens.
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Affiliation(s)
- V Seitz
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; HS Diagnomics GmbH, Berlin, Germany
| | | | - S Elezkurtaj
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Groth
- Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | | | - A Dröge
- HS Diagnomics GmbH, Berlin, Germany
| | - N Lachmann
- Centre for Tumor Medicine, Histocompatibility & Immunogenetics Laboratory, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - E Berg
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Lenze
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - A A Kühl
- iPATH.Berlin - Core Unit of the Charité Universitätsmedizin Berlin, corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - C Husemann
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, Berlin, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - K Kleo
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - D Horst
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - S Hennig
- HS Diagnomics GmbH, Berlin, Germany
| | - M Hummel
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, Berlin, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Schumann
- Medizinische Klinik m. S. Gastroenterologie, Infektiologie und Rheumatologie, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
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11
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Weng NP. Numbers and odds: TCR repertoire size and its age changes impacting on T cell functions. Semin Immunol 2023; 69:101810. [PMID: 37515916 PMCID: PMC10530048 DOI: 10.1016/j.smim.2023.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
A vast array of αβ T cell receptors (TCRs) is generated during T cell development in the thymus through V(D)J recombination, which involves the rearrangement of multiple V, D, and J genes and the pairing of α and β chains. These diverse TCRs provide protection to the human body against a multitude of foreign pathogens and internal cancer cells. The entirety of TCRs present in an individual's T cells is referred to as the TCR repertoire. Despite an estimated 4 × 1011 T cells in the adult human body, the lower bound estimate for the TCR repertoire is 3.8 × 108. While the number of circulating T cells may slightly decrease with age, the changes in the diversity of the TCR repertoire is more apparent. Here, I review recent advancements in TCR repertoire studies, the methods used to measure it, how richness and diversity change as humans age, and some of the known consequences associated with these changes.
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MESH Headings
- Adult
- Humans
- T-Lymphocytes/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
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Affiliation(s)
- Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
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12
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Hudson D, Fernandes RA, Basham M, Ogg G, Koohy H. Can we predict T cell specificity with digital biology and machine learning? Nat Rev Immunol 2023; 23:511-521. [PMID: 36755161 PMCID: PMC9908307 DOI: 10.1038/s41577-023-00835-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 02/10/2023]
Abstract
Recent advances in machine learning and experimental biology have offered breakthrough solutions to problems such as protein structure prediction that were long thought to be intractable. However, despite the pivotal role of the T cell receptor (TCR) in orchestrating cellular immunity in health and disease, computational reconstruction of a reliable map from a TCR to its cognate antigens remains a holy grail of systems immunology. Current data sets are limited to a negligible fraction of the universe of possible TCR-ligand pairs, and performance of state-of-the-art predictive models wanes when applied beyond these known binders. In this Perspective article, we make the case for renewed and coordinated interdisciplinary effort to tackle the problem of predicting TCR-antigen specificity. We set out the general requirements of predictive models of antigen binding, highlight critical challenges and discuss how recent advances in digital biology such as single-cell technology and machine learning may provide possible solutions. Finally, we describe how predicting TCR specificity might contribute to our understanding of the broader puzzle of antigen immunogenicity.
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Affiliation(s)
- Dan Hudson
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- The Rosalind Franklin Institute, Didcot, UK
| | - Ricardo A Fernandes
- Chinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK
| | | | - Graham Ogg
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Chinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK
| | - Hashem Koohy
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
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13
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Li X, Liang H, Fan J. Prospects of Cytomegalovirus-Specific T-Cell Receptors in Clinical Diagnosis and Therapy. Viruses 2023; 15:1334. [PMID: 37376633 DOI: 10.3390/v15061334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/03/2023] [Accepted: 06/04/2023] [Indexed: 06/29/2023] Open
Abstract
Human cytomegalovirus (HCMV) is responsible for widespread infections worldwide. In immunocompetent individuals it is typically latent, while infection or reactivation in immunocompromised individuals can result in severe clinical symptoms or even death. Although there has been significant progress in the treatment and diagnosis of HCMV infection in recent years, numerous shortcomings and developmental limitations persist. There is an urgent need to develop innovative, safe, and effective treatments, as well as to explore early and timely diagnostic strategies for HCMV infection. Cell-mediated immune responses are the primary factor controlling HCMV infection and replication, but the protective role of humoral immune responses remains controversial. T-cells, key effector cells of the cellular immune system, are critical for clearing and preventing HCMV infection. The T-cell receptor (TCR) lies at the heart of T-cell immune responses, and its diversity enables the immune system to differentiate between self and non-self. Given the significant influence of cellular immunity on human health and the indispensable role of the TCR in T-cell immune responses, we posit that the impact of TCR on the development of novel diagnostic and prognostic methods, as well as on patient monitoring and management of clinical HCMV infection, will be far-reaching and profound. High-throughput and single-cell sequencing technologies have facilitated unprecedented quantitative detection of TCR diversity. With these current sequencing technologies, researchers have already obtained a vast number of TCR sequences. It is plausible that in the near future studies on TCR repertoires will be instrumental in assessing vaccine efficacy, immunotherapeutic strategies, and the early diagnosis of HCMV infection.
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Affiliation(s)
- Xuejie Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Hanying Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jun Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
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14
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Zúñiga TM, Baker FL, Smith KA, Batatinha H, Lau B, Burgess SC, Gustafson MP, Katsanis E, Simpson RJ. Clonal Kinetics and Single-Cell Transcriptional Profiles of T Cells Mobilized to Blood by Acute Exercise. Med Sci Sports Exerc 2023; 55:991-1002. [PMID: 36719647 DOI: 10.1249/mss.0000000000003130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
PURPOSE Acute exercise redistributes large numbers of memory T cells, which may contribute to enhanced immune surveillance in regular exercisers. It is not known, however, if acute exercise promotes a broad or oligoclonal T-cell receptor (TCR) repertoire or evokes transcriptomic changes in "exercise-responsive" T-cell clones. METHODS Healthy volunteers completed a graded bout of cycling exercise up to 80% V̇O 2max . DNA was extracted from peripheral blood mononuclear cells collected at rest, during exercise (EX), and 1 h after (+1H) exercise, and processed for deep TCR-β chain sequencing and tandem single-cell RNA sequencing. RESULTS The number of unique clones and unique rearrangements was decreased at EX compared with rest ( P < 0.01) and +1H ( P < 0.01). Productive clonality was increased compared with rest ( P < 0.05) and +1H ( P < 0.05), whereas Shannon's Index was decreased compared with rest ( P < 0.05) and +1H ( P < 0.05). The top 10 rearrangements in the repertoire were increased at EX compared with rest ( P < 0.05) and +1H ( P < 0.05). Cross-referencing TCR-β sequences with a public database (VDJdb) revealed that exercise increased the number of clones specific for the most prevalent motifs, including Epstein-Barr virus, cytomegalovirus, and influenza A. We identified 633 unique exercise-responsive T-cell clones that were mobilized and/or egressed in response to exercise. Among these clones, there was an upregulation in genes related to cell death, cytotoxicity, and activation ( P < 0.05). CONCLUSIONS Acute exercise promotes an oligoclonal T-cell repertoire by preferentially mobilizing the most dominant clones, several of which are specific to known viral antigens and display differentially expressed genes indicative of cytotoxicity, activation, and apoptosis.
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MESH Headings
- Humans
- T-Lymphocytes
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
- Epstein-Barr Virus Infections/metabolism
- Leukocytes, Mononuclear/metabolism
- Herpesvirus 4, Human/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Clone Cells/metabolism
- Exercise
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Affiliation(s)
- Tiffany M Zúñiga
- School of Nutritional Sciences and Wellness, The University of Arizona, Tucson, AZ
| | - Forrest L Baker
- School of Nutritional Sciences and Wellness, The University of Arizona, Tucson, AZ
| | - Kyle A Smith
- School of Nutritional Sciences and Wellness, The University of Arizona, Tucson, AZ
| | | | - Branden Lau
- The University of Arizona Genetics Core, The University of Arizona, Tucson, AZ
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15
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Xu AM, Chour W, DeLucia DC, Su Y, Pavlovitch-Bedzyk AJ, Ng R, Rasheed Y, Davis MM, Lee JK, Heath JR. Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities. Cell Syst 2023; 14:273-284.e5. [PMID: 37001518 PMCID: PMC10355346 DOI: 10.1016/j.cels.2023.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 09/01/2022] [Accepted: 03/01/2023] [Indexed: 04/22/2023]
Abstract
Antigen-specific T cell receptor (TCR) sequences can have prognostic, predictive, and therapeutic value, but decoding the specificity of TCR recognition remains challenging. Unlike DNA strands that base pair, TCRs bind to their targets with different orientations and different lengths, which complicates comparisons. We present scanning parametrized by normalized TCR length (SPAN-TCR) to analyze antigen-specific TCR CDR3 sequences and identify patterns driving TCR-pMHC specificity. Using entropic analysis, SPAN-TCR identifies 2-mer motifs that decrease the diversity (entropy) of CDR3s. These motifs are the most common patterns that can predict CDR3 composition, and we identify "essential" motifs that decrease entropy in the same CDR3 α or β chain containing the 2-mer, and "super-essential" motifs that decrease entropy in both chains. Molecular dynamics analysis further suggests that these motifs may play important roles in binding. We then employ SPAN-TCR to resolve similarities in TCR repertoires against different antigens using public databases of TCR sequences.
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Affiliation(s)
- Alexander M Xu
- Institute for Systems Biology, Seattle, WA 98109, USA; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
| | - William Chour
- Institute for Systems Biology, Seattle, WA 98109, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA 91125, USA
| | - Diana C DeLucia
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Yapeng Su
- Institute for Systems Biology, Seattle, WA 98109, USA; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | | | - Rachel Ng
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Yusuf Rasheed
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Mark M Davis
- Computational and Systems Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - John K Lee
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - James R Heath
- Institute for Systems Biology, Seattle, WA 98109, USA.
