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Sethna Z, Elhanati Y, Callan CG, Walczak AM, Mora T. OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifs. Bioinformatics 2020; 35:2974-2981. [PMID: 30657870 PMCID: PMC6735909 DOI: 10.1093/bioinformatics/btz035] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 11/10/2018] [Accepted: 01/13/2019] [Indexed: 01/08/2023] Open
Abstract
MOTIVATION High-throughput sequencing of large immune repertoires has enabled the development of methods to predict the probability of generation by V(D)J recombination of T- and B-cell receptors of any specific nucleotide sequence. These generation probabilities are very non-homogeneous, ranging over 20 orders of magnitude in real repertoires. Since the function of a receptor really depends on its protein sequence, it is important to be able to predict this probability of generation at the amino acid level. However, brute-force summation over all the nucleotide sequences with the correct amino acid translation is computationally intractable. The purpose of this paper is to present a solution to this problem. RESULTS We use dynamic programming to construct an efficient and flexible algorithm, called OLGA (Optimized Likelihood estimate of immunoGlobulin Amino-acid sequences), for calculating the probability of generating a given CDR3 amino acid sequence or motif, with or without V/J restriction, as a result of V(D)J recombination in B or T cells. We apply it to databases of epitope-specific T-cell receptors to evaluate the probability that a typical human subject will possess T cells responsive to specific disease-associated epitopes. The model prediction shows an excellent agreement with published data. We suggest that OLGA may be a useful tool to guide vaccine design. AVAILABILITY AND IMPLEMENTATION Source code is available at https://github.com/zsethna/OLGA. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zachary Sethna
- Joseph Henry Laboratories, Princeton University, Princeton, NJ, USA
| | - Yuval Elhanati
- Joseph Henry Laboratories, Princeton University, Princeton, NJ, USA
| | - Curtis G Callan
- Joseph Henry Laboratories, Princeton University, Princeton, NJ, USA.,Laboratoire de physique de l'Ecole normale supérieure (PSL University), Centre national de la recherche scientifique, Sorbonne University, University Paris-Diderot, Paris, France
| | - Aleksandra M Walczak
- Laboratoire de physique de l'Ecole normale supérieure (PSL University), Centre national de la recherche scientifique, Sorbonne University, University Paris-Diderot, Paris, France
| | - Thierry Mora
- Laboratoire de physique de l'Ecole normale supérieure (PSL University), Centre national de la recherche scientifique, Sorbonne University, University Paris-Diderot, Paris, France
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2
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Tanno H, Gould TM, McDaniel JR, Cao W, Tanno Y, Durrett RE, Park D, Cate SJ, Hildebrand WH, Dekker CL, Tian L, Weyand CM, Georgiou G, Goronzy JJ. Determinants governing T cell receptor α/β-chain pairing in repertoire formation of identical twins. Proc Natl Acad Sci U S A 2020; 117:532-540. [PMID: 31879353 PMCID: PMC6955297 DOI: 10.1073/pnas.1915008117] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The T cell repertoire in each individual includes T cell receptors (TCRs) of enormous sequence diversity through the pairing of diverse TCR α- and β-chains, each generated by somatic recombination of paralogous gene segments. Whether the TCR repertoire contributes to susceptibility to infectious or autoimmune diseases in concert with disease-associated major histocompatibility complex (MHC) polymorphisms is unknown. Due to a lack in high-throughput technologies to sequence TCR α-β pairs, current studies on whether the TCR repertoire is shaped by host genetics have so far relied only on single-chain analysis. Using a high-throughput single T cell sequencing technology, we obtained the largest paired TCRαβ dataset so far, comprising 965,523 clonotypes from 15 healthy individuals including 6 monozygotic twin pairs. Public TCR α- and, to a lesser extent, TCR β-chain sequences were common in all individuals. In contrast, sharing of entirely identical TCRαβ amino acid sequences was very infrequent in unrelated individuals, but highly increased in twins, in particular in CD4 memory T cells. Based on nucleotide sequence identity, a subset of these shared clonotypes appeared to be the progeny of T cells that had been generated during fetal development and had persisted for more than 50 y. Additional shared TCRαβ in twins were encoded by different nucleotide sequences, implying that genetic determinants impose structural constraints on thymic selection that favor the selection of TCR α-β pairs with entire sequence identities.
