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Debbagh C, Folch G, Jabado-Michaloud J, Giudicelli V, Kossida S. Deciphering Gorilla gorilla gorilla immunoglobulin loci in multiple genome assemblies and enrichment of IMGT resources. Front Immunol 2024; 15:1475003. [PMID: 39450182 PMCID: PMC11499206 DOI: 10.3389/fimmu.2024.1475003] [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: 08/02/2024] [Accepted: 09/19/2024] [Indexed: 10/26/2024] Open
Abstract
Through the analysis of immunoglobulin genes at the IGH, IGK, and IGL loci from four Gorilla gorilla gorilla genome assemblies, IMGT® provides an in-depth overview of these loci and their individual variations in a species closely related to humans. The similarity between gorilla and human IG gene organization allowed the assignment of gorilla IG gene names based on their human counterparts. This study revealed significant findings, including variability in the IGH locus, the presence of known and new copy number variations (CNVs), and the accurate estimation of IGHG genes. The IGK locus displayed remarkable homogeneity and lacked the gene duplication seen in humans, while the IGL locus showed a previously unconfirmed CNV in the J-C cluster. The curated data from these analyses, available on the IMGT website, enhance our understanding of gorilla immunogenetics and provide valuable insights into primate evolution.
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Affiliation(s)
- Chahrazed Debbagh
- The International ImMunoGeneTics Information System (IMGT), Institute of Human Genetics (IGH), National Center for Scientific Research (CNRS), University of Montpellier (UM), Montpellier, France
| | - Géraldine Folch
- The International ImMunoGeneTics Information System (IMGT), Institute of Human Genetics (IGH), National Center for Scientific Research (CNRS), University of Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- The International ImMunoGeneTics Information System (IMGT), Institute of Human Genetics (IGH), National Center for Scientific Research (CNRS), University of Montpellier (UM), Montpellier, France
| | - Véronique Giudicelli
- The International ImMunoGeneTics Information System (IMGT), Institute of Human Genetics (IGH), National Center for Scientific Research (CNRS), University of Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- The International ImMunoGeneTics Information System (IMGT), Institute of Human Genetics (IGH), National Center for Scientific Research (CNRS), University of Montpellier (UM), Montpellier, France
- Institut Universitaire de France (IUF), Paris, France
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Lefranc MP, Lefranc G. Using IMGT unique numbering for IG allotypes and Fc-engineered variants of effector properties and half-life of therapeutic antibodies. Immunol Rev 2024. [PMID: 39367563 DOI: 10.1111/imr.13399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2024]
Abstract
Therapeutic monoclonal antibodies (mAb) are usually of the IgG1, IgG2, and IgG4 classes, and their heavy chains may be modified by amino acid (aa) changes involved in antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), complement-dependent cytotoxicity (CDC), and/or half-life. Allotypes and Fc-engineered variants are classified using IMGT/HGNC gene nomenclature (e.g., Homo sapiens IGHG1). Allotype names follow the WHO/IMGT nomenclature. IMGT-engineered variant names use the IMGT nomenclature (e.g., Homsap G1v1), which comprises species and gene name (both abbreviated) followed by the letter v (for variant) and a number. Both allotypes and engineered variants are defined by their aa changes and positions, based on the IMGT unique numbering for C domain, identified in sequence motifs, referred to as IMGT topological motifs, as their limits and length are standardized and correspond to a structural feature (e.g., strand or loop). One hundred twenty-six variants are displayed with their type, IMGT numbering, Eu-IMGT positions, motifs before and after changes, and their property and function (effector and half-life). Three motifs characterize effector variants, CH2 1.6-3, 23-BC-41, and the FG loop, whereas three different motifs characterize half-life variants, two on CH2 13-AB-18 and 89-96 with H93, and one on CH3 the FG loop with H115.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR 9002 Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier Cedex 5, France
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR 9002 Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier Cedex 5, France
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Lefranc MP, Lefranc G. Antibody Sequence and Structure Analyses Using IMGT ®: 30 Years of Immunoinformatics. Methods Mol Biol 2023; 2552:3-59. [PMID: 36346584 DOI: 10.1007/978-1-0716-2609-2_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org , the global reference in immunogenetics and immunoinformatics, was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR) of the adaptive immune responses. The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® standardized analysis of the IG, TR, and major histocompatibility (MH) genes and proteins bridges the gap between sequences and three-dimensional (3D) structures, for all jawed vertebrates from fish to humans. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY axioms, and primarily CLASSIFICATION (IMGT gene and allele nomenclature) and NUMEROTATION (IMGT unique numbering and IMGT Colliers de Perles). IMGT® comprises seven databases (IMGT/LIGM-DB for nucleotide sequences, IMGT/GENE-DB for genes and alleles, etc.), 17 tools (IMGT/V-QUEST, IMGT/JunctionAnalysis, IMGT/HighV-QUEST for NGS, etc.), and more than 20,000 Web resources. In this chapter, the focus is on the tools for amino acid sequences per domain (IMGT/DomainGapAlign and IMGT/Collier-de-Perles), and on the databases for receptors (IMGT/2Dstructure-DB and IMGT/3D-structure-DB) described per receptor, chain, and domain and, for 3D, with contact analysis, paratope, and epitope. The IMGT/mAb-DB is the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), composite proteins for clinical applications (CPCA), and related proteins of interest (RPI) with links to IMGT® 2D and 3D databases and to the World Health Organization (WHO) International Nonproprietary Names (INN) program lists. The chapter includes the human IG allotypes and antibody engineered variants for effector properties used in the description of therapeutical mAb.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
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Yu M, Zhu Z, Wang Y, Wang P, Jia X, Wang J, Liu L, Liu W, Zheng Y, Kou G, Xu W, Huang J, Lu F, Zou X, Zheng S, Lu Y, Zhao J, Dai H, Qiu X. A new strategy: identification of specific antibodies for neutralizing epitope on SARS-CoV-2 S protein by LC-MS/MS combined with immune repertoire. MOLECULAR BIOMEDICINE 2022; 3:20. [PMID: 35788448 PMCID: PMC9253215 DOI: 10.1186/s43556-022-00085-0] [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: 04/11/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
Although the SARS-CoV-2 vaccine has been widely used worldwide, not all individuals can produce neutralization antibodies, so it is still urgent to find and prepare neutralization antibodies for COVID-19 prevention or treatment. In this study, we created a new strategy to effectively obtain neutralizing antibodies or complementary determining region 3 (CDR3) of neutralizing antibodies against SARS-CoV-2. We first predicted and synthesized several B cell epitopes on RBD and adjacent RBD of S protein, then the B cell epitopes were used to prepare affinity chromatography columns respectively and purify the binding IgG from serum samples of convalescent COVID-19 patients. After these IgGs were identified to have neutralizing activity, the peptide sequences of the antigen-binding regions (variable region) of neutralizing antibodies were analyzed by protein mass spectrometry. Subsequently, the B cells from the same individual were sorted and used to obtain their full BCR repertoire by 5′ RACE combined with high-throughput of PacBio sequencing method. Then, the peptide sequence of neutralizing antibody variable region by protein mass spectrometry was mapped to the full BCR repertoire and found the full variable region sequence of neutralizing antibodies. Finally, we obtained and synthesized numerous CDR3 peptides of neutralizing antibodies to confirm the neutralizing activity for SARS-CoV-2 infection. Our results indicate that the novel scheme will be suitable for rapid screening of neutralizing antibodies, including screening neutralizing antibodies against SARS-CoV-2 and other pathogenic microorganisms.
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Lefranc MP, Lefranc G. IMGT ® Nomenclature of Engineered IGHG Variants Involved in Antibody Effector Properties and Formats. Antibodies (Basel) 2022; 11:65. [PMID: 36278618 PMCID: PMC9624366 DOI: 10.3390/antib11040065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
The constant region of the immunoglobulin (IG) or antibody heavy gamma chain is frequently engineered to modify the effector properties of the therapeutic monoclonal antibodies. These variants are classified in regards to their effects on effector functions, antibody-dependent cytotoxicity (ADCC), antibody-dependent phagocytosis (ADCP), complement-dependent cytotoxicity (CDC) enhancement or reduction, B cell inhibition by the coengagement of antigen and FcγR on the same cell, on half-life increase, and/or on structure such as prevention of IgG4 half-IG exchange, hexamerisation, knobs-into-holes and the heteropairing H-H of bispecific antibodies, absence of disulfide bridge inter H-L, absence of glycosylation site, and site-specific drug attachment engineered cysteine. The IMGT engineered variant identifier is comprised of the species and gene name (and eventually allele), the letter 'v' followed by a number (assigned chronologically), and for each concerned domain (e.g, CH1, h, CH2 and CH3), the novel AA (single letter abbreviation) and IMGT position according to the IMGT unique numbering for the C-domain and between parentheses, the Eu numbering. IMGT engineered variants are described with detailed amino acid changes, visualized in motifs based on the IMGT numbering bridging genes, sequences, and structures for higher order description.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), UMR 9002 CNRS-UM, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), UMR 9002 CNRS-UM, CEDEX 5, 34396 Montpellier, France
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Lefranc MP, Lefranc G. IMGT/3Dstructure-DB: T-Cell Receptor TR Paratope and Peptide/Major Histocompatibility pMH Contact Sites and Epitope. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2453:533-570. [PMID: 35622341 DOI: 10.1007/978-1-0716-2115-8_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
T-cell receptors (TR), the antigen receptors of T cells, specifically recognize peptides presented by the major histocompatibility (MH) proteins, as peptide/MH (pMH), on the cell surface. The structure characterization of the trimolecular TR/pMH complexes is crucial to the fields of immunology, vaccination, and immunotherapy. IMGT/3Dstructure-DB is the three-dimensional (3-D) structure database of IMGT®, the international ImMunoGenetics information system®. By its creation, IMGT® marks the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. The IMGT® immunoglobulin (IG) and TR gene and allele nomenclature (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT/Collier-de-Perles (NUMEROTATION axiom) are the two founding breakthroughs of immunoinformatics. IMGT-ONTOLOGY concepts and IMGT Scientific chart rules generated from these axioms allowed IMGT® bridging genes, structures, and functions. IMGT/3Dstructure-DB contains 3-D structures of IG or antibodies, TR and MH proteins of the adaptive immune responses of jawed vertebrates (gnathostomata), IG or TR complexes with antigens (IG/Ag, TR/pMH), related proteins of the immune system of any species belonging to the IG and MH superfamilies, and fusion proteins for immune applications. The focus of this chapter is on the TR V domains and MH G domains and the contact analysis comparison in TR/pMH interactions. Standardized molecular characterization includes "IMGT pMH contact sites" for peptide and MH groove interactions and "IMGT paratopes and epitopes" for TR/pMH complexes. Data are available in the IMGT/3Dstructure database, at the IMGT Home page http://www.imgt.org .
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
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Giudicelli V, Duroux P, Rollin M, Aouinti S, Folch G, Jabado-Michaloud J, Lefranc MP, Kossida S. IMGT ® Immunoinformatics Tools for Standardized V-DOMAIN Analysis. Methods Mol Biol 2022; 2453:477-531. [PMID: 35622340 PMCID: PMC9761511 DOI: 10.1007/978-1-0716-2115-8_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The variable domains (V-DOMAIN) of the antigen receptors, immunoglobulins (IG) or antibodies and T cell receptors (TR), which specifically recognize the antigens show a huge diversity in their sequences. This diversity results from the complex mechanisms involved in the synthesis of these domains at the DNA level (rearrangements of the variable (V), diversity (D), and joining (J) genes; N-diversity; and, for the IG, somatic hypermutations). The recognition of V, D, and J as "genes" and their entry in databases mark the creation of IMGT by Marie-Paule Lefranc, and the origin of immunoinformatics in 1989. For 30 years, IMGT®, the international ImMunoGeneTics information system® http://www.imgt.org , has implemented databases and developed tools for IG and TR immunoinformatics, based on the IMGT Scientific chart rules and IMGT-ONTOLOGY concepts and axioms, and more particularly, the princeps ones: IMGT genes and alleles (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION axiom). This chapter describes the online tools for the characterization and annotation of the expressed V-DOMAIN sequences: (a) IMGT/V-QUEST analyzes in detail IG and TR rearranged nucleotide sequences, (b) IMGT/HighV-QUEST is its high throughput version, which includes a module for the identification of IMGT clonotypes and generates immunoprofiles of expressed V, D, and J genes and alleles, (c) IMGT/StatClonotype performs the pairwise comparison of IMGT/HighV-QUEST immunoprofiles, (d) IMGT/DomainGapAlign analyzes amino acid sequences and is frequently used in antibody engineering and humanization, and (e) IMGT/Collier-de-Perles provides two-dimensional (2D) graphical representations of V-DOMAIN, bridging the gap between sequences and 3D structures. These IMGT® tools are widely used in repertoire analyses of the adaptive immune responses in normal and pathological situations and in the design of engineered IG and TR for therapeutic applications.
