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Wu F, Wu Y, Yao Y, Xu Y, Peng Q, Ma L, Li J, Yao X. The reverse TRBV30 gene of mammals: a defect or superiority in evolution? BMC Genomics 2024; 25:705. [PMID: 39030501 PMCID: PMC11264764 DOI: 10.1186/s12864-024-10632-4] [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: 12/20/2023] [Accepted: 07/17/2024] [Indexed: 07/21/2024] Open
Abstract
At the 3' end of the C2 gene in the mammalian TRB locus, a distinct reverse TRBV30 gene (named TRBV31 in mice) has been conserved throughout evolution. In the fully annotated TRB locus of 14 mammals (including six orders), we observed noteworthy variations in the localization and quality of the reverse V30 genes and Recombination Signal Sequences (RSSs) in the gene trees of 13 mammals. Conversely, the forward V29 genes and RSSs were generally consistent with the species tree of their corresponding species. This finding suggested that the evolution of the reverse V30 gene was not synchronous and likely played a crucial role in regulating adaptive immune responses. To further investigate this possibility, we utilized single-cell TCR sequencing (scTCR-seq) and high-throughput sequencing (HTS) to analyze TCRβ CDR3 repertoires from both central and peripheral tissues of Primates (Homo sapiens and Macaca mulatta), Rodentia (Mus musculus: BALB/c, C57BL/6, and Kunming mice), Artiodactyla (Bos taurus and Bubalus bubalis), and Chiroptera (Rhinolophus affinis and Hipposideros armige). Our investigation revealed several novel observations: (1) The reverse V30 gene exhibits classical rearrangement patterns adhering to the '12/23 rule' and the 'D-J rearrangement preceding the V-(D-J) rearrangement'. This results in the formation of rearranged V30-D2J2, V30-D1J1, and V30-D1J2. However, we also identified 'special rearrangement patterns' wherein V30-D rearrangement preceding D-J rearrangement, giving rise to rearranged V30-D2-J1 and forward Vx-D2-J. (2) Compared to the 'deletional rearrangement' (looping out) of forward V1-V29 genes, the reverse V30 gene exhibits preferential utilization with 'inversional rearrangement'. This may be attributed to the shorter distance between the V30 gene and D gene and the 'inversional rearrangement' modes. In summary, in the mammalian TRB locus, the reverse V30 gene has been uniquely preserved throughout evolution and preferentially utilized in V(D)J recombination, potentially serving a significant role in adaptive immunity. These results will pave the way for novel and specialized research into the mechanisms, efficiency, and function of V(D)J recombination in mammals.
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Affiliation(s)
- Fengli Wu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Yingjie Wu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Yuanning Yao
- Queen Mary School, Nanchang University, Nanchang, China
| | - Yuanyuan Xu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Qi Peng
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Long Ma
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Jun Li
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China.
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2
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Murphy WJ, Harris AJ. Toward telomere-to-telomere cat genomes for precision medicine and conservation biology. Genome Res 2024; 34:655-664. [PMID: 38849156 PMCID: PMC11216403 DOI: 10.1101/gr.278546.123] [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] [Indexed: 06/09/2024]
Abstract
Genomic data from species of the cat family Felidae promise to stimulate veterinary and human medical advances, and clarify the coherence of genome organization. We describe how interspecies hybrids have been instrumental in the genetic analysis of cats, from the first genetic maps to propelling cat genomes toward the T2T standard set by the human genome project. Genotype-to-phenotype mapping in cat models has revealed dozens of health-related genetic variants, the molecular basis for mammalian pigmentation and patterning, and species-specific adaptations. Improved genomic surveillance of natural and captive populations across the cat family tree will increase our understanding of the genetic architecture of traits, population dynamics, and guide a future of genome-enabled biodiversity conservation.
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Affiliation(s)
- William J Murphy
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843-4458, USA;
- Department of Biology, Texas A&M University, College Station, Texas 77843-4458, USA
- Interdisciplinary Program in Genetics and Genomics, Texas A&M University, College Station, Texas 77843-4458, USA
| | - Andrew J Harris
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843-4458, USA
- Interdisciplinary Program in Genetics and Genomics, Texas A&M University, College Station, Texas 77843-4458, USA
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3
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Corcoran MM, Karlsson Hedestam GB. Adaptive immune receptor germline gene variation. Curr Opin Immunol 2024; 87:102429. [PMID: 38805851 DOI: 10.1016/j.coi.2024.102429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/30/2024] [Accepted: 05/09/2024] [Indexed: 05/30/2024]
Abstract
Recognition of antigens by T cell receptors (TCRs) and B cell receptors (BCRs) is a key step in lymphocyte activation. T and B cells mediate adaptive immune responses, which protect us against infections and provide immunological memory, and also, in some instances, drive pathogenic responses in autoimmune diseases. TCRs and BCRs are encoded within loci that are known to be genetically diverse. However, the extent and functional impact of this variation, both in humans and model animals used in immunological research, remain largely unknown. Experimental and genetic evidence has demonstrated that the complementarity determining regions 1 and 2 (HCDR1 and HCDR2), encoded by the variable (V) region of TCRs and BCRs, also often make critical contacts with the targeted antigen. Thus, knowledge about allelic variation in the genes encoding TCRs and BCRs is critically important for understanding adaptive immune responses in outbred populations and to define responder and non-responder phenotypes.