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Affiliation(s)
- Hidetaka Tanno
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712
| | - Timothy M Gould
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - Jonathan R McDaniel
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Wenqiang Cao
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - Yuri Tanno
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Russell E Durrett
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Daechan Park
- Department of Life Sciences, Ajou University, Suwon 16499, South Korea
| | - Steven J Cate
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - William H Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - Cornelia L Dekker
- Department of Pediatrics (Infectious Diseases), Stanford University School of Medicine, Stanford, CA 94305
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305
| | - Cornelia M Weyand
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
| | - George Georgiou
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712;
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712
| | - Jörg J Goronzy
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305;
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA 94304
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3
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Fike AJ, Kumova OK, Carey AJ. Dissecting the defects in the neonatal CD8 + T-cell response. J Leukoc Biol 2019; 106:1051-1061. [PMID: 31260598 DOI: 10.1002/jlb.5ru0319-105r] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 12/26/2022] Open
Abstract
The neonatal period presents a complex scenario where the threshold of reactivity toward colonizing microbiota, maternal antigens, autoantigens, and pathogens must be carefully moderated and balanced. CD8+ T cells are critical for the response against intracellular bacteria and viruses, but this immune compartment maintains altered function relative to adult counterparts because of the unique challenges which infants face. Here, we review our current understanding of the factors which may promote the attenuation and altered function of the neonatal CD8+ T-cell response and potential avenues for future study. Specifically, we have focused on the neonatal CD8+ T-cell ontogeny, memory formation, TCR structure and repertoire, TCR inhibitory receptors, and the clinical implications of altered neonatal CD8+ T-cell function. Special emphasis has been placed on examining the response of preterm neonates relative to term neonates and adults.
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Affiliation(s)
- Adam J Fike
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Ogan K Kumova
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Alison J Carey
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.,Department of Pediatrics, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
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4
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Venturi V, Thomas PG. The expanding role of systems immunology in decoding the T cell receptor repertoire. ACTA ACUST UNITED AC 2018; 12:37-45. [PMID: 31106281 DOI: 10.1016/j.coisb.2018.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
T cells play a crucial role in the immune system's defense against many infectious diseases, including persistent infections for which no effective vaccines currently exist. The T cell component of the adaptive immune system is highly complex involving a constantly evolving landscape of various inter-related T cell populations. These T cell populations are characterized by their phenotypic and functional properties as well as the collection, or repertoire, of T cell receptors (TCR) that mediate T cell recognition of antigenic peptides derived from pathogens. Understanding the various processes and factors that impact the development and evolution of the broader T cell repertoire available to recognize and respond to pathogens and the characteristics of antigen-experienced T cell repertoires associated with effective immune control of pathogens is critical to the rational design of T cell-based vaccines and therapies. In this article we discuss, using examples of recent research, the promise that systems immunology approaches, involving quantitative analysis and mathematical and computational modeling of immunological data, hold for decoding the complex TCR repertoire system in the current era of advancing technologies.
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Affiliation(s)
- Vanessa Venturi
- Infection Analytics Program, Kirby Institute for Infection and Immunity, UNSW Australia, Sydney, NSW, Australia
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
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5
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DeWitt WS, Smith A, Schoch G, Hansen JA, Matsen FA, Bradley P. Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity. eLife 2018; 7:e38358. [PMID: 30152754 PMCID: PMC6162092 DOI: 10.7554/elife.38358] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 08/21/2018] [Indexed: 12/24/2022] Open
Abstract
The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic formation of immunological memory. Statistical analysis of repertoire sequencing data has the potential to decode disease associations from large cohorts with measured phenotypes. However, the repertoire perturbation induced by a given immunological challenge is conditioned on genetic background via major histocompatibility complex (MHC) polymorphism. We explore associations between MHC alleles, immune exposures, and shared TCRs in a large human cohort. Using a previously published repertoire sequencing dataset augmented with high-resolution MHC genotyping, our analysis reveals rich structure: striking imprints of common pathogens, clusters of co-occurring TCRs that may represent markers of shared immune exposures, and substantial variations in TCR-MHC association strength across MHC loci. Guided by atomic contacts in solved TCR:peptide-MHC structures, we identify sequence covariation between TCR and MHC. These insights and our analysis framework lay the groundwork for further explorations into TCR diversity.