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Affiliation(s)
- Véronique Giudicelli
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Patrice Duroux
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Maël Rollin
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Safa Aouinti
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Géraldine Folch
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Sofia Kossida
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
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Lower Somatic Mutation Levels in the λ Light-Chain Repertoires with Chronic HBV Infection. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:5525369. [PMID: 34239579 PMCID: PMC8203402 DOI: 10.1155/2021/5525369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/27/2021] [Indexed: 11/21/2022]
Abstract
To investigate the characteristics of the immunoglobulin light-chain repertoires with chronic HBV infection, the high-throughput sequencing and IMGT/HighV-QUEST were adapted to analyze the κ (IgK) and λ (IgL) light-chain repertoires from the inactive HBV carriers (IHB) and the healthy adults (HH). The comparative analysis revealed high similarity between the κ light-chain repertoires of the HBV carriers and the healthy adults. Nevertheless, the proportion of IGLV genes with ≥90% identity as the germline genes was higher in the IgL light-chain repertoire of the IHB library compared with that of HH library (74.6% vs. 69.1%). Besides, the frequency of amino acid mutations in the CDR1 regions was significantly lower in the IgL light-chain repertoire of the IHB library than that of the HH library (65.52% vs. 56.0%). These results suggested the lower somatic mutation level in the IgL repertoire of IHB library, which might indicate the biased selection of IGLV genes in the IgL repertoire with chronic HBV infection. These findings might lead to a better understanding of the characteristics of the light-chain repertoires of HBV chronically infected individuals.
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Ohlin M. Poorly Expressed Alleles of Several Human Immunoglobulin Heavy Chain Variable Genes are Common in the Human Population. Front Immunol 2021; 11:603980. [PMID: 33717051 PMCID: PMC7943739 DOI: 10.3389/fimmu.2020.603980] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/08/2020] [Indexed: 12/23/2022] Open
Abstract
Extensive diversity has been identified in the human heavy chain immunoglobulin locus, including allelic variation, gene duplication, and insertion/deletion events. Several genes have been suggested to be deleted in many haplotypes. Such findings have commonly been based on inference of the germline repertoire from data sets covering antibody heavy chain encoding transcripts. The inference process operates under conditions that may limit identification of genes transcribed at low levels. The presence of rare transcripts that would indicate the existence of poorly expressed alleles in haplotypes that otherwise appear to have deleted these genes has been assessed in the present study. Alleles IGHV1-2*05, IGHV1-3*02, IGHV4-4*01, and IGHV7-4-1*01 were all identified as being expressed from multiple haplotypes, but only at low levels, haplotypes that by inference often appeared not to express these genes at all. These genes are thus not as commonly deleted as previously thought. An assessment of the 5' untranslated region (up to and including the TATA-box), the signal peptide-encoding part of the gene, and the 3'-heptamer suggests that the alleles have no or minimal sequence difference in these regions in comparison to highly expressed alleles. This suggest that they may be able to participate in immunoglobulin gene rearrangement, transcription and translation. However, all four poorly expressed alleles harbor unusual sequence variants within their coding region that may compromise the functionality of the encoded products, thereby limiting their incorporation into the immunoglobulin repertoire. Transcripts based on IGHV7-4-1*01 that had undergone somatic hypermutation and class switch had mutated the codon that encoded the unusual residue in framework region 3 (cysteine 92; located far from the antigen binding site). This finding further supports the poor compatibility of this unusual residue in a fully functional protein product. Indications of a linkage disequilibrium were identified as IGHV1-2*05 and IGHV4-4*01 co-localized to the same haplotypes. Furthermore, transcripts of two of the poorly expressed alleles (IGHV1-3*02 and IGHV4-4*01) mostly do not encode in-frame, functional products, suggesting that these alleles might be essentially non-functional. It is proposed that the functionality status of immunoglobulin genes should also include assessment of their ability to encode functional protein products.
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Affiliation(s)
- Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden
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Hong B, Wang L, Huang C, Hong X, Liu A, Li Q, Liu Q, Su L, Wang L, Wang C, Ying T. Decrease of Clone Diversity in IgM Repertoires of HBV Chronically Infected Individuals With High Level of Viral Replication. Front Microbiol 2021; 11:615669. [PMID: 33519772 PMCID: PMC7843509 DOI: 10.3389/fmicb.2020.615669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/22/2020] [Indexed: 01/05/2023] Open
Abstract
High-throughput antibody sequencing allows in-depth insights into human antibody repertoires. To investigate the characteristics of antibody repertoires in patients with chronic HBV infection, we performed Illumina sequencing and IMGT/HighV-QUEST analysis of B lymphocytes from healthy adults and the HBV carriers with high or low level of viral replication. The comparative study revealed high levels of similarity between the IgM and IgG repertoires of the HBV carriers and the healthy adults, including the somatic mutations in V regions, the average CDR3 length, and the occurrence of junctional modifications. Nevertheless, the diversity of the unique clones decreased and some clusters of unique clones expanded in the IgM repertoire of chronic HBV carriers (CHB) compared with healthy adults (HH) and inactive HBV carriers (IHB). Such difference in clone diversity and expansion was not observed in the IgG repertoires of the three populations. More shared antibody clones were found between the IgM repertoires of IHB and HH than that found between CHB and HH (7079 clones vs. 2304 clones). Besides, the biased used IGHD genes were IGHD2-2 and IGHD3-3 in CHB library but were IGHD3-10 and IGHD3-22 in IHB and HH library. In contrast, for IgG repertories, the preferred used VDJ genes were similar in all the three populations. These results indicated that low level of serum HBV might not induce significant changes in BCR repertoires, and high level of HBV replication could have more impacts on IgM repertories than IgG repertoires. Taken together, our findings provide a better understanding of the antibody repertoires of HBV chronically infected individuals.
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Affiliation(s)
- Binbin Hong
- Central Laboratory, Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Lizhi Wang
- Traditional Chinese Medicine Department, Rehabilitation Hospital, Quanzhou, China
| | - Chunlan Huang
- Traditional Chinese Medicine Department, Rehabilitation Hospital, Quanzhou, China
| | - Xiaoju Hong
- Traditional Chinese Medicine Department, Rehabilitation Hospital, Quanzhou, China
| | - Alan Liu
- Traditional Chinese Medicine Department, Rehabilitation Hospital, Quanzhou, China
| | - Qiulan Li
- Central Laboratory, Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Qiaoling Liu
- Central Laboratory, Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Lili Su
- Central Laboratory, Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Lixing Wang
- Central Laboratory, Second Affiliated Hospital, Fujian Medical University, Quanzhou, China
| | - Chunyu Wang
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Tianlei Ying
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
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Shi B, Dong X, Ma Q, Sun S, Ma L, Yu J, Wang X, Pan J, He X, Su D, Yao X. The Usage of Human IGHJ Genes Follows a Particular Non-random Selection: The Recombination Signal Sequence May Affect the Usage of Human IGHJ Genes. Front Genet 2020; 11:524413. [PMID: 33363565 PMCID: PMC7753069 DOI: 10.3389/fgene.2020.524413] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 11/06/2020] [Indexed: 12/02/2022] Open
Abstract
The formation of the B cell receptor (BCR) heavy chain variable region is derived from the germline V(D)J gene rearrangement according to the “12/23” rule and the “beyond 12/23” rule. The usage frequency of each V(D)J gene in the peripheral BCR repertoires is related to the initial recombination, self-tolerance selection, and the clonal proliferative response. However, their specific differences and possible mechanisms are still unknown. We analyzed in-frame and out-of-frame BCR-H repertoires from human samples with normal physiological and various pathological conditions by high-throughput sequencing. Our results showed that IGHJ gene frequency follows a similar pattern which is previously known, where IGHJ4 is used at high frequency (>40%), IGHJ6/IGHJ3/IGHJ5 is used at medium frequencies (10∼20%), and IGH2/IGHJ1 is used at low frequency (<4%) under whether normal physiological or various pathological conditions. However, our analysis of the recombination signal sequences suggested that the conserved non-amer and heptamer and certain 23 bp spacer length may affect the initial IGHD-IGHJ recombination, which results in different frequencies of IGHJ genes among the initial BCR-H repertoire. Based on this “initial repertoire,” we recommend that re-evaluation and further investigation are needed when analyzing the significance and mechanism of IGHJ gene frequency in self-tolerance selection and the clonal proliferative response.
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Affiliation(s)
- Bin Shi
- Department of Laboratory Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,School of Laboratory Medicine, Zunyi Medical University, Zunyi, China
| | - Xiaoheng Dong
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Qingqing Ma
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Suhong Sun
- Department of Breast Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Long Ma
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Jiang Yu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xiaomei Wang
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Juan Pan
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xiaoyan He
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Danhua Su
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
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12
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Burrows N, Bashford-Rogers RJM, Bhute VJ, Peñalver A, Ferdinand JR, Stewart BJ, Smith JEG, Deobagkar-Lele M, Giudice G, Connor TM, Inaba A, Bergamaschi L, Smith S, Tran MGB, Petsalaki E, Lyons PA, Espeli M, Huntly BJP, Smith KGC, Cornall RJ, Clatworthy MR, Maxwell PH. Dynamic regulation of hypoxia-inducible factor-1α activity is essential for normal B cell development. Nat Immunol 2020; 21:1408-1420. [PMID: 32868930 PMCID: PMC7613233 DOI: 10.1038/s41590-020-0772-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 07/29/2020] [Indexed: 02/02/2023]
Abstract
B lymphocyte development and selection are central to adaptive immunity and self-tolerance. These processes require B cell receptor (BCR) signaling and occur in bone marrow, an environment with variable hypoxia, but whether hypoxia-inducible factor (HIF) is involved is unknown. We show that HIF activity is high in human and murine bone marrow pro-B and pre-B cells and decreases at the immature B cell stage. This stage-specific HIF suppression is required for normal B cell development because genetic activation of HIF-1α in murine B cells led to reduced repertoire diversity, decreased BCR editing and developmental arrest of immature B cells, resulting in reduced peripheral B cell numbers. HIF-1α activation lowered surface BCR, CD19 and B cell-activating factor receptor and increased expression of proapoptotic BIM. BIM deletion rescued the developmental block. Administration of a HIF activator in clinical use markedly reduced bone marrow and transitional B cells, which has therapeutic implications. Together, our work demonstrates that dynamic regulation of HIF-1α is essential for normal B cell development.
