1
|
Shibata M, Terada A, Kawaguchi T, Kamatani Y, Okada D, Nagashima K, Ohmura K, Matsuda F, Kawaguchi S, Sese J, Yamada R. Identification of epistatic SNP combinations in rheumatoid arthritis using LAMPLINK and Japanese cohorts. J Hum Genet 2024:10.1038/s10038-024-01269-y. [PMID: 39014190 DOI: 10.1038/s10038-024-01269-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 06/16/2024] [Accepted: 06/20/2024] [Indexed: 07/18/2024]
Abstract
Genome-wide association studies have enabled the identification of important genetic factors in many trait studies. However, only a fraction of the heritability can be explained by known genetic factors, even in the most common diseases. Genetic loci combinations, or epistatic contributions expressed by combinations of single nucleotide polymorphisms (SNPs), have been argued to be one of the critical factors explaining some of the missing heritability, especially in oligogenic/polygenic diseases. Rheumatoid arthritis (RA) is a complex disease with more than 100 reported SNP associations, as well as various HLA haplotypes and amino acids; however, many associations between RA and inter-chromosomal SNP combinations are unknown. To discover novel associations of epistatic interactions with high odds ratios in RA, we applied the LAMPLINK method, a systematic enumerative procedure for identifying high-order SNP combinations, to a Japanese RA cohort (discovery cohort; 4024 patients with RA and 7731 controls). We validated the identified associations in a different Japanese cohort (validation cohort; 810 RA patients and 6303 controls). In this study, we identified 90 significant genetic associations in the discovery cohort. Among these, 74 (82.2%) associations were replicated in the validation cohort, and eight combinations were inter-chromosomal, all of which comprised rs7765379 or rs35265698 located in the HLA region. These two SNPs exhibited strong correlations with valine at amino acid position 11 in HLA-DRB1 (HLA-DRB1-11-Val). Finally, we discovered that rs9624 showed an association with RA through an epistatic interaction with HLA-DRB1-11-Val. Overall, LAMPLINK showed high reliability for identifying epistatic genetic contributions hidden in complex traits.
Collapse
Affiliation(s)
- Mio Shibata
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | | | - Takahisa Kawaguchi
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Daigo Okada
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuhisa Nagashima
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shuji Kawaguchi
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Jun Sese
- Humanome Lab. Inc., Tokyo, Japan.
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
| | - Ryo Yamada
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| |
Collapse
|
2
|
Mikhaylov V, Brambley CA, Keller GLJ, Arbuiso AG, Weiss LI, Baker BM, Levine AJ. Accurate modeling of peptide-MHC structures with AlphaFold. Structure 2024; 32:228-241.e4. [PMID: 38113889 PMCID: PMC10872456 DOI: 10.1016/j.str.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/17/2023] [Accepted: 11/22/2023] [Indexed: 12/21/2023]
Abstract
Major histocompatibility complex (MHC) proteins present peptides on the cell surface for T cell surveillance. Reliable in silico prediction of which peptides would be presented and which T cell receptors would recognize them is an important problem in structural immunology. Here, we introduce an AlphaFold-based pipeline for predicting the three-dimensional structures of peptide-MHC complexes for class I and class II MHC molecules. Our method demonstrates high accuracy, outperforming existing tools in class I modeling accuracy and class II peptide register prediction. We validate its performance and utility with new experimental data on a recently described cancer neoantigen/wild-type peptide pair and explore applications toward improving peptide-MHC binding prediction.
Collapse
Affiliation(s)
- Victor Mikhaylov
- The Simons Center for Systems Biology, Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA.