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Affiliation(s)
- William S DeWitt
- Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Genome SciencesUniversity of WashingtonSeattleUnited States
| | - Anajane Smith
- Clinical DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
| | - Gary Schoch
- Clinical DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
| | - John A Hansen
- Clinical DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
- Department of MedicineUniversity of WashingtonSeattleUnited States
| | - Frederick A Matsen
- Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Genome SciencesUniversity of WashingtonSeattleUnited States
| | - Philip Bradley
- Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleUnited States
- Institute for Protein DesignUniversity of WashingtonSeattleUnited States
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6
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Elhanati Y, Sethna Z, Callan CG, Mora T, Walczak AM. Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombination. Immunol Rev 2018; 284:167-179. [PMID: 29944757 PMCID: PMC6033145 DOI: 10.1111/imr.12665] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Despite the extreme diversity of T-cell repertoires, many identical T-cell receptor (TCR) sequences are found in a large number of individual mice and humans. These widely shared sequences, often referred to as "public," have been suggested to be over-represented due to their potential immune functionality or their ease of generation by V(D)J recombination. Here, we show that even for large cohorts, the observed degree of sharing of TCR sequences between individuals is well predicted by a model accounting for the known quantitative statistical biases in the generation process, together with a simple model of thymic selection. Whether a sequence is shared by many individuals is predicted to depend on the number of queried individuals and the sampling depth, as well as on the sequence itself, in agreement with the data. We introduce the degree of publicness conditional on the queried cohort size and the size of the sampled repertoires. Based on these observations, we propose a public/private sequence classifier, "PUBLIC" (Public Universal Binary Likelihood Inference Classifier), based on the generation probability, which performs very well even for small cohort sizes.
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Affiliation(s)
- Yuval Elhanati
- Joseph Henry LaboratoriesPrinceton UniversityPrincetonNJUSA
| | - Zachary Sethna
- Joseph Henry LaboratoriesPrinceton UniversityPrincetonNJUSA
| | | | - Thierry Mora
- Laboratoire de physique statistiqueCNRSSorbonne UniversitéUniversité Paris‐Diderot, and École Normale Supérieure (PSL University)ParisFrance
| | - Aleksandra M. Walczak
- Laboratoire de physique théoriqueCNRSSorbonne Université, and École Normale Supérieure (PSL University)ParisFrance
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7
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Pogorelyy MV, Elhanati Y, Marcou Q, Sycheva AL, Komech EA, Nazarov VI, Britanova OV, Chudakov DM, Mamedov IZ, Lebedev YB, Mora T, Walczak AM. Persisting fetal clonotypes influence the structure and overlap of adult human T cell receptor repertoires. PLoS Comput Biol 2017; 13:e1005572. [PMID: 28683116 PMCID: PMC5500008 DOI: 10.1371/journal.pcbi.1005572] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 05/14/2017] [Indexed: 11/30/2022] Open
Abstract
The diversity of T-cell receptors recognizing foreign pathogens is generated through a highly stochastic recombination process, making the independent production of the same sequence rare. Yet unrelated individuals do share receptors, which together constitute a "public" repertoire of abundant clonotypes. The TCR repertoire is initially formed prenatally, when the enzyme inserting random nucleotides is downregulated, producing a limited diversity subset. By statistically analyzing deep sequencing T-cell repertoire data from twins, unrelated individuals of various ages, and cord blood, we show that T-cell clones generated before birth persist and maintain high abundances in adult organisms for decades, slowly decaying with age. Our results suggest that large, low-diversity public clones are created during pre-natal life, and survive over long periods, providing the basis of the public repertoire.