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16
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Wu D, Efimov GA, Bogolyubova AV, Pierce BG, Mariuzza RA. Structural insights into protection against a SARS-CoV-2 spike variant by T cell receptor diversity. J Biol Chem 2023; 299:103035. [PMID: 36806685 PMCID: PMC9934920 DOI: 10.1016/j.jbc.2023.103035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/06/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
T cells play a crucial role in combatting SARS-CoV-2 and forming long-term memory responses to this coronavirus. The emergence of SARS-CoV-2 variants that can evade T cell immunity has raised concerns about vaccine efficacy and the risk of reinfection. Some SARS-CoV-2 T cell epitopes elicit clonally restricted CD8+ T cell responses characterized by T cell receptors (TCRs) that lack structural diversity. Mutations in such epitopes can lead to loss of recognition by most T cells specific for that epitope, facilitating viral escape. Here, we studied an HLA-A2-restricted spike protein epitope (RLQ) that elicits CD8+ T cell responses in COVID-19 convalescent patients characterized by highly diverse TCRs. We previously reported the structure of an RLQ-specific TCR (RLQ3) with greatly reduced recognition of the most common natural variant of the RLQ epitope (T1006I). Opposite to RLQ3, TCR RLQ7 recognizes T1006I with even higher functional avidity than the WT epitope. To explain the ability of RLQ7, but not RLQ3, to tolerate the T1006I mutation, we determined structures of RLQ7 bound to RLQ-HLA-A2 and T1006I-HLA-A2. These complexes show that there are multiple structural solutions to recognizing RLQ and thereby generating a clonally diverse T cell response to this epitope that assures protection against viral escape and T cell clonal loss.
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Affiliation(s)
- Daichao Wu
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China; W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA
| | | | | | - Brian G Pierce
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA
| | - Roy A Mariuzza
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA.
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17
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Gao Y, Bergman I. Anti-tumor memory CD4 and CD8 T-cells quantified by bulk T-cell receptor (TCR) clonal analysis. Front Immunol 2023; 14:1137054. [PMID: 37033929 PMCID: PMC10076582 DOI: 10.3389/fimmu.2023.1137054] [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: 01/03/2023] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Simple, reliable methods to detect anti-tumor memory T-cells are necessary to develop a clinical tumor vaccination program. A mouse model of curative viral onco-immunotherapy found that peritoneal tumor challenge following cure identified an oligoclonal anti-tumor memory CD4 and CD8 T-cell response. Clonotypes differed among the challenged animals but were congruent in blood, spleen and peritoneal cells (PC) of the same animal. Adoptive transfer demonstrated that the high-frequency responding T-cells were tumor specific. Tetramer analysis confirmed that clonotype frequency determined by T-cell receptor (TCR)- chain (TRB) analysis closely approximated cell clone frequency. The mean frequency of resting anti-tumor memory CD4 T-cells in unchallenged spleen was 0.028% and of memory CD8 T-cells was 0.11% which was not high enough to distinguish them from background. Stimulation produced a mean ~10-fold increase in splenic and 100-fold increase in peritoneal anti-tumor memory T-cell clonotypes. This methodology can be developed to use blood and tissue sampling to rapidly quantify the effectiveness of a tumor vaccine or any vaccine generating therapeutic T-cells.
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Affiliation(s)
- Yanhua Gao
- Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Ira Bergman
- Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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18
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Corcoran M, Chernyshev M, Mandolesi M, Narang S, Kaduk M, Ye K, Sundling C, Färnert A, Kreslavsky T, Bernhardsson C, Larena M, Jakobsson M, Karlsson Hedestam GB. Archaic humans have contributed to large-scale variation in modern human T cell receptor genes. Immunity 2023; 56:635-652.e6. [PMID: 36796364 DOI: 10.1016/j.immuni.2023.01.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/21/2022] [Accepted: 01/23/2023] [Indexed: 02/18/2023]
Abstract
Human T cell receptors (TCRs) are critical for mediating immune responses to pathogens and tumors and regulating self-antigen recognition. Yet, variations in the genes encoding TCRs remain insufficiently defined. Detailed analysis of expressed TCR alpha, beta, gamma, and delta genes in 45 donors from four human populations-African, East Asian, South Asian, and European-revealed 175 additional TCR variable and junctional alleles. Most of these contained coding changes and were present at widely differing frequencies in the populations, a finding confirmed using DNA samples from the 1000 Genomes Project. Importantly, we identified three Neanderthal-derived, introgressed TCR regions including a highly divergent TRGV4 variant, which mediated altered butyrophilin-like molecule 3 (BTNL3) ligand reactivity and was frequent in all modern Eurasian population groups. Our results demonstrate remarkable variation in TCR genes in both individuals and populations, providing a strong incentive for including allelic variation in studies of TCR function in human biology.
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Affiliation(s)
- Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
| | - Mark Chernyshev
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Marco Mandolesi
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sanjana Narang
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Mateusz Kaduk
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Kewei Ye
- Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Christopher Sundling
- Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Anna Färnert
- Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Taras Kreslavsky
- Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Carolina Bernhardsson
- Department of Organismal Biology, Human Evolution, Norbyvägen 18C, 752 63 Uppsala, Sweden
| | - Maximilian Larena
- Department of Organismal Biology, Human Evolution, Norbyvägen 18C, 752 63 Uppsala, Sweden
| | - Mattias Jakobsson
- Department of Organismal Biology, Human Evolution, Norbyvägen 18C, 752 63 Uppsala, Sweden
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19
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Armistead B, Jiang Y, Carlson M, Ford ES, Jani S, Houck J, Wu X, Jing L, Pecor T, Kachikis A, Yeung W, Nguyen T, Coig R, Minkah N, Larsen SE, Coler RN, Koelle DM, Harrington WE. Spike-specific T cells are enriched in breastmilk following SARS-CoV-2 mRNA vaccination. Mucosal Immunol 2023; 16:39-49. [PMID: 36642379 PMCID: PMC9836998 DOI: 10.1016/j.mucimm.2023.01.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/20/2022] [Accepted: 01/07/2023] [Indexed: 01/15/2023]
Abstract
Human breastmilk is rich in T cells; however, their specificity and function are largely unknown. We compared the phenotype, diversity, and antigen specificity of T cells in breastmilk and peripheral blood of lactating individuals who received SARS-CoV-2 messenger RNA (mRNA) vaccination. Relative to blood, breastmilk contained higher frequencies of T effector and central memory populations that expressed mucosal-homing markers. T cell receptor sequence overlap was limited between blood and breastmilk. Overabundant breastmilk clones were observed in all individuals, were diverse, and contained complementarity-determining regions in three sequences with known epitope specificity, including to SARS-CoV-2 spike. SARS-CoV-2 spike-specific T cell receptors were more frequent in breastmilk compared to blood and expanded in breastmilk following a 3rd mRNA vaccine dose. Our observations indicate that the lactating breast contains a distinct T cell population that can be modulated by maternal vaccination with potential implications for passive infant protection.
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Affiliation(s)
- Blair Armistead
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Yonghou Jiang
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Marc Carlson
- Research Scientific Computing, Enterprise Analytics, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Emily S Ford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Saumya Jani
- Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA
| | - John Houck
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Xia Wu
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Lichen Jing
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Tiffany Pecor
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Alisa Kachikis
- Department of Obstetrics & Gynecology, University of Washington, Seattle, Washington, USA
| | - Winnie Yeung
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Tina Nguyen
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Rene Coig
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA
| | - Nana Minkah
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Sasha E Larsen
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Rhea N Coler
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA
| | - David M Koelle
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA; Benaroya Research Institute, Seattle, Washington, USA
| | - Whitney E Harrington
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA.
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20
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Li K, Zhuo Y, He Y, Lei F, He P, Lang Q, He D, Zuo S, Chen S, Yang X, Wen X, Zhang Z, Liu C. T cell receptor repertoire as a novel indicator for identification and immune surveillance of patients with severe obstructive sleep apnea. PeerJ 2023; 11:e15009. [PMID: 37051415 PMCID: PMC10084822 DOI: 10.7717/peerj.15009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/15/2023] [Indexed: 04/14/2023] Open
Abstract
Background Obstructive sleep apnea (OSA) is the most prevalent sleep disturbance that affects approximately 936 million people worldwide and leads to extensively increased incidence of cardiovascular disease, metabolic syndrome, neurological disorders, and traffic accidents. Severe OSA patients suffer a significantly higher risk of complications and worse comorbidity outcomes. Notwithstanding, with inadequate access to contact diagnosis based on polysomnography (PSG), numerous patients with severe sleep apnea have not been diagnosed, especially during the pandemic. Moreover, how the T cell immunity is impaired in OSA remains largely unknown. Methods We primarily investigated the T cell receptor (TCR) repertoires of 50 patients with severe OSA, 23 patients with mild-to-moderate OSA, 23 patients without OSA, and 157 healthy individuals, from their peripheral blood. Firstly, we compared the clinical characteristics, blood cell counts, the ratio of neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), and CD4+/CD8+T cell count between groups. Then, we compared the diversity, clonotypes, unique VJ alleles in patients with different disease severity. Furthermore, by identifying a series of disease-associated amino acid sequences, we employed a repeated hold-out machine learning strategy to explore the optimal algorithm for calculating the TCR repertoire characteristic Index (OSA-TCI). We further confirmed its relation with clinical features by linear regression analysis. Moreover, in followup of severe OSA patients who accepted adherent non-invasive ventilation, we assessed the changes of TCR repertoires, OSA-TCI, ESS, NLR, PLR, and CD4+/CD8+T after therapy. Results We found an unexpected increase in diversity and clonotypes in the TCR repertoire of OSA patients. Furthermore, we successfully developed a novel indicator termed OSA-TCI to summarize the unique repertoire alteration, which provided 90% of sensitivity and 87% of specificity in distinguishing severe OSA. In rationalization, OSA-TCI was found correlated to AHI, BMI, hemoglobin, N1, N2 percentage of sleep, snoring, smoking and lowest oxygen saturation, but only independently related to AHI (R = 0.603) and smoking (R = 0.22). Finally, we observed OSA-TCI in the eight severe patients decreased significantly after home noninvasive ventilation for three months during follow-up, consistently in line with the TCR repertoire improvement. In contrast, NLR, PLR, and the ratio of CD4+/CD8+T cell count were found useless to diagnose and therapeutic surveillance of severe OSA. Conclusions Our study is the first to unveil the TCR repertoire alteration in OSA, indicates possible insidious autoimmune mechanisms underlying OSA, and suggests that TCR repertoires serve as a convenient peripheral blood biomarker for OSA assessment without long-time contact and facility/instrument occupation. It may shed light on future diagnostic, immunological, pathophysiological, and prognostic research on OSA.