| | - Chad A Brambley
- Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Grant L J Keller
- Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Alyssa G Arbuiso
- Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Laura I Weiss
- Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Brian M Baker
- Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Arnold J Levine
- The Simons Center for Systems Biology, Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA
| |
Collapse
|
3
|
Ravindranath MH, Ravindranath NM, Amato-Menker CJ, El Hilali F, Filippone EJ. Diversity in the HLA-I Recognition of HLA-F Monoclonal Antibodies: HLA-F or HLA-Ib Monospecific, HLA-E or HLA-G Bispecific Antibodies with or without HLA-Ia Reactivity. Antibodies (Basel) 2024; 13:8. [PMID: 38390869 PMCID: PMC10885067 DOI: 10.3390/antib13010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/06/2023] [Accepted: 01/25/2024] [Indexed: 02/24/2024] Open
Abstract
Previous investigators have used various anti-HLA-F monoclonal antibodies (mAbs) to demonstrate that the tissue distribution of HLA-F is highly restricted. Notably, these mAbs differed in their immunodiagnostic capabilities. Specifically, mAbs Fpep1.1 and FG1 detected HLA-F intracellularly in B cells but not on the cell surface, whereas mAb 3D11 detected HLA-F on the cell surface. The presence of HLA-F on T cells was recognized by mAb FG1 but not by mAb Fpep1.1. mAb 3D11 detected HLA-F on the cell surface of activated B cells and on peripheral blood lymphocytes, but not on the normal cells. Importantly, mAb 3D11 revealed that HLA-F exists as a heavy chain (HC) monomer, rather than as an HC associated with B2m. Although these mAbs are believed to be specific to HLA-F, their monospecificity has not been formally established, which is critical for immunodiagnostic and therapeutic purposes. Previously, we investigated the diversity of HLA class I reactivities of anti-HLA-E mAbs using HLA-I coated multiplex bead assays on a Luminex platform. We reported that more than 80% of the HLA-E mAbs were cross-reactive with other HLA-I molecules, with exceptionally few truly HLA-E-monospecific mAbs. In the present investigation, we generated IgG mAbs against HCs of HLA-F in Balb/C mice and examined the cross-reactivity of anti-HLA-F mAbs with other HLA-I alleles using a multiplex bead assay on the Luminex platform. Beads coated with an array of HLA homo- and heterodimers of different HLA-Ia (HLA-A, HLA-B, and HLA-C) and Ib (HLA-E, HLA-F, and HLA-G) alleles were used to examine the binding of the anti-HLA-F mAbs. Only two mAbs were HLA-F monospecific, and five were HLA-Ib restricted. Several anti-HLA-F mAbs cross-reacted with HLA-E (n = 4), HLA-G (n = 3), HLA-Ia alleles (n = 9), HLA-G and HLA-Ia (n = 2), and HLA-Ib and HLA-Ia (n = 6). This monospecificity and polyreactivity were corroborated by the presence of HLA-F monospecific and HLA-I-shared sequences. This study emphasizes the need to monitor the mono-specificity of HLA-F for reliable immunodiagnostics and passive immunotherapy.
Collapse
Affiliation(s)
- Mepur H Ravindranath
- Department of Hematology and Oncology, Children's Hospital, Los Angeles, CA 90027, USA
- Terasaki Foundation Laboratory, Santa Monica, CA 90064, USA
| | - Narendranath M Ravindranath
- Norris Dental Science Center, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA 90089, USA
| | - Carly J Amato-Menker
- Department of Microbiology, Immunology and Cell Biology, School of Medicine, West Virginia University, Morgantown, WV 26506, USA
| | - Fatiha El Hilali
- Medico-Surgical, Biomedicine and Infectiology Research Laboratory, The Faculty of Medicine and Pharmacy of Laayoune & Agadir, Ibnou Zohr University, Agadir 80000, Morocco
| | - Edward J Filippone
- Division of Nephrology, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19145, USA
| |
Collapse
|
4
|
Ravindranath MH, Ravindranath NM, Selvan SR, Hilali FE, Amato-Menker CJ, Filippone EJ. Cell Surface B2m-Free Human Leukocyte Antigen (HLA) Monomers and Dimers: Are They Neo-HLA Class and Proto-HLA? Biomolecules 2023; 13:1178. [PMID: 37627243 PMCID: PMC10452486 DOI: 10.3390/biom13081178] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 08/27/2023] Open
Abstract
Cell surface HLA-I molecules (Face-1) consist of a polypeptide heavy chain (HC) with two groove domains (G domain) and one constant domain (C-domain) as well as a light chain, B2-microglobulin (B2m). However, HCs can also independently emerge unfolded on the cell surface without peptides as B2m-free HC monomers (Face-2), B2m-free HC homodimers (Face 3), and B2m-free HC heterodimers (Face-4). The transport of these HLA variants from ER to the cell surface was confirmed by antiviral antibiotics that arrest the release of newly synthesized proteins from the ER. Face-2 occurs at low levels on the normal cell surface of the lung, bronchi, epidermis, esophagus, breast, stomach, ilium, colorectum, gall bladder, urinary bladder, seminal vesicles ovarian epithelia, endometrium, thymus, spleen, and lymphocytes. They are upregulated on immune cells upon activation by proinflammatory cytokines, anti-CD3 antibodies, antibiotics (e.g., ionomycin), phytohemagglutinin, retinoic acid, and phorbol myristate acetate. Their density on the cell surface remains high as long as the cells remain in an activated state. After activation-induced upregulation, the Face-2 molecules undergo homo- and hetero-dimerization (Face-3 and Face-4). Alterations in the redox environment promote dimerization. Heterodimerization can occur among and between the alleles of different haplotypes. The glycosylation of these variants differ from that of Face-1, and they may occur with bound exogenous peptides. Spontaneous arthritis occurs in HLA-B27+ mice lacking B2m (HLA-B27+ B2m-/-) but not in HLA-B27+ B2m+/- mice. The mice with HLA-B27 in Face-2 spontaneous configuration develop symptoms such as changes in nails and joints, hair loss, and swelling in paws, leading to ankyloses. Anti-HC-specific mAbs delay disease development. Some HLA-I polyreactive mAbs (MEM series) used for immunostaining confirm the existence of B2m-free variants in several cancer cells. The upregulation of Face-2 in human cancers occurs concomitantly with the downregulation of intact HLAs (Face-1). The HLA monomeric and dimeric variants interact with inhibitory and activating ligands (e.g., KIR), growth factors, cytokines, and neurotransmitters. Similarities in the amino acid sequences of the HLA-I variants and HLA-II β-chain suggest that Face-2 could be the progenitor of both HLA classes. These findings may support the recognition of these variants as a neo-HLA class and proto-HLA.