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Affiliation(s)
- Natalie Burrows
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
| | - Rachael J M Bashford-Rogers
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Nuffield Department of Medicine, Wellcome Centre for Human Genetics, Oxford, UK
| | - Vijesh J Bhute
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Ana Peñalver
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - John R Ferdinand
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Benjamin J Stewart
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Joscelin E G Smith
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Mukta Deobagkar-Lele
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Girolamo Giudice
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Thomas M Connor
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Akimichi Inaba
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Laura Bergamaschi
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Sam Smith
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Maxine G B Tran
- UCL Division of Surgery and Interventional Science, Royal Free Hospital, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Evangelia Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Paul A Lyons
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Marion Espeli
- Université de Paris, Institut de Recherche Saint Louis, EMiLy, Inserm U1160, Paris, France
| | - Brian J P Huntly
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Kenneth G C Smith
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Richard J Cornall
- Nuffield Department of Medicine, Wellcome Centre for Human Genetics, Oxford, UK
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Menna R Clatworthy
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Patrick H Maxwell
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
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13
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Norman RA, Ambrosetti F, Bonvin AMJJ, Colwell LJ, Kelm S, Kumar S, Krawczyk K. Computational approaches to therapeutic antibody design: established methods and emerging trends. Brief Bioinform 2020; 21:1549-1567. [PMID: 31626279 PMCID: PMC7947987 DOI: 10.1093/bib/bbz095] [Citation(s) in RCA: 113] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/07/2019] [Accepted: 07/05/2019] [Indexed: 12/31/2022] Open
Abstract
Antibodies are proteins that recognize the molecular surfaces of potentially noxious molecules to mount an adaptive immune response or, in the case of autoimmune diseases, molecules that are part of healthy cells and tissues. Due to their binding versatility, antibodies are currently the largest class of biotherapeutics, with five monoclonal antibodies ranked in the top 10 blockbuster drugs. Computational advances in protein modelling and design can have a tangible impact on antibody-based therapeutic development. Antibody-specific computational protocols currently benefit from an increasing volume of data provided by next generation sequencing and application to related drug modalities based on traditional antibodies, such as nanobodies. Here we present a structured overview of available databases, methods and emerging trends in computational antibody analysis and contextualize them towards the engineering of candidate antibody therapeutics.
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14
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Analysis of the Heterogeneity of CD4 +CD25 + T Cell TCR β CDR3 Repertoires in Breast Tumor Tissues, Lung Metastatic Tissues, and Spleens from 4T1 Tumor-Bearing BALB/c Mice. J Immunol Res 2020; 2020:3184190. [PMID: 33029539 PMCID: PMC7532420 DOI: 10.1155/2020/3184190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/15/2020] [Accepted: 08/24/2020] [Indexed: 02/05/2023] Open
Abstract
To study the homogeneity and heterogeneity of CD4+CD25+ T cells receptor β-chain complementarity determining region 3 (TCR β CDR3) repertoires in breast tumor tissues, lung metastatic tissues, and spleens from 4T1 tumor-bearing BALB/c mice. We used high-throughput sequencing to analyze the characteristics and changes of CD4+CD25+ TCR β CDR3 repertoires among tumor tissues, lung metastatic tissues, and spleens. The diversity of the CD4+CD25+ TCR β CDR3 repertoires in breast tumor tissue was similar to that of lung metastatic tissues and less pronounced than that of spleen tissues. Breast tumor tissues and lung metastatic tissues had a greater number of high-frequency CDR3 sequences and intermediate-frequency CDR3 sequences than those of spleens. The proportion of unique productive CDR3 sequences in breast tumor tissues and lung metastatic tissues was significantly greater than that in the spleens. The diversity and frequency of the CDR3 repertoires remained homogeneous in breast tumors and lung metastatic tissues and showed great heterogeneity in the spleens, which suggested that the breast tissues and lung metastatic tissues have characteristics of CD4+CD25+ T cells that relate to the tumor microenvironment. However, the number and characteristics of overlapping CDR3 sequences suggested that there were some different CD4+CD25+ T cells in tumors and in the circulatory immune system. The study may be used to further explore the characteristics of the CDR3 repertoires and determine the source of the CD4+CD25+ T cells in the breast cancer microenvironment.
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15
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Lefranc MP, Lefranc G. Immunoglobulins or Antibodies: IMGT ® Bridging Genes, Structures and Functions. Biomedicines 2020; 8:E319. [PMID: 32878258 PMCID: PMC7555362 DOI: 10.3390/biomedicines8090319] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/18/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics® information system founded in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science at the interface between immunogenetics and bioinformatics. For the first time, the immunoglobulin (IG) or antibody and T cell receptor (TR) genes were officially recognized as 'genes' as well as were conventional genes. This major breakthrough has allowed the entry, in genomic databases, of the IG and TR variable (V), diversity (D) and joining (J) genes and alleles of Homo sapiens and of other jawed vertebrate species, based on the CLASSIFICATION axiom. The second major breakthrough has been the IMGT unique numbering and the IMGT Collier de Perles for the V and constant (C) domains of the IG and TR and other proteins of the IG superfamily (IgSF), based on the NUMEROTATION axiom. IMGT-ONTOLOGY axioms and concepts bridge genes, sequences, structures and functions, between biological and computational spheres in the IMGT® system (Web resources, databases and tools). They provide the IMGT Scientific chart rules to identify, to describe and to analyse the IG complex molecular data, the huge diversity of repertoires, the genetic (alleles, allotypes, CNV) polymorphisms, the IG dual function (paratope/epitope, effector properties), the antibody humanization and engineering.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
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16
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Kanduc D. Hydrophobicity and the Physico-Chemical Basis of Immunotolerance. Pathobiology 2020; 87:268-276. [PMID: 32726789 DOI: 10.1159/000508903] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 05/25/2020] [Indexed: 11/19/2022] Open
Abstract
This study analyzes the primary electrostatic interaction between the membrane-bound B-cell receptor and antigen peptide determinants, and identifies peptide frequency and hydrophobicity as the main factors that govern and shape immunotolerance versus immunoreactivity.
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Affiliation(s)
- Darja Kanduc
- Department of Biosciences, Biotechnologies, and Biopharmaceutics, University of Bari, Bari, Italy,
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17
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Hacisuleyman A, Erman B. ModiBodies: A computational method for modifying nanobodies in nanobody-antigen complexes to improve binding affinity and specificity. J Biol Phys 2020; 46:189-208. [PMID: 32418062 DOI: 10.1007/s10867-020-09548-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 04/28/2020] [Indexed: 11/26/2022] Open
Abstract
Nanobodies are special derivatives of antibodies, which consist of single domain fragments. They have become of considerable interest as next-generation biotechnological tools for antigen recognition. They can be easily engineered due to their high stability and compact size. Nanobodies have three complementarity-determining regions, CDRs, which are enlarged to provide a similar binding surface to that of human immunoglobulins. Here, we propose a benchmark testing algorithm that uses 3D structures of already existing protein-nanobody complexes as initial structures followed by successive mutations on the CDR domains. The aim is to find optimum binding amino acids for hypervariable residues of CDRs. We use molecular dynamics simulations to compare the binding energies of the resulting complexes with that of the known complex and accept those that are improved by mutations. We use the MDM4-VH9 complex, (PDB id 2VYR), fructose-bisphosphate aldolase from Trypanosoma congolense (PDB id 5O0W) and human lysozyme (PDB id 4I0C) as benchmark complexes. By using this algorithm, better binding nanobodies can be generated in a short amount of time. We suggest that this method can complement existing immune and synthetic library-based methods, without a need for extensive experimentation or large libraries.
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Affiliation(s)
- Aysima Hacisuleyman
- Department of Chemical and Biological Engineering, Koc University, Istanbul, Turkey.
| | - Burak Erman
- Department of Chemical and Biological Engineering, Koc University, Istanbul, Turkey
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18
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Ciccarese S, Burger PA, Ciani E, Castelli V, Linguiti G, Plasil M, Massari S, Horin P, Antonacci R. The Camel Adaptive Immune Receptors Repertoire as a Singular Example of Structural and Functional Genomics. Front Genet 2019; 10:997. [PMID: 31681428 PMCID: PMC6812646 DOI: 10.3389/fgene.2019.00997] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 09/18/2019] [Indexed: 01/08/2023] Open
Abstract
The adaptive immune receptors repertoire is highly plastic, with its ability to produce antigen-binding molecules and select those with high affinity for their antigen. Species have developed diverse genetic and structural strategies to create their respective repertoires required for their survival in the different environments. Camelids, until now, considered as a case of evolutionary innovation because of their only heavy-chain antibodies, represent a new mammalian model particularly useful for understanding the role of diversity in the immune system function. Here, we review the structural and functional characteristics and the current status of the genomic organization of camel immunoglobulins (IG) or antibodies, α/ß and γ/δ T cell receptors (TR), and major histocompatibility complex (MHC). In camelid humoral response, in addition to the conventional antibodies, there are IG with “only-heavy-chain” (no light chain, and two identical heavy gamma chains lacking CH1 and with a VH domain designated as VHH). The unique features of these VHH offer advantages in biotechnology and for clinical applications. The TRG and TRD rearranged variable domains of Camelus dromedarius (Arabian camel) display somatic hypermutation (SHM), increasing the intrinsic structural stability in the γ/δ heterodimer and influencing the affinity maturation to a given antigen similar to immunoglobulin genes. The SHM increases the dromedary γ/δ repertoire diversity. In Camelus genus, the general structural organization of the TRB locus is similar to that of the other artiodactyl species, with a pool of TRBV genes positioned at the 5’ end of three in tandem D-J-C clusters, followed by a single TRBV gene with an inverted transcriptional orientation located at the 3’ end. At the difference of TRG and TRD, the diversity of the TRB variable domains is not shaped by SHM and depends from the classical combinatorial and junctional diversity. The MHC locus is located on chromosome 20 in Camelus dromedarius. Cytogenetic and comparative whole genome analyses revealed the order of the three major regions “Centromere-ClassII-ClassIII-ClassI”. Unexpectedly low extent of polymorphisms and haplotypes was observed in all Old World camels despite different geographic origins.
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Affiliation(s)
| | - Pamela A Burger
- Research Institute of Wildlife Ecology, Vetmeduni Vienna, Vienna, Austria
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari "Aldo Moro," Bari, Italy
| | - Vito Castelli
- Department of Biology, University of Bari "Aldo Moro," Bari, Italy
| | | | - Martin Plasil
- Department of Animal Genetics, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences, Brno, Czechia.,CEITEC-VFU, University of Veterinary and Pharmaceutical Sciences, RG Animal Immunogenomics, Brno, Czechia
| | - Serafina Massari
- Department of Biological and Environmental Science and Technologies, University of Salento, Lecce, Italy
| | - Petr Horin
- Department of Animal Genetics, Faculty of Veterinary Medicine, University of Veterinary and Pharmaceutical Sciences, Brno, Czechia.,CEITEC-VFU, University of Veterinary and Pharmaceutical Sciences, RG Animal Immunogenomics, Brno, Czechia
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19
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Analysis of the B cell receptor repertoire in six immune-mediated diseases. Nature 2019; 574:122-126. [PMID: 31554970 PMCID: PMC6795535 DOI: 10.1038/s41586-019-1595-3] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 08/21/2019] [Indexed: 01/22/2023]
Abstract
B cells are important in the pathogenesis of many, and perhaps all, immune-mediated diseases (IMDs). Each B cell expresses a single B cell receptor (BCR)1, with the diverse range of BCRs expressed by an individual’s total B cell population being termed the “BCR repertoire”. Our understanding of the BCR repertoire in the context of IMDs is incomplete, and defining this could reveal new insights into pathogenesis and therapy. We therefore compared the BCR repertoire in systemic lupus erythematosus (SLE), ANCA-associated vasculitis (AAV), Crohn’s disease (CD), Behçet’s disease (BD), eosinophilic granulomatosis with polyangiitis (EGPA) and IgA vasculitis (IgAV), analysing BCR clonality, and immunoglobulin heavy chain gene (IGHV) and, in particular, isotype usage. An IgA-dominated increased clonality in SLE and CD, together with skewed IGHV gene usage in these and other diseases, suggested a microbial contribution to pathogenesis. Different immunosuppressive treatment had specific and distinct impacts on the repertoire; B cells persisting after rituximab were predominately isotype-switched and clonally expanded, the inverse of those persisting after mycophenolate mofetil. A comparative analysis of the BCR repertoire in immune-mediated disease reveals a complex B cell architecture, providing a platform for understanding pathological mechanisms and designing treatment strategies.
