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Schiffner T, Phung I, Ray R, Irimia A, Tian M, Swanson O, Lee JH, Lee CCD, Marina-Zárate E, Cho SY, Huang J, Ozorowski G, Skog PD, Serra AM, Rantalainen K, Allen JD, Baboo S, Rodriguez OL, Himansu S, Zhou J, Hurtado J, Flynn CT, McKenney K, Havenar-Daughton C, Saha S, Shields K, Schultze S, Smith ML, Liang CH, Toy L, Pecetta S, Lin YC, Willis JR, Sesterhenn F, Kulp DW, Hu X, Cottrell CA, Zhou X, Ruiz J, Wang X, Nair U, Kirsch KH, Cheng HL, Davis J, Kalyuzhniy O, Liguori A, Diedrich JK, Ngo JT, Lewis V, Phelps N, Tingle RD, Spencer S, Georgeson E, Adachi Y, Kubitz M, Eskandarzadeh S, Elsliger MA, Amara RR, Landais E, Briney B, Burton DR, Carnathan DG, Silvestri G, Watson CT, Yates JR, Paulson JC, Crispin M, Grigoryan G, Ward AB, Sok D, Alt FW, Wilson IA, Batista FD, Crotty S, Schief WR. Vaccination induces broadly neutralizing antibody precursors to HIV gp41. Nat Immunol 2024; 25:1073-1082. [PMID: 38816615 PMCID: PMC11147780 DOI: 10.1038/s41590-024-01833-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 04/04/2024] [Indexed: 06/01/2024]
Abstract
A key barrier to the development of vaccines that induce broadly neutralizing antibodies (bnAbs) against human immunodeficiency virus (HIV) and other viruses of high antigenic diversity is the design of priming immunogens that induce rare bnAb-precursor B cells. The high neutralization breadth of the HIV bnAb 10E8 makes elicitation of 10E8-class bnAbs desirable; however, the recessed epitope within gp41 makes envelope trimers poor priming immunogens and requires that 10E8-class bnAbs possess a long heavy chain complementarity determining region 3 (HCDR3) with a specific binding motif. We developed germline-targeting epitope scaffolds with affinity for 10E8-class precursors and engineered nanoparticles for multivalent display. Scaffolds exhibited epitope structural mimicry and bound bnAb-precursor human naive B cells in ex vivo screens, protein nanoparticles induced bnAb-precursor responses in stringent mouse models and rhesus macaques, and mRNA-encoded nanoparticles triggered similar responses in mice. Thus, germline-targeting epitope scaffold nanoparticles can elicit rare bnAb-precursor B cells with predefined binding specificities and HCDR3 features.
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Affiliation(s)
- Torben Schiffner
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany
| | - Ivy Phung
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Rashmi Ray
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Adriana Irimia
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ming Tian
- Howard Hughes Medical Institute, Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Olivia Swanson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Jeong Hyun Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Chang-Chun D Lee
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ester Marina-Zárate
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - So Yeon Cho
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Jiachen Huang
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Gabriel Ozorowski
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Patrick D Skog
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Andreia M Serra
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Kimmo Rantalainen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Joel D Allen
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Sabyasachi Baboo
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | | | - Jianfu Zhou
- Department of Computer Science, Dartmouth College, Hanover, NH, USA
| | - Jonathan Hurtado
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Claudia T Flynn
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Katherine McKenney
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Colin Havenar-Daughton
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Swati Saha
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Steven Schultze
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Chi-Hui Liang
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Toy
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Simone Pecetta
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Ying-Cing Lin
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Jordan R Willis
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Fabian Sesterhenn
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Daniel W Kulp
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Xiaozhen Hu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Christopher A Cottrell
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Xiaoya Zhou
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Jennifer Ruiz
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Xuesong Wang
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Usha Nair
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Kathrin H Kirsch
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Hwei-Ling Cheng
- Howard Hughes Medical Institute, Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jillian Davis
- Howard Hughes Medical Institute, Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Oleksandr Kalyuzhniy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Alessia Liguori
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Jolene K Diedrich
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Julia T Ngo
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Vanessa Lewis
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Nicole Phelps
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Ryan D Tingle
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Skye Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Erik Georgeson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Yumiko Adachi
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Michael Kubitz
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Saman Eskandarzadeh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Marc A Elsliger
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rama R Amara
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Microbiology and Immunology, Emory School of Medicine, Atlanta, GA, USA
| | - Elise Landais
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Bryan Briney
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Multi-omics Vaccine Evaluation Consortium, The Scripps Research Institute, La Jolla, CA, USA
- San Diego Center for AIDS Research, The Scripps Research Institute, La Jolla, CA, USA
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Diane G Carnathan
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Guido Silvestri
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - John R Yates
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - James C Paulson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Gevorg Grigoryan
- Department of Computer Science, Dartmouth College, Hanover, NH, USA
- Department of Biological Sciences, Dartmouth College, Hanover, NH, USA
- Generate Biomedicines, Inc., Somerville, MA, USA
| | - Andrew B Ward
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Devin Sok
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Frederick W Alt
- Howard Hughes Medical Institute, Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Ian A Wilson
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA.
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA.
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
| | - Facundo D Batista
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Shane Crotty
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA.
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
- Division of Infectious Diseases, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
| | - William R Schief
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA.
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (CHAVD), The Scripps Research Institute, La Jolla, CA, USA.
- The Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA.
- Moderna, Inc., Cambridge, MA, USA.
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Tambe A, MacCarthy T, Pavri R. Interpretable deep learning reveals the role of an E-box motif in suppressing somatic hypermutation of AGCT motifs within human immunoglobulin variable regions. Front Immunol 2024; 15:1407470. [PMID: 38863710 PMCID: PMC11165027 DOI: 10.3389/fimmu.2024.1407470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 05/08/2024] [Indexed: 06/13/2024] Open
Abstract
Introduction Somatic hypermutation (SHM) of immunoglobulin variable (V) regions by activation induced deaminase (AID) is essential for robust, long-term humoral immunity against pathogen and vaccine antigens. AID mutates cytosines preferentially within WRCH motifs (where W=A or T, R=A or G and H=A, C or T). However, it has been consistently observed that the mutability of WRCH motifs varies substantially, with large variations in mutation frequency even between multiple occurrences of the same motif within a single V region. This has led to the notion that the immediate sequence context of WRCH motifs contributes to mutability. Recent studies have highlighted the potential role of local DNA sequence features in promoting mutagenesis of AGCT, a commonly mutated WRCH motif. Intriguingly, AGCT motifs closer to 5' ends of V regions, within the framework 1 (FW1) sub-region1, mutate less frequently, suggesting an SHM-suppressing sequence context. Methods Here, we systematically examined the basis of AGCT positional biases in human SHM datasets with DeepSHM, a machine-learning model designed to predict SHM patterns. This was combined with integrated gradients, an interpretability method, to interrogate the basis of DeepSHM predictions. Results DeepSHM predicted the observed positional differences in mutation frequencies at AGCT motifs with high accuracy. For the conserved, lowly mutating AGCT motifs in FW1, integrated gradients predicted a large negative contribution of 5'C and 3'G flanking residues, suggesting that a CAGCTG context in this location was suppressive for SHM. CAGCTG is the recognition motif for E-box transcription factors, including E2A, which has been implicated in SHM. Indeed, we found a strong, inverse relationship between E-box motif fidelity and mutation frequency. Moreover, E2A was found to associate with the V region locale in two human B cell lines. Finally, analysis of human SHM datasets revealed that naturally occurring mutations in the 3'G flanking residues, which effectively ablate the E-box motif, were associated with a significantly increased rate of AGCT mutation. Discussion Our results suggest an antagonistic relationship between mutation frequency and the binding of E-box factors like E2A at specific AGCT motif contexts and, therefore, highlight a new, suppressive mechanism regulating local SHM patterns in human V regions.
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Affiliation(s)
- Abhik Tambe
- Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY, United States
| | - Thomas MacCarthy
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States
| | - Rushad Pavri
- Research Institute of Molecular Pathology (IMP), Vienna, Austria
- Peter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, King’s College London, London, United Kingdom
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3
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Steichen JM, Phung I, Salcedo E, Ozorowski G, Willis JR, Baboo S, Liguori A, Cottrell CA, Torres JL, Madden PJ, Ma KM, Sutton HJ, Lee JH, Kalyuzhniy O, Allen JD, Rodriguez OL, Adachi Y, Mullen TM, Georgeson E, Kubitz M, Burns A, Barman S, Mopuri R, Metz A, Altheide TK, Diedrich JK, Saha S, Shields K, Schultze SE, Smith ML, Schiffner T, Burton DR, Watson CT, Bosinger SE, Crispin M, Yates JR, Paulson JC, Ward AB, Sok D, Crotty S, Schief WR. Vaccine priming of rare HIV broadly neutralizing antibody precursors in nonhuman primates. Science 2024; 384:eadj8321. [PMID: 38753769 DOI: 10.1126/science.adj8321] [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: 07/31/2023] [Accepted: 04/05/2024] [Indexed: 05/18/2024]
Abstract
Germline-targeting immunogens hold promise for initiating the induction of broadly neutralizing antibodies (bnAbs) to HIV and other pathogens. However, antibody-antigen recognition is typically dominated by heavy chain complementarity determining region 3 (HCDR3) interactions, and vaccine priming of HCDR3-dominant bnAbs by germline-targeting immunogens has not been demonstrated in humans or outbred animals. In this work, immunization with N332-GT5, an HIV envelope trimer designed to target precursors of the HCDR3-dominant bnAb BG18, primed bnAb-precursor B cells in eight of eight rhesus macaques to substantial frequencies and with diverse lineages in germinal center and memory B cells. We confirmed bnAb-mimicking, HCDR3-dominant, trimer-binding interactions with cryo-electron microscopy. Our results demonstrate proof of principle for HCDR3-dominant bnAb-precursor priming in outbred animals and suggest that N332-GT5 holds promise for the induction of similar responses in humans.