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Affiliation(s)
- Martin M Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden
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Latorre D, Monticelli S, Wypych TP, Aschenbrenner D, Notarbartolo S. Editorial: T cell specificity and cross-reactivity - implications in physiology and pathology. Front Immunol 2024; 15:1385415. [PMID: 38481997 PMCID: PMC10933105 DOI: 10.3389/fimmu.2024.1385415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 02/19/2024] [Indexed: 04/18/2024] Open
Affiliation(s)
| | - Silvia Monticelli
- Institute for Research in Biomedicine, Università della Svizzera italiana (USI), Bellinzona, Switzerland
| | - Tomasz P. Wypych
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | | | - Samuele Notarbartolo
- Infectious Diseases Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
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Vantourout P, Eum J, Conde Poole M, Hayday TS, Laing AG, Hussain K, Nuamah R, Kannambath S, Moisan J, Stoop A, Battaglia S, Servattalab R, Hsu J, Bayliffe A, Katragadda M, Hayday AC. Innate TCRβ-chain engagement drives human T cells toward distinct memory-like effector phenotypes with immunotherapeutic potentials. SCIENCE ADVANCES 2023; 9:eadj6174. [PMID: 38055824 DOI: 10.1126/sciadv.adj6174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 11/07/2023] [Indexed: 12/08/2023]
Abstract
Clonotypic αβ T cell responses to cargoes presented by major histocompatibility complex (MHC), MR1, or CD1 proteins underpin adaptive immunity. Those responses are mostly mediated by complementarity-determining region 3 motifs created by quasi-random T cell receptor (TCR) gene rearrangements, with diversity being highest for TCRγδ. Nonetheless, TCRγδ also displays nonclonotypic innate responsiveness following engagement of germline-encoded Vγ-specific residues by butyrophilin (BTN) or BTN-like (BTNL) proteins that uniquely mediate γδ T cell subset selection. We now report that nonclonotypic TCR engagement likewise induces distinct phenotypes in TCRαβ+ cells. Specifically, antibodies to germline-encoded human TCRVβ motifs consistently activated naïve or memory T cells toward core states distinct from those induced by anti-CD3 or superantigens and from others commonly reported. Those states combined selective proliferation and effector function with activation-induced inhibitory receptors and memory differentiation. Thus, nonclonotypic TCRVβ targeting broadens our perspectives on human T cell response modes and might offer ways to induce clinically beneficial phenotypes in defined T cell subsets.
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Affiliation(s)
- Pierre Vantourout
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - Josephine Eum
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - María Conde Poole
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - Thomas S Hayday
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
| | - Adam G Laing
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
| | - Khiyam Hussain
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - Rosamond Nuamah
- NIHR BRC Genomics Research Platform, Guy's and St Thomas' NHS Foundation Trust, King's College London School of Medicine, Guy's Hospital, London, SE1 9RT, UK
| | - Shichina Kannambath
- NIHR BRC Genomics Research Platform, Guy's and St Thomas' NHS Foundation Trust, King's College London School of Medicine, Guy's Hospital, London, SE1 9RT, UK
| | | | | | | | | | | | | | | | - Adrian C Hayday
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, SE1 9RT, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
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Mikelov A, Nefediev G, Tashkeev A, Rodriguez OL, Ortmans DA, Skatova V, Izraelson M, Davydov A, Poslavsky S, Rahmouni S, Watson CT, Chudakov D, Boyd SD, Bolotin D. Ultrasensitive allele inference from immune repertoire sequencing data with MiXCR. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.10.561703. [PMID: 38014266 PMCID: PMC10680553 DOI: 10.1101/2023.10.10.561703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Allelic variability in the adaptive immune receptor loci, which harbor the gene segments that encode B cell and T cell receptors (BCR/TCR), has been shown to be of critical importance for immune responses to pathogens and vaccines. In recent years, B cell and T cell receptor repertoire sequencing (Rep-Seq) has become widespread in immunology research making it the most readily available source of information about allelic diversity in immunoglobulin (IG) and T cell receptor (TR) loci in different populations. Here we present a novel algorithm for extra-sensitive and specific variable (V) and joining (J) gene allele inference and genotyping allowing reconstruction of individual high-quality gene segment libraries. The approach can be applied for inferring allelic variants from peripheral blood lymphocyte BCR and TCR repertoire sequencing data, including hypermutated isotype-switched BCR sequences, thus allowing high-throughput genotyping and novel allele discovery from a wide variety of existing datasets. The developed algorithm is a part of the MiXCR software ( https://mixcr.com ) and can be incorporated into any pipeline utilizing upstream processing with MiXCR. We demonstrate the accuracy of this approach using Rep-Seq paired with long-read genomic sequencing data, comparing it to a widely used algorithm, TIgGER. We applied the algorithm to a large set of IG heavy chain (IGH) Rep-Seq data from 450 donors of ancestrally diverse population groups, and to the largest reported full-length TCR alpha and beta chain (TRA; TRB) Rep-Seq dataset, representing 134 individuals. This allowed us to assess the genetic diversity of genes within the IGH, TRA and TRB loci in different populations and demonstrate the connection between antibody repertoire gene usage and the number of allelic variants present in the population. Finally we established a database of allelic variants of V and J genes inferred from Rep-Seq data and their population frequencies with free public access at https://vdj.online .