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Affiliation(s)
- Kai Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Respiratory and Critical Care Medicine, The Third People’s Hospital of Chengdu, Southwest Jiaotong University, Chengdu, China
- Department of Respiratory Medicine, The People’s Hospital of Pujiang County, Chengdu, China
| | - Yue Zhuo
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yue He
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Lei
- Sleep Medicine Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Pengming He
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Lang
- Department of Pulmonary Diseases and Critical Care, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Dingxiu He
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Emergency Medicine, The People’s Hospital of Deyang, Deyang, China
| | - Suni Zuo
- Department of Respiratory Medicine, The People’s Hospital of Pujiang County, Chengdu, China
| | - Shan Chen
- Department of Respiratory and Critical Care Medicine, The Third People’s Hospital of Chengdu, Southwest Jiaotong University, Chengdu, China
| | - Xin Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueping Wen
- Chengdu ExAb Biotechnology LTD, Chengdu, China
| | - Zhixin Zhang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chengdu ExAb Biotechnology LTD, Chengdu, China
| | - Chuntao Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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21
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Ostmeyer J, Cowell L, Christley S. Dynamic kernel matching for non-conforming data: A case study of T cell receptor datasets. PLoS One 2023; 18:e0265313. [PMID: 36881590 PMCID: PMC9990938 DOI: 10.1371/journal.pone.0265313] [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: 04/09/2021] [Accepted: 03/01/2022] [Indexed: 03/08/2023] Open
Abstract
Most statistical classifiers are designed to find patterns in data where numbers fit into rows and columns, like in a spreadsheet, but many kinds of data do not conform to this structure. To uncover patterns in non-conforming data, we describe an approach for modifying established statistical classifiers to handle non-conforming data, which we call dynamic kernel matching (DKM). As examples of non-conforming data, we consider (i) a dataset of T-cell receptor (TCR) sequences labelled by disease antigen and (ii) a dataset of sequenced TCR repertoires labelled by patient cytomegalovirus (CMV) serostatus, anticipating that both datasets contain signatures for diagnosing disease. We successfully fit statistical classifiers augmented with DKM to both datasets and report the performance on holdout data using standard metrics and metrics allowing for indeterminant diagnoses. Finally, we identify the patterns used by our statistical classifiers to generate predictions and show that these patterns agree with observations from experimental studies.
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Affiliation(s)
- Jared Ostmeyer
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
- * E-mail:
| | - Lindsay Cowell
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Scott Christley
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
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22
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Lu J, Chen G, Sorokina A, Nguyen T, Wallace T, Nguyen C, Dunn C, Wang S, Ellis S, Shi G, McKelvey J, Sharov A, Liu YT, Schneck J, Weng NP. Cytomegalovirus infection reduced CD70 expression, signaling and expansion of viral specific memory CD8+ T cells in healthy human adults. IMMUNITY & AGEING 2022; 19:54. [DOI: 10.1186/s12979-022-00307-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Cytomegalovirus (CMV) infection leads to effector memory CD8+ T cell expansion and is associated with immune dysfunction in older adults. However, the molecular alterations of CMV-specific CD8+ T cells in CMV infected healthy young and middle-aged adults has not been fully characterized.
Results
We compared CD8+ T cells specific for a CMV epitope (pp65495-503, NLV) and an influenza A virus (IAV) epitope (M158-66, GIL) from the same young and middle-aged healthy adults with serum positive for anti-CMV IgG. Compared to the IAV-specific CD8+ T cells, CMV-specific CD8+ T cells contained more differentiated effector memory (TEM and TEMRA) cells. Isolated CMV-specific central memory (TCM) but not naïve (TN) cells had a significant reduced activation-induced expansion in vitro compared to their IAV-specific counterparts. Furthermore, we found that CD70 expression was reduced in CMV-specific CD28+CD8+ TCM and that CD70+ TCM had better expansion in vitro than did CD70- TCM. Mechanistically, we showed that CD70 directly enhanced MAPK phosphorylation and CMV-specific CD8+ TCM cells had a reduced MAPK signaling upon activation. Lastly, we showed that age did not exacerbate reduced CD70 expression in CMV- specific CD8+ TCM cells.
Conclusion
Our findings showed that CMV infection causes mild expansion of CMV-NLV-specific CD8+ T cells, reduced CD70 expression and signaling, and proliferation of CMV-NLV-specific CD8+ TCM cells in young and middle-aged healthy adults and revealed an age-independent and CMV infection-specific impact on CD8+ memory T cells.
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23
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Armistead B, Jiang Y, Carlson M, Ford ES, Jani S, Houck J, Wu X, Jing L, Pecor T, Kachikis A, Yeung W, Nguyen T, Minkah N, Larsen SE, Coler RN, Koelle DM, Harrington WE. Spike-specific T cells are enriched in breastmilk following SARS-CoV-2 mRNA vaccination. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2021.12.03.21267036. [PMID: 36203549 PMCID: PMC9536058 DOI: 10.1101/2021.12.03.21267036] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Human breastmilk is rich in T cells; however, their specificity and function are largely unknown. We compared the phenotype, diversity, and antigen specificity of T cells in the breastmilk and peripheral blood of lactating individuals who received SARS-CoV-2 mRNA vaccination. Relative to blood, breastmilk contained higher frequencies of T effector and central memory populations that expressed mucosal-homing markers. T cell receptor (TCR) sequence overlap was limited between blood and breastmilk. Overabundan t breastmilk clones were observed in all individuals, were diverse, and contained CDR3 sequences with known epitope specificity including to SARS-CoV-2 Spike. Spike-specific TCRs were more frequent in breastmilk compared to blood and expanded in breastmilk following a third mRNA vaccine dose. Our observations indicate that the lactating breast contains a distinct T cell population that can be modulated by maternal vaccination with potential implications for infant passive protection. One-Sentence Summary The breastmilk T cell repertoire is distinct and enriched for SARS-CoV-2 Spike-specificity after maternal mRNA vaccination.
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Affiliation(s)
- Blair Armistead
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Yonghou Jiang
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Marc Carlson
- Research Scientific Computing, Enterprise Analytics, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Emily S Ford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center; Seattle, WA, USA
- Department of Medicine, University of Washington; Seattle, WA, USA
| | - Saumya Jani
- Department of Medicine, University of Washington; Seattle, WA, USA
- Department of Laboratory Medicine & Pathology, University of Washington; Seattle, WA, USA
| | - John Houck
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Xia Wu
- Department of Medicine, University of Washington; Seattle, WA, USA
| | - Lichen Jing
- Department of Medicine, University of Washington; Seattle, WA, USA
| | - Tiffany Pecor
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Alisa Kachikis
- Department of Obstetrics & Gynecology, University of Washington; Seattle, WA, USA
| | - Winnie Yeung
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Tina Nguyen
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Nana Minkah
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
- Department of Pediatrics, University of Washington; Seattle, WA, USA
| | - Sasha E Larsen
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
| | - Rhea N Coler
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
- Department of Global Health, University of Washington; Seattle, WA, USA
- Department of Pediatrics, University of Washington; Seattle, WA, USA
| | - David M Koelle
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center; Seattle, WA, USA
- Department of Medicine, University of Washington; Seattle, WA, USA
- Department of Laboratory Medicine & Pathology, University of Washington; Seattle, WA, USA
- Department of Global Health, University of Washington; Seattle, WA, USA
- Benaroya Research Institute; Seattle, WA, USA
| | - Whitney E Harrington
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute; Seattle, WA, USA
- Department of Global Health, University of Washington; Seattle, WA, USA
- Department of Pediatrics, University of Washington; Seattle, WA, USA
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24
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Zhuo Y, Yang X, Shuai P, Yang L, Wen X, Zhong X, Yang S, Xu S, Liu Y, Zhang Z. Evaluation and comparison of adaptive immunity through analyzing the diversities and clonalities of T-cell receptor repertoires in the peripheral blood. Front Immunol 2022; 13:916430. [PMID: 36159829 PMCID: PMC9493076 DOI: 10.3389/fimmu.2022.916430] [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: 04/20/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
The adaptive immune system plays an important role in defending against different kinds of diseases, including infection and cancer. There has been a longtime need for a simple method to quantitatively evaluate the potency of adaptive immunity in our bodies. The tremendously diversified T-cell receptor (TCR) repertoires are the foundation of the adaptive immune system. In this study, we analyzed the expressed TCRβ repertoires in the peripheral blood of 582 healthy donors and 60 cancer patients. The TCR repertoire in each individual is different, with different usages of TCR Vβ and Jβ genes. Importantly, the TCR diversity and clonality change along with age and disease situation. Most elder individuals and cancer patients have elevated numbers of large TCRβ clones and reduced numbers of shared common clones, and thus, they have very low TCR diversity index (D50) values. These results reveal the alteration of the expressed TCRβ repertoire with aging and oncogenesis, and thus, we hypothesize that the TCR diversity and clonality in the peripheral blood might be used to evaluate and compare the adaptive immunities among different individuals in clinical practice.