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Affiliation(s)
- Jon M Steichen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ivy Phung
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Eugenia Salcedo
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Gabriel Ozorowski
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jordan R Willis
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Sabyasachi Baboo
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Alessia Liguori
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Christopher A Cottrell
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jonathan L Torres
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Patrick J Madden
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Krystal M Ma
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Henry J Sutton
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Jeong Hyun Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Oleksandr Kalyuzhniy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Joel D Allen
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Yumiko Adachi
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Tina-Marie Mullen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Erik Georgeson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Michael Kubitz
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Alison Burns
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Shawn Barman
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Rohini Mopuri
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA 30322, USA
- Department of Pathology and Laboratory Medicine, Emory School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Amanda Metz
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA 30322, USA
- Department of Pathology and Laboratory Medicine, Emory School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Tasha K Altheide
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Jolene K Diedrich
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Swati Saha
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Steven E Schultze
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Torben Schiffner
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Steven E Bosinger
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA 30322, USA
- Department of Pathology and Laboratory Medicine, Emory School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Max Crispin
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - John R Yates
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - James C Paulson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Andrew B Ward
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Devin Sok
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Shane Crotty
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - William R Schief
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
- Moderna, Inc., Cambridge, MA 02139, USA
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4
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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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5
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Beaulaurier J, Ly L, Duty JA, Tyer C, Stevens C, Hung CT, Sookdeo A, Drong AW, Kowdle S, Turner DJ, Juul S, Hickey S, Lee B. De novo antibody discovery in human blood from full-length single B cell transcriptomics and matching haplotyped-resolved germline assemblies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586834. [PMID: 38585716 PMCID: PMC10996687 DOI: 10.1101/2024.03.26.586834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Immunoglobulin (IGH, IGK, IGL) loci in the human genome are highly polymorphic regions that encode the building blocks of the light and heavy chain IG proteins that dimerize to form antibodies. The processes of V(D)J recombination and somatic hypermutation in B cells are responsible for creating an enormous reservoir of highly specific antibodies capable of binding a vast array of possible antigens. However, the antibody repertoire is fundamentally limited by the set of variable (V), diversity (D), and joining (J) alleles present in the germline IG loci. To better understand how the germline IG haplotypes contribute to the expressed antibody repertoire, we combined genome sequencing of the germline IG loci with single-cell transcriptome sequencing of B cells from the same donor. Sequencing and assembly of the germline IG loci captured the IGH locus in a single fully-phased contig where the maternal and paternal contributions to the germline V, D, and J repertoire can be fully resolved. The B cells were collected following a measles, mumps, and rubella (MMR) vaccination, resulting in a population of cells that were activated in response to this specific immune challenge. Single-cell, full-length transcriptome sequencing of these B cells resulted in whole transcriptome characterization of each cell, as well as highly-accurate consensus sequences for the somatically rearranged and hypermutated light and heavy chain IG transcripts. A subset of antibodies synthesized based on their consensus heavy and light chain transcript sequences demonstrated binding to measles antigens and neutralization of measles live virus.
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6
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Zhou Q, Ghezelji M, Hari A, Ford MKB, Holley C, Mirabello L, Chanock S, Sahinalp SC, Numanagić I. Geny: A Genotyping Tool for Allelic Decomposition of Killer Cell Immunoglobulin-Like Receptor Genes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.27.582413. [PMID: 38529502 PMCID: PMC10962708 DOI: 10.1101/2024.02.27.582413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Accurate genotyping of Killer cell Immunoglobulin-like Receptor (KIR) genes plays a pivotal role in enhancing our understanding of innate immune responses, disease correlations, and the advancement of personalized medicine. However, due to the high variability of the KIR region and high level of sequence similarity among different KIR genes, the currently available genotyping methods are unable to accurately infer copy numbers, genotypes and haplotypes of individual KIR genes from next-generation sequencing data. Here we introduce Geny, a new computational tool for precise genotyping of KIR genes. Geny utilizes available KIR haplotype databases and proposes a novel combination of expectation-maximization filtering schemes and integer linear programming-based combinatorial optimization models to resolve ambiguous reads, provide accurate copy number estimation and estimate the haplotype of each copy for the genes within the KIR region. We evaluated Geny on a large set of simulated short-read datasets covering the known validated KIR region assemblies and a set of Illumina short-read samples sequenced from 25 validated samples from the Human Pangenome Reference Consortium collection and showed that it outperforms the existing genotyping tools in terms of accuracy, precision and recall. We envision Geny becoming a valuable resource for understanding immune system response and consequently advancing the field of patient-centric medicine.
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7
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Collins AM, Ohlin M, Corcoran M, Heather JM, Ralph D, Law M, Martínez-Barnetche J, Ye J, Richardson E, Gibson WS, Rodriguez OL, Peres A, Yaari G, Watson CT, Lees WD. AIRR-C IG Reference Sets: curated sets of immunoglobulin heavy and light chain germline genes. Front Immunol 2024; 14:1330153. [PMID: 38406579 PMCID: PMC10884231 DOI: 10.3389/fimmu.2023.1330153] [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: 10/30/2023] [Accepted: 12/27/2023] [Indexed: 02/27/2024] Open
Abstract
Introduction Analysis of an individual's immunoglobulin (IG) gene repertoire requires the use of high-quality germline gene reference sets. When sets only contain alleles supported by strong evidence, AIRR sequencing (AIRR-seq) data analysis is more accurate and studies of the evolution of IG genes, their allelic variants and the expressed immune repertoire is therefore facilitated. Methods The Adaptive Immune Receptor Repertoire Community (AIRR-C) IG Reference Sets have been developed by including only human IG heavy and light chain alleles that have been confirmed by evidence from multiple high-quality sources. To further improve AIRR-seq analysis, some alleles have been extended to deal with short 3' or 5' truncations that can lead them to be overlooked by alignment utilities. To avoid other challenges for analysis programs, exact paralogs (e.g. IGHV1-69*01 and IGHV1-69D*01) are only represented once in each set, though alternative sequence names are noted in accompanying metadata. Results and discussion The Reference Sets include less than half the previously recognised IG alleles (e.g. just 198 IGHV sequences), and also include a number of novel alleles: 8 IGHV alleles, 2 IGKV alleles and 5 IGLV alleles. Despite their smaller sizes, erroneous calls were eliminated, and excellent coverage was achieved when a set of repertoires comprising over 4 million V(D)J rearrangements from 99 individuals were analyzed using the Sets. The version-tracked AIRR-C IG Reference Sets are freely available at the OGRDB website (https://ogrdb.airr-community.org/germline_sets/Human) and will be regularly updated to include newly observed and previously reported sequences that can be confirmed by new high-quality data.
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Affiliation(s)
- Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mats Ohlin
- Department of Immunotechnology, and SciLifeLab, Lund University, Lund, Sweden
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - James M. Heather
- Mass General Cancer Center, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Duncan Ralph
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Mansun Law
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States
| | - Jesus Martínez-Barnetche
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico
| | - Jian Ye
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, United States
| | - Eve Richardson
- La Jolla Institute for Immunology, San Diego, CA, United States
| | - William S. Gibson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, United States
| | - Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, United States
| | - Ayelet Peres
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Gur Yaari
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, United States
| | - William D. Lees
- Institute of Structural and Molecular Biology, Birkbeck College, London, United Kingdom
- Human-Centered Computing and Information Science, Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
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8
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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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9
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Peres A, Lees WD, Rodriguez OL, Lee NY, Polak P, Hope R, Kedmi M, Collins AM, Ohlin M, Kleinstein S, Watson C, Yaari G. IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data. Nucleic Acids Res 2023; 51:e86. [PMID: 37548401 PMCID: PMC10484671 DOI: 10.1093/nar/gkad603] [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: 01/03/2023] [Revised: 06/26/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023] Open
Abstract
In adaptive immune receptor repertoire analysis, determining the germline variable (V) allele associated with each T- and B-cell receptor sequence is a crucial step. This process is highly impacted by allele annotations. Aligning sequences, assigning them to specific germline alleles, and inferring individual genotypes are challenging when the repertoire is highly mutated, or sequence reads do not cover the whole V region. Here, we propose an alternative naming scheme for the V alleles, as well as a novel method to infer individual genotypes. We demonstrate the strengths of the two by comparing their outcomes to other genotype inference methods. We validate the genotype approach with independent genomic long-read data. The naming scheme is compatible with current annotation tools and pipelines. Analysis results can be converted from the proposed naming scheme to the nomenclature determined by the International Union of Immunological Societies (IUIS). Both the naming scheme and the genotype procedure are implemented in a freely available R package (PIgLET https://bitbucket.org/yaarilab/piglet). To allow researchers to further explore the approach on real data and to adapt it for their uses, we also created an interactive website (https://yaarilab.github.io/IGHV_reference_book).