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Dart RJ, Zlatareva I, Vantourout P, Theodoridis E, Amar A, Kannambath S, East P, Recaldin T, Mansfield JC, Lamb CA, Parkes M, Irving PM, Prescott NJ, Hayday AC. Conserved γδ T cell selection by BTNL proteins limits progression of human inflammatory bowel disease. Science 2023; 381:eadh0301. [PMID: 37708268 PMCID: PMC7615126 DOI: 10.1126/science.adh0301] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 07/19/2023] [Indexed: 09/16/2023]
Abstract
Murine intraepithelial γδ T cells include distinct tissue-protective cells selected by epithelial butyrophilin-like (BTNL) heteromers. To determine whether this biology is conserved in humans, we characterized the colonic γδ T cell compartment, identifying a diverse repertoire that includes a phenotypically distinct subset coexpressing T cell receptor Vγ4 and the epithelium-binding integrin CD103. This subset was disproportionately diminished and dysregulated in inflammatory bowel disease, whereas on-treatment CD103+γδ T cell restoration was associated with sustained inflammatory bowel disease remission. Moreover, CD103+Vγ4+cell dysregulation and loss were also displayed by humans with germline BTNL3/BTNL8 hypomorphism, which we identified as a risk factor for penetrating Crohn's disease (CD). Thus, BTNL-dependent selection and/or maintenance of distinct tissue-intrinsic γδ T cells appears to be an evolutionarily conserved axis limiting the progression of a complex, multifactorial, tissue-damaging disease of increasing global incidence.
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Affiliation(s)
- Robin J Dart
- Peter Gorer Dept of Immunobiology, King’s College London at Guy’s Hospital Campus, London, United Kingdom
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
- Department of Gastroenterology, Guy’s and St Thomas’ Foundation Trust, London, UK
| | - Iva Zlatareva
- Peter Gorer Dept of Immunobiology, King’s College London at Guy’s Hospital Campus, London, United Kingdom
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Pierre Vantourout
- Peter Gorer Dept of Immunobiology, King’s College London at Guy’s Hospital Campus, London, United Kingdom
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Efstathios Theodoridis
- Peter Gorer Dept of Immunobiology, King’s College London at Guy’s Hospital Campus, London, United Kingdom
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Ariella Amar
- Department of Medical and Molecular Genetics, King’s College London, London, UK
| | | | - Philip East
- Bioinformatics and Biostatistics, The Francis Crick Institute, London, UK
| | | | - John C Mansfield
- Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Gastroenterology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Christopher A Lamb
- Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Gastroenterology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Miles Parkes
- Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
| | - Peter M Irving
- Department of Gastroenterology, Guy’s and St Thomas’ Foundation Trust, London, UK
| | - Natalie J Prescott
- Department of Medical and Molecular Genetics, King’s College London, London, UK
| | - Adrian C Hayday
- Peter Gorer Dept of Immunobiology, King’s College London at Guy’s Hospital Campus, London, United Kingdom
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
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Abstract
Immunomodulation of lymphocytes by intestinal epithelial cells could lead to new therapies.
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Affiliation(s)
- Heather J Galipeau
- Farncombe Family Digestive Health Research Institute, Department of Medicine, McMaster University, Hamilton, Canada
| | - Elena F Verdu
- Farncombe Family Digestive Health Research Institute, Department of Medicine, McMaster University, Hamilton, Canada
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Dopico XC, Mandolesi M, Hedestam GBK. Untangling immunoglobulin genotype-function associations. Immunol Lett 2023:S0165-2478(23)00073-1. [PMID: 37209913 DOI: 10.1016/j.imlet.2023.05.003] [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: 01/26/2023] [Revised: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 05/22/2023]
Abstract
Immunoglobulin (IG) genes, encoding B cell receptors (BCRs), are fundamental components of the mammalian immune system, which evolved to recognize the diverse antigenic universe present in nature. To handle these myriad inputs, BCRs are generated through combinatorial recombination of a set of highly polymorphic germline genes, resulting in a vast repertoire of antigen receptors that initiate responses to pathogens and regulate commensals. Following antigen recognition and B cell activation, memory B cells and plasma cells form, allowing for the development of anamnestic antibody (Ab) responses. How inherited variation in IG genes impacts host traits, disease susceptibility, and Ab recall responses is a topic of great interest. Here, we consider approaches to translate emerging knowledge about IG genetic diversity and expressed repertoires to inform our understanding of Ab function in health and disease etiology. As our understanding of IG genetics grows, so will our need for tools to decipher preferences for IG gene or allele usage in different contexts, to better understand antibody responses at the population level.
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Affiliation(s)
- Xaquin Castro Dopico
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.
| | - Marco Mandolesi
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden
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