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Affiliation(s)
- Yue Zhuo
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Ping Shuai
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Liangliang Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueping Wen
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Xuemei Zhong
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shihan Yang
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shaoxian Xu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuping Liu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
| | - Zhixin Zhang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
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25
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T-Cell Receptor Repertoire Sequencing and Its Applications: Focus on Infectious Diseases and Cancer. Int J Mol Sci 2022; 23:ijms23158590. [PMID: 35955721 PMCID: PMC9369427 DOI: 10.3390/ijms23158590] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 11/17/2022] Open
Abstract
The immune system is a dynamic feature of each individual and a footprint of our unique internal and external exposures. Indeed, the type and level of exposure to physical and biological agents shape the development and behavior of this complex and diffuse system. Many pathological conditions depend on how our immune system responds or does not respond to a pathogen or a disease or on how the regulation of immunity is altered by the disease itself. T-cells are important players in adaptive immunity and, together with B-cells, define specificity and monitor the internal and external signals that our organism perceives through its specific receptors, TCRs and BCRs, respectively. Today, high-throughput sequencing (HTS) applied to the TCR repertoire has opened a window of opportunity to disclose T-cell repertoire development and behavior down to the clonal level. Although TCR repertoire sequencing is easily accessible today, it is important to deeply understand the available technologies for choosing the best fit for the specific experimental needs and questions. Here, we provide an updated overview of TCR repertoire sequencing strategies, providers and applications to infectious diseases and cancer to guide researchers’ choice through the multitude of available options. The possibility of extending the TCR repertoire to HLA characterization will be of pivotal importance in the near future to understand how specific HLA genes shape T-cell responses in different pathological contexts and will add a level of comprehension that was unthinkable just a few years ago.
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26
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Katayama Y, Kobayashi TJ. Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k -mer Feature Extraction. Front Immunol 2022; 13:797640. [PMID: 35936014 PMCID: PMC9346074 DOI: 10.3389/fimmu.2022.797640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 06/20/2022] [Indexed: 01/18/2023] Open
Abstract
The repertoire of T cell receptors encodes various types of immunological information. Machine learning is indispensable for decoding such information from repertoire datasets measured by next-generation sequencing (NGS). In particular, the classification of repertoires is the most basic task, which is relevant for a variety of scientific and clinical problems. Supported by the recent appearance of large datasets, efficient but data-expensive methods have been proposed. However, it is unclear whether they can work efficiently when the available sample size is severely restricted as in practical situations. In this study, we demonstrate that their performances can be impaired substantially below critical sample sizes. To complement this drawback, we propose MotifBoost, which exploits the information of short k-mer motifs of TCRs. MotifBoost can perform the classification as efficiently as a deep learning method on large datasets while providing more stable and reliable results on small datasets. We tested MotifBoost on the four small datasets which consist of various conditions such as Cytomegalovirus (CMV), HIV, α-chain, β-chain and it consistently preserved the stability. We also clarify that the robustness of MotifBoost can be attributed to the efficiency of k-mer motifs as representation features of repertoires. Finally, by comparing the predictions of these methods, we show that the whole sequence identity and sequence motifs encode partially different information and that a combination of such complementary information is necessary for further development of repertoire analysis.
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Affiliation(s)
- Yotaro Katayama
- Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
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27
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Katayama Y, Yokota R, Akiyama T, Kobayashi TJ. Machine Learning Approaches to TCR Repertoire Analysis. Front Immunol 2022; 13:858057. [PMID: 35911778 PMCID: PMC9334875 DOI: 10.3389/fimmu.2022.858057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
Sparked by the development of genome sequencing technology, the quantity and quality of data handled in immunological research have been changing dramatically. Various data and database platforms are now driving the rapid progress of machine learning for immunological data analysis. Of various topics in immunology, T cell receptor repertoire analysis is one of the most important targets of machine learning for assessing the state and abnormalities of immune systems. In this paper, we review recent repertoire analysis methods based on machine learning and deep learning and discuss their prospects.
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Affiliation(s)
- Yotaro Katayama
- Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Ryo Yokota
- National Research Institute of Police Science, Kashiwa, Chiba, Japan
| | - Taishin Akiyama
- Laboratory for Immune Homeostasis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan
| | - Tetsuya J. Kobayashi
- Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
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28
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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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29
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Sun X, Nguyen T, Achour A, Ko A, Cifello J, Ling C, Sharma J, Hiroi T, Zhang Y, Chia CW, Wood Iii W, Wu WW, Zukley L, Phue JN, Becker KG, Shen RF, Ferrucci L, Weng NP. Longitudinal analysis reveals age-related changes in the T cell receptor repertoire of human T cell subsets. J Clin Invest 2022; 132:158122. [PMID: 35708913 PMCID: PMC9433102 DOI: 10.1172/jci158122] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/14/2022] [Indexed: 11/17/2022] Open
Abstract
A diverse T cell receptor (TCR) repertoire is essential for protection against a variety of pathogens, and TCR repertoire size is believed to decline with age. However, the precise size of human TCR repertoires, in both total and subsets of T cells, as well as their changes with age, are not fully characterized. We conducted a longitudinal analysis of the human blood TCRα and TCRβ repertoire of CD4+ and CD8+ T cell subsets using a unique molecular identifier–based (UMI-based) RNA-seq method. Thorough analysis of 1.9 × 108 T cells yielded the lower estimate of TCR repertoire richness in an adult at 3.8 × 108. Alterations of the TCR repertoire with age were observed in all 4 subsets of T cells. The greatest reduction was observed in naive CD8+ T cells, while the greatest clonal expansion was in memory CD8+ T cells, and the highest increased retention of TCR sequences was in memory CD8+ T cells. Our results demonstrated that age-related TCR repertoire attrition is subset specific and more profound for CD8+ than CD4+ T cells, suggesting that aging has a more profound effect on cytotoxic as opposed to helper T cell functions. This may explain the increased susceptibility of older adults to novel infections.
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Affiliation(s)
- Xiaoping Sun
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Thomas Nguyen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Achouak Achour
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Annette Ko
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Jeffrey Cifello
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Chen Ling
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Jay Sharma
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Toyoko Hiroi
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Yongqing Zhang
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Chee W Chia
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, United States of America
| | - William Wood Iii
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Wells W Wu
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Linda Zukley
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, United States of America
| | - Je-Nie Phue
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Kevin G Becker
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, United States of America
| | - Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
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30
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Teng YHF, Quah HS, Suteja L, Dias JML, Mupo A, Bashford-Rogers RJM, Vassiliou GS, Chua MLK, Tan DSW, Lim DWT, Iyer NG. Analysis of T cell receptor clonotypes in tumor microenvironment identifies shared cancer-type-specific signatures. Cancer Immunol Immunother 2022; 71:989-998. [PMID: 34580764 PMCID: PMC8476067 DOI: 10.1007/s00262-021-03047-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 08/25/2021] [Indexed: 12/02/2022]
Abstract
Despite the conventional view that a truly random V(D)J recombination process should generate a highly diverse immune repertoire, emerging reports suggest that there is a certain bias toward the generation of shared/public immune receptor chains. These studies were performed in viral diseases where public T cell receptors (TCR) appear to confer better protective responses. Selective pressures generating common TCR clonotypes are currently not well understood, but it is believed that they confer a growth advantage. As very little is known about public TCR clonotypes in cancer, here we set out to determine the extent of shared TCR clonotypes in the intra-tumor microenvironments of virus- and non-virus-driven head and neck cancers using TCR sequencing. We report that tumor-infiltrating T cell clonotypes were indeed shared across individuals with the same cancer type, where the majority of shared sequences were specific to the cancer type (i.e., viral versus non-viral). These shared clonotypes were not particularly enriched in EBV-associated nasopharynx cancer but, in both cancers, exhibited distinct characteristics, namely shorter CDR3 lengths, restricted V- and J-gene usages, and also demonstrated convergent V(D)J recombination. Many of these shared TCRs were expressed in patients with a shared HLA background. Pattern recognition of CDR3 amino acid sequences revealed strong convergence to specific pattern motifs, and these motifs were uniquely found to each cancer type. This suggests that they may be enriched for specificity to common antigens found in the tumor microenvironment of different cancers. The identification of shared TCRs in infiltrating tumor T cells not only adds to our understanding of the tumor-adaptive immune recognition but could also serve as disease-specific biomarkers and guide the development of future immunotherapies.
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Affiliation(s)
- Yvonne H. F. Teng
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Hong Sheng Quah
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lisda Suteja
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - João M. L. Dias
- Hutchison/MRC Research Centre, MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ UK
| | | | | | - George S. Vassiliou
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge, CB2 0AW UK
| | - Melvin L. K. Chua
- Duke-NUS Medical School, Singapore, Singapore
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Daniel S. W. Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Darren W. T. Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Cell Biology, A-STAR, Singapore, Singapore
| | - N. Gopalakrishna Iyer
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, Singapore
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31
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De Maeyer RPH, Akbar AN. Aging and frailty immune landscape. NATURE AGING 2022; 2:280-281. [PMID: 37117749 DOI: 10.1038/s43587-022-00208-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
| | - Arne N Akbar
- Division of Medicine, University College London, London, UK.