Collapse
Affiliation(s)
- Mepur H. Ravindranath
- Department of Hematology and Oncology, Children’s Hospital, Los Angeles, CA 90027, USA
- Terasaki Foundation Laboratory, Santa Monica, CA 90064, USA
| | - Narendranath M. Ravindranath
- Norris Dental Science Center, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA 90089, USA;
| | - Senthamil R. Selvan
- Division of Immunology and Hematology Devices, OHT 7: Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, Food and Drug Administration (FDA), Silver Spring, MD 20993, USA;
| | - Fatiha El Hilali
- Medico-Surgical, Biomedicine and Infectiology Research Laboratory, The Faculty of Medicine and Pharmacy of Laayoune & Agadir, Ibnou Zohr University, Agadir 80000, Morocco;
| | - Carly J. Amato-Menker
- Department of Microbiology, Immunology and Cell Biology, School of Medicine, West Virginia University, Morgantown, WV 26506, USA;
| | - Edward J. Filippone
- Division of Nephrology, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19145, USA;
| |
Collapse
|
5
|
Mikhaylov V, Levine AJ. Accurate modeling of peptide-MHC structures with AlphaFold. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.06.531396. [PMID: 36945436 PMCID: PMC10028922 DOI: 10.1101/2023.03.06.531396] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Major histocompatibility complex (MHC) proteins present peptides on the cell surface for T-cell surveillance. Reliable in silico prediction of which peptides would be presented and which T-cell receptors would recognize them is an important problem in structural immunology. Here, we introduce an AlphaFold-based pipeline for predicting the three-dimensional structures of peptide-MHC complexes for class I and class II MHC molecules. Our method demonstrates high accuracy, outperforming existing tools in class I modeling precision and class II peptide register prediction. We explore applications of this method towards improving peptide-MHC binding prediction.
Collapse
Affiliation(s)
- Victor Mikhaylov
- Institute for Advanced Study, 1 Einstein Dr., Princeton, NJ 08540
| | - Arnold J Levine
- Institute for Advanced Study, 1 Einstein Dr., Princeton, NJ 08540
| |
Collapse
|
6
|
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.
Collapse
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.
| |
Collapse
|
7
|
Wang Y, Tsitsiklis A, Devoe S, Gao W, Chu HH, Zhang Y, Li W, Wong WK, Deane CM, Neau D, Slansky JE, Thomas PG, Robey EA, Dai S. Peptide Centric Vβ Specific Germline Contacts Shape a Specialist T Cell Response. Front Immunol 2022; 13:847092. [PMID: 35967379 PMCID: PMC9372435 DOI: 10.3389/fimmu.2022.847092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 05/31/2022] [Indexed: 11/15/2022] Open
Abstract
Certain CD8 T cell responses are particularly effective at controlling infection, as exemplified by elite control of HIV in individuals harboring HLA-B57. To understand the structural features that contribute to CD8 T cell elite control, we focused on a strongly protective CD8 T cell response directed against a parasite-derived peptide (HF10) presented by an atypical MHC-I molecule, H-2Ld. This response exhibits a focused TCR repertoire dominated by Vβ2, and a representative TCR (TG6) in complex with Ld-HF10 reveals an unusual structure in which both MHC and TCR contribute extensively to peptide specificity, along with a parallel footprint of TCR on its pMHC ligand. The parallel footprint is a common feature of Vβ2-containing TCRs and correlates with an unusual Vα-Vβ interface, CDR loop conformations, and Vβ2-specific germline contacts with peptides. Vβ2 and Ld may represent "specialist" components for antigen recognition that allows for particularly strong and focused T cell responses.