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20
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Young RM, Phelan JD, Wilson WH, Staudt LM. Pathogenic B-cell receptor signaling in lymphoid malignancies: New insights to improve treatment. Immunol Rev 2019; 291:190-213. [PMID: 31402495 PMCID: PMC6693651 DOI: 10.1111/imr.12792] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 05/30/2019] [Indexed: 12/12/2022]
Abstract
Signals emanating from the B-cell receptor (BCR) promote proliferation and survival in diverse forms of B-cell lymphoma. Precision medicine strategies targeting the BCR pathway have been generally effective in treating lymphoma, but often fail to produce durable responses in diffuse large B-cell lymphoma (DLBCL), a common and aggressive cancer. New insights into DLBCL biology garnered from genomic analyses and functional proteogenomic studies have identified novel modes of BCR signaling in this disease. Herein, we describe the distinct roles of antigen-dependent and antigen-independent BCR signaling in different subtypes of DLBCL. We highlight mechanisms by which the BCR cooperates with TLR9 and mutant isoforms of MYD88 to drive sustained NF-κB activity in the activated B-cell-like (ABC) subtype of DLBCL. Finally, we discuss progress in detecting and targeting oncogenic BCR signaling to improve the survival of patients with lymphoma.
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MESH Headings
- Animals
- Autoantigens/immunology
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/metabolism
- Germinal Center/immunology
- Germinal Center/metabolism
- Germinal Center/pathology
- Humans
- Leukemia, Lymphoid/diagnosis
- Leukemia, Lymphoid/etiology
- Leukemia, Lymphoid/metabolism
- Leukemia, Lymphoid/therapy
- Lymphoma/diagnosis
- Lymphoma/etiology
- Lymphoma/metabolism
- Lymphoma/therapy
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Signal Transduction
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Affiliation(s)
- Ryan M. Young
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD. 20892
| | - James D. Phelan
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD. 20892
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD. 20892
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD. 20892
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21
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Lefranc MP, Lefranc G. IMGT ® and 30 Years of Immunoinformatics Insight in Antibody V and C Domain Structure and Function. Antibodies (Basel) 2019; 8:E29. [PMID: 31544835 PMCID: PMC6640715 DOI: 10.3390/antib8020029] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 03/29/2019] [Accepted: 04/09/2019] [Indexed: 12/24/2022] Open
Abstract
At the 10th Human Genome Mapping (HGM10) Workshop, in New Haven, for the first time, immunoglobulin (IG) or antibody and T cell receptor (TR) variable (V), diversity (D), joining (J), and constant (C) genes were officially recognized as 'genes', as were the conventional genes. Under these HGM auspices, IMGT®, the international ImMunoGeneTics information system®, was created in June 1989 at Montpellier (University of Montpellier and CNRS). The creation of IMGT® marked the birth of immunoinformatics, a new science, at the interface between immunogenetics and bioinformatics. The accuracy and the consistency between genes and alleles, sequences, and three-dimensional (3D) structures are based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts: IMGT standardized keywords (IDENTIFICATION), IMGT gene and allele nomenclature (CLASSIFICATION), IMGT standardized labels (DESCRIPTION), IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION). These concepts provide IMGT® immunoinformatics insights for antibody V and C domain structure and function, used for the standardized description in IMGT® web resources, databases and tools, immune repertoires analysis, single cell and/or high-throughput sequencing (HTS, NGS), antibody humanization, and antibody engineering in relation with effector properties.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
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22
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Chowdhury R, Allan MF, Maranas CD. OptMAVEn-2.0: De novo Design of Variable Antibody Regions against Targeted Antigen Epitopes. Antibodies (Basel) 2018; 7:antib7030023. [PMID: 31544875 PMCID: PMC6640672 DOI: 10.3390/antib7030023] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 06/28/2018] [Accepted: 06/29/2018] [Indexed: 01/03/2023] Open
Abstract
Monoclonal antibodies are becoming increasingly important therapeutic agents for the treatment of cancers, infectious diseases, and autoimmune disorders. However, laboratory-based methods of developing therapeutic monoclonal antibodies (e.g., immunized mice, hybridomas, and phage display) are time-consuming and are often unable to target a specific antigen epitope or reach (sub)nanomolar levels of affinity. To this end, we developed Optimal Method for Antibody Variable region Engineering (OptMAVEn) for de novo design of humanized monoclonal antibody variable regions targeting a specific antigen epitope. In this work, we introduce OptMAVEn-2.0, which improves upon OptMAVEn by (1) reducing computational resource requirements without compromising design quality; (2) clustering the designs to better identify high-affinity antibodies; and (3) eliminating intra-antibody steric clashes using an updated set of clashing parts from the Modular Antibody Parts (MAPs) database. Benchmarking on a set of 10 antigens revealed that OptMAVEn-2.0 uses an average of 74% less CPU time and 84% less disk storage relative to OptMAVEn. Testing on 54 additional antigens revealed that computational resource requirements of OptMAVEn-2.0 scale only sub-linearly with respect to antigen size. OptMAVEn-2.0 was used to design and rank variable antibody fragments targeting five epitopes of Zika envelope protein and three of hen egg white lysozyme. Among the top five ranked designs for each epitope, recovery of native residue identities is typically 45–65%. MD simulations of two designs targeting Zika suggest that at least one would bind with high affinity. OptMAVEn-2.0 can be downloaded from our GitHub repository and webpage as (links in Summary and Discussion section).
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Affiliation(s)
- Ratul Chowdhury
- Department of Chemical Engineering, The Pennsylvania State University, State College, PA 16802, USA.
| | - Matthew F Allan
- Department of Chemical Engineering, The Pennsylvania State University, State College, PA 16802, USA.
- Computational and Systems Biology Initiative, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Costas D Maranas
- Department of Chemical Engineering, The Pennsylvania State University, State College, PA 16802, USA.
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23
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Persson H, Kirik U, Thörnqvist L, Greiff L, Levander F, Ohlin M. In Vitro Evolution of Antibodies Inspired by In Vivo Evolution. Front Immunol 2018; 9:1391. [PMID: 29977238 PMCID: PMC6021498 DOI: 10.3389/fimmu.2018.01391] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 06/05/2018] [Indexed: 01/16/2023] Open
Abstract
In vitro generation of antibodies often requires variable domain sequence evolution to adapt the protein in terms of affinity, specificity, or developability. Such antibodies, including those that are of interest for clinical development, may have their origins in a diversity of immunoglobulin germline genes. Others and we have previously shown that antibodies of different origins tend to evolve along different, preferred trajectories. Apart from substitutions within the complementary determining regions, evolution may also, in a germline gene-origin-defined manner, be focused to residues in the framework regions, and even to residues within the protein core, in many instances at a substantial distance from the antibody’s antigen-binding site. Examples of such germline origin-defined patterns of evolution are described. We propose that germline gene-preferred substitution patterns offer attractive alternatives that should be considered in efforts to evolve antibodies intended for therapeutic use with respect to appropriate affinity, specificity, and product developability. We also hypothesize that such germline gene-origin-defined in vitro evolution hold potential to result in products with limited immunogenicity, as similarly evolved antibodies will be parts of conventional, in vivo-generated antibody responses and thus are likely to have been seen by the immune system in the past.
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Affiliation(s)
- Helena Persson
- Drug Discovery and Development Platform, Science for Life Laboratory, Stockholm, Sweden.,School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden
| | - Ufuk Kirik
- Department of Immunotechnology, Lund University, Lund, Sweden
| | | | - Lennart Greiff
- Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Otorhinolaryngology, Head & Neck Surgery, Skåne University Hospital, Lund, Sweden
| | | | - Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden.,Human Antibody Therapeutics, Drug Discovery and Development Platform, Science for Life Laboratory, Lund University, Lund, Sweden
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24
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Thörnqvist L, Ohlin M. Data on the nucleotide composition of the first codons encoding the complementary determining region 3 (CDR3) in immunoglobulin heavy chains. Data Brief 2018; 19:337-352. [PMID: 29892656 PMCID: PMC5992955 DOI: 10.1016/j.dib.2018.04.125] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 04/30/2018] [Indexed: 01/13/2023] Open
Abstract
The highly variable complementary determining region 3 (CDR3) of antibodies is generated through recombination of immunoglobulin heavy chain variable (IGHV), diversity, and joining genes. The codons encoding the first residues of CDR3 may be derived directly from the IGHV germline gene but they may also be generated as part of the rearrangement process. Data of the nucleotide composition of these codons of rearranged genes, an indicator of the degree of contribution of the IGHV gene to CDR3 diversity, are presented in this article. Analyzed data are presented for two unrelated sets of raw sequence data. The raw data sets consisted of sequences of antibody heavy chain-encoding transcripts of six allergic subjects (European Nucleotide Archive accession number PRJEB18926), and paired antibody heavy and light chain variable region-encoding transcripts of memory B cells of three subjects (European Nucleotide Archive accession numbers SRX709625, SRX709626, and SRX709627). The nucleotide compositions of the corresponding 5′-ends of sequences encoding the CDR3 are presented for transcripts with an origin in 47 different IGHV alleles. These data have been used (Thörnqvist and Ohlin, 2018) [1] to demonstrate the extent of incorporation of the 3′ most bases of IGHV germline genes into rearranged immunoglobulin encoding sequences, and the extent whereby any difference in incorporation affects the specificity of inference of the 3′-end of IGHV genes from immunoglobulin-encoding transcripts. They have also been used to assess the effect of observed gene differences on the composition of the ascending strand of CDR3 associated to antibodies with an origin in different IGHV genes (Thörnqvist and Ohlin, 2018) [1].
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Affiliation(s)
| | - Mats Ohlin
- Dept. of Immunotechnology, Lund University, Lund, Sweden
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25
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Schwartz JC, Philp RL, Bickhart DM, Smith TPL, Hammond JA. The antibody loci of the domestic goat (Capra hircus). Immunogenetics 2018; 70:317-326. [PMID: 29063126 PMCID: PMC5899754 DOI: 10.1007/s00251-017-1033-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 09/29/2017] [Indexed: 12/11/2022]
Abstract
The domestic goat (Capra hircus) is an important ruminant species both as a source of antibody-based reagents for research and biomedical applications and as an economically important animal for agriculture, particularly for developing nations that maintain most of the global goat population. Characterization of the loci encoding the goat immune repertoire would be highly beneficial for both vaccine and immune reagent development. However, in goat and other species whose reference genomes were generated using short-read sequencing technologies, the immune loci are poorly assembled as a result of their repetitive nature. Our recent construction of a long-read goat genome assembly (ARS1) has facilitated characterization of all three antibody loci with high confidence and comparative analysis to cattle. We observed broad similarity of goat and cattle antibody-encoding loci but with notable differences that likely influence formation of the functional antibody repertoire. The goat heavy-chain locus is restricted to only four functional and nearly identical IGHV genes, in contrast to the ten observed in cattle. Repertoire analysis indicates that light-chain usage is more balanced in goats, with greater representation of kappa light chains (~ 20-30%) compared to that in cattle (~ 5%). The present study represents the first characterization of the goat antibody loci and will help inform future investigations of their antibody responses to disease and vaccination.
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Affiliation(s)
| | - Rebecca L Philp
- The Pirbright Institute, Pirbright, Surrey, GU24 0NF, UK.,Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Derek M Bickhart
- Cell Wall Biology and Utilization Research, USDA-ARS, Madison, WI, 53706, USA
| | | | - John A Hammond
- The Pirbright Institute, Pirbright, Surrey, GU24 0NF, UK.