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Affiliation(s)
- Mikhail V. Pogorelyy
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Yuval Elhanati
- Laboratoire de physique théorique, CNRS, UPMC and École normale supérieure, Paris, France
| | - Quentin Marcou
- Laboratoire de physique théorique, CNRS, UPMC and École normale supérieure, Paris, France
| | | | - Ekaterina A. Komech
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Vadim I. Nazarov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Olga V. Britanova
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
- Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Masaryk University, Central European Institute of Technology, Brno, Czech Republic
| | - Dmitriy M. Chudakov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
- Pirogov Russian National Research Medical University, Moscow, Russian Federation
- Masaryk University, Central European Institute of Technology, Brno, Czech Republic
| | - Ilgar Z. Mamedov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Yury B. Lebedev
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russian Federation
| | - Thierry Mora
- Laboratoire de physique statistique, CNRS, UPMC and École normale supérieure, Paris, France
| | - Aleksandra M. Walczak
- Laboratoire de physique théorique, CNRS, UPMC and École normale supérieure, Paris, France
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8
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Heterologous Immunity between Adenoviruses and Hepatitis C Virus: A New Paradigm in HCV Immunity and Vaccines. PLoS One 2016; 11:e0146404. [PMID: 26751211 PMCID: PMC4709057 DOI: 10.1371/journal.pone.0146404] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 12/15/2015] [Indexed: 02/08/2023] Open
Abstract
Adenoviruses (Ad) are commonly used as vectors for gene therapy and/or vaccine delivery. Recombinant Ad vectors are being tested as vaccines for many pathogens. We have made a surprising observation that peptides derived from various hepatitis C virus (HCV) antigens contain extensive regions of homology with multiple adenovirus proteins, and conclusively demonstrate that adenovirus vector can induce robust, heterologous cellular and humoral immune responses against multiple HCV antigens. Intriguingly, the induction of this cross-reactive immunity leads to significant reduction of viral loads in a recombinant vaccinia-HCV virus infected mouse model, supporting their role in antiviral immunity against HCV. Healthy human subjects with Ad-specific pre-existing immunity demonstrated cross-reactive cellular and humoral immune responses against multiple HCV antigens. These findings reveal the potential of a previously uncharacterized property of natural human adenovirus infection to dictate, modulate and/or alter the course of HCV infection upon exposure. This intrinsic property of adenovirus vectors to cross-prime HCV immunity can also be exploited to develop a prophylactic and/or therapeutic vaccine against HCV.
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9
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Shugay M, Bagaev DV, Turchaninova MA, Bolotin DA, Britanova OV, Putintseva EV, Pogorelyy MV, Nazarov VI, Zvyagin IV, Kirgizova VI, Kirgizov KI, Skorobogatova EV, Chudakov DM. VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires. PLoS Comput Biol 2015; 11:e1004503. [PMID: 26606115 PMCID: PMC4659587 DOI: 10.1371/journal.pcbi.1004503] [Citation(s) in RCA: 396] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 08/13/2015] [Indexed: 12/11/2022] Open
Abstract
Despite the growing number of immune repertoire sequencing studies, the field still lacks software for analysis and comprehension of this high-dimensional data. Here we report VDJtools, a complementary software suite that solves a wide range of T cell receptor (TCR) repertoires post-analysis tasks, provides a detailed tabular output and publication-ready graphics, and is built on top of a flexible API. Using TCR datasets for a large cohort of unrelated healthy donors, twins, and multiple sclerosis patients we demonstrate that VDJtools greatly facilitates the analysis and leads to sound biological conclusions. VDJtools software and documentation are available at https://github.com/mikessh/vdjtools.
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Affiliation(s)
- Mikhail Shugay
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - Dmitriy V. Bagaev
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
| | - Maria A. Turchaninova
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - Dmitriy A. Bolotin
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - Olga V. Britanova
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Ekaterina V. Putintseva
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | | | - Vadim I. Nazarov
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- National Research University Higher School of Economics, Moscow, Russia
| | - Ivan V. Zvyagin
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | | | | | | | - Dmitriy M. Chudakov
- Shemyakin-Ovchinnikov Institute of bioorganic chemistry RAS, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- * E-mail:
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10
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Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires. Trends Immunol 2015; 36:738-749. [DOI: 10.1016/j.it.2015.09.006] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 09/15/2015] [Accepted: 09/15/2015] [Indexed: 01/16/2023]
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11
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Stadinski BD, Trenh P, Duke B, Huseby PG, Li G, Stern LJ, Huseby ES. Effect of CDR3 sequences and distal V gene residues in regulating TCR-MHC contacts and ligand specificity. THE JOURNAL OF IMMUNOLOGY 2014; 192:6071-82. [PMID: 24813203 DOI: 10.4049/jimmunol.1303209] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The mature T cell repertoire has the ability to orchestrate immunity to a wide range of potential pathogen challenges. This ability stems from thymic development producing individual T cell clonotypes that express TCRs with unique patterns of Ag reactivity. The Ag specificity of TCRs is created from the combinatorial pairing of one of a set of germline encoded TCR Vα and Vβ gene segments with randomly created CDR3 sequences. How the amalgamation of germline encoded and randomly created TCR sequences results in Ag receptors with unique patterns of ligand specificity is not fully understood. Using cellular, biophysical, and structural analyses, we show that CDR3α residues can modulate the geometry in which TCRs bind peptide-MHC (pMHC), governing whether and how germline encoded TCR Vα and Vβ residues interact with MHC. In addition, a CDR1α residue that is positioned distal to the TCR-pMHC binding interface is shown to contribute to the peptide specificity of T cells. These findings demonstrate that the specificity of individual T cell clonotypes arises not only from TCR residues that create direct contacts with the pMHC, but also from a collection of indirect effects that modulate how TCR residues are used to bind pMHC.