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Affiliation(s)
- Ayelet Peres
- Faculty of Engineering, Bar Ilan University, 5290002 Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, 5290002 Ramat Gan, Israel
| | - William D Lees
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, WC1E 7JE, UK
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Noah Y Lee
- Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, 06511, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Pazit Polak
- Faculty of Engineering, Bar Ilan University, 5290002 Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, 5290002 Ramat Gan, Israel
| | - Ronen Hope
- Faculty of Engineering, Bar Ilan University, 5290002 Ramat Gan, Israel
| | - Meirav Kedmi
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
- Division of Hematology and Bone Marrow Transplantation, Chaim Sheba Medical Center, Tel-Hashomer, 5262000, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, 69978, Israel
| | - Andrew M Collins
- School of Biotechnology and Biomedical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Mats Ohlin
- Department of Immunotechnology Lund University, Lund, 221 00, Sweden
| | - Steven H Kleinstein
- Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, 06511, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, 5290002 Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, 5290002 Ramat Gan, Israel
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10
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Bzikadze AV, Pevzner PA. UniAligner: a parameter-free framework for fast sequence alignment. Nat Methods 2023; 20:1346-1354. [PMID: 37580559 DOI: 10.1038/s41592-023-01970-4] [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: 09/13/2022] [Accepted: 07/05/2023] [Indexed: 08/16/2023]
Abstract
Even though the recent advances in 'complete genomics' revealed the previously inaccessible genomic regions, analysis of variations in centromeres and other extra-long tandem repeats (ETRs) faces an algorithmic challenge since there are currently no tools for accurate sequence comparison of ETRs. Counterintuitively, the classical alignment approaches, such as the Smith-Waterman algorithm, fail to construct biologically adequate alignments of ETRs. We present UniAligner-the parameter-free sequence alignment algorithm with sequence-dependent alignment scoring that automatically changes for any pair of compared sequences. UniAligner prioritizes matches of rare substrings that are more likely to be relevant to the evolutionary relationship between two sequences. We apply UniAligner to estimate the mutation rates in human centromeres, and quantify the extremely high rate of large duplications and deletions in centromeres. This high rate suggests that centromeres may represent some of the most rapidly evolving regions of the human genome with respect to their structural organization.
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Affiliation(s)
- Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA
| | - Pavel A Pevzner
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
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11
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Rodriguez OL, Safonova Y, Silver CA, Shields K, Gibson WS, Kos JT, Tieri D, Ke H, Jackson KJL, Boyd SD, Smith ML, Marasco WA, Watson CT. Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire. Nat Commun 2023; 14:4419. [PMID: 37479682 PMCID: PMC10362067 DOI: 10.1038/s41467-023-40070-x] [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: 08/29/2022] [Accepted: 07/11/2023] [Indexed: 07/23/2023] Open
Abstract
Variation in the antibody response has been linked to differential outcomes in disease, and suboptimal vaccine and therapeutic responsiveness, the determinants of which have not been fully elucidated. Countering models that presume antibodies are generated largely by stochastic processes, we demonstrate that polymorphisms within the immunoglobulin heavy chain locus (IGH) impact the naive and antigen-experienced antibody repertoire, indicating that genetics predisposes individuals to mount qualitatively and quantitatively different antibody responses. We pair recently developed long-read genomic sequencing methods with antibody repertoire profiling to comprehensively resolve IGH genetic variation, including novel structural variants, single nucleotide variants, and genes and alleles. We show that IGH germline variants determine the presence and frequency of antibody genes in the expressed repertoire, including those enriched in functional elements linked to V(D)J recombination, and overlapping disease-associated variants. These results illuminate the power of leveraging IGH genetics to better understand the regulation, function, and dynamics of the antibody response in disease.
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Affiliation(s)
- Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Yana Safonova
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Catherine A Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - William S Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Justin T Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - David Tieri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Hanzhong Ke
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Scott D Boyd
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
| | - Wayne A Marasco
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
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12
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Purcell RA, Theisen RM, Arnold KB, Chung AW, Selva KJ. Polyfunctional antibodies: a path towards precision vaccines for vulnerable populations. Front Immunol 2023; 14:1183727. [PMID: 37600816 PMCID: PMC10433199 DOI: 10.3389/fimmu.2023.1183727] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/30/2023] [Indexed: 08/22/2023] Open
Abstract
Vaccine efficacy determined within the controlled environment of a clinical trial is usually substantially greater than real-world vaccine effectiveness. Typically, this results from reduced protection of immunologically vulnerable populations, such as children, elderly individuals and people with chronic comorbidities. Consequently, these high-risk groups are frequently recommended tailored immunisation schedules to boost responses. In addition, diverse groups of healthy adults may also be variably protected by the same vaccine regimen. Current population-based vaccination strategies that consider basic clinical parameters offer a glimpse into what may be achievable if more nuanced aspects of the immune response are considered in vaccine design. To date, vaccine development has been largely empirical. However, next-generation approaches require more rational strategies. We foresee a generation of precision vaccines that consider the mechanistic basis of vaccine response variations associated with both immunogenetic and baseline health differences. Recent efforts have highlighted the importance of balanced and diverse extra-neutralising antibody functions for vaccine-induced protection. However, in immunologically vulnerable populations, significant modulation of polyfunctional antibody responses that mediate both neutralisation and effector functions has been observed. Here, we review the current understanding of key genetic and inflammatory modulators of antibody polyfunctionality that affect vaccination outcomes and consider how this knowledge may be harnessed to tailor vaccine design for improved public health.
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Affiliation(s)
- Ruth A. Purcell
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Robert M. Theisen
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Kelly B. Arnold
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Amy W. Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Kevin J. Selva
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
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13
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Lees WD, Christley S, Peres A, Kos JT, Corrie B, Ralph D, Breden F, Cowell LG, Yaari G, Corcoran M, Karlsson Hedestam GB, Ohlin M, Collins AM, Watson CT, Busse CE. AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets. IMMUNOINFORMATICS (AMSTERDAM, NETHERLANDS) 2023; 10:100025. [PMID: 37388275 PMCID: PMC10310305 DOI: 10.1016/j.immuno.2023.100025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Analysis of an individual's immunoglobulin or T cell receptor gene repertoire can provide important insights into immune function. High-quality analysis of adaptive immune receptor repertoire sequencing data depends upon accurate and relatively complete germline sets, but current sets are known to be incomplete. Established processes for the review and systematic naming of receptor germline genes and alleles require specific evidence and data types, but the discovery landscape is rapidly changing. To exploit the potential of emerging data, and to provide the field with improved state-of-the-art germline sets, an intermediate approach is needed that will allow the rapid publication of consolidated sets derived from these emerging sources. These sets must use a consistent naming scheme and allow refinement and consolidation into genes as new information emerges. Name changes should be minimised, but, where changes occur, the naming history of a sequence must be traceable. Here we outline the current issues and opportunities for the curation of germline IG/TR genes and present a forward-looking data model for building out more robust germline sets that can dovetail with current established processes. We describe interoperability standards for germline sets, and an approach to transparency based on principles of findability, accessibility, interoperability, and reusability.
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Affiliation(s)
- William D. Lees
- Institute of Structural and Molecular Biology, Birkbeck College, London, England
- Human-Centered Computing and Information Science, Institute for Systems and Computer Engineering Technology and Science, Porto, Portugal
| | - Scott Christley
- Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA
| | - Ayelet Peres
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Justin T. Kos
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, KY, USA
| | - Brian Corrie
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Duncan Ralph
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Felix Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Lindsay G. Cowell
- Peter O’Donnell Jr. School of Public Health, Department of Immunology, School of Biomedical Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Gur Yaari
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Swede
| | | | - Mats Ohlin
- Department of Immunotechnology and SciLifeLab, Lund University, Lund, Sweden
| | - Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, KY, USA
| | - Christian E. Busse
- Division of B Cell Immunology, German Cancer Research Center, Heidelberg, Germany
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14
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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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15
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Ford EE, Tieri D, Rodriguez OL, Francoeur NJ, Soto J, Kos JT, Peres A, Gibson WS, Silver CA, Deikus G, Hudson E, Woolley CR, Beckmann N, Charney A, Mitchell TC, Yaari G, Sebra RP, Watson CT, Smith ML. FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:1607-1619. [PMID: 37027017 PMCID: PMC10152037 DOI: 10.4049/jimmunol.2200825] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/14/2023] [Indexed: 04/08/2023]
Abstract
Current Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) using short-read sequencing strategies resolve expressed Ab transcripts with limited resolution of the C region. In this article, we present the near-full-length AIRR-seq (FLAIRR-seq) method that uses targeted amplification by 5' RACE, combined with single-molecule, real-time sequencing to generate highly accurate (99.99%) human Ab H chain transcripts. FLAIRR-seq was benchmarked by comparing H chain V (IGHV), D (IGHD), and J (IGHJ) gene usage, complementarity-determining region 3 length, and somatic hypermutation to matched datasets generated with standard 5' RACE AIRR-seq using short-read sequencing and full-length isoform sequencing. Together, these data demonstrate robust FLAIRR-seq performance using RNA samples derived from PBMCs, purified B cells, and whole blood, which recapitulated results generated by commonly used methods, while additionally resolving H chain gene features not documented in IMGT at the time of submission. FLAIRR-seq data provide, for the first time, to our knowledge, simultaneous single-molecule characterization of IGHV, IGHD, IGHJ, and IGHC region genes and alleles, allele-resolved subisotype definition, and high-resolution identification of class switch recombination within a clonal lineage. In conjunction with genomic sequencing and genotyping of IGHC genes, FLAIRR-seq of the IgM and IgG repertoires from 10 individuals resulted in the identification of 32 unique IGHC alleles, 28 (87%) of which were previously uncharacterized. Together, these data demonstrate the capabilities of FLAIRR-seq to characterize IGHV, IGHD, IGHJ, and IGHC gene diversity for the most comprehensive view of bulk-expressed Ab repertoires to date.