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32
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Luo OJ, Lei W, Zhu G, Ren Z, Xu Y, Xiao C, Zhang H, Cai J, Luo Z, Gao L, Su J, Tang L, Guo W, Su H, Zhang ZJ, Fang EF, Ruan Y, Leng SX, Ju Z, Lou H, Gao J, Peng N, Chen J, Bao Z, Liu F, Chen G. Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty. NATURE AGING 2022; 2:348-364. [PMID: 37117750 DOI: 10.1038/s43587-022-00198-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 02/25/2022] [Indexed: 12/15/2022]
Abstract
Frailty is an intermediate status of the human aging process, associated with decompensated homeostasis and death. The immune phenotype of frailty and its underlying cellular and molecular processes remain poorly understood. We profiled 114,467 immune cells from cord blood, young adults and healthy and frail old adults using single-cell RNA and TCR sequencing. Here we show an age-dependent accumulation of transcriptome heterogeneity and variability in immune cells. Characteristic transcription factors were identified in given cell types of specific age groups. Trajectory analysis revealed cells from non-frail and frail old adults often fall into distinct paths. Numerous TCR clonotypes were shared among T-cell subtypes in old adults, indicating differential pluripotency and resilience capabilities of aged T cells. A frailty-specific monocyte subset was identified with exclusively high expression of long noncoding RNAs NEAT1 and MALAT1. Our study discovers human frailty-specific immune cell characteristics based on the comprehensive dimensions in the immune landscape of aging and frailty.
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Common T-Cell-Receptor Motifs and Features in Patients with Cytomegalovirus (CMV)-Seronegative End-Stage Renal Disease Receiving a Peptide Vaccination against CMV. Int J Mol Sci 2022; 23:ijms23031029. [PMID: 35162953 PMCID: PMC8835207 DOI: 10.3390/ijms23031029] [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: 12/01/2021] [Revised: 01/12/2022] [Accepted: 01/14/2022] [Indexed: 02/04/2023] Open
Abstract
After solid-organ transplantation, reactivation of the cytomegalovirus (CMV) is often observed in seronegative patients and associated with a high risk of disease and mortality. CMV-specific T cells can prevent CMV reactivation. In a phase 1 trial, CMV-seronegative patients with end-stage renal disease listed for kidney transplantation were subjected to CMV phosphoprotein 65 (CMVpp65) peptide vaccination and further investigated for T-cell responses. To this end, CMV-specific CD8+ T cells were characterized by bulk T-cell-receptor (TCR) repertoire sequencing and combined single-cell RNA and TCR sequencing. In patients mounting an immune response to the vaccine, a common SYE(N)E TCR motif known to bind CMVpp65 was detected. CMV-peptide-vaccination-responder patients had TCR features distinct from those of non-responders. In a non-responder patient, a monoclonal inflammatory T-cell response was detected upon CMV reactivation. The identification of vaccine-induced CMV-reactive TCRs motifs might facilitate the development of cellular therapies for patients wait-listed for kidney transplantation.
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34
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Clark F, Gil A, Thapa I, Aslan N, Ghersi D, Selin LK. Cross-reactivity influences changes in human influenza A virus and Epstein Barr virus specific CD8 memory T cell receptor alpha and beta repertoires between young and old. Front Immunol 2022; 13:1011935. [PMID: 36923729 PMCID: PMC10009332 DOI: 10.3389/fimmu.2022.1011935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 12/30/2022] [Indexed: 03/03/2023] Open
Abstract
Older people have difficulty controlling infection with common viruses such as influenza A virus (IAV), RNA virus which causes recurrent infections due to a high rate of genetic mutation, and Epstein Barr virus (EBV), DNA virus which persists in B cells for life in the 95% of people that become acutely infected. We questioned whether changes in epitope-specific memory CD8 T cell receptor (TCR) repertoires to these two common viruses could occur with increasing age and contribute to waning immunity. We compared CD8 memory TCR alpha and beta repertoires in two HLA-A2+ EBV- and IAV-immune donors, young (Y) and older (O) donors to three immunodominant epitopes known to be cross-reactive, IAV-M158-66 (IAV-M1), EBV-BMLF1280-288 (EBV-BM), and EBV-BRLF1109-117 (EBV-BR). We, therefore, also designed these studies to examine if TCR cross-reactivity could contribute to changes in repertoire with increasing age. TCR high throughput sequencing showed a significant difference in the pattern of TRBV usage between Y and O. However, there were many more differences in AV and AJ usage, between the age groups suggesting that changes in TCRα usage may play a greater role in evolution of the TCR repertoire emphasizing the importance of studying TRAV repertoires. With increasing age there was a preferential retention of TCR for all three epitopes with features in their complementarity-determining region (CDR3) that increased their ease of generation, and their cross-reactive potential. Young and older donors differed in the patterns of AV/AJ and BV/BJ pairings and usage of dominant CDR3 motifs specific to all three epitopes. Both young and older donors had cross-reactive responses between these 3 epitopes, which were unique and differed from the cognate responses having features that suggested they could interact with either ligand. There was an increased tendency for the classic IAV-M1 specific clone BV19-IRSS-JB2.7/AV27-CAGGGSQGNLIF-AJ42 to appear among the cross-reactive clones, suggesting that the dominance of this clone may relate to its cross-reactivity with EBV. These results suggest that although young and older donors retain classic TCR features for each epitope their repertoires are gradually changing with age, maintaining TCRs that are cross-reactive between these two common human viruses, one with recurrent infections and the other a persistent virus which frequently reactivates.
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Affiliation(s)
- Fransenio Clark
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Anna Gil
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Ishwor Thapa
- School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE, United States
| | - Nuray Aslan
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Dario Ghersi
- School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE, United States
| | - Liisa K Selin
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
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35
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Features of repertoire diversity and gene expression in human cytotoxic T cells following allogeneic hematopoietic cell transplantation. Commun Biol 2021; 4:1177. [PMID: 34635773 PMCID: PMC8505416 DOI: 10.1038/s42003-021-02709-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 09/21/2021] [Indexed: 11/09/2022] Open
Abstract
Cytomegalovirus reactivation is still a critical concern following allogeneic hematopoietic cell transplantation, and cellular immune reconstitution of cytomegalovirus-specific cytotoxic T-cells is necessary for the long-term control of cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation. Here we show the features of repertoire diversity and the gene expression profile of HLA-A24 cytomegalovirus-specific cytotoxic T-cells in actual recipients according to the cytomegalovirus reactivation pattern. A skewed preference for BV7 genes and sequential “G” amino acids motif is observed in complementarity-determining region-3 of T cell receptor-β. Increased binding scores are observed in T-cell clones with complementarity-determining region-3 of T cell receptor-β with a “(G)GG” motif. Single-cell RNA-sequence analyses demonstrate the homogenous distribution of the gene expression profile in individual cytomegalovirus-specific cytotoxic T-cells within each recipient. On the other hand, bulk RNA-sequence analyses reveal that gene expression profiles among patients are different according to the cytomegalovirus reactivation pattern, and are associated with cytokine production or cell division. These methods and results can help us to better understand immune reconstitution following hematopoietic cell transplantation, leading to future studies on the clinical application of adoptive T-cell therapies. Cytomegalovirus reactivation is an important concern after allogeneic stem cell transplantation (allo-HCT) or organ transplantation. Here, Hideki Nakasone et al. investigate changes in repertoire diversity and gene expression among clinically-transferred T cells to improve our understanding of immune reconstitution following allo-HCT.
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36
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Lu T, Zhang Z, Zhu J, Wang Y, Jiang P, Xiao X, Bernatchez C, Heymach JV, Gibbons DL, Wang J, Xu L, Reuben A, Wang T. Deep learning-based prediction of the T cell receptor-antigen binding specificity. NAT MACH INTELL 2021; 3:864-875. [PMID: 36003885 PMCID: PMC9396750 DOI: 10.1038/s42256-021-00383-2] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/01/2021] [Indexed: 02/05/2023]
Abstract
Neoantigens play a key role in the recognition of tumor cells by T cells. However, only a small proportion of neoantigens truly elicit T cell responses, and fewer clues exist as to which neoantigens are recognized by which T cell receptors (TCRs). We built a transfer learning-based model, named pMHC-TCR binding prediction network (pMTnet), to predict TCR-binding specificities of neoantigens, and T cell antigens in general, presented by class I major histocompatibility complexes (pMHCs). pMTnet was comprehensively validated by a series of analyses, and showed advance over previous work by a large margin. By applying pMTnet in human tumor genomics data, we discovered that neoantigens were generally more immunogenic than self-antigens, but HERV-E, a special type of self-antigen that is re-activated in kidney cancer, is more immunogenic than neoantigens. We further discovered that patients with more clonally expanded T cells exhibiting better affinity against truncal, rather than subclonal, neoantigens, had more favorable prognosis and treatment response to immunotherapy, in melanoma and lung cancer but not in kidney cancer. Predicting TCR-neoantigen/antigen pairs is one of the most daunting challenges in modern immunology. However, we achieved an accurate prediction of the pairing only using the TCR sequence (CDR3β), antigen sequence, and class I MHC allele, and our work revealed unique insights into the interactions of TCRs and pMHCs in human tumors using pMTnet as a discovery tool.
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Affiliation(s)
- Tianshi Lu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - Ze Zhang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - James Zhu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - Yunguan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - Peixin Jiang
- Department of Thoracic/Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX USA, 77030
| | - Xue Xiao
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - Chantale Bernatchez
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX USA, 77030
| | - John V. Heymach
- Department of Thoracic/Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX USA, 77030
| | - Don L. Gibbons
- Department of Thoracic/Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX USA, 77030
| | - Jun Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016
| | - Lin Xu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
| | - Alexandre Reuben
- Department of Thoracic/Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX USA, 77030
| | - Tao Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390
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37
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Simnica D, Schultheiß C, Mohme M, Paschold L, Willscher E, Fitzek A, Püschel K, Matschke J, Ciesek S, Sedding DG, Zhao Y, Gagliani N, Maringer Y, Walz JS, Heide J, Schulze-Zur-Wiesch J, Binder M. Landscape of T-cell repertoires with public COVID-19-associated T-cell receptors in pre-pandemic risk cohorts. Clin Transl Immunology 2021; 10:e1340. [PMID: 34484739 PMCID: PMC8401425 DOI: 10.1002/cti2.1340] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/27/2021] [Accepted: 08/15/2021] [Indexed: 01/19/2023] Open
Abstract
Objectives T cells have an essential role in the antiviral defence. Public T-cell receptor (TCR) clonotypes are expanded in a substantial proportion of COVID-19 patients. We set out to exploit their potential use as read-out for COVID-19 T-cell immune responses. Methods We searched for COVID-19-associated T-cell clones with public TCRs, as defined by identical complementarity-determining region 3 (CDR3) beta chain amino acid sequence that can be reproducibly detected in the blood of COVID-19 patients. Of the different clonotype identification algorithms used in this study, deep sequencing of brain tissue of five patients with fatal COVID-19 delivered 68 TCR clonotypes with superior representation across 140 immune repertoires of unrelated COVID-19 patients. Results Mining of immune repertoires from subjects not previously exposed to the virus showed that these clonotypes can be found in almost 20% of pre-pandemic immune repertoires of healthy subjects, with lower representation in repertoires from risk groups like individuals above the age of 60 years or patients with cancer. Conclusion Together, our data show that at least a proportion of the SARS-CoV-2 T-cell response is mediated by public TCRs that are present in repertoires of unexposed individuals. The lower representation of these clones in repertoires of risk groups or failure to expand such clones may contribute to more unfavorable clinical COVID-19 courses.