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Affiliation(s)
- Brian D Stadinski
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
| | - Peter Trenh
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
| | - Brian Duke
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
| | - Priya G Huseby
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
| | - Guoqi Li
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
| | - Lawrence J Stern
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01655
| | - Eric S Huseby
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA 01655; and
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12
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Distinctive properties of identical twins' TCR repertoires revealed by high-throughput sequencing. Proc Natl Acad Sci U S A 2014; 111:5980-5. [PMID: 24711416 DOI: 10.1073/pnas.1319389111] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Adaptive immunity in humans is provided by hypervariable Ig-like molecules on the surface of B and T cells. The final set of these molecules in each organism is formed under the influence of two forces: individual genetic traits and the environment, which includes the diverse spectra of alien and self-antigens. Here we assess the impact of individual genetic factors on the formation of the adaptive immunity by analyzing the T-cell receptor (TCR) repertoires of three pairs of monozygous twins by next-generation sequencing. Surprisingly, we found that an overlap between the TCR repertoires of monozygous twins is similar to an overlap between the TCR repertoires of nonrelated individuals. However, the number of identical complementary determining region 3 sequences in two individuals is significantly increased for twin pairs in the fraction of highly abundant TCR molecules, which is enriched by the antigen-experienced T cells. We found that the initial recruitment of particular TCR V genes for recombination and subsequent selection in the thymus is strictly determined by individual genetic factors. J genes of TCRs are selected randomly for recombination; however, the subsequent selection in the thymus gives preference to some α but not β J segments. These findings provide a deeper insight into the mechanism of TCR repertoire generation.
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13
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Putintseva EV, Britanova OV, Staroverov DB, Merzlyak EM, Turchaninova MA, Shugay M, Bolotin DA, Pogorelyy MV, Mamedov IZ, Bobrynina V, Maschan M, Lebedev YB, Chudakov DM. Mother and child T cell receptor repertoires: deep profiling study. Front Immunol 2013; 4:463. [PMID: 24400004 PMCID: PMC3872299 DOI: 10.3389/fimmu.2013.00463] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Accepted: 12/03/2013] [Indexed: 12/03/2022] Open
Abstract
The relationship between maternal and child immunity has been actively studied in the context of complications during pregnancy, autoimmune diseases, and haploidentical transplantation of hematopoietic stem cells and solid organs. Here, we have for the first time used high-throughput Illumina HiSeq sequencing to perform deep quantitative profiling of T cell receptor (TCR) repertoires for peripheral blood samples of three mothers and their six children. Advanced technology allowed accurate identification of 5 × 105 to 2 × 106 TCR beta clonotypes per individual. We performed comparative analysis of these TCR repertoires with the aim of revealing characteristic features that distinguish related mother-child pairs, such as relative TCR beta variable segment usage frequency and relative overlap of TCR beta complementarity-determining region 3 (CDR3) repertoires. We show that thymic selection essentially and similarly shapes the initial output of the TCR recombination machinery in both related and unrelated pairs, with minor effect from inherited differences. The achieved depth of TCR profiling also allowed us to test the hypothesis that mature T cells transferred across the placenta during pregnancy can expand and persist as functional microchimeric clones in their new host, using characteristic TCR beta CDR3 variants as clonal identifiers.
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Affiliation(s)
- Ekaterina V Putintseva
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Olga V Britanova
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Dmitriy B Staroverov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Ekaterina M Merzlyak
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Maria A Turchaninova
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Mikhail Shugay
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Dmitriy A Bolotin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Mikhail V Pogorelyy
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Ilgar Z Mamedov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Vlasta Bobrynina
- Federal Scientific Clinical Center of Pediatric Hematology, Oncology and Immunology , Moscow , Russia
| | - Mikhail Maschan
- Federal Scientific Clinical Center of Pediatric Hematology, Oncology and Immunology , Moscow , Russia
| | - Yuri B Lebedev
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia
| | - Dmitriy M Chudakov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science , Moscow , Russia ; Central European Institute of Technology (CEITEC), Masaryk University , Brno , Czech Republic
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