Collapse
Affiliation(s)
- Yang Wang
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Alexandra Tsitsiklis
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, United States
| | - Stephanie Devoe
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Wei Gao
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
- Biological Physics Laboratory, College of Science, Beijing Forestry University, Beijing, China
| | - H. Hamlet Chu
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, United States
| | - Yan Zhang
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
| | - Wei Li
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
| | - Wing Ki Wong
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | | | - David Neau
- Department of Chemistry and Chemical Biology, Northeastern Collaborative Access Team (NE-CAT), Advanced Photon Source, Argonne National Laboratory, Cornell University, Argonne, IL, United States
| | - Jill E. Slansky
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Paul G. Thomas
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Ellen A. Robey
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, United States
| | - Shaodong Dai
- Department of Pharmaceutical Sciences, University of Colorado School of Pharmacy, Aurora, CO, United States
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| |
Collapse
|
8
|
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 .
Collapse
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.
| |
Collapse
|
9
|
Lefranc MP, Lefranc G. IMGT ®Homo sapiens IG and TR Loci, Gene Order, CNV and Haplotypes: New Concepts as a Paradigm for Jawed Vertebrates Genome Assemblies. Biomolecules 2022; 12:381. [PMID: 35327572 PMCID: PMC8945572 DOI: 10.3390/biom12030381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 02/04/2023] Open
Abstract
IMGT®, the international ImMunoGeneTics information system®, created in 1989, by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science which emerged at the interface between immunogenetics and bioinformatics for the study of the adaptive immune responses. IMGT® is based on a standardized nomenclature of the immunoglobulin (IG) and T cell receptor (TR) genes and alleles from fish to humans and on the IMGT unique numbering for the variable (V) and constant (C) domains of the immunoglobulin superfamily (IgSF) of vertebrates and invertebrates, and for the groove (G) domain of the major histocompatibility (MH) and MH superfamily (MhSF) proteins. IMGT® comprises 7 databases, 17 tools and more than 25,000 pages of web resources for sequences, genes and structures, based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts. IMGT® reference directories are used for the analysis of the NGS high-throughput expressed IG and TR repertoires (natural, synthetic and/or bioengineered) and for bridging sequences, two-dimensional (2D) and three-dimensional (3D) structures. This manuscript focuses on the IMGT®Homo sapiens IG and TR loci, gene order, copy number variation (CNV) and haplotypes new concepts, as a paradigm for jawed vertebrates genome assemblies.
Collapse
Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’Immuno Génétique 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’Immuno Génétique 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
| |
Collapse
|
10
|
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.
Collapse
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
| |
Collapse
|
11
|
The T Cell Receptor (TRB) Locus in Tursiops truncatus: From Sequence to Structure of the Alpha/Beta Heterodimer in the Human/Dolphin Comparison. Genes (Basel) 2021; 12:genes12040571. [PMID: 33919966 PMCID: PMC8070946 DOI: 10.3390/genes12040571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/27/2021] [Accepted: 04/12/2021] [Indexed: 01/25/2023] Open
Abstract
The bottlenose dolphin (Tursiops truncatus) belongs to the Cetartiodactyla and, similarly to other cetaceans, represents the most successful mammalian colonization of the aquatic environment. Here we report a genomic, evolutionary, and expression study of T. truncatus T cell receptor beta (TRB) genes. Although the organization of the dolphin TRB locus is similar to that of the other artiodactyl species, with three in tandem D-J-C clusters located at its 3' end, its uniqueness is given by the reduction of the total length due essentially to the absence of duplications and to the deletions that have drastically reduced the number of the germline TRBV genes. We have analyzed the relevant mature transcripts from two subjects. The simultaneous availability of rearranged T cell receptor α (TRA) and TRB cDNA from the peripheral blood of one of the two specimens, and the human/dolphin amino acids multi-sequence alignments, allowed us to calculate the most likely interactions at the protein interface between the alpha/beta heterodimer in complex with major histocompatibility class I (MH1) protein. Interacting amino acids located in the complementarity-determining region according to IMGT numbering (CDR-IMGT) of the dolphin variable V-alpha and beta domains were identified. According to comparative modelization, the atom pair contact sites analysis between the human MH1 grove (G) domains and the T cell receptor (TR) V domains confirms conservation of the structure of the dolphin TR/pMH.