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26
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Compositional characteristics of human peripheral TRBV pseudogene rearrangements. Sci Rep 2018; 8:5926. [PMID: 29651132 PMCID: PMC5897323 DOI: 10.1038/s41598-018-24367-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 04/03/2018] [Indexed: 11/08/2022] Open
Abstract
The diversity of the T cell receptor (TCR) complementarity determining region 3 (CDR3) repertoire is the result of random combinations, insertions and deletions during recombination of the germline V, D and J gene fragments. During evolution, some human TCR beta chain variable (TRBV) pseudogenes have been retained. Many previous studies have focused on functional TRBV genes, while little attention has been given to TRBV pseudogenes. To describe the compositional characteristics of TRBV pseudogene rearrangements, we compared and analysed TRBV pseudogenes, TRBV open reading frames (ORFs) and functional TRBV genes via high-throughput sequencing of DNA obtained from the peripheral blood of 4 healthy volunteers and 4 patients. Our results revealed several differences in J and D gene usage. The V deletion distribution profile of the pseudogenes was significantly different from that of the ORFs and functional genes. In addition, arginine, lysine and cysteine were more frequently used in putative CDR3 pseudogene rearrangements, while functional rearrangements used more leucine. This study presents a comprehensive description of the compositional characteristics of peripheral TRBV pseudogene rearrangements, which will provide a reference for further research on TRBV pseudogenes.
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27
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Hong B, Wu Y, Li W, Wang X, Wen Y, Jiang S, Dimitrov DS, Ying T. In-Depth Analysis of Human Neonatal and Adult IgM Antibody Repertoires. Front Immunol 2018; 9:128. [PMID: 29459861 PMCID: PMC5807330 DOI: 10.3389/fimmu.2018.00128] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 01/16/2018] [Indexed: 11/25/2022] Open
Abstract
Although high-throughput sequencing and associated bioinformatics technologies have enabled the in-depth, sequence-based characterization of human immune repertoires, only a few studies on a relatively small number of sequences explored the characteristics of antibody repertoires in neonates, with contradictory conclusions. To gain a more comprehensive understanding of the human IgM antibody repertoire, we performed Illumina sequencing and IMGT/HighV-QUEST analysis of IgM heavy chain repertoire of the B lymphocytes from the cord blood (CB) of neonates, as well as the repertoire from peripheral blood of healthy human adults (HH). The comparative study revealed unexpectedly high levels of similarity between the neonatal and adult repertoires. In both repertoires, the VDJ gene usage showed no significant difference, and the most frequently used VDJ gene was IGHV4-59, IGHD3-10, and IGHJ3. The average amino acid (aa) length of CDR1 (CB: 8.5, HH: 8.4) and CDR2 (CB: 7.6, HH: 7.5), as well as the aa composition and the average hydrophobicity of the CDR3 demonstrated no significant difference between the two repertories. However, the average aa length of CDR3 was longer in the HH repertoire than the CB repertoire (CB: 14.5, HH: 15.5). Besides, the frequencies of aa mutations in CDR1 (CB: 19.33%, HH: 25.84%) and CDR2 (CB: 9.26%, HH: 17.82%) were higher in the HH repertoire compared to the CB repertoire. Interestingly, the most prominent difference between the two repertoires was the occurrence of N2 addition (CB: 64.87%, HH: 85.69%), a process that occurs during V-D-J recombination for introducing random nucleotide additions between D- and J-gene segments. The antibody repertoire of healthy adults was more diverse than that of neonates largely due to the higher occurrence of N2 addition. These findings may lead to a better understanding of antibody development and evolution pathways and may have potential practical value for facilitating the generation of more effective antibody therapeutics and vaccines.
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Affiliation(s)
- Binbin Hong
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yanling Wu
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Wei Li
- Protein Interactions Section, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, United States
| | - Xun Wang
- Shanghai Blood Center, WHO Collaborating Center for Blood Transfusion Services, Shanghai, China
| | - Yumei Wen
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Shibo Jiang
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Dimiter S Dimitrov
- Protein Interactions Section, Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, United States
| | - Tianlei Ying
- Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, China
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28
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Abstract
IMGT®, the international ImMunoGeneTics information system® ( http://www.imgt.org ), was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR). The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. Standardized sequence and structure analysis of antibody using IMGT® databases and tools allow one to bridge, for the first time, the gap between antibody sequences and three-dimensional (3D) structures. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY concepts of classification (IMGT gene and allele nomenclature), description (IMGT standardized labels), and numerotation (IMGT unique numbering and IMGT Collier de Perles). IMGT® is acknowledged as the global reference for immunogenetics and immunoinformatics, and its standards are particularly useful for antibody engineering and humanization. IMGT® databases for antibody nucleotide sequences and genes include IMGT/LIGM-DB and IMGT/GENE-DB, respectively, and nucleotide sequence analysis is performed by the IMGT/V-QUEST and IMGT/JunctionAnalysis tools and for NGS by IMGT/HighV-QUEST. In this chapter, we focus on IMGT® databases and tools for amino acid sequences, two-dimensional (2D) and three-dimensional (3D) structures: the IMGT/DomainGapAlign and IMGT Collier de Perles tools and the IMGT/2Dstructure-DB and IMGT/3Dstructure-DB database. IMGT/mAb-DB provides the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), and composite proteins for clinical applications (CPCA) and related proteins of interest (RPI) and links to the proposed and recommended lists of the World Health Organization International Nonproprietary Name (WHO INN) programme, to IMGT/2Dstructure-DB for amino acid sequences, and to IMGT/3Dstructure-DB and its associated tools (IMGT/StructuralQuery, IMGT/DomainSuperimpose) for crystallized antibodies.
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29
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Kirik U, Persson H, Levander F, Greiff L, Ohlin M. Antibody Heavy Chain Variable Domains of Different Germline Gene Origins Diversify through Different Paths. Front Immunol 2017; 8:1433. [PMID: 29180996 PMCID: PMC5694033 DOI: 10.3389/fimmu.2017.01433] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 10/16/2017] [Indexed: 02/04/2023] Open
Abstract
B cells produce antibodies, key effector molecules in health and disease. They mature their properties, including their affinity for antigen, through hypermutation events; processes that involve, e.g., base substitution, codon insertion and deletion, often in association with an isotype switch. Investigations of antibody evolution define modes whereby particular antibody responses are able to form, and such studies provide insight important for instance for development of efficient vaccines. Antibody evolution is also used in vitro for the design of antibodies with improved properties. To better understand the basic concepts of antibody evolution, we analyzed the mutational paths, both in terms of amino acid substitution and insertions and deletions, taken by antibodies of the IgG isotype. The analysis focused on the evolution of the heavy chain variable domain of sets of antibodies, each with an origin in 1 of 11 different germline genes representing six human heavy chain germline gene subgroups. Investigated genes were isolated from cells of human bone marrow, a major site of antibody production, and characterized by next-generation sequencing and an in-house bioinformatics pipeline. Apart from substitutions within the complementarity determining regions, multiple framework residues including those in protein cores were targets of extensive diversification. Diversity, both in terms of substitutions, and insertions and deletions, in antibodies is focused to different positions in the sequence in a germline gene-unique manner. Altogether, our findings create a framework for understanding patterns of evolution of antibodies from defined germline genes.
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Affiliation(s)
- Ufuk Kirik
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Helena Persson
- Science for Life Laboratory, Drug Discovery and Development Platform, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Levander
- Department of Immunotechnology, Lund University, Lund, Sweden.,National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Immunotechnology, Lund University, Lund, Sweden
| | - Lennart Greiff
- Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Otorhinolaryngology, Head and Neck Surgery, Skåne University Hospital, Lund, Sweden
| | - Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden.,Science for Life Laboratory, Drug Discovery and Development Platform, Human Antibody Therapeutics, Lund University, Lund, Sweden.,U-READ, Lund School of Technology, Lund University, Lund, Sweden
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30
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Horton SJ, Giotopoulos G, Yun H, Vohra S, Sheppard O, Bashford-Rogers R, Rashid M, Clipson A, Chan WI, Sasca D, Yiangou L, Osaki H, Basheer F, Gallipoli P, Burrows N, Erdem A, Sybirna A, Foerster S, Zhao W, Sustic T, Petrunkina Harrison A, Laurenti E, Okosun J, Hodson D, Wright P, Smith KG, Maxwell P, Fitzgibbon J, Du MQ, Adams DJ, Huntly BJP. Early loss of Crebbp confers malignant stem cell properties on lymphoid progenitors. Nat Cell Biol 2017; 19:1093-1104. [PMID: 28825697 PMCID: PMC5633079 DOI: 10.1038/ncb3597] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 07/20/2017] [Indexed: 12/13/2022]
Abstract
Loss-of-function mutations of cyclic-AMP response element binding protein, binding protein (CREBBP) are prevalent in lymphoid malignancies. However, the tumour suppressor functions of CREBBP remain unclear. We demonstrate that loss of Crebbp in murine haematopoietic stem and progenitor cells (HSPCs) leads to increased development of B-cell lymphomas. This is preceded by accumulation of hyperproliferative lymphoid progenitors with a defective DNA damage response (DDR) due to a failure to acetylate p53. We identify a premalignant lymphoma stem cell population with decreased H3K27ac, which undergoes transcriptional and genetic evolution due to the altered DDR, resulting in lymphomagenesis. Importantly, when Crebbp is lost later in lymphopoiesis, cellular abnormalities are lost and tumour generation is attenuated. We also document that CREBBP mutations may occur in HSPCs from patients with CREBBP-mutated lymphoma. These data suggest that earlier loss of Crebbp is advantageous for lymphoid transformation and inform the cellular origins and subsequent evolution of lymphoid malignancies.
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Affiliation(s)
- Sarah J Horton
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - George Giotopoulos
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Haiyang Yun
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Shabana Vohra
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Olivia Sheppard
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Rachael Bashford-Rogers
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Mamunur Rashid
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Alexandra Clipson
- Department of Pathology, University of Cambridge, Hills Road, Cambridge CB2 0QQ, UK
| | - Wai-In Chan
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Daniel Sasca
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Loukia Yiangou
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Hikari Osaki
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Faisal Basheer
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Paolo Gallipoli
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Natalie Burrows
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Ayşegül Erdem
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | | | - Sarah Foerster
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Wanfeng Zhao
- Department of Pathology, Cambridge University Hospitals, Hills Road, Cambridge CB2 0QQ, UK
| | - Tonci Sustic
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | | | - Elisa Laurenti
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Jessica Okosun
- Barts Cancer Institute, Charterhouse Square, London EC1M 6BQ, UK
| | - Daniel Hodson
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Penny Wright
- Department of Pathology, Cambridge University Hospitals, Hills Road, Cambridge CB2 0QQ, UK
| | - Ken G Smith
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Patrick Maxwell
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
| | - Jude Fitzgibbon
- Barts Cancer Institute, Charterhouse Square, London EC1M 6BQ, UK
| | - Ming Q Du
- Department of Pathology, University of Cambridge, Hills Road, Cambridge CB2 0QQ, UK
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Brian J P Huntly
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK
- Department of Haematology, Cambridge University Hospitals, Hills Road, Cambridge CB2 0QQ, UK
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31
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Kirik U, Greiff L, Levander F, Ohlin M. Data on haplotype-supported immunoglobulin germline gene inference. Data Brief 2017; 13:620-640. [PMID: 28725665 PMCID: PMC5502703 DOI: 10.1016/j.dib.2017.06.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 05/26/2017] [Accepted: 06/19/2017] [Indexed: 01/03/2023] Open
Abstract
Data that defines IGHV (immunoglobulin heavy chain variable) germline gene inference using sequences of IgM-encoding transcriptomes obtained by Illumina MiSeq sequencing technology are described. Such inference is used to establish personalized germline gene sets for in-depth antibody repertoire studies and to detect new antibody germline genes from widely available immunoglobulin-encoding transcriptome data sets. Specifically, the data has been used to validate (Parallel antibody germline gene and haplotype analyses support the validity of immunoglobulin germline gene inference and discovery (DOI: 10.1016/j.molimm.2017.03.012) (Kirik et al., 2017) [1]) the inference process. This was accomplished based on analysis of the inferred germline genes’ association to the donors’ different haplotypes as defined by their different, expressed IGHJ alleles and/or IGHD genes/alleles. The data is important for development of validated germline gene databases containing entries inferred from immunoglobulin-encoding transcriptome sequencing data sets, and for generation of valid, personalized antibody germline gene repertoires.