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Affiliation(s)
- Donjete Simnica
- Department of Internal Medicine IV Oncology/Hematology Martin-Luther-University Halle-Wittenberg Halle (Saale) Germany
| | - Christoph Schultheiß
- Department of Internal Medicine IV Oncology/Hematology Martin-Luther-University Halle-Wittenberg Halle (Saale) Germany
| | - Malte Mohme
- Department of Neurosurgery University Medical Center Hamburg-Eppendorf (UKE) Hamburg Germany
| | - Lisa Paschold
- Department of Internal Medicine IV Oncology/Hematology Martin-Luther-University Halle-Wittenberg Halle (Saale) Germany
| | - Edith Willscher
- Department of Internal Medicine IV Oncology/Hematology Martin-Luther-University Halle-Wittenberg Halle (Saale) Germany
| | - Antonia Fitzek
- Institute of Legal Medicine University Medical Center Hamburg-Eppendorf (UKE) Hamburg Germany
| | - Klaus Püschel
- Institute of Legal Medicine University Medical Center Hamburg-Eppendorf (UKE) Hamburg Germany
| | - Jakob Matschke
- Department of Neuropathology University Medical Center Hamburg-Eppendorf (UKE) Hamburg Germany
| | - Sandra Ciesek
- Institute of Medical Virology University Hospital Frankfurt Frankfurt am Main Germany
| | - Daniel G Sedding
- Mid-German Heart Center Department of Cardiology and Intensive Care Medicine University Hospital Martin Luther University Halle-Wittenberg Halle (Saale) Germany
| | - Yu Zhao
- III. Department of Medicine Division of Translational Immunology University Medical Center Hamburg-Eppendorf Hamburg Germany.,Institute of Medical Systems Biology University Medical Center Hamburg-Eppendorf Hamburg Germany.,Hamburg Center for Translational Immunology (HCTI) University Medical Center Hamburg-Eppendorf Hamburg Germany.,Center for Biomedical AI University Medical Center Hamburg-Eppendorf Hamburg Germany
| | - Nicola Gagliani
- Hamburg Center for Translational Immunology (HCTI) University Medical Center Hamburg-Eppendorf Hamburg Germany.,I. Department of Medicine and Department for General Visceral and Thoracic Surgery Hamburg Germany.,Immunology and Allergy Unit Department of Medicine Solna Karolinska Institute and University Hospital Stockholm Sweden
| | - Yacine Maringer
- Clinical Collaboration Unit Translational Immunology German Cancer Consortium (DKTK) Department of Internal Medicine University Hospital Tübingen Tübingen Germany.,Institute for Cell Biology Department of Immunology University of Tübingen Tübingen Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies" University of Tübingen Tübingen Germany
| | - Juliane S Walz
- Clinical Collaboration Unit Translational Immunology German Cancer Consortium (DKTK) Department of Internal Medicine University Hospital Tübingen Tübingen Germany.,Institute for Cell Biology Department of Immunology University of Tübingen Tübingen Germany.,Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies" University of Tübingen Tübingen Germany.,Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology and Robert Bosch Center for Tumor Diseases (RBCT) Stuttgart Germany
| | - Janna Heide
- I. Department of Medicine (with section Gastroenterology and Infectious Diseases) University Medical Center Hamburg-Eppendorf Hamburg Germany
| | - Julian Schulze-Zur-Wiesch
- I. Department of Medicine (with section Gastroenterology and Infectious Diseases) University Medical Center Hamburg-Eppendorf Hamburg Germany
| | - Mascha Binder
- Department of Internal Medicine IV Oncology/Hematology Martin-Luther-University Halle-Wittenberg Halle (Saale) Germany
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38
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Bravi B, Balachandran VP, Greenbaum BD, Walczak AM, Mora T, Monasson R, Cocco S. Probing T-cell response by sequence-based probabilistic modeling. PLoS Comput Biol 2021; 17:e1009297. [PMID: 34473697 PMCID: PMC8476001 DOI: 10.1371/journal.pcbi.1009297] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 09/27/2021] [Accepted: 07/22/2021] [Indexed: 11/26/2022] Open
Abstract
With the increasing ability to use high-throughput next-generation sequencing to quantify the diversity of the human T cell receptor (TCR) repertoire, the ability to use TCR sequences to infer antigen-specificity could greatly aid potential diagnostics and therapeutics. Here, we use a machine-learning approach known as Restricted Boltzmann Machine to develop a sequence-based inference approach to identify antigen-specific TCRs. Our approach combines probabilistic models of TCR sequences with clone abundance information to extract TCR sequence motifs central to an antigen-specific response. We use this model to identify patient personalized TCR motifs that respond to individual tumor and infectious disease antigens, and to accurately discriminate specific from non-specific responses. Furthermore, the hidden structure of the model results in an interpretable representation space where TCRs responding to the same antigen cluster, correctly discriminating the response of TCR to different viral epitopes. The model can be used to identify condition specific responding TCRs. We focus on the examples of TCRs reactive to candidate neoantigens and selected epitopes in experiments of stimulated TCR clone expansion.
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Affiliation(s)
- Barbara Bravi
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
| | - Vinod P. Balachandran
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York State, United States of America
| | - Benjamin D. Greenbaum
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York State, United States of America
| | - Aleksandra M. Walczak
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
| | - Thierry Mora
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
| | - Rémi Monasson
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
| | - Simona Cocco
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
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39
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Zhang J, Wang Y, Yu H, Chen G, Wang L, Liu F, Yuan J, Ni Q, Xia X, Wan Y. Mapping the spatial distribution of T cells in repertoire dimension. Mol Immunol 2021; 138:161-171. [PMID: 34428621 DOI: 10.1016/j.molimm.2021.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/01/2021] [Accepted: 08/15/2021] [Indexed: 01/13/2023]
Abstract
T cells mediate adaptive immunity in diverse anatomic compartments through recognition of specific antigens via unique T cell receptor (TCR) structures. However, little is known about the spatial distribution of an organism's TCR repertoire. Here, using high-throughput TCR sequencing (TCRseq), we investigated the TCR repertoires of sixteen tissues in healthy C57B/L6 mice. We found that TCR repertoires generally classified into three categories (lymph nodes, non-lymph node tissues and small intestine) based on sequence similarity. Clonal distribution and diversity analyses showed that small intestine compartment had a more skewed repertoire as compared to lymph nodes and non-lymph node tissues. However, analysis of TRBV and TRBJ gene usage across tissue compartments, as well as comparison of CDR3 length distributions, showed no significant tissue-dependent differences. Interestingly, analysis of clonotype sharing between mice showed that although non-redundant public clonotypes were found more easily in lymph nodes, small intestinal CD4 + T cells harbored more abundant public clonotypes. These findings under healthy physiological conditions offer an important reference dataset, which may contribute to our ability to better manipulate T cell responses against infection and vaccination.
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Affiliation(s)
- Junying Zhang
- School of Pharmaceutical Sciences and Innovative Drug Research Center, Chongqing University, Chongqing, 401331, China
| | - Yu Wang
- Zunyi Medical University, Zunyi, 563003, China
| | - Haili Yu
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Gang Chen
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Liting Wang
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Fang Liu
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Jiangbei Yuan
- Hepato-Pancreato-Biliary Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Guangdong Province, 518036, China
| | - Qingshan Ni
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China.
| | - Xuefeng Xia
- School of Pharmaceutical Sciences and Innovative Drug Research Center, Chongqing University, Chongqing, 401331, China.
| | - Ying Wan
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China; School of Big Data & Software Engineering, Chongqing University, Chongqing, 401331, China.
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40
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Mazouz S, Boisvert M, Abdel-Hakeem MS, Khedr O, Bruneau J, Shoukry NH. Expansion of Unique Hepatitis C Virus-Specific Public CD8 + T Cell Clonotypes during Acute Infection and Reinfection. THE JOURNAL OF IMMUNOLOGY 2021; 207:1180-1193. [PMID: 34341170 DOI: 10.4049/jimmunol.2001386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 06/09/2021] [Indexed: 11/19/2022]
Abstract
Hepatitis C virus (HCV) infection resolves spontaneously in ∼25% of acutely infected humans where viral clearance is mediated primarily by virus-specific CD8+ T cells. Previous cross-sectional analysis of the CD8+ TCR repertoire targeting two immunodominant HCV epitopes reported widespread use of public TCRs shared by different subjects, irrespective of infection outcome. However, little is known about the evolution of the public TCR repertoire during acute HCV and whether cross-reactivity to other Ags can influence infectious outcome. In this article, we analyzed the CD8+ TCR repertoire specific to the immunodominant and cross-reactive HLA-A2-restricted nonstructural 3-1073 epitope during acute HCV in humans progressing to either spontaneous resolution or chronic infection and at ∼1 y after viral clearance. TCR repertoire diversity was comparable among all groups with preferential usage of the TCR-β V04 and V06 gene families. We identified a set of 13 public clonotypes in HCV-infected humans independent of infection outcome. Six public clonotypes used the V04 gene family. Several public clonotypes were long-lived in resolvers and expanded on reinfection. By mining publicly available data, we identified several low-frequency CDR3 sequences in the HCV-specific repertoire matching human TCRs specific for other HLA-A2-restricted epitopes from melanoma, CMV, influenza A, EBV, and yellow fever viruses, but they were of low frequency and limited cross-reactivity. In conclusion, we identified 13 new public human CD8+ TCR clonotypes unique to HCV that expanded during acute infection and reinfection. The low frequency of cross-reactive TCRs suggests that they are not major determinants of infectious outcome.