Collapse
|
12
|
Genome wide association study of HTLV-1-associated myelopathy/tropical spastic paraparesis in the Japanese population. Proc Natl Acad Sci U S A 2021; 118:2004199118. [PMID: 33649182 PMCID: PMC7980450 DOI: 10.1073/pnas.2004199118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Human T cell leukemia virus type 1 (HTLV-1) proviral load is associated with the risk of developing HTLV-1–associated myelopathy/tropical spastic paraparesis (HAM/TSP) and several small-scale candidate gene approaches have also identified associations of particular HLA alleles with HAM/TSP risk. However, no large-scale genome-wide association (GWA) studies have been performed to date. By a large-scale GWA study and comprehensive genotyping of classical HLA genes, we found that HLA-DRB1 alleles carrying leucine at the antigen presentation groove domain (DRB1-GB-7-Leu) increased the susceptibility to HAM/TSP. Individuals who were homozygous for DRB1-GB-7-Leu had a ninefold increased odds of developing HAM/TSP. This effect of DRB1-GB-7-Leu was independent of proviral load. These findings identify DRB1-GB-7-Leu as a genetic risk marker of HAM/TSP development. HTLV-1–associated myelopathy (HAM/TSP) is a chronic and progressive inflammatory disease of the central nervous system. The aim of our study was to identify genetic determinants related to the onset of HAM/TSP in the Japanese population. We conducted a genome-wide association study comprising 753 HAM/TSP patients and 899 asymptomatic HTLV-1 carriers. We also performed comprehensive genotyping of HLA-A, -B, -C, -DPB1, -DQB1, and -DRB1 genes using next-generation sequencing technology for 651 HAM/TSP patients and 804 carriers. A strong association was observed in HLA class I (P = 1.54 × 10−9) and class II (P = 1.21 × 10−8) loci with HAM/TSP. Association analysis using HLA genotyping results showed that HLA-C*07:02 (P = 2.61 × 10−5), HLA-B*07:02 (P = 4.97 × 10−10), HLA-DRB1*01:01 (P = 1.15 × 10−9) and HLA-DQB1*05:01 (P = 2.30 × 10−9) were associated with disease risk, while HLA-B*40:06 (P = 3.03 × 10−5), HLA-DRB1*15:01 (P = 1.06 × 10−5) and HLA-DQB1*06:02 (P = 1.78 × 10−6) worked protectively. Logistic regression analysis identified amino acid position 7 in the G-BETA domain of HLA-DRB1 as strongly associated with HAM/TSP (P = 9.52 × 10−10); individuals homozygous for leucine had an associated increased risk of HAM/TSP (odds ratio, 9.57), and proline was protective (odds ratio, 0.65). Both associations were independent of the known risk associated with proviral load. DRB1-GB-7-Leu was not significantly associated with proviral load. We have identified DRB1-GB-7-Leu as a genetic risk factor for HAM/TSP development independent of proviral load. This suggests that the amino acid residue may serve as a specific marker to identify the risk of HAM/TSP even without knowledge of proviral load. In light of its allele frequency worldwide, this biomarker will likely prove useful in HTLV-1 endemic areas across the globe.
Collapse
|
13
|
Giannico F, Massari S, Caputi Jambrenghi A, Soriano A, Pala A, Linguiti G, Ciccarese S, Antonacci R. The expansion of the TRB and TRG genes in domestic goats (Capra hircus) is characteristic of the ruminant species. BMC Genomics 2020; 21:623. [PMID: 32912163 PMCID: PMC7488459 DOI: 10.1186/s12864-020-07022-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Goats (Capra hircus), one of the first domesticated species, are economically important for milk and meat production, and their broad geographical distribution reflects their successful adaptation to diverse environmental conditions. Despite the relevance of this species, the genetic research on the goat traits is limited compared to other domestic species. Thanks to the latest goat reference genomic sequence (ARS1), which is considered to be one of the most continuous assemblies in livestock, we deduced the genomic structure of the T cell receptor beta (TRB) and gamma (TRG) loci in this ruminant species. RESULTS Our analyses revealed that although the organization of the goat TRB locus is broadly similar to that of the other artiodactyl species, with three in-tandem D-J-C clusters located at the 3' end, a complex and extensive series of duplications have occurred in the V genes at the 5' end, leading to a marked expansion in the number of the TRBV genes. This phenomenon appears to be a feature of the ruminant lineage since similar gene expansions have also occurred in sheep and cattle. Likewise, the general organization of the goat TRG genes is typical of ruminant species studied so far, with two paralogous TRG loci, TRG1 and TRG2, located in two distinct and distant positions on the same chromosome as result of a split in the ancestral locus. Each TRG locus consists of reiterated V-J-J-C cassettes, with the goat TRG2 containing an additional cassette relative to the corresponding sheep and cattle loci. CONCLUSIONS Taken together, these findings demonstrate that strong evolutionary pressures in the ruminant lineage have selected for the development of enlarged sets of TRB and TRG genes that contribute to a diverse T cell receptor repertoire. However, differences observed among the goat, sheep and cattle TRB and TRG genes indicate that distinct evolutionary histories, with independent expansions and/or contractions, have also affected each ruminant species.