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Affiliation(s)
- Ufuk Kirik
- Dept. of Immunotechnology, Lund University, Lund, Sweden
| | - Lennart Greiff
- Dept. of Clinical Sciences, Division of Otorhinolaryngology, Head and Neck Cancer, Lund University, Sweden.,Dept. of Otorhinolaryngology, Skåne University Hospital, Lund, Sweden
| | | | - Mats Ohlin
- Dept. of Immunotechnology, Lund University, Lund, Sweden
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32
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Giudicelli V, Duroux P, Kossida S, Lefranc MP. IG and TR single chain fragment variable (scFv) sequence analysis: a new advanced functionality of IMGT/V-QUEST and IMGT/HighV-QUEST. BMC Immunol 2017; 18:35. [PMID: 28651553 PMCID: PMC5485737 DOI: 10.1186/s12865-017-0218-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 06/16/2017] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND IMGT®, the international ImMunoGeneTics information system® ( http://www.imgt.org ), was created in 1989 in Montpellier, France (CNRS and Montpellier University) to manage the huge and complex diversity of the antigen receptors, and is at the origin of immunoinformatics, a science at the interface between immunogenetics and bioinformatics. Immunoglobulins (IG) or antibodies and T cell receptors (TR) are managed and described in the IMGT® databases and tools at the level of receptor, chain and domain. The analysis of the IG and TR variable (V) domain rearranged nucleotide sequences is performed by IMGT/V-QUEST (online since 1997, 50 sequences per batch) and, for next generation sequencing (NGS), by IMGT/HighV-QUEST, the high throughput version of IMGT/V-QUEST (portal begun in 2010, 500,000 sequences per batch). In vitro combinatorial libraries of engineered antibody single chain Fragment variable (scFv) which mimic the in vivo natural diversity of the immune adaptive responses are extensively screened for the discovery of novel antigen binding specificities. However the analysis of NGS full length scFv (~850 bp) represents a challenge as they contain two V domains connected by a linker and there is no tool for the analysis of two V domains in a single chain. METHODS The functionality "Analyis of single chain Fragment variable (scFv)" has been implemented in IMGT/V-QUEST and, for NGS, in IMGT/HighV-QUEST for the analysis of the two V domains of IG and TR scFv. It proceeds in five steps: search for a first closest V-REGION, full characterization of the first V-(D)-J-REGION, then search for a second V-REGION and full characterization of the second V-(D)-J-REGION, and finally linker delimitation. RESULTS For each sequence or NGS read, positions of the 5'V-DOMAIN, linker and 3'V-DOMAIN in the scFv are provided in the 'V-orientated' sense. Each V-DOMAIN is fully characterized (gene identification, sequence description, junction analysis, characterization of mutations and amino changes). The functionality is generic and can analyse any IG or TR single chain nucleotide sequence containing two V domains, provided that the corresponding species IMGT reference directory is available. CONCLUSION The "Analysis of single chain Fragment variable (scFv)" implemented in IMGT/V-QUEST and, for NGS, in IMGT/HighV-QUEST provides the identification and full characterization of the two V domains of full-length scFv (~850 bp) nucleotide sequences from combinatorial libraries. The analysis can also be performed on concatenated paired chains of expressed antigen receptor IG or TR repertoires.
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Affiliation(s)
- Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Patrice Duroux
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Sofia Kossida
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
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Ma L, Yang L, Bin Shi, He X, Peng A, Li Y, Zhang T, Sun S, Ma R, Yao X. Analyzing the CDR3 Repertoire with respect to TCR-Beta Chain V-D-J and V-J Rearrangements in Peripheral T Cells using HTS. Sci Rep 2016; 6:29544. [PMID: 27404392 PMCID: PMC4941575 DOI: 10.1038/srep29544] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Accepted: 06/20/2016] [Indexed: 11/09/2022] Open
Abstract
V-D-J rearrangement of the TCR-beta chain follows the 12/23 rule and the beyond 12/23 restriction. Currently, the proportion and characteristics of TCR-beta chain V-J rearrangement is unclear. We used high-throughput sequencing to compare and analyze TCR-beta chain V-J rearrangement and V-D-J rearrangement in the CDR3 repertoires of T cells from the PBMCs of six volunteers and six BALB/c mice. The results showed that the percentage of V-J rearrangement of the volunteers was approximately 0.7%, whereas that of the mice was 2.2%. The clonality of mice V-J rearrangement was significantly reduced compared with the V-D-J rearrangement, whereas the clonality of human V-J rearrangement was slightly reduced compared with the V-D-J rearrangement. V-J rearrangement in CDR3 involved the significant usage of N, S, F and L, whereas V-D-J rearrangement in CDR3 involved the significant usage of R and G. The levels of V deletion and J deletion in V-J rearrangement were significantly reduced compared with V-D-J rearrangement. TRBD and TRBJ usage in V-J rearrangement differed from that of V-D-J rearrangement, including dominant usage of TRBV and TRBJ and their pairing. Taken together, these results provide new ideas and technology for studies of V-D-J rearrangement and V-J rearrangement in the CDR3 repertoire.
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Affiliation(s)
- Long Ma
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Liwen Yang
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Bin Shi
- Department of Laboratory Medicine, Zunyi Medical University, Zunyi 563003, China
| | - Xiaoyan He
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Aihua Peng
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Yuehong Li
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Teng Zhang
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Suhong Sun
- Department of Breast Surgery, The first Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Rui Ma
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
| | - Xinsheng Yao
- Department of Immunology, Research Center for Medicine &Biology, Innovation &Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563003, China
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Piccinni B, Massari S, Caputi Jambrenghi A, Giannico F, Lefranc MP, Ciccarese S, Antonacci R. Sheep (Ovis aries) T cell receptor alpha (TRA) and delta (TRD) genes and genomic organization of the TRA/TRD locus. BMC Genomics 2015; 16:709. [PMID: 26383271 PMCID: PMC4574546 DOI: 10.1186/s12864-015-1790-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Accepted: 07/22/2015] [Indexed: 11/30/2022] Open
Abstract
Background In mammals, T cells develop along two discrete pathways characterized by expression of either the αβ or the γδ T cell receptors. Human and mouse display a low peripheral blood γδ T cell percentage ("γδ low species") while sheep, bovine and pig accounts for a high proportion of γδ T lymphocytes ("γδ high species"). While the T cell receptor alpha (TRA) and delta (TRD) genes and the genomic organization of the TRA/TRD locus has been determined in human and mouse, this information is still poorly known in artiodactyl species, such as sheep. Results The analysis of the current Ovis aries whole genome assembly, Oar_v3.1, revealed that, as in the other mammalian species, the sheep TRD locus is nested within the TRA locus. In the most 5’ part the TRA/TRD locus contains TRAV genes which are intermingled with TRDV genes, then TRD genes which include seven TRDD, four TRDJ genes, one TRDC and a single TRDV gene with an inverted transcriptional orientation, and finally in the most 3’ part, the TRA locus is completed by 61 TRAJ genes and one TRAC gene. Comparative sequence and analysis and annotation led to the identification of 66 TRAV genes assigned to 34 TRAV subgroups and 25 TRDV genes belonging to the TRDV1 subgroup, while one gene was found for each TRDV2, TRDV3 and TRDV4 subgroups. Multiple duplication events within several TRAV subgroups have generated the sheep TRAV germline repertoire, which is substantially larger than the human one. A significant proportion of these TRAV gene duplications seems to have occurred simultaneously with the amplification of the TRDV1 subgroup genes. This dynamic of expansion has also generated novel multigene subgroups, which are species-specific. Ovis aries TRA and TRD genes identified in this study were assigned IMGT definitive or temporary names and were approved by the IMGT/WHO-IUIS nomenclature committee. The completeness of the genome assembly in the 3' part of the locus has allowed us to interpret rearranged CDR3 of cDNA from both TRA and TRD chain repertoires. The involvement of one up to four TRDD genes into a single transcript makes the potential sheep TRD chain much larger than any known TR chain repertoire. Conclusions The sheep genome, as the bovine genome, contains a large and diverse repertoire of TRA and TRD genes when compared to the “γδ T cell low” species genomes. The composition and length of the rearranged CDR3 in TRD V-delta domains influence the three-dimensional configuration of the antigen-combining site thus suggesting that in ruminants, γδ T cells play a more important and specific role in immune recognition. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1790-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Barbara Piccinni
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universita' del Salento, Lecce, Italy. .,Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Serafina Massari
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universita' del Salento, Lecce, Italy.
| | - Anna Caputi Jambrenghi
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Francesco Giannico
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Marie-Paule Lefranc
- IMGT, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS 1142, Université Montpellier 2, 34396, Montpellier, Cedex 5, France.
| | - Salvatrice Ciccarese
- Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Rachele Antonacci
- Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
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Lefranc MP, Giudicelli V, Duroux P, Jabado-Michaloud J, Folch G, Aouinti S, Carillon E, Duvergey H, Houles A, Paysan-Lafosse T, Hadi-Saljoqi S, Sasorith S, Lefranc G, Kossida S. IMGT®, the international ImMunoGeneTics information system® 25 years on. Nucleic Acids Res 2015; 43:D413-22. [PMID: 25378316 PMCID: PMC4383898 DOI: 10.1093/nar/gku1056] [Citation(s) in RCA: 389] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 10/13/2014] [Indexed: 12/20/2022] Open
Abstract
IMGT(®), the international ImMunoGeneTics information system(®)(http://www.imgt.org) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), IMGT(®) marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT(®) is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) and proteins of the IgSF and MhSF superfamilies. IMGT(®) is built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and 3D structures. The concepts include the IMGT(®) standardized keywords (identification), IMGT(®) standardized labels (description), IMGT(®) standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT(®) comprises 7 databases, 17 online tools and 15,000 pages of web resources, and provides a high-quality and integrated system for analysis of the genomic and expressed IG and TR repertoire of the adaptive immune responses, including NGS high-throughput data. Tools and databases are used in basic, veterinary and medical research, in clinical applications (mutation analysis in leukemia and lymphoma) and in antibody engineering and humanization. The IMGT/mAb-DB interface was developed for therapeutic antibodies and fusion proteins for immunological applications (FPIA). IMGT(®) is freely available at http://www.imgt.org.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Véronique Giudicelli
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Patrice Duroux
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Joumana Jabado-Michaloud
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Géraldine Folch
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Safa Aouinti
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Emilie Carillon
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Hugo Duvergey
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Amélie Houles
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Typhaine Paysan-Lafosse
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Saida Hadi-Saljoqi
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Souphatta Sasorith
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Gérard Lefranc
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Sofia Kossida
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
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Lefranc MP. Immunoglobulins: 25 years of immunoinformatics and IMGT-ONTOLOGY. Biomolecules 2014; 4:1102-39. [PMID: 25521638 PMCID: PMC4279172 DOI: 10.3390/biom4041102] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 12/02/2014] [Accepted: 12/03/2014] [Indexed: 11/17/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics information system® (CNRS and Montpellier University) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989, IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH), and IgSF and MhSF superfamilies. IMGT® has been built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and three-dimensional (3D) structures. The concepts include the IMGT® standardized keywords (identification), IMGT® standardized labels (description), IMGT® standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT® comprises seven databases, 15,000 pages of web resources and 17 tools. IMGT® tools and databases provide a high-quality analysis of the IG from fish to humans, for basic, veterinary and medical research, and for antibody engineering and humanization. They include, as examples: IMGT/V-QUEST and IMGT/JunctionAnalysis for nucleotide sequence analysis and their high-throughput version IMGT/HighV-QUEST for next generation sequencing, IMGT/DomainGapAlign for amino acid sequence analysis of IG domains, IMGT/3Dstructure-DB for 3D structures, contact analysis and paratope/epitope interactions of IG/antigen complexes, and the IMGT/mAb-DB interface for therapeutic antibodies and fusion proteins for immunological applications (FPIA).
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, 141 rue de la Cardonille, 34396 Montpellier cedex 5, France.