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Affiliation(s)
- Easton E. Ford
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - David Tieri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Nancy J. Francoeur
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Juan Soto
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Justin T. Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Ayelet Peres
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - William S. Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Catherine A. Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Elizabeth Hudson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Cassandra R. Woolley
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Noam Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Alexander Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Thomas C. Mitchell
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Robert P. Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Melissa L. Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
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16
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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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17
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Pushparaj P, Nicoletto A, Castro Dopico X, Sheward DJ, Kim S, Ekström S, Murrell B, Corcoran M, Karlsson Hedestam GB. Frequent use of IGHV3-30-3 in SARS-CoV-2 neutralizing antibody responses. FRONTIERS IN VIROLOGY 2023; 3:1128253. [PMID: 37041983 PMCID: PMC7614418 DOI: 10.3389/fviro.2023.1128253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
The antibody response to SARS-CoV-2 shows biased immunoglobulin heavy chain variable (IGHV) gene usage, allowing definition of genetic signatures for some classes of neutralizing antibodies. We investigated IGHV gene usage frequencies by sorting spike-specific single memory B cells from individuals infected with SARS-CoV-2 early in the pandemic. From two study participants and 703 spike-specific B cells, the most used genes were IGHV1-69, IGHV3-30-3, and IGHV3-30. Here, we focused on the IGHV3-30 group of genes and an IGHV3-30-3-using ultrapotent neutralizing monoclonal antibody, CAB-F52, which displayed broad neutralizing activity also in its germline-reverted form. IGHV3-30-3 is encoded by a region of the IGH locus that is highly variable at both the allelic and structural levels. Using personalized IG genotyping, we found that 4 of 14 study participants lacked the IGHV3-30-3 gene on both chromosomes, raising the question if other, highly similar IGHV genes could substitute for IGHV3-30-3 in persons lacking this gene. In the context of CAB-F52, we found that none of the tested IGHV3-33 alleles, but several IGHV3-30 alleles could substitute for IGHV3-30-3, suggesting functional redundancy between the highly homologous IGHV3-30 and IGHV3-30-3 genes for this antibody.
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Affiliation(s)
- Pradeepa Pushparaj
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Andrea Nicoletto
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Xaquin Castro Dopico
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Daniel J. Sheward
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Sungyong Kim
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Simon Ekström
- Department of Biomedical Engineering, Lund University, Lund, Sweden
| | - Ben Murrell
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Gunilla B. Karlsson Hedestam
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- CORRESPONDENCE Gunilla B. Karlsson Hedestam
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18
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Characterization of the immunoglobulin lambda chain locus from diverse populations reveals extensive genetic variation. Genes Immun 2023; 24:21-31. [PMID: 36539592 PMCID: PMC10041605 DOI: 10.1038/s41435-022-00188-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/07/2022] [Accepted: 10/13/2022] [Indexed: 12/24/2022]
Abstract
Immunoglobulins (IGs), crucial components of the adaptive immune system, are encoded by three genomic loci. However, the complexity of the IG loci severely limits the effective use of short read sequencing, limiting our knowledge of population diversity in these loci. We leveraged existing long read whole-genome sequencing (WGS) data, fosmid technology, and IG targeted single-molecule, real-time (SMRT) long-read sequencing (IG-Cap) to create haplotype-resolved assemblies of the IG Lambda (IGL) locus from 6 ethnically diverse individuals. In addition, we generated 10 diploid assemblies of IGL from a diverse cohort of individuals utilizing IG-Cap. From these 16 individuals, we identified significant allelic diversity, including 36 novel IGLV alleles. In addition, we observed highly elevated single nucleotide variation (SNV) in IGLV genes relative to IGL intergenic and genomic background SNV density. By comparing SNV calls between our high quality assemblies and existing short read datasets from the same individuals, we show a high propensity for false-positives in the short read datasets. Finally, for the first time, we nucleotide-resolved common 5-10 Kb duplications in the IGLC region that contain functional IGLJ and IGLC genes. Together these data represent a significant advancement in our understanding of genetic variation and population diversity in the IGL locus.
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19
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Immunoglobulin germline gene polymorphisms influence the function of SARS-CoV-2 neutralizing antibodies. Immunity 2023; 56:193-206.e7. [PMID: 36574772 PMCID: PMC9742198 DOI: 10.1016/j.immuni.2022.12.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/23/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
The human immunoglobulin heavy-chain (IGH) locus is exceptionally polymorphic, with high levels of allelic and structural variation. Thus, germline IGH genotypes are personal, which may influence responses to infection and vaccination. For an improved understanding of inter-individual differences in antibody responses, we isolated SARS-CoV-2 spike-specific monoclonal antibodies from convalescent health care workers, focusing on the IGHV1-69 gene, which has the highest level of allelic variation of all IGHV genes. The IGHV1-69∗20-using CAB-I47 antibody and two similar antibodies isolated from an independent donor were critically dependent on allele usage. Neutralization was retained when reverting the V region to the germline IGHV1-69∗20 allele but lost when reverting to other IGHV1-69 alleles. Structural data confirmed that two germline-encoded polymorphisms, R50 and F55, in the IGHV1-69 gene were required for high-affinity receptor-binding domain interaction. These results demonstrate that polymorphisms in IGH genes can influence the function of SARS-CoV-2 neutralizing antibodies.
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20
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Pennell M, Rodriguez OL, Watson CT, Greiff V. The evolutionary and functional significance of germline immunoglobulin gene variation. Trends Immunol 2023; 44:7-21. [PMID: 36470826 DOI: 10.1016/j.it.2022.11.001] [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: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 12/04/2022]
Abstract
The recombination between immunoglobulin (IG) gene segments determines an individual's naïve antibody repertoire and, consequently, (auto)antigen recognition. Emerging evidence suggests that mammalian IG germline variation impacts humoral immune responses associated with vaccination, infection, and autoimmunity - from the molecular level of epitope specificity, up to profound changes in the architecture of antibody repertoires. These links between IG germline variants and immunophenotype raise the question on the evolutionary causes and consequences of diversity within IG loci. We discuss why the extreme diversity in IG loci remains a mystery, why resolving this is important for the design of more effective vaccines and therapeutics, and how recent evidence from multiple lines of inquiry may help us do so.
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Affiliation(s)
- Matt Pennell
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA; Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Victor Greiff
- Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway.
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21
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Narang S, Kaduk M, Chernyshev M, Karlsson Hedestam GB, Corcoran MM. Adaptive immune receptor genotyping using the corecount program. Front Immunol 2023; 14:1125884. [PMID: 37114042 PMCID: PMC10126697 DOI: 10.3389/fimmu.2023.1125884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/27/2023] [Indexed: 04/29/2023] Open
Abstract
We present a new Rep-Seq analysis tool called corecount, for analyzing genotypic variation in immunoglobulin (IG) and T cell receptor (TCR) genes. corecount is highly efficient at identifying V alleles, including those that are infrequently used in expressed repertoires and those that contain 3' end variation that are otherwise refractory to reliable identification during germline inference from expressed libraries. Furthermore, corecount facilitates accurate D and J gene genotyping. The output is highly reproducible and facilitates the comparison of genotypes from multiple individuals, such as those from clinical cohorts. Here, we applied corecount to the genotypic analysis of IgM libraries from 16 individuals. To demonstrate the accuracy of corecount, we Sanger sequenced all the heavy chain IG alleles (65 IGHV, 27 IGHD and 7 IGHJ) from one individual from whom we also produced two independent IgM Rep-seq datasets. Genomic analysis revealed that 5 known IGHV and 2 IGHJ sequences are truncated in current reference databases. This dataset of genomically validated alleles and IgM libraries from the same individual provides a useful resource for benchmarking other bioinformatic programs that involve V, D and J assignments and germline inference, and may facilitate the development of AIRR-Seq analysis tools that can take benefit from the availability of more comprehensive reference databases.
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22
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Hardt U, Corcoran MM, Narang S, Malmström V, Padyukov L, Karlsson Hedestam GB. Analysis of IGH allele content in a sample group of rheumatoid arthritis patients demonstrates unrevealed population heterogeneity. Front Immunol 2023; 14:1073414. [PMID: 36798124 PMCID: PMC9927645 DOI: 10.3389/fimmu.2023.1073414] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
Immunoglobulin heavy chain (IGH) germline gene variations influence the B cell receptor repertoire, with resulting biological consequences such as shaping our response to infections and altering disease susceptibilities. However, the lack of information on polymorphism frequencies in the IGH loci at the population level makes association studies challenging. Here, we genotyped a pilot group of 30 individuals with rheumatoid arthritis (RA) to examine IGH allele content and frequencies in this group. Eight novel IGHV alleles and one novel IGHJ allele were identified in the study. 15 cases were haplotypable using heterozygous IGHJ6 or IGHD anchors. One variant, IGHV4-34*01_S0742, was found in three out of 30 cases and included a single nucleotide change resulting in a non-canonical recombination signal sequence (RSS) heptamer. This variant allele, shown by haplotype analysis to be non-expressed, was also found in three out of 30 healthy controls and matched a single nucleotide polymorphism (SNP) described in the 1000 Genomes Project (1KGP) collection with frequencies that varied between population groups. Our finding of previously unreported alleles in a relatively small group of individuals with RA illustrates the need for baseline information about IG allelic frequencies in targeted study groups in preparation for future analysis of these genes in disease association studies.