Collapse
Affiliation(s)
- Francesco Giannico
- Department of Veterinary Medicine, University of Bari "Aldo Moro", Bari, Italy
| | - Serafina Massari
- Department of Biological and Environmental Science and Technologies, University of Salento, Lecce, Italy
| | - Anna Caputi Jambrenghi
- Department of Agricultural and Environmental Science, University of Bari "Aldo Moro", Bari, Italy
| | - Adriano Soriano
- Department of Biology, University of Bari "Aldo Moro", 70124, Bari, Italy
| | - Angela Pala
- Department of Biology, University of Bari "Aldo Moro", 70124, Bari, Italy
| | - Giovanna Linguiti
- Department of Biology, University of Bari "Aldo Moro", 70124, Bari, Italy
| | | | - Rachele Antonacci
- Department of Biology, University of Bari "Aldo Moro", 70124, Bari, Italy.
| |
Collapse
|
14
|
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.
Collapse
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
| |
Collapse
|
15
|
Antonacci R, Massari S, Linguiti G, Caputi Jambrenghi A, Giannico F, Lefranc MP, Ciccarese S. Evolution of the T-Cell Receptor (TR) Loci in the Adaptive Immune Response: The Tale of the TRG Locus in Mammals. Genes (Basel) 2020; 11:E624. [PMID: 32517024 PMCID: PMC7349638 DOI: 10.3390/genes11060624] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/28/2020] [Accepted: 06/02/2020] [Indexed: 12/16/2022] Open
Abstract
T lymphocytes are the principal actors of vertebrates' cell-mediated immunity. Like B cells, they can recognize an unlimited number of foreign molecules through their antigen-specific heterodimer receptors (TRs), which consist of αβ or γδ chains. The diversity of the TRs is mainly due to the unique organization of the genes encoding the α, β, γ, and δ chains. For each chain, multi-gene families are arranged in a TR locus, and their expression is guaranteed by the somatic recombination process. A great plasticity of the gene organization within the TR loci exists among species. Marked structural differences affect the TR γ (TRG) locus. The recent sequencing of multiple whole genome provides an opportunity to examine the TR gene repertoire in a systematic and consistent fashion. In this review, we report the most recent findings on the genomic organization of TRG loci in mammalian species in order to show differences and similarities. The comparison revealed remarkable diversification of both the genomic organization and gene repertoire across species, but also unexpected evolutionary conservation, which highlights the important role of the T cells in the immune response.
Collapse
Affiliation(s)
- Rachele Antonacci
- Department of Biology, University of Bari “Aldo Moro”, 70124 Bari, Italy; (G.L.); (S.C.)
| | - Serafina Massari
- Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy;
| | - Giovanna Linguiti
- Department of Biology, University of Bari “Aldo Moro”, 70124 Bari, Italy; (G.L.); (S.C.)
| | - Anna Caputi Jambrenghi
- Department of Agricultural and Environmental Science, University of Bari “Aldo Moro”, 70124 Bari, Italy; (A.C.J.); (F.G.)
| | - Francesco Giannico
- Department of Agricultural and Environmental Science, University of Bari “Aldo Moro”, 70124 Bari, Italy; (A.C.J.); (F.G.)
| | - Marie-Paule Lefranc
- IMGT, the International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR9002 CNRS, Université de Montpellier, CEDEX 5, 34396 Montpellier, France;
| | - Salvatrice Ciccarese
- Department of Biology, University of Bari “Aldo Moro”, 70124 Bari, Italy; (G.L.); (S.C.)
| |
Collapse
|
16
|
Kawaguchi S, Matsuda F. High-Definition Genomic Analysis of HLA Genes Via Comprehensive HLA Allele Genotyping. Methods Mol Biol 2020; 2131:31-38. [PMID: 32162249 DOI: 10.1007/978-1-0716-0389-5_3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
HLA is essential for various medical applications, such as genomic studies of multifactorial diseases, including immune system and inflammation-related disorders. Therefore, an accurate HLA typing method that is applicable for any allele registered in HLA allele databases is required to deduce scientific evidence related to disorders. Here, we describe a method for determining HLA alleles from next-generation sequencing (NGS) results by using currently available HLA sequence data in public HLA databases and show its application in association analysis.