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Alamyar E, Giudicelli V, Duroux P, Lefranc MP. Antibody V and C domain sequence, structure, and interaction analysis with special reference to IMGT®. Methods Mol Biol 2014; 1131:337-81. [PMID: 24515476 DOI: 10.1007/978-1-62703-992-5_21] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
IMGT(®), the international ImMunoGeneTics information system(®) (http://www.imgt.org), created in 1989 (Centre National de la Recherche Scientifique, Montpellier University), is acknowledged as the global reference in immunogenetics and immunoinformatics. The accuracy and the consistency of the IMGT(®) data are based on IMGT-ONTOLOGY which bridges the gap between genes, sequences, and three-dimensional (3D) structures. Thus, receptors, chains, and domains are characterized with the same IMGT(®) rules and standards (IMGT standardized labels, IMGT gene and allele nomenclature, IMGT unique numbering, IMGT Collier de Perles), independently from the molecule type (genomic DNA, complementary DNA, transcript, or protein) or from the species. More particularly, IMGT(®) tools and databases provide a highly standardized analysis of the immunoglobulin (IG) or antibody and T cell receptor (TR) V and C domains. IMGT/V-QUEST analyzes the V domains of IG or TR rearranged nucleotide sequences, integrates the IMGT/JunctionAnalysis and IMGT/Automat tools, and provides IMGT Collier de Perles. IMGT/HighV-QUEST analyzes sequences from high-throughput sequencing (HTS) (up to 150,000 sequences per batch) and performs statistical analysis on up to 450,000 results, with the same resolution and high quality as IMGT/V-QUEST online. IMGT/DomainGapAlign analyzes amino acid sequences of V and C domains and IMGT/3Dstructure-DB and associated tools provide information on 3D structures, contact analysis, and paratope/epitope interactions. These IMGT(®) tools and databases, and the IMGT/mAb-DB interface with access to therapeutical antibody data, provide an invaluable help for antibody engineering and antibody humanization.
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Affiliation(s)
- Eltaf Alamyar
- The International ImMunoGenetics information system, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine IGH, Université Montpellier 2, Montpellier, France
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OptMAVEn--a new framework for the de novo design of antibody variable region models targeting specific antigen epitopes. PLoS One 2014; 9:e105954. [PMID: 25153121 PMCID: PMC4143332 DOI: 10.1371/journal.pone.0105954] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 07/29/2014] [Indexed: 01/12/2023] Open
Abstract
Antibody-based therapeutics provides novel and efficacious treatments for a number of diseases. Traditional experimental approaches for designing therapeutic antibodies rely on raising antibodies against a target antigen in an immunized animal or directed evolution of antibodies with low affinity for the desired antigen. However, these methods remain time consuming, cannot target a specific epitope and do not lead to broad design principles informing other studies. Computational design methods can overcome some of these limitations by using biophysics models to rationally select antibody parts that maximize affinity for a target antigen epitope. This has been addressed to some extend by OptCDR for the design of complementary determining regions. Here, we extend this earlier contribution by addressing the de novo design of a model of the entire antibody variable region against a given antigen epitope while safeguarding for immunogenicity (Optimal Method for Antibody Variable region Engineering, OptMAVEn). OptMAVEn simulates in silico the in vivo steps of antibody generation and evolution, and is capable of capturing the critical structural features responsible for affinity maturation of antibodies. In addition, a humanization procedure was developed and incorporated into OptMAVEn to minimize the potential immunogenicity of the designed antibody models. As case studies, OptMAVEn was applied to design models of neutralizing antibodies targeting influenza hemagglutinin and HIV gp120. For both HA and gp120, novel computational antibody models with numerous interactions with their target epitopes were generated. The observed rates of mutations and types of amino acid changes during in silico affinity maturation are consistent with what has been observed during in vivo affinity maturation. The results demonstrate that OptMAVEn can efficiently generate diverse computational antibody models with both optimized binding affinity to antigens and reduced immunogenicity.
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Shi B, Ma L, He X, Wang X, Wang P, Zhou L, Yao X. Comparative analysis of human and mouse immunoglobulin variable heavy regions from IMGT/LIGM-DB with IMGT/HighV-QUEST. Theor Biol Med Model 2014; 11:30. [PMID: 24992938 PMCID: PMC4085081 DOI: 10.1186/1742-4682-11-30] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Accepted: 06/26/2014] [Indexed: 11/18/2022] Open
Abstract
Background Immunoglobulin (IG) complementarity determining region (CDR) includes VH CDR1, VH CDR2, VH CDR3, VL CDR1, VL CDR2 and VL CDR3. Of these, VH CDR3 plays a dominant role in recognizing and binding antigens. Three major mechanisms are involved in the formation of the VH repertoire: germline gene rearrangement, junctional diversity and somatic hypermutation. Features of the generation mechanisms of VH repertoire in humans and mice share similarities while VH CDR3 amino acid (AA) composition differs. Previous studies have mainly focused on germline gene rearrangement and the composition and structure of the CDR3 AA in humans and mice. However the number of AA changes due to somatic hypermutation and analysis of the junctional mechanism have been ignored. Methods Here we analyzed 9,340 human and 6,657 murine unique productive sequences of immunoglobulin (IG) variable heavy (VH) domains derived from IMGT/LIGM-DB database to understand how VH CDR3 AA compositions significantly differed between human and mouse. These sequences were identified and analyzed by IMGT/HighV-QUEST (http://www.imgt.org), including gene usage, number of AA changes due to somatic hypermutation, AA length distribution of VH CDR3, AA composition, and junctional diversity. Results Analyses of human and murine IG repertoires showed significant differences. A higher number of AA changes due to somatic hypermutation and more abundant N-region addition were found in human compared to mouse, which might be an important factor leading to differences in VH CDR3 amino acid composition. Conclusions These findings are a benchmark for understanding VH repertoires and can be used to characterize the VH repertoire during immune responses. The study will allow standardized comparison for high throughput results obtained by IMGT/HighV-QUEST, the reference portal for NGS repertoire.
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Affiliation(s)
| | | | | | | | | | | | - Xinsheng Yao
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563000, China.
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Schwartz JC, Murtaugh MP. Characterization of a polymorphic IGLV gene in pigs (Sus scrofa). Immunogenetics 2014; 66:507-11. [PMID: 24934119 DOI: 10.1007/s00251-014-0785-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 06/05/2014] [Indexed: 11/30/2022]
Abstract
Swine, unlike other artiodactyls, but similar to humans, utilize both lambda and kappa light chain isotypes almost equally in the generation of their antibody repertoire. The porcine antibody light chain loci have previously been characterized in a single Duroc sow in which was seen extensive allelic variation between light chain genes on homologous chromosomes. However, the extent of variation between individuals is completely unknown. Using deep sequencing of cDNA-derived amplicons from five pigs, we report the identification and characterization of an IGLV gene that is functional and highly expressed in some animals, yet completely absent in others. Our findings provide a possible rationale for the known individual-to-individual variation in antibody responses to vaccination, infectious challenge, and subsequent disease outcome.
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Affiliation(s)
- John C Schwartz
- Department of Veterinary and Biomedical Sciences, University of Minnesota, 1971 Commonwealth Avenue, St. Paul, MN, 55108, USA,
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West AP, Scharf L, Scheid JF, Klein F, Bjorkman PJ, Nussenzweig MC. Structural insights on the role of antibodies in HIV-1 vaccine and therapy. Cell 2014; 156:633-48. [PMID: 24529371 DOI: 10.1016/j.cell.2014.01.052] [Citation(s) in RCA: 267] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Indexed: 11/30/2022]
Abstract
Despite 30 years of effort, there is no effective vaccine for HIV-1. However, antibodies can prevent HIV-1 infection in humanized mice and macaques when passively transferred. New single-cell-based methods have uncovered many broad and potent donor-derived antibodies, and structural studies have revealed the molecular bases for their activities. The new data suggest why such antibodies are difficult to elicit and inform HIV-1 vaccine development efforts. In addition to protecting against infection, the newly identified antibodies can suppress active infections in mice and macaques, suggesting they could be valuable additions to anti-HIV-1 therapies and to strategies to eradicate HIV-1 infection.
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Affiliation(s)
- Anthony P West
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
| | - Louise Scharf
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA
| | - Johannes F Scheid
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | - Florian Klein
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | - Pamela J Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA; Howard Hughes Medical Institute, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA
| | - Michel C Nussenzweig
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA.
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Li S, Lefranc MP, Miles JJ, Alamyar E, Giudicelli V, Duroux P, Freeman JD, Corbin VDA, Scheerlinck JP, Frohman MA, Cameron PU, Plebanski M, Loveland B, Burrows SR, Papenfuss AT, Gowans EJ. IMGT/HighV QUEST paradigm for T cell receptor IMGT clonotype diversity and next generation repertoire immunoprofiling. Nat Commun 2014; 4:2333. [PMID: 23995877 PMCID: PMC3778833 DOI: 10.1038/ncomms3333] [Citation(s) in RCA: 157] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Accepted: 07/23/2013] [Indexed: 02/08/2023] Open
Abstract
T cell repertoire diversity and clonotype follow-up in vaccination, cancer, infectious and immune diseases represent a major challenge owing to the enormous complexity of the data generated. Here we describe a next generation methodology, which combines 5'RACE PCR, 454 sequencing and, for analysis, IMGT, the international ImMunoGeneTics information system (IMGT), IMGT/HighV-QUEST web portal and IMGT-ONTOLOGY concepts. The approach is validated in a human case study of T cell receptor beta (TRB) repertoire, by chronologically tracking the effects of influenza vaccination on conventional and regulatory T cell subpopulations. The IMGT/HighV-QUEST paradigm defines standards for genotype/haplotype analysis and characterization of IMGT clonotypes for clonal diversity and expression and achieves a degree of resolution for next generation sequencing verifiable by the user at the sequence level, while providing a normalized reference immunoprofile for human TRB.
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Affiliation(s)
- Shuo Li
- Department of Microbiology and Immunology, The University of Melbourne, Parkville, Victoria 3052, Australia
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Abstract
ABSTRACT
Antibody informatics, a part of immunoinformatics, refers to the concepts, databases, and tools developed and used to explore and to analyze the particular properties of the immunoglobulins (IG) or antibodies, compared with conventional genes and proteins. Antibody informatics is based on a unique ontology, IMGT-ONTOLOGY, created in 1989 by IMGT, the international ImMunoGeneTics information system (
http://www.imgt.org
). IMGT-ONTOLOGY defined, for the first time, the concept of ‘genes’ for the IG and the T cell receptors (TR), which led to their gene and allele nomenclature and allowed their entry in databases and tools. A second IMGT-ONTOLOGY revolutionizing and definitive concept was the IMGT unique numbering that bridged the gap between sequences and structures for the variable (V) and constant (C) domains of the IG and TR, and for the groove (G) domains of the major histocompatibility (MH). These breakthroughs contributed to the development of IMGT databases and tools for antibody informatics and its diverse applications, such as repertoire analysis in infectious diseases, antibody engineering and humanization, and study of antibody/antigen interactions. Nucleotide sequences of antibody V domains from deep sequencing (Next Generation Sequencing or High Throughput Sequencing) are analyzed with IMGT/HighV-QUEST, the high-throughput version of IMGT/V-QUEST and IMGT/JunctionAnalysis. Amino acid sequences of V and C domains are represented with the IMGT/Collier-de-Perles tool and analyzed with IMGT/DomainGapAlign. Three-dimensional (3D) structures (including contact analysis and paratope/epitope) are described in IMGT/3Dstructure-DB. Based on a friendly interface, IMGT/mAb-DB contains therapeutic monoclonal antibodies (INN suffix–mab) that can be queried on their specificity, for example, in infectious diseases, on bacterial or viral targets.