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Affiliation(s)
- Uta Hardt
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden and Karolinska University Hospital, Stockholm, Sweden.,Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Martin M Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Sanjana Narang
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Vivianne Malmström
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden and Karolinska University Hospital, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden and Karolinska University Hospital, Stockholm, Sweden
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23
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Gragert L. A template for multitudes: Germline immune polymorphism of the T cell receptor loci. CELL GENOMICS 2022; 2:100231. [PMID: 36778048 PMCID: PMC9903699 DOI: 10.1016/j.xgen.2022.100231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Short-read next-generation sequencing has failed to adequately genotype the T cell receptor (TCR) loci, limiting our ability to characterize the role of germline TCR variation. In this issue of Cell Genomics, Rodriguez et al.1 describe how a probe-based hybrid capture approach coupled with long-read sequencing can resolve fully phased TCR locus haplotypes from diploid human genomes.
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Affiliation(s)
- Loren Gragert
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, USA,Corresponding author
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24
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Rodriguez OL, Silver CA, Shields K, Smith ML, Watson CT. Targeted long-read sequencing facilitates phased diploid assembly and genotyping of the human T cell receptor alpha, delta, and beta loci. CELL GENOMICS 2022; 2:100228. [PMID: 36778049 PMCID: PMC9903726 DOI: 10.1016/j.xgen.2022.100228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/25/2022] [Accepted: 11/05/2022] [Indexed: 12/02/2022]
Abstract
T cell receptors (TCRs) recognize peptide fragments presented by the major histocompatibility complex (MHC) and are critical to T cell-mediated immunity. Recent data have indicated that genetic diversity within TCR-encoding gene regions is underexplored, limiting understanding of the impact of TCR loci polymorphisms on TCR function in disease, even though TCR repertoire signatures (1) are heritable and (2) associate with disease phenotypes. To address this, we developed a targeted long-read sequencing approach to generate highly accurate haplotype resolved assemblies of the TCR beta (TRB) and alpha/delta (TRA/D) loci, facilitating the genotyping of all variant types, including structural variants. We validate our approach using two mother-father-child trios and 5 unrelated donors representing multiple populations. This resulted in improved genotyping accuracy and the discovery of 84 undocumented V, D, J, and C alleles, demonstrating the utility of this framework for improving our understanding of TCR diversity and function in disease.
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Affiliation(s)
- Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Catherine A. Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Melissa L. Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA,Corresponding author
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25
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Ford MKB, Hari A, Rodriguez O, Xu J, Lack J, Oguz C, Zhang Y, Weber S, Magliocco M, Barnett J, Xirasagar S, Samuel S, Imberti L, Bonfanti P, Biondi A, Dalgard CL, Chanock S, Rosen L, Holland S, Su H, Notarangelo L, Vishkin U, Watson CT, Sahinalp SC. ImmunoTyper-SR: A computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data. Cell Syst 2022; 13:808-816.e5. [PMID: 36265467 PMCID: PMC10084889 DOI: 10.1016/j.cels.2022.08.008] [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: 04/01/2022] [Revised: 07/20/2022] [Accepted: 08/22/2022] [Indexed: 01/26/2023]
Abstract
Human immunoglobulin heavy chain (IGH) locus on chromosome 14 includes more than 40 functional copies of the variable gene (IGHV), which are critical for the structure of antibodies that identify and neutralize pathogenic invaders as a part of the adaptive immune system. Because of its highly repetitive sequence composition, the IGH locus has been particularly difficult to assemble or genotype when using standard short-read sequencing technologies. Here, we introduce ImmunoTyper-SR, an algorithmic tool for the genotyping and CNV analysis of the germline IGHV genes on Illumina whole-genome sequencing (WGS) data using a combinatorial optimization formulation that resolves ambiguous read mappings. We have validated ImmunoTyper-SR on 12 individuals, whose IGHV allele composition had been independently validated, as well as concordance between WGS replicates from nine individuals. We then applied ImmunoTyper-SR on 585 COVID patients to investigate the associations between IGHV alleles and anti-type I IFN autoantibodies, which were previously associated with COVID-19 severity.
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Affiliation(s)
| | - Ananth Hari
- National Cancer Institute, NIH, Bethesda, MD, USA; Department of Electrical Engineering, University of Maryland, College Park, MD, USA
| | - Oscar Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Junyan Xu
- National Cancer Institute, NIH, Bethesda, MD, USA
| | - Justin Lack
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Cihan Oguz
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Yu Zhang
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Sarah Weber
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Mary Magliocco
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Jason Barnett
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Sandhya Xirasagar
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Smilee Samuel
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Luisa Imberti
- Diagnostic Department, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Paolo Bonfanti
- University of Milano-Bicocca, Fondazione MBBM, Monza, Italy
| | - Andrea Biondi
- University of Milano-Bicocca, Fondazione MBBM, Monza, Italy
| | - Clifton L Dalgard
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Lindsey Rosen
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Steven Holland
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Helen Su
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Luigi Notarangelo
- National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Uzi Vishkin
- Department of Electrical Engineering, University of Maryland, College Park, MD, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
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26
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Lin MJ, Lin YC, Chen NC, Luo AC, Lai SK, Hsu CL, Hsu JS, Chen CY, Yang WS, Chen PL. Profiling genes encoding the adaptive immune receptor repertoire with gAIRR Suite. Front Immunol 2022; 13:922513. [PMID: 36159868 PMCID: PMC9496171 DOI: 10.3389/fimmu.2022.922513] [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: 05/05/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
Adaptive immune receptor repertoire (AIRR) is encoded by T cell receptor (TR) and immunoglobulin (IG) genes. Profiling these germline genes encoding AIRR (abbreviated as gAIRR) is important in understanding adaptive immune responses but is challenging due to the high genetic complexity. Our gAIRR Suite comprises three modules. gAIRR-seq, a probe capture-based targeted sequencing pipeline, profiles gAIRR from individual DNA samples. gAIRR-call and gAIRR-annotate call alleles from gAIRR-seq reads and annotate whole-genome assemblies, respectively. We gAIRR-seqed TRV and TRJ of seven Genome in a Bottle (GIAB) DNA samples with 100% accuracy and discovered novel alleles. We also gAIRR-seqed and gAIRR-called the TR and IG genes of a subject from both the peripheral blood mononuclear cells (PBMC) and oral mucosal cells. The calling results from these two cell types have a high concordance (99% for all known gAIRR alleles). We gAIRR-annotated 36 genomes to unearth 325 novel TRV alleles and 29 novel TRJ alleles. We could further profile the flanking sequences, including the recombination signal sequence (RSS). We validated two structural variants for HG002 and uncovered substantial differences of gAIRR genes in references GRCh37 and GRCh38. gAIRR Suite serves as a resource to sequence, analyze, and validate germline TR and IG genes to study various immune-related phenotypes.
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Affiliation(s)
- Mao-Jan Lin
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
| | - Yu-Chun Lin
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
| | - Allen Chilun Luo
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
| | - Sheng-Kai Lai
- Academia Sinica and National Taiwan University, Taipei, Taiwan
| | - Chia-Lang Hsu
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Oncology, School of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Jacob Shujui Hsu
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
| | - Chien-Yu Chen
- Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan
| | - Wei-Shiung Yang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Academia Sinica and National Taiwan University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pei-Lung Chen
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Academia Sinica and National Taiwan University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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27
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Collins AM, Watson CT, Breden F. Immunoglobulin genes, reproductive isolation and vertebrate speciation. Immunol Cell Biol 2022; 100:497-506. [PMID: 35781330 PMCID: PMC9545137 DOI: 10.1111/imcb.12567] [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: 03/24/2022] [Revised: 06/19/2022] [Accepted: 06/21/2022] [Indexed: 12/15/2022]
Abstract
Reproductive isolation drives the formation of new species, and many genes contribute to this through Dobzhansky–Muller incompatibilities (DMIs). These incompatibilities occur when gene divergence affects loci encoding interacting products such as receptors and their ligands. We suggest here that the nature of vertebrate immunoglobulin (IG) genes must make them prone to DMIs. The genes of these complex loci form functional genes through the process of recombination, giving rise to a repertoire of heterodimeric receptors of incredible diversity. This repertoire, within individuals and within species, must defend against pathogens but must also avoid pathogenic self‐reactivity. We suggest that this avoidance of autoimmunity is only achieved through a coordination of evolution between heavy‐ and light‐chain genes, and between these genes and the rest of the genome. Without coordinated evolution, the hybrid offspring of two diverging populations will carry a heavy burden of DMIs, resulting in a loss of fitness. Critical incompatibilities could manifest as incompatibilities between a mother and her divergent offspring. During fetal development, biochemical differences between the parents of hybrid offspring could make their offspring a target of the maternal immune system. This hypothesis was conceived in the light of recent insights into the population genetics of IG genes. This has suggested that antibody genes are probably as susceptible to evolutionary forces as other parts of the genome. Further repertoire studies in human and nonhuman species should now help determine whether antibody genes have been part of the evolutionary forces that drive the development of species.