Collapse
Affiliation(s)
- Shuji Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| |
Collapse
|
17
|
Mahajan S, Yan Z, Jespersen MC, Jensen KK, Marcatili P, Nielsen M, Sette A, Peters B. Benchmark datasets of immune receptor-epitope structural complexes. BMC Bioinformatics 2019; 20:490. [PMID: 31601176 PMCID: PMC6785892 DOI: 10.1186/s12859-019-3109-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 09/20/2019] [Indexed: 02/05/2023] Open
Abstract
Background The development of accurate epitope prediction tools is important in facilitating disease diagnostics, treatment and vaccine development. The advent of new approaches making use of antibody and TCR sequence information to predict receptor-specific epitopes have the potential to transform the epitope prediction field. Development and validation of these new generation of epitope prediction methods would benefit from regularly updated high-quality receptor-antigen complex datasets. Results To address the need for high-quality datasets to benchmark performance of these new generation of receptor-specific epitope prediction tools, a webserver called SCEptRe (Structural Complexes of Epitope-Receptor) was created. SCEptRe extracts weekly updated 3D complexes of antibody-antigen, TCR-pMHC and MHC-ligand from the Immune Epitope Database and clusters them based on antigen, receptor and epitope features to generate benchmark datasets. SCEptRe also provides annotated information such as CDR sequences and VDJ genes on the receptors. Users can generate custom datasets based by selecting thresholds for structural quality and clustering parameters (e.g. resolution, R-free factor, antigen or epitope sequence identity) based on their need. Conclusions SCEptRe provides weekly updated, user-customized comprehensive benchmark datasets of immune receptor-epitope structural complexes. These datasets can be used to develop and benchmark performance of receptor-specific epitope prediction tools in the future. SCEptRe is freely accessible at http://tools.iedb.org/sceptre.
Collapse
Affiliation(s)
- Swapnil Mahajan
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.
| | - Zhen Yan
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA
| | | | | | - Paolo Marcatili
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Morten Nielsen
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.,Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina
| | - Alessandro Sette
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Department of Medicine, University of California, San Diego, CA, 92093, USA
| | - Bjoern Peters
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Department of Medicine, University of California, San Diego, CA, 92093, USA
| |
Collapse
|
18
|
Terao C, Ota M, Iwasaki T, Shiokawa M, Kawaguchi S, Kuriyama K, Kawaguchi T, Kodama Y, Yamaguchi I, Uchida K, Higasa K, Yamamoto M, Kubota K, Yazumi S, Hirano K, Masaki Y, Maguchi H, Origuchi T, Matsui S, Nakazawa T, Shiomi H, Kamisawa T, Hasebe O, Iwasaki E, Inui K, Tanaka Y, Ohshima KI, Akamizu T, Nakamura S, Nakamura S, Saeki T, Umehara H, Shimosegawa T, Mizuno N, Kawano M, Azumi A, Takahashi H, Mimori T, Kamatani Y, Okazaki K, Chiba T, Kawa S, Matsuda F. IgG4-related disease in the Japanese population: a genome-wide association study. THE LANCET. RHEUMATOLOGY 2019; 1:e14-e22. [PMID: 38229354 DOI: 10.1016/s2665-9913(19)30006-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 05/29/2019] [Accepted: 05/30/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND IgG4-related disease is a newly recognised immunopathological entity that includes autoimmune pancreatitis, IgG4-related sialadenitis, and IgG4-related kidney disease. To understand the genetic landscape of IgG4-related disease, we did a genome-wide association study. METHODS We did a genome-wide association study of Japanese individuals, initially screening 857 patients with IgG4-related disease at 50 Japanese research institutions and DNA samples from 2082 healthy control participants from the Nagahama Prospective Genome Cohort for the Comprehensive Human Bioscience. From Oct 27, 2008, to July 22, 2014, we enrolled 835 patients and used data from 1789 healthy participants. Only patients with confirmed diagnosis of IgG4-related disease according to the international diagnostic criteria were included. Genotyping was done with the Infinium HumanOmni5Exome, HumanOmni2.5Exome, or HumanOmni2.5 Illumina arrays, and genomic distributions were compared between case and control samples for 958 440 single nucleotide polymorphisms. The HLA region was extensively analysed using imputation of HLA alleles and aminoacid residues. Fine mapping of the FCGR2B region was also done. Associations between clinical manifestations of disease and the genetic variations identified in these two genes were examined. FINDINGS We identified the HLA-DRB1 (p=1·1×10-11) and FCGR2B (p=2·0×10-8) regions as susceptibility loci for IgG4-related disease. We also identified crucial aminoacid residues in the β domain of the peptide-binding groove of HLA-DRB1, in which the seventh aminoacid residue showed the strongest association signal with IgG4-related disease (p=1·7×10-14), as has been reported with other autoimmune diseases. rs1340976 in FCGR2B showed an association with increased FCGR2B expression (p=2·7×10-10) and was in weak linkage disequilibrium with rs1050501, a missense variant of FCGR2B previously associated with systemic lupus erythematosus. Furthermore, rs1340976 was associated with the number of swollen organs at diagnosis (p=0·011) and IgG4 concentration at diagnosis (p=0·035). INTERPRETATION Two susceptibility loci for IgG4-related disease were identified. Both FCGR2B and HLA loci might have important roles in IgG4-related disease development. Common molecular mechanisms might underlie IgG4-related disease and other immune-related disorders FUNDING: The Japanese Ministry of Health, Labour, and Welfare, the Japanese Agency of Medical Research and Development, and Kyoto University Grant for Top Global University Japan Project.