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Affiliation(s)
- Sabrina Mazouz
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.,Département de Microbiologie, Infectiologie et Immunologie, Université de Montreal, Montreal, Quebec, Canada
| | - Maude Boisvert
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Mohamed S Abdel-Hakeem
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.,Département de Microbiologie, Infectiologie et Immunologie, Université de Montreal, Montreal, Quebec, Canada
| | - Omar Khedr
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Julie Bruneau
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.,Département de Médecine Familiale et de Médecine d'Urgence, Université de Montréal, Montreal, Quebec, Canada; and
| | - Naglaa H Shoukry
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada; .,Département de Médecine, Université de Montréal, Montreal, Quebec, Canada
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41
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Public and private human T-cell clones respond differentially to HCMV antigen when boosted by CD3 copotentiation. Blood Adv 2021; 4:5343-5356. [PMID: 33125463 DOI: 10.1182/bloodadvances.2020002255] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 09/17/2020] [Indexed: 12/16/2022] Open
Abstract
Human cytomegalovirus (HCMV) induces long-lasting T-cell immune responses that control but do not clear infection. Typical responses involve private T-cell clones, expressing T-cell antigen receptors (TCRs) unique to a person, and public T-cell clones with identical TCRs active in different people. Here, we report the development of a pretherapeutic immunostimulation modality against HCMV for human T cells, CD3 copotentiation, and the clonal analysis of its effects in recall assays at single-cell resolution. CD3 copotentiation of human T cells required identification of an intrinsically inert anti-CD3 Fab fragment that conditionally augmented signaling only when TCR was coengaged with antigen. When applied in recall assays, CD3 copotentiation enhanced the expansion of both public and private T-cell clones responding to autologous HLA-A2(+) antigen-presenting cells and immunodominant NLVPMVATV (NLV) peptide from HCMV pp65 protein. Interestingly, public vs private TCR expression was associated with distinct clonal expansion signatures in response to recall stimulus. This implied that besides possible differences in their generation and selection in an immune response, public and private T cells may respond differently to pharmacoimmunomodulation. Furthermore, a third clonal expansion profile was observed upon CD3 copotentiation of T-cell clones from HLA-A2(-) donors and 1 HLA-A2(+) presumed-uninfected donor, where NLV was of low intrinsic potency. We conclude that human T-cell copotentiation can increase the expansion of different classes of T-cell clones responding to recall antigens of different strengths, and this may be exploitable for therapeutic development against chronic, persistent infections such as HCMV.
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42
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van den Berg SPH, Lanfermeijer J, Jacobi RHJ, Hendriks M, Vos M, van Schuijlenburg R, Nanlohy NM, Borghans JAM, van Beek J, van Baarle D, de Wit J. Latent CMV Infection Is Associated With Lower Influenza Virus-Specific Memory T-Cell Frequencies, but Not With an Impaired T-Cell Response to Acute Influenza Virus Infection. Front Immunol 2021; 12:663664. [PMID: 34025665 PMCID: PMC8131658 DOI: 10.3389/fimmu.2021.663664] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/12/2021] [Indexed: 12/13/2022] Open
Abstract
Latent infection with cytomegalovirus (CMV) is assumed to contribute to the age-associated decline of the immune system. CMV induces large changes in the T-cell pool and may thereby affect other immune responses. CMV is expected to impact especially older adults, who are already at higher risk of severe disease and hospitalization upon infections such as influenza virus (IAV) infection. Here, we investigated the impact of CMV infection on IAV-specific CD8+ T-cell frequencies in healthy individuals (n=96) and the response to IAV infection in older adults (n=72). IAV-specific memory T-cell frequencies were lower in healthy CMV+ older individuals compared to healthy CMV- older individuals. Upon acute IAV infection, CMV serostatus or CMV-specific antibody levels were not negatively associated with IAV-specific T-cell frequencies, function, phenotype or T-cell receptor repertoire diversity. This suggests that specific T-cell responses upon acute IAV infection are not negatively affected by CMV. In addition, we found neither an association between CMV infection and inflammatory cytokine levels in serum during acute IAV infection nor between cytokine levels and the height of the IAV-specific T-cell response upon infection. Finally, CMV infection was not associated with increased severity of influenza-related symptoms. In fact, CMV infection was even associated with increased IAV-specific T-cell responses early upon acute IAV infection. In conclusion, although associated with lower frequencies of memory IAV-specific T cells in healthy individuals, CMV infection does not seem to hamper the induction of a proper T-cell response during acute IAV infection in older adults.
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Affiliation(s)
- Sara P H van den Berg
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Josien Lanfermeijer
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ronald H J Jacobi
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Marion Hendriks
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Martijn Vos
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Roos van Schuijlenburg
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Nening M Nanlohy
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - José A M Borghans
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Josine van Beek
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Debbie van Baarle
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jelle de Wit
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
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43
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Zhang W, Hawkins PG, He J, Gupta NT, Liu J, Choonoo G, Jeong SW, Chen CR, Dhanik A, Dillon M, Deering R, Macdonald LE, Thurston G, Atwal GS. A framework for highly multiplexed dextramer mapping and prediction of T cell receptor sequences to antigen specificity. SCIENCE ADVANCES 2021; 7:7/20/eabf5835. [PMID: 33990328 PMCID: PMC8121425 DOI: 10.1126/sciadv.abf5835] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/25/2021] [Indexed: 05/04/2023]
Abstract
T cell receptor (TCR) antigen-specific recognition is essential for the adaptive immune system. However, building a TCR-antigen interaction map has been challenging due to the staggering diversity of TCRs and antigens. Accordingly, highly multiplexed dextramer-TCR binding assays have been recently developed, but the utility of the ensuing large datasets is limited by the lack of robust computational methods for normalization and interpretation. Here, we present a computational framework comprising a novel method, ICON (Integrative COntext-specific Normalization), for identifying reliable TCR-pMHC (peptide-major histocompatibility complex) interactions and a neural network-based classifier TCRAI that outperforms other state-of-the-art methods for TCR-antigen specificity prediction. We further demonstrated that by combining ICON and TCRAI, we are able to discover novel subgroups of TCRs that bind to a given pMHC via different mechanisms. Our framework facilitates the identification and understanding of TCR-antigen-specific interactions for basic immunological research and clinical immune monitoring.
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Affiliation(s)
- Wen Zhang
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA.
| | - Peter G Hawkins
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Jing He
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Namita T Gupta
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Jinrui Liu
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Gabrielle Choonoo
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Se W Jeong
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Calvin R Chen
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Ankur Dhanik
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Myles Dillon
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Raquel Deering
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Lynn E Macdonald
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Gavin Thurston
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Gurinder S Atwal
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA.
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44
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CD4 + T Cells Recognize Conserved Influenza A Epitopes through Shared Patterns of V-Gene Usage and Complementary Biochemical Features. Cell Rep 2021; 32:107885. [PMID: 32668259 PMCID: PMC7370177 DOI: 10.1016/j.celrep.2020.107885] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 01/20/2020] [Accepted: 06/17/2020] [Indexed: 12/15/2022] Open
Abstract
T cell recognition of peptides presented by human leukocyte antigens (HLAs) is mediated by the highly variable T cell receptor (TCR). Despite this built-in TCR variability, individuals can mount immune responses against viral epitopes by using identical or highly related TCRs expressed on CD8+ T cells. Characterization of these TCRs has extended our understanding of the molecular mechanisms that govern the recognition of peptide-HLA. However, few examples exist for CD4+ T cells. Here, we investigate CD4+ T cell responses to the internal proteins of the influenza A virus that correlate with protective immunity. We identify five internal epitopes that are commonly recognized by CD4+ T cells in five HLA-DR1+ subjects and show conservation across viral strains and zoonotic reservoirs. TCR repertoire analysis demonstrates several shared gene usage biases underpinned by complementary biochemical features evident in a structural comparison. These epitopes are attractive targets for vaccination and other T cell therapies.
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45
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Gibadullin R, Randall CJ, Sidney J, Sette A, Gellman SH. Backbone Modifications of HLA-A2-Restricted Antigens Induce Diverse Binding and T Cell Activation Outcomes. J Am Chem Soc 2021; 143:6470-6481. [PMID: 33881854 DOI: 10.1021/jacs.1c00016] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
CD8+ T cells express T cell receptors (TCRs) that recognize short peptide antigens in the context of major histocompatibility class I (MHC I) molecules. This recognition process produces an array of cytokine-mediated signals that help to govern immunological responses. Design of biostable MHC I peptide vaccines containing unnatural subunits is desirable, and synthetic antigens in which a native α-amino acid residue is replaced by a homologous β-amino acid residue (native side chain but extended backbone) might be useful in this regard. We have evaluated the impact of α-to-β backbone modification at a single site on T cell-mediated recognition of six clinically important viral and tumor-associated antigens bound to an MHC I. Effects of this modification on MHC I affinity and T cell activation were measured. Many of these modifications diminish or prevent T cell response. However, a number of α/β-peptide antigens were found to mimic the activity of natural antigens or to enhance maximal T cell response, as measured by interferon-γ release. Results from this broad exploratory study advance our understanding of immunological responses to antigens bearing unnatural modifications and suggest that α/β-peptides could be a source of potent and proteolytically stable variants of native antigens.