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Affiliation(s)
- Andrew M Collins
- School of Biotechnology and Biomolecular Sciences University of New South Wales Sydney NSW Australia
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics University of Louisville School of Medicine Louisville KY USA
| | - Felix Breden
- Department of Biological Sciences Simon Fraser University Burnaby BC Canada
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28
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Miao X, Yu Y, Zhao Z, Wang Y, Qian X, Wang Y, Li S, Wang C. Chromosome-Level Haplotype Assembly for Equus asinu. Front Genet 2022; 13:738105. [PMID: 35692816 PMCID: PMC9186339 DOI: 10.3389/fgene.2022.738105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Haplotype provides significant insights into understanding genomes at both individual and population levels. However, research on many non-model organisms is still based on independent genetic variations due to the lack of haplotype.Results: We conducted haplotype assembling for Equus asinu, a non-model organism that plays a vital role in human civilization. We described the hybrid single individual assembled haplotype of the Dezhou donkey based on the high-depth sequencing data from single-molecule real-time sequencing (×30), Illumina short-read sequencing (×211), and high-throughput chromosome conformation capture (×56). We assembled a near-complete haplotype for the high-depth sequenced Dezhou donkey individual and a phased cohort for the resequencing data of the donkey population.Conclusion: Here, we described the complete chromosome-scale haplotype of the Dezhou donkey with more than a 99.7% phase rate. We further phased a cohort of 156 donkeys to form a donkey haplotype dataset with more than 39 million genetic variations.
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Affiliation(s)
- Xinyao Miao
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
- College of Forensic & Medicine, Xi’an Jiaotong University, Xi’an, China
| | - Yonghan Yu
- Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Zicheng Zhao
- Shenzhen Byoryn Technology Co., Ltd., Shenzhen, China
| | - Yinan Wang
- College of Forensic & Medicine, Xi’an Jiaotong University, Xi’an, China
| | - Xiaobo Qian
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Yonghui Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Shengbin Li
- College of Forensic & Medicine, Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Shengbin Li, ; Changfa Wang,
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
- *Correspondence: Shengbin Li, ; Changfa Wang,
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29
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Sirupurapu V, Safonova Y, Pevzner P. Gene prediction in the immunoglobulin loci. Genome Res 2022; 32:1152-1169. [PMID: 35545447 DOI: 10.1101/gr.276676.122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/06/2022] [Indexed: 11/25/2022]
Abstract
The V(D)J recombination process rearranges the variable (V), diversity (D), and joining (J) genes in the immunoglobulin loci to generate antibody repertoires. Annotation of these loci across various species and predicting the V, D, and J genes (IG genes) is critical for studies of the adaptive immune system. However, since the standard gene finding algorithms are not suitable for predicting IG genes, they have been semi-manually annotated in very few species. We developed the IGDetective algorithm for predicting IG genes and applied it to species with the assembled IG loci. IGDetective generated the first large collection of IG genes across many species and enabled their evolutionary analysis, including the analysis of the "bat IG diversity" hypothesis. This analysis revealed extremely conserved V genes in evolutionary distant species indicating that these genes may be subjected to the same selective pressure, e.g., pressure driven by common pathogens. IGDetective also revealed extremely diverged V genes and a new family of evolutionary conserved V genes in bats with unusual noncanonical cysteines. Moreover, in difference from all other previously reported antibodies, these cysteines are located within complementarity-determining regions. Since cysteines form disulfide bonds, we hypothesize that these cysteine-rich V genes might generate antibodies with noncanonical conformations and could potentially form a unique part of the immune repertoire in bats. We also analyzed the diversity landscape of the recombination signal sequences and revealed their features that trigger the high/low usage of the IG genes.
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30
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Williams DL, Sikora VM, Hammer MA, Amin S, Brinjikji T, Brumley EK, Burrows CJ, Carrillo PM, Cromer K, Edwards SJ, Emri O, Fergle D, Jenkins MJ, Kaushik K, Maydan DD, Woodard W, Clowney EJ. May the Odds Be Ever in Your Favor: Non-deterministic Mechanisms Diversifying Cell Surface Molecule Expression. Front Cell Dev Biol 2022; 9:720798. [PMID: 35087825 PMCID: PMC8787164 DOI: 10.3389/fcell.2021.720798] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022] Open
Abstract
How does the information in the genome program the functions of the wide variety of cells in the body? While the development of biological organisms appears to follow an explicit set of genomic instructions to generate the same outcome each time, many biological mechanisms harness molecular noise to produce variable outcomes. Non-deterministic variation is frequently observed in the diversification of cell surface molecules that give cells their functional properties, and is observed across eukaryotic clades, from single-celled protozoans to mammals. This is particularly evident in immune systems, where random recombination produces millions of antibodies from only a few genes; in nervous systems, where stochastic mechanisms vary the sensory receptors and synaptic matching molecules produced by different neurons; and in microbial antigenic variation. These systems employ overlapping molecular strategies including allelic exclusion, gene silencing by constitutive heterochromatin, targeted double-strand breaks, and competition for limiting enhancers. Here, we describe and compare five stochastic molecular mechanisms that produce variety in pathogen coat proteins and in the cell surface receptors of animal immune and neuronal cells, with an emphasis on the utility of non-deterministic variation.
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Affiliation(s)
- Donnell L. Williams
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
| | - Veronica Maria Sikora
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Max A. Hammer
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Sayali Amin
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Taema Brinjikji
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Emily K. Brumley
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Connor J. Burrows
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Paola Michelle Carrillo
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Kirin Cromer
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Summer J. Edwards
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Olivia Emri
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Daniel Fergle
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - M. Jamal Jenkins
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
| | - Krishangi Kaushik
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Daniella D. Maydan
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Wrenn Woodard
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - E. Josephine Clowney
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
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31
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Omer A, Peres A, Rodriguez OL, Watson CT, Lees W, Polak P, Collins AM, Yaari G. T cell receptor beta germline variability is revealed by inference from repertoire data. Genome Med 2022; 14:2. [PMID: 34991709 PMCID: PMC8740489 DOI: 10.1186/s13073-021-01008-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 12/08/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND T and B cell receptor (TCR, BCR) repertoires constitute the foundation of adaptive immunity. Adaptive immune receptor repertoire sequencing (AIRR-seq) is a common approach to study immune system dynamics. Understanding the genetic factors influencing the composition and dynamics of these repertoires is of major scientific and clinical importance. The chromosomal loci encoding for the variable regions of TCRs and BCRs are challenging to decipher due to repetitive elements and undocumented structural variants. METHODS To confront this challenge, AIRR-seq-based methods have recently been developed for B cells, enabling genotype and haplotype inference and discovery of undocumented alleles. However, this approach relies on complete coverage of the receptors' variable regions, whereas most T cell studies sequence a small fraction of that region. Here, we adapted a B cell pipeline for undocumented alleles, genotype, and haplotype inference for full and partial AIRR-seq TCR data sets. The pipeline also deals with gene assignment ambiguities, which is especially important in the analysis of data sets of partial sequences. RESULTS From the full and partial AIRR-seq TCR data sets, we identified 39 undocumented polymorphisms in T cell receptor Beta V (TRBV) and 31 undocumented 5 ' UTR sequences. A subset of these inferences was also observed using independent genomic approaches. We found that a single nucleotide polymorphism differentiating between the two documented T cell receptor Beta D2 (TRBD2) alleles is strongly associated with dramatic changes in the expressed repertoire. CONCLUSIONS We reveal a rich picture of germline variability and demonstrate how a single nucleotide polymorphism dramatically affects the composition of the whole repertoire. Our findings provide a basis for annotation of TCR repertoires for future basic and clinical studies.
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Affiliation(s)
- Aviv Omer
- Faculty of Engineering, Bar Ilan University, Ramat Gan, 5290002, Israel
- Bar Ilan institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel
| | - Ayelet Peres
- Faculty of Engineering, Bar Ilan University, Ramat Gan, 5290002, Israel
- Bar Ilan institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - William Lees
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, UK
| | - Pazit Polak
- Faculty of Engineering, Bar Ilan University, Ramat Gan, 5290002, Israel
- Bar Ilan institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel
| | - Andrew M Collins
- School of Biotechnology and Biomedical Sciences, University of New South Wales, Sydney, Australia
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, 5290002, Israel.
- Bar Ilan institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 5290002, Israel.
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32
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Rodriguez OL, Sharp AJ, Watson CT. Limitations of lymphoblastoid cell lines for establishing genetic reference datasets in the immunoglobulin loci. PLoS One 2021; 16:e0261374. [PMID: 34898642 PMCID: PMC8668129 DOI: 10.1371/journal.pone.0261374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/30/2021] [Indexed: 11/18/2022] Open
Abstract
Lymphoblastoid cell lines (LCLs) have been critical to establishing genetic resources for biomedical science. They have been used extensively to study human genetic diversity, genome function, and inform the development of tools and methodologies for augmenting disease genetics research. While the validity of variant callsets from LCLs has been demonstrated for most of the genome, previous work has shown that DNA extracted from LCLs is modified by V(D)J recombination within the immunoglobulin (IG) loci, regions that harbor antibody genes critical to immune system function. However, the impacts of V(D)J on short read sequencing data generated from LCLs has not been extensively investigated. In this study, we used LCL-derived short read sequencing data from the 1000 Genomes Project (n = 2,504) to identify signatures of V(D)J recombination. Our analyses revealed sample-level impacts of V(D)J recombination that varied depending on the degree of inferred monoclonality. We showed that V(D)J associated somatic deletions impacted genotyping accuracy, leading to adulterated population-level estimates of allele frequency and linkage disequilibrium. These findings illuminate limitations of using LCLs and short read data for building genetic resources in the IG loci, with implications for interpreting previous disease association studies in these regions.