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Lefranc MP. Immunoglobulin and T Cell Receptor Genes: IMGT(®) and the Birth and Rise of Immunoinformatics. Front Immunol 2014; 5:22. [PMID: 24600447 PMCID: PMC3913909 DOI: 10.3389/fimmu.2014.00022] [Citation(s) in RCA: 176] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 01/15/2014] [Indexed: 11/13/2022] Open
Abstract
IMGT(®), the international ImMunoGeneTics information system(®) (1), (CNRS and Université Montpellier 2) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989, IMGT(®) marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT(®) is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH), and proteins of the IgSF and MhSF superfamilies. IMGT(®) has been built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences, and three-dimensional (3D) structures. The concepts include the IMGT(®) standardized keywords (concepts of identification), IMGT(®) standardized labels (concepts of description), IMGT(®) standardized nomenclature (concepts of classification), IMGT unique numbering, and IMGT Colliers de Perles (concepts of numerotation). IMGT(®) comprises seven databases, 15,000 pages of web resources, and 17 tools, and provides a high-quality and integrated system for the analysis of the genomic and expressed IG and TR repertoire of the adaptive immune responses. Tools and databases are used in basic, veterinary, and medical research, in clinical applications (mutation analysis in leukemia and lymphoma) and in antibody engineering and humanization. They include, for example IMGT/V-QUEST and IMGT/JunctionAnalysis for nucleotide sequence analysis and their high-throughput version IMGT/HighV-QUEST for next-generation sequencing (500,000 sequences per batch), IMGT/DomainGapAlign for amino acid sequence analysis of IG and TR variable and constant domains and of MH groove domains, IMGT/3Dstructure-DB for 3D structures, contact analysis and paratope/epitope interactions of IG/antigen and TR/peptide-MH complexes and IMGT/mAb-DB interface for therapeutic antibodies and fusion proteins for immune applications (FPIA).
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Affiliation(s)
- Marie-Paule Lefranc
- The International ImMunoGenetics Information System (IMGT), Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine, UPR CNRS, Université Montpellier 2, Montpellier, France
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45
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Six A, Mariotti-Ferrandiz ME, Chaara W, Magadan S, Pham HP, Lefranc MP, Mora T, Thomas-Vaslin V, Walczak AM, Boudinot P. The past, present, and future of immune repertoire biology - the rise of next-generation repertoire analysis. Front Immunol 2013; 4:413. [PMID: 24348479 PMCID: PMC3841818 DOI: 10.3389/fimmu.2013.00413] [Citation(s) in RCA: 113] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Accepted: 11/12/2013] [Indexed: 01/09/2023] Open
Abstract
T and B cell repertoires are collections of lymphocytes, each characterized by its antigen-specific receptor. We review here classical technologies and analysis strategies developed to assess immunoglobulin (IG) and T cell receptor (TR) repertoire diversity, and describe recent advances in the field. First, we describe the broad range of available methodological tools developed in the past decades, each of which answering different questions and showing complementarity for progressive identification of the level of repertoire alterations: global overview of the diversity by flow cytometry, IG repertoire descriptions at the protein level for the identification of IG reactivities, IG/TR CDR3 spectratyping strategies, and related molecular quantification or dynamics of T/B cell differentiation. Additionally, we introduce the recent technological advances in molecular biology tools allowing deeper analysis of IG/TR diversity by next-generation sequencing (NGS), offering systematic and comprehensive sequencing of IG/TR transcripts in a short amount of time. NGS provides several angles of analysis such as clonotype frequency, CDR3 diversity, CDR3 sequence analysis, V allele identification with a quantitative dimension, therefore requiring high-throughput analysis tools development. In this line, we discuss the recent efforts made for nomenclature standardization and ontology development. We then present the variety of available statistical analysis and modeling approaches developed with regards to the various levels of diversity analysis, and reveal the increasing sophistication of those modeling approaches. To conclude, we provide some examples of recent mathematical modeling strategies and perspectives that illustrate the active rise of a "next-generation" of repertoire analysis.
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Affiliation(s)
- Adrien Six
- UPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, CIC-BTi Biotherapy , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France
| | - Maria Encarnita Mariotti-Ferrandiz
- UPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France
| | - Wahiba Chaara
- UPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, CIC-BTi Biotherapy , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France
| | - Susana Magadan
- Institut National de la Recherche Agronomique, Unité de Virologie et Immunologie Moléculaires , Jouy-en-Josas , France
| | - Hang-Phuong Pham
- UPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France
| | - Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Institut de Génétique Humaine, UPR CNRS 1142, Université Montpellier 2 , Montpellier , France
| | - Thierry Mora
- Laboratoire de Physique Statistique, UMR8550, CNRS and Ecole Normale Supérieure , Paris , France
| | - Véronique Thomas-Vaslin
- UPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France
| | - Aleksandra M Walczak
- Laboratoire de Physique Théorique, UMR8549, CNRS and Ecole Normale Supérieure , Paris , France
| | - Pierre Boudinot
- Institut National de la Recherche Agronomique, Unité de Virologie et Immunologie Moléculaires , Jouy-en-Josas , France
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Pantazes RJ, Maranas CD. MAPs: a database of modular antibody parts for predicting tertiary structures and designing affinity matured antibodies. BMC Bioinformatics 2013; 14:168. [PMID: 23718826 PMCID: PMC3687570 DOI: 10.1186/1471-2105-14-168] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 05/24/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The de novo design of a novel protein with a particular function remains a formidable challenge with only isolated and hard-to-repeat successes to date. Due to their many structurally conserved features, antibodies are a family of proteins amenable to predictable rational design. Design algorithms must consider the structural diversity of possible naturally occurring antibodies. The human immune system samples this design space (2 1012) by randomly combining variable, diversity, and joining genes in a process known as V-(D)-J recombination. DESCRIPTION By analyzing structural features found in affinity matured antibodies, a database of Modular Antibody Parts (MAPs) analogous to the variable, diversity, and joining genes has been constructed for the prediction of antibody tertiary structures. The database contains 929 parts constructed from an analysis of 1168 human, humanized, chimeric, and mouse antibody structures and encompasses all currently observed structural diversity of antibodies. CONCLUSIONS The generation of 260 antibody structures shows that the MAPs database can be used to reliably predict antibody tertiary structures with an average all-atom RMSD of 1.9 Å. Using the broadly neutralizing anti-influenza antibody CH65 and anti-HIV antibody 4E10 as examples, promising starting antibodies for affinity maturation are identified and amino acid changes are traced as antibody affinity maturation occurs.
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47
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Haggart R, Perera J, Huang H. Cloning of a hamster anti-mouse CD79B antibody sequences and identification of a new hamster immunoglobulin lambda constant IGLC gene region. Immunogenetics 2013; 65:473-8. [PMID: 23558558 DOI: 10.1007/s00251-013-0698-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2013] [Accepted: 03/13/2013] [Indexed: 11/24/2022]
Abstract
Anti-CD79 antibodies have been effective at targeting B cell lymphoma cells and depleting B cells in animal models. In order to engineer recombinant antibodies with additional effector functions in mice, we cloned and sequenced the full-length cDNAs of the heavy and light chain of a hamster anti-mouse CD79B antibody. Although hamster antibodies represent a unique source of monoclonal antibodies against mouse, rat, and human antigens, sequence information of hamster immunoglobulins (IG) is sparse. Here, we report a new hamster (Cricetulus migratorius) IG lambda constant (IGLC) gene region that is most homologous to mouse IGLC2 and IGLC3.
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Affiliation(s)
- Ryan Haggart
- Department of Medicine, Section of Rheumatology, Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL 60637, USA
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Vlachakis D, Feidakis C, Megalooikonomou V, Kossida S. IMGT/Collier-de-Perles: a two-dimensional visualization tool for amino acid domain sequences. Theor Biol Med Model 2013; 10:14. [PMID: 23432825 PMCID: PMC3621776 DOI: 10.1186/1742-4682-10-14] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Accepted: 02/16/2013] [Indexed: 11/23/2022] Open
Abstract
IMGT/Collier-de-Perles is a tool that allows the user to analyze and draw two-dimensional graphical representations (or IMGT Collier de Perles) of protein domains (e.g., hydropathy plots). The IMGT/Collier-de-Perles specializes in the area of immunoglobulins (IG) or antibodies, T cell receptors (TR) and major histocompatibility (MH) of human and other vertebrate species as well as other proteins of the immunoglobulin superfamily (IgSF) and of the major histocompatibility superfamily (MhSF) and related proteins of the immune system of vertebrates and invertebrates.
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Affiliation(s)
- Dimitrios Vlachakis
- Bioinformatics & Medical Informatics Team, Biomedical Research Foundation, Academy of Athens, Soranou Efessiou 4, Athens 11527, Greece
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Use of IMGT(®) databases and tools for antibody engineering and humanization. Methods Mol Biol 2012; 907:3-37. [PMID: 22907343 DOI: 10.1007/978-1-61779-974-7_1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
IMGT(®), the international ImMunoGeneTics information system(®) (http://www.imgt.org), was created in 1989 to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR). Standardized sequence and structure analysis of antibody using IMGT(®) databases and tools allows one to bridge, for the first time, the gap between antibody sequences and three-dimensional (3D) structures. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY concepts of classification (IMGT gene and allele nomenclature), description (IMGT standardized labels), and numerotation (IMGT unique numbering and IMGT Colliers de Perles). IMGT(®) is the international reference for immunogenetics and immunoinformatics and its standards are particularly useful for antibody humanization and evaluation of immunogenicity. IMGT(®) databases for antibody nucleotide sequences and genes include IMGT/LIGM-DB and IMGT/GENE-DB, respectively, whereas nucleotide sequence analysis is performed by the IMGT/V-QUEST, IMGT/HighV-QUEST, and IMGT/JunctionAnalysis tools. In this chapter, we focus on IMGT(®) databases and tools for amino acid sequences, two-dimensional (2D) and three-dimensional (3D) structures: the IMGT/DomainGapAlign and IMGT/Collier-de-Perles tools, the IMGT/2Dstructure-DB database for amino acid sequences of monoclonal antibodies (mAb, suffix -mab) and fusion proteins for immune applications (FPIA, suffix -cept) of the World Health Organization/International Nonproprietary Name (WHO/INN) programme and other proteins of interest, and the IMGT/3Dstructure-DB database for crystallized antibodies and its associated tools (IMGT/StructuralQuery, IMGT/DomainSuperimpose).
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Abstract
Immunogenetics is the science that studies the genetics of the immune system and immune responses. Owing to the complexity and diversity of the immune repertoire, immunogenetics represents one of the greatest challenges for data interpretation: a large biological expertise, a considerable effort of standardization and the elaboration of an efficient system for the management of the related knowledge were required. IMGT®, the international ImMunoGeneTics information system® (http://www.imgt.org) has reached that goal through the building of a unique ontology, IMGT-ONTOLOGY, which represents the first ontology for the formal representation of knowledge in immunogenetics and immunoinformatics. IMGT-ONTOLOGY manages the immunogenetics knowledge through diverse facets that rely on the seven axioms of the Formal IMGT-ONTOLOGY or IMGT-Kaleidoscope: “IDENTIFICATION,” “DESCRIPTION,” “CLASSIFICATION,” “NUMEROTATION,” “LOCALIZATION,” “ORIENTATION,” and “OBTENTION.” The concepts of identification, description, classification, and numerotation generated from the axioms led to the elaboration of the IMGT® standards that constitute the IMGT Scientific chart: IMGT® standardized keywords (concepts of identification), IMGT® standardized labels (concepts of description), IMGT® standardized gene and allele nomenclature (concepts of classification) and IMGT unique numbering and IMGT Collier de Perles (concepts of numerotation). IMGT-ONTOLOGY has become the global reference in immunogenetics and immunoinformatics for the knowledge representation of immunoglobulins (IG) or antibodies, T cell receptors (TR), and major histocompatibility (MH) proteins of humans and other vertebrates, proteins of the immunoglobulin superfamily (IgSF) and MH superfamily (MhSF), related proteins of the immune system (RPI) of vertebrates and invertebrates, therapeutic monoclonal antibodies (mAbs), fusion proteins for immune applications (FPIA), and composite proteins for clinical applications (CPCA).
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Affiliation(s)
- Véronique Giudicelli
- IMGT® the international ImMunoGenetics information system® Université Montpellier 2, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS Montpellier, France
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