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Affiliation(s)
- Ruslan Gibadullin
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Caleb J Randall
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - John Sidney
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, United States
| | - Alessandro Sette
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, United States.,Department of Medicine, University of California, San Diego, California 92093, United States
| | - Samuel H Gellman
- Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States
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46
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Arnaout RA, Prak ETL, Schwab N, Rubelt F. The Future of Blood Testing Is the Immunome. Front Immunol 2021; 12:626793. [PMID: 33790897 PMCID: PMC8005722 DOI: 10.3389/fimmu.2021.626793] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
It is increasingly clear that an extraordinarily diverse range of clinically important conditions—including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers—leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nomenclature but more commonly known as TCR] genes collectively expressed by a person’s B cells (antibodies) and T cells. We refer to these as the immunome. Because of its diversity and complexity, the immunome provides singular opportunities for advancing personalized medicine by serving as the substrate for a highly multiplexed, near-universal blood test. Here we discuss some of these opportunities, the current state of immunome-based diagnostics, and highlight some of the challenges involved. We conclude with a call to clinicians, researchers, and others to join efforts with the Adaptive Immune Receptor Repertoire Community (AIRR-C) to realize the diagnostic potential of the immunome.
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Affiliation(s)
- Ramy A Arnaout
- Department of Pathology and Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.,Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nicholas Schwab
- Department of Neurology and Institute of Translational Neurology, University of Muenster, Muenster, Germany
| | - Florian Rubelt
- Roche Sequencing Solutions, Pleasanton, CA, United States
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47
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Giorgetti OB, Shingate P, O'Meara CP, Ravi V, Pillai NE, Tay BH, Prasad A, Iwanami N, Tan HH, Schorpp M, Venkatesh B, Boehm T. Antigen receptor repertoires of one of the smallest known vertebrates. SCIENCE ADVANCES 2021; 7:7/1/eabd8180. [PMID: 33523858 PMCID: PMC7775753 DOI: 10.1126/sciadv.abd8180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 11/04/2020] [Indexed: 05/06/2023]
Abstract
The rules underlying the structure of antigen receptor repertoires are not yet fully defined, despite their enormous importance for the understanding of adaptive immunity. With current technology, the large antigen receptor repertoires of mice and humans cannot be comprehensively studied. To circumvent the problems associated with incomplete sampling, we have studied the immunogenetic features of one of the smallest known vertebrates, the cyprinid fish Paedocypris sp. "Singkep" ("minifish"). Despite its small size, minifish has the key genetic facilities characterizing the principal vertebrate lymphocyte lineages. As described for mammals, the frequency distributions of immunoglobulin and T cell receptor clonotypes exhibit the features of fractal systems, demonstrating that self-similarity is a fundamental property of antigen receptor repertoires of vertebrates, irrespective of body size. Hence, minifish achieve immunocompetence via a few thousand lymphocytes organized in robust scale-free networks, thereby ensuring immune reactivity even when cells are lost or clone sizes fluctuate during immune responses.
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Affiliation(s)
- Orlando B Giorgetti
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany
| | - Prashant Shingate
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Connor P O'Meara
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany
| | - Vydianathan Ravi
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Nisha E Pillai
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Boon-Hui Tay
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Aravind Prasad
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Norimasa Iwanami
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany
| | - Heok Hui Tan
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore 117377, Singapore
| | - Michael Schorpp
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany
| | - Byrappa Venkatesh
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore.
| | - Thomas Boehm
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Stuebeweg 51, 79108 Freiburg, Germany.
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48
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T-cell receptor repertoire of cytomegalovirus-specific cytotoxic T-cells after allogeneic stem cell transplantation. Sci Rep 2020; 10:22218. [PMID: 33335252 PMCID: PMC7747720 DOI: 10.1038/s41598-020-79363-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 12/08/2020] [Indexed: 02/07/2023] Open
Abstract
Cytomegalovirus (CMV) infection is a major complication during allogeneic stem cell transplantation (allo-SCT). However, mechanisms of adaptive immunity that drive this remain unclear. To define early immunological responses to CMV after transplantation, we using next-generation sequencing to examine the repertoire of T-cell receptors in CD8+/CMV pp65 tetramer+ cells (CMV-CTLs) in peripheral blood samples obtained from 16 allo-SCT recipients with HLA-A*24:02 at the time of CMV reactivation. In most patients, TCR beta repertoire of CMV-CTLs was highly skewed (median Inverse Simpson's index: 1.595) and, 15 of 16 patients shared at least one TCR-beta clonotype with ≥ 2 patients. The shared TCRs were dominant in 12 patients and, two clonotypes were shared by about half of the patients. Similarity analysis showed that CDR3 sequences of shared TCRs were more similar than unshared TCRs. TCR beta repertoires of CMV-CTLs in 12 patients were also analyzed after 2-4 weeks to characterize the short-term dynamics of TCR repertoires. In ten patients, we observed persistence of prevailing clones. In the other two patients, TCR repertoires became more diverse, major clones declined, and new private clones subsequently emerged. These results provided the substantive clue to understand the immunological behavior against CMV reactivation after allo-SCT.
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49
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Shomuradova AS, Vagida MS, Sheetikov SA, Zornikova KV, Kiryukhin D, Titov A, Peshkova IO, Khmelevskaya A, Dianov DV, Malasheva M, Shmelev A, Serdyuk Y, Bagaev DV, Pivnyuk A, Shcherbinin DS, Maleeva AV, Shakirova NT, Pilunov A, Malko DB, Khamaganova EG, Biderman B, Ivanov A, Shugay M, Efimov GA. SARS-CoV-2 Epitopes Are Recognized by a Public and Diverse Repertoire of Human T Cell Receptors. Immunity 2020; 53:1245-1257.e5. [PMID: 33326767 PMCID: PMC7664363 DOI: 10.1016/j.immuni.2020.11.004] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/02/2020] [Accepted: 11/09/2020] [Indexed: 12/28/2022]
Abstract
Understanding the hallmarks of the immune response to SARS-CoV-2 is critical for fighting the COVID-19 pandemic. We assessed antibody and T cell reactivity in convalescent COVID-19 patients and healthy donors sampled both prior to and during the pandemic. Healthy donors examined during the pandemic exhibited increased numbers of SARS-CoV-2-specific T cells, but no humoral response. Their probable exposure to the virus resulted in either asymptomatic infection without antibody secretion or activation of preexisting immunity. In convalescent patients, we observed a public and diverse T cell response to SARS-CoV-2 epitopes, revealing T cell receptor (TCR) motifs with germline-encoded features. Bulk CD4+ and CD8+ T cell responses to the spike protein were mediated by groups of homologous TCRs, some of them shared across multiple donors. Overall, our results demonstrate that the T cell response to SARS-CoV-2, including the identified set of TCRs, can serve as a useful biomarker for surveying antiviral immunity.
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Affiliation(s)
- Alina S Shomuradova
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | | | - Savely A Sheetikov
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Ksenia V Zornikova
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | | | - Aleksei Titov
- National Research Center for Hematology, Moscow, Russia
| | | | - Alexandra Khmelevskaya
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Dmitry V Dianov
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Maria Malasheva
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Anton Shmelev
- National Research Center for Hematology, Moscow, Russia
| | - Yana Serdyuk
- National Research Center for Hematology, Moscow, Russia
| | - Dmitry V Bagaev
- Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Anastasia Pivnyuk
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Dmitrii S Shcherbinin
- Pirogov Russian Medical State University, Moscow, Russia; Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | | | | | - Artem Pilunov
- National Research Center for Hematology, Moscow, Russia; Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | | | | | | | - Alexander Ivanov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Mikhail Shugay
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia; Pirogov Russian Medical State University, Moscow, Russia; Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
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50
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Lanfermeijer J, Borghans JAM, Baarle D. How age and infection history shape the antigen-specific CD8 + T-cell repertoire: Implications for vaccination strategies in older adults. Aging Cell 2020; 19:e13262. [PMID: 33078890 PMCID: PMC7681067 DOI: 10.1111/acel.13262] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/21/2020] [Accepted: 09/25/2020] [Indexed: 12/21/2022] Open
Abstract
Older adults often show signs of impaired CD8+ T‐cell immunity, reflected by weaker responses against new infections and vaccinations, and decreased protection against reinfection. This immune impairment is in part thought to be the consequence of a decrease in both T‐cell numbers and repertoire diversity. If this is indeed the case, a strategy to prevent infectious diseases in older adults could be the induction of protective memory responses through vaccination at a younger age. However, this requires that the induced immune responses are maintained until old age. It is therefore important to obtain insights into the long‐term maintenance of the antigen‐specific T‐cell repertoire. Here, we review the literature on the maintenance of antigen‐experienced CD8+ T‐cell repertoires against acute and chronic infections. We describe the complex interactions that play a role in shaping the memory T‐cell repertoire, and the effects of age, infection history, and T‐cell avidity. We discuss the implications of these findings for the development of new vaccination strategies to protect older adults.
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Affiliation(s)
- Josien Lanfermeijer
- Center for Infectious Disease Control National Institute for Public Health and the Environment Bilthoven the Netherlands
- Center for Translational Immunology University Medical Center Utrecht the Netherlands
| | - José A. M. Borghans
- Center for Translational Immunology University Medical Center Utrecht the Netherlands
| | - Debbie Baarle
- Center for Infectious Disease Control National Institute for Public Health and the Environment Bilthoven the Netherlands
- Center for Translational Immunology University Medical Center Utrecht the Netherlands
- Virology & Immunology Research Department of Medical Microbiology and Infection prevention University Medical Center Groningen the Netherlands
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