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Affiliation(s)
- Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States of America
| | - Andrew J. Sharp
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States of America
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33
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Slabodkin A, Chernigovskaya M, Mikocziova I, Akbar R, Scheffer L, Pavlović M, Bashour H, Snapkov I, Mehta BB, Weber CR, Gutierrez-Marcos J, Sollid LM, Haff IH, Sandve GK, Robert PA, Greiff V. Individualized VDJ recombination predisposes the available Ig sequence space. Genome Res 2021; 31:2209-2224. [PMID: 34815307 PMCID: PMC8647828 DOI: 10.1101/gr.275373.121] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022]
Abstract
The process of recombination between variable (V), diversity (D), and joining (J) immunoglobulin (Ig) gene segments determines an individual's naive Ig repertoire and, consequently, (auto)antigen recognition. VDJ recombination follows probabilistic rules that can be modeled statistically. So far, it remains unknown whether VDJ recombination rules differ between individuals. If these rules differed, identical (auto)antigen-specific Ig sequences would be generated with individual-specific probabilities, signifying that the available Ig sequence space is individual specific. We devised a sensitivity-tested distance measure that enables inter-individual comparison of VDJ recombination models. We discovered, accounting for several sources of noise as well as allelic variation in Ig sequencing data, that not only unrelated individuals but also human monozygotic twins and even inbred mice possess statistically distinguishable immunoglobulin recombination models. This suggests that, in addition to genetic, there is also nongenetic modulation of VDJ recombination. We demonstrate that population-wide individualized VDJ recombination can result in orders of magnitude of difference in the probability to generate (auto)antigen-specific Ig sequences. Our findings have implications for immune receptor-based individualized medicine approaches relevant to vaccination, infection, and autoimmunity.
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Affiliation(s)
- Andrei Slabodkin
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Maria Chernigovskaya
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Ivana Mikocziova
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Rahmad Akbar
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Lonneke Scheffer
- Department of Informatics, University of Oslo, 0373 Oslo, Norway
| | - Milena Pavlović
- Department of Informatics, University of Oslo, 0373 Oslo, Norway
| | - Habib Bashour
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Igor Snapkov
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Brij Bhushan Mehta
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Cédric R Weber
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
| | | | - Ludvig M Sollid
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | | | | | - Philippe A Robert
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
| | - Victor Greiff
- Department of Immunology and Oslo University Hospital, University of Oslo, 0372 Oslo, Norway
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34
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Shafin K, Pesout T, Chang PC, Nattestad M, Kolesnikov A, Goel S, Baid G, Kolmogorov M, Eizenga JM, Miga KH, Carnevali P, Jain M, Carroll A, Paten B. Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads. Nat Methods 2021; 18:1322-1332. [PMID: 34725481 PMCID: PMC8571015 DOI: 10.1038/s41592-021-01299-w] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 09/06/2021] [Indexed: 01/15/2023]
Abstract
Long-read sequencing has the potential to transform variant detection by reaching currently difficult-to-map regions and routinely linking together adjacent variations to enable read-based phasing. Third-generation nanopore sequence data have demonstrated a long read length, but current interpretation methods for their novel pore-based signal have unique error profiles, making accurate analysis challenging. Here, we introduce a haplotype-aware variant calling pipeline, PEPPER-Margin-DeepVariant, that produces state-of-the-art variant calling results with nanopore data. We show that our nanopore-based method outperforms the short-read-based single-nucleotide-variant identification method at the whole-genome scale and produces high-quality single-nucleotide variants in segmental duplications and low-mappability regions where short-read-based genotyping fails. We show that our pipeline can provide highly contiguous phase blocks across the genome with nanopore reads, contiguously spanning between 85% and 92% of annotated genes across six samples. We also extend PEPPER-Margin-DeepVariant to PacBio HiFi data, providing an efficient solution with superior performance over the current WhatsHap-DeepVariant standard. Finally, we demonstrate de novo assembly polishing methods that use nanopore and PacBio HiFi reads to produce diploid assemblies with high accuracy (Q35+ nanopore-polished and Q40+ PacBio HiFi-polished).
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Affiliation(s)
| | - Trevor Pesout
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | | | | | | | | | | | | | - Karen H Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Miten Jain
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
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35
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Huang Y, Thörnqvist L, Ohlin M. Computational Inference, Validation, and Analysis of 5'UTR-Leader Sequences of Alleles of Immunoglobulin Heavy Chain Variable Genes. Front Immunol 2021; 12:730105. [PMID: 34671351 PMCID: PMC8521166 DOI: 10.3389/fimmu.2021.730105] [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: 06/24/2021] [Accepted: 09/06/2021] [Indexed: 12/05/2022] Open
Abstract
Upstream and downstream sequences of immunoglobulin genes may affect the expression of such genes. However, these sequences are rarely studied or characterized in most studies of immunoglobulin repertoires. Inference from large, rearranged immunoglobulin transcriptome data sets offers an opportunity to define the upstream regions (5'-untranslated regions and leader sequences). We have now established a new data pre-processing procedure to eliminate artifacts caused by a 5'-RACE library generation process, reanalyzed a previously studied data set defining human immunoglobulin heavy chain genes, and identified novel upstream regions, as well as previously identified upstream regions that may have been identified in error. Upstream sequences were also identified for a set of previously uncharacterized germline gene alleles. Several novel upstream region variants were validated, for instance by their segregation to a single haplotype in heterozygotic subjects. SNPs representing several sequence variants were identified from population data. Finally, based on the outcomes of the analysis, we define a set of testable hypotheses with respect to the placement of particular alleles in complex IGHV locus haplotypes, and discuss the evolutionary relatedness of particular heavy chain variable genes based on sequences of their upstream regions.
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Affiliation(s)
| | | | - Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden
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36
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Yan SM, Sherman RM, Taylor DJ, Nair DR, Bortvin AN, Schatz MC, McCoy RC. Local adaptation and archaic introgression shape global diversity at human structural variant loci. eLife 2021; 10:e67615. [PMID: 34528508 PMCID: PMC8492059 DOI: 10.7554/elife.67615] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/14/2021] [Indexed: 12/13/2022] Open
Abstract
Large genomic insertions and deletions are a potent source of functional variation, but are challenging to resolve with short-read sequencing, limiting knowledge of the role of such structural variants (SVs) in human evolution. Here, we used a graph-based method to genotype long-read-discovered SVs in short-read data from diverse human genomes. We then applied an admixture-aware method to identify 220 SVs exhibiting extreme patterns of frequency differentiation - a signature of local adaptation. The top two variants traced to the immunoglobulin heavy chain locus, tagging a haplotype that swept to near fixation in certain southeast Asian populations, but is rare in other global populations. Further investigation revealed evidence that the haplotype traces to gene flow from Neanderthals, corroborating the role of immune-related genes as prominent targets of adaptive introgression. Our study demonstrates how recent technical advances can help resolve signatures of key evolutionary events that remained obscured within technically challenging regions of the genome.
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Affiliation(s)
- Stephanie M Yan
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Rachel M Sherman
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Divya R Nair
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Andrew N Bortvin
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
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37
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Lee JH, Toy L, Kos JT, Safonova Y, Schief WR, Havenar-Daughton C, Watson CT, Crotty S. Vaccine genetics of IGHV1-2 VRC01-class broadly neutralizing antibody precursor naïve human B cells. NPJ Vaccines 2021; 6:113. [PMID: 34489473 PMCID: PMC8421370 DOI: 10.1038/s41541-021-00376-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 07/29/2021] [Indexed: 02/07/2023] Open
Abstract
A successful HIV vaccine eliciting broadly neutralizing antibodies (bnAbs) must overcome the hurdle of being able to activate naive precursor B cells encoding features within their germline B cell receptors (BCR) that allow recognition of broadly neutralizing epitopes. Knowledge of whether bnAb precursor B cells are circulating at sufficient frequencies within individuals in communities heavily impacted by HIV may be important. Using a germline-targeting eOD-GT8 immunogen and high-throughput droplet-based single-cell BCR sequencing, we demonstrate that large numbers of paired BCR sequences from multiple donors can be efficiently screened to elucidate precursor frequencies of rare, naive VRC01-class B cells. Further, we analyzed IGHV1-2 allelic usage among three different cohorts; we find that IGHV1-2 alleles traditionally thought to be incompatible with VRC01-class responses are relatively common in various human populations and that germline variation within IGHV1-2 associates with gene usage frequencies in the naive BCR repertoire.
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Affiliation(s)
- Jeong Hyun Lee
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Toy
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Justin T Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Yana Safonova
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
- Computer Science and Engineering Department, University of California San Diego, San Diego, CA, USA
| | - William R Schief
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
- International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Colin Havenar-Daughton
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
| | - Shane Crotty
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA.
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA, USA.
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA.
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38
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Using de novo assembly to identify structural variation of eight complex immune system gene regions. PLoS Comput Biol 2021; 17:e1009254. [PMID: 34343164 PMCID: PMC8363018 DOI: 10.1371/journal.pcbi.1009254] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 08/13/2021] [Accepted: 07/06/2021] [Indexed: 12/11/2022] Open
Abstract
Driven by the necessity to survive environmental pathogens, the human immune system has evolved exceptional diversity and plasticity, to which several factors contribute including inheritable structural polymorphism of the underlying genes. Characterizing this variation is challenging due to the complexity of these loci, which contain extensive regions of paralogy, segmental duplication and high copy-number repeats, but recent progress in long-read sequencing and optical mapping techniques suggests this problem may now be tractable. Here we assess this by using long-read sequencing platforms from PacBio and Oxford Nanopore, supplemented with short-read sequencing and Bionano optical mapping, to sequence DNA extracted from CD14+ monocytes and peripheral blood mononuclear cells from a single European individual identified as HV31. We use this data to build a de novo assembly of eight genomic regions encoding four key components of the immune system, namely the human leukocyte antigen, immunoglobulins, T cell receptors, and killer-cell immunoglobulin-like receptors. Validation of our assembly using k-mer based and alignment approaches suggests that it has high accuracy, with estimated base-level error rates below 1 in 10 kb, although we identify a small number of remaining structural errors. We use the assembly to identify heterozygous and homozygous structural variation in comparison to GRCh38. Despite analyzing only a single individual, we find multiple large structural variants affecting core genes at all three immunoglobulin regions and at two of the three T cell receptor regions. Several of these variants are not accurately callable using current algorithms, implying that further methodological improvements are needed. Our results demonstrate that assessing haplotype variation in these regions is possible given sufficiently accurate long-read and associated data. Continued reductions in the cost of these technologies will enable application of these methods to larger samples and provide a broader catalogue of germline structural variation at these loci, an important step toward making these regions accessible to large-scale genetic association studies. The human immune system is incredibly versatile underlying its capacity to defend the body against thousands of pathogens. At a molecular level, it recognizes pathogens using large libraries of antibodies and related protein receptors. These molecules are encoded by gene families that are particularly difficult to analyze due to their unusually complex patterns of similarities and differences between genes and individuals. To overcome this, we applied several sequencing methods to DNA from a single individual and developed methods to reconstruct the underlying sequence at eight of the immune-associated regions. Importantly, we used DNA extracted from monocytes to avoid capturing the further rearrangements that occur in active immune cells. We generated accurate assemblies by integrating multiple complementary data types, although we noted a small subset of locations that remain challenging. Moreover, we found that this individual contains multiple structural differences between the two inherited chromosomes and compared to previously analyzed genomes, affecting the copy number of immune system genes. Application of these methods in larger numbers of individuals will clearly uncover much more variation than is currently known, and might lead to new understanding of the effect of genetic variation on the broad range of human diseases determined by the immune response.
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39
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Abstract
Immunogenomics studies have been largely limited to individuals of European ancestry, restricting the ability to identify variation in human adaptive immune responses across populations. Inclusion of a greater diversity of individuals in immunogenomics studies will substantially enhance our understanding of human immunology.
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40
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Kenter AL, Watson CT, Spille JH. Igh Locus Polymorphism May Dictate Topological Chromatin Conformation and V Gene Usage in the Ig Repertoire. Front Immunol 2021; 12:682589. [PMID: 34084176 PMCID: PMC8167033 DOI: 10.3389/fimmu.2021.682589] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 04/26/2021] [Indexed: 01/08/2023] Open
Abstract
Vast repertoires of unique antigen receptors are created in developing B and T lymphocytes. The antigen receptor loci contain many variable (V), diversity (D) and joining (J) gene segments that are arrayed across very large genomic expanses and are joined to form variable-region exons of expressed immunoglobulins and T cell receptors. This process creates the potential for an organism to respond to large numbers of different pathogens. Here, we consider the possibility that genetic polymorphisms with alterations in a vast array of regulatory elements in the immunoglobulin heavy chain (IgH) locus lead to changes in locus topology and impact immune-repertoire formation.
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Affiliation(s)
- Amy L. Kenter
- Department of Microbiology and Immunology, University of Illinois College of Medicine, Chicago, IL, United States
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States
| | - Jan-Hendrik Spille
- Department of Physics, University of Illinois at Chicago, Chicago, IL, United States
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41
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Shemesh O, Polak P, Lundin KEA, Sollid LM, Yaari G. Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls. Front Immunol 2021; 12:627813. [PMID: 33790900 PMCID: PMC8006302 DOI: 10.3389/fimmu.2021.627813] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/17/2021] [Indexed: 12/13/2022] Open
Abstract
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietary gluten proteins. The disease has high heritability. HLA is the major susceptibility factor, and the HLA effect is mediated via presentation of deamidated gluten peptides by disease-associated HLA-DQ variants to CD4+ T cells. In addition to gluten-specific CD4+ T cells the patients have antibodies to transglutaminase 2 (autoantigen) and deamidated gluten peptides. These disease-specific antibodies recognize defined epitopes and they display common usage of specific heavy and light chains across patients. Interactions between T cells and B cells are likely central in the pathogenesis, but how the repertoires of naïve T and B cells relate to the pathogenic effector cells is unexplored. To this end, we applied machine learning classification models to naïve B cell receptor (BCR) repertoires from CeD patients and healthy controls. Strikingly, we obtained a promising classification performance with an F1 score of 85%. Clusters of heavy and light chain sequences were inferred and used as features for the model, and signatures associated with the disease were then characterized. These signatures included amino acid (AA) 3-mers with distinct bio-physiochemical characteristics and enriched V and J genes. We found that CeD-associated clusters can be identified and that common motifs can be characterized from naïve BCR repertoires. The results may indicate a genetic influence by BCR encoding genes in CeD. Analysis of naïve BCRs as presented here may become an important part of assessing the risk of individuals to develop CeD. Our model demonstrates the potential of using BCR repertoires and in particular, naïve BCR repertoires, as disease susceptibility markers.
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Affiliation(s)
- Or Shemesh
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Pazit Polak
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Knut E. A. Lundin
- K.G. Jebsen Center for Coeliac Disease Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Oslo University Hospital Rikshopsitalet, Oslo, Norway
| | - Ludvig M. Sollid
- K.G. Jebsen Center for Coeliac Disease Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Immunology, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Gur Yaari
- Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
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42
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Immunoglobulin germline gene variation and its impact on human disease. Genes Immun 2021; 22:205-217. [PMID: 34175903 PMCID: PMC8234759 DOI: 10.1038/s41435-021-00145-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/01/2021] [Accepted: 06/10/2021] [Indexed: 02/06/2023]
Abstract
Immunoglobulins (Ig) play an important role in the immune system both when expressed as antigen receptors on the cell surface of B cells and as antibodies secreted into extracellular fluids. The advent of high-throughput sequencing methods has enabled the investigation of human Ig repertoires at unprecedented depth. This has led to the discovery of many previously unreported germline Ig alleles. Moreover, it is becoming clear that convergent and stereotypic antibody responses are common where different individuals recognise defined antigenic epitopes with the use of the same Ig V genes. Thus, germline V gene variation is increasingly being linked to the differential capacity of generating an effective immune response, which might lead to varying disease susceptibility. Here, we review recent evidence of how germline variation in Ig genes impacts the Ig repertoire and its subsequent effects on the adaptive immune response in vaccination, infection, and autoimmunity.
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43
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Collins AM, Peres A, Corcoran MM, Watson CT, Yaari G, Lees WD, Ohlin M. Commentary on Population matched (pm) germline allelic variants of immunoglobulin (IG) loci: relevance in infectious diseases and vaccination studies in human populations. Genes Immun 2021; 22:335-338. [PMID: 34667305 PMCID: PMC8674141 DOI: 10.1038/s41435-021-00152-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/29/2021] [Accepted: 10/05/2021] [Indexed: 12/11/2022]
Affiliation(s)
- Andrew M. Collins
- grid.1005.40000 0004 4902 0432School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW Australia
| | - Ayelet Peres
- grid.22098.310000 0004 1937 0503Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel ,grid.22098.310000 0004 1937 0503Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Martin M. Corcoran
- grid.4714.60000 0004 1937 0626Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Corey T. Watson
- grid.266623.50000 0001 2113 1622Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY USA
| | - Gur Yaari
- grid.22098.310000 0004 1937 0503Bioengineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel ,grid.22098.310000 0004 1937 0503Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - William D. Lees
- grid.509978.a0000 0004 0432 693XInstitute of Structural and Molecular Biology, Birkbeck College, University of London, London, UK
| | - Mats Ohlin
- grid.4514.40000 0001 0930 2361Department of Immunotechnology, Lund University, Lund, Sweden
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44
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Reply to the Commentary on population matched (pm) germline allelic variants of immunoglobulin (IG) loci: relevance in infectious diseases and vaccination studies in human populations. Genes Immun 2021; 22:339-342. [PMID: 34876659 PMCID: PMC8674126 DOI: 10.1038/s41435-021-00155-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 10/27/2021] [Accepted: 11/02/2021] [Indexed: 11/24/2022]
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45
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Collins AM, Yaari G, Shepherd AJ, Lees W, Watson CT. Germline immunoglobulin genes: Disease susceptibility genes hidden in plain sight? CURRENT OPINION IN SYSTEMS BIOLOGY 2020; 24:100-108. [PMID: 37008538 PMCID: PMC10062056 DOI: 10.1016/j.coisb.2020.10.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Immunoglobulin genes are rarely considered as disease susceptibility genes despite their obvious and central contributions to immune function. This appears to be a consequence of historical views on antibody repertoire formation that no longer stand, and of difficulties that until recently surrounded the documentation of the suite of antibody genes in any individual. If these important genes are to be accessible to GWAS studies, allelic variation within the human population needs to be better documented, and a curated set of genomic variations associated with antibody genes needs to be formulated. Repertoire studies arising from the COVID-19 pandemic provide an opportunity to meet these needs, and may provide insights into the profound variability that is seen in outcomes to this infection.
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