Collapse
Affiliation(s)
- Chikashi Terao
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masao Ota
- Department of Internal Medicine 2, School of Medicine, Shinshu University, Matsumoto, Japan
| | - Takeshi Iwasaki
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan
| | - Masahiro Shiokawa
- Department of Gastroenterology and Hepatology, Kyoto University, Kyoto, Japan
| | - Shuji Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Katsutoshi Kuriyama
- Department of Gastroenterology and Hepatology, Kyoto University, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuzo Kodama
- Department of Gastroenterology and Hepatology, Kyoto University, Kyoto, Japan
| | - Izumi Yamaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazushige Uchida
- Department of Gastroenterology and Hepatology Kansai Medical University, Hirakata, Japan
| | - Koichiro Higasa
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Motohisa Yamamoto
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Kensuke Kubota
- Department of Endoscopy, Yokohama City University Hospital, Yokohama, Japan
| | - Shujiro Yazumi
- Department of Gastroenterology and Hepatology, Kitano Hospital, Osaka, Japan
| | - Kenji Hirano
- Department of Gastroenterology, Tokyo Takanawa Hospital, Tokyo, Japan
| | - Yasufumi Masaki
- Department of Hematology and Immunology, Kanazawa Medical University, Uchinada, Japan
| | - Hiroyuki Maguchi
- Center for Gastroenterology, Teine-Keijinkai Hospital, Sapporo, Japan
| | - Tomoki Origuchi
- Department of Immunology and Rheumatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Shoko Matsui
- Center for Health Care and Human Sciences, University of Toyama, Toyama, Japan
| | - Takahiro Nakazawa
- Department of Gastroenterology and Metabolism, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Hideyuki Shiomi
- Department of Gastroenterology, Kobe University Hospital, Kobe, Japan
| | - Terumi Kamisawa
- Department of Internal Medicine, Tokyo Metropolitan Komagome Hospital, Tokyo, Japan
| | - Osamu Hasebe
- Department of Gastroenterology, Nagano Municipal Hospital, Tomitake, Japan
| | - Eisuke Iwasaki
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kazuo Inui
- Department of Gastroenterology, Second Teaching Hospital, Fujita Health University, Toyoake, Japan
| | - Yoshiya Tanaka
- First Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Koh-Ichi Ohshima
- Department of Ophthalmology, National Hospital Organization Okayama Medical Center, Okayama, Japan
| | - Takashi Akamizu
- First Department of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Shigeo Nakamura
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Seiji Nakamura
- Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Takako Saeki
- Department of Internal Medicine, Nagaoka Red Cross Hospital, Nagaoka, Japan
| | - Hisanori Umehara
- Division of Rheumatology and Immunology, Nagahama City Hospital, Nagahama, Japan
| | - Tooru Shimosegawa
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobumasa Mizuno
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Mitsuhiro Kawano
- Department of Rheumatology, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Atsushi Azumi
- Department of Ophthalmology, Kobe Kaisei Hospital, Kobe, Japan
| | - Hiroki Takahashi
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan
| | - Yoichiro Kamatani
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuichi Okazaki
- Department of Gastroenterology and Hepatology Kansai Medical University, Hirakata, Japan
| | - Tsutomu Chiba
- Department of Gastroenterology and Hepatology, Kyoto University, Kyoto, Japan
| | - Shigeyuki Kawa
- Center for Health Safety and Environmental Management, Shinshu University, Matsumoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| |
Collapse
|
19
|
Leem J, de Oliveira SHP, Krawczyk K, Deane CM. STCRDab: the structural T-cell receptor database. Nucleic Acids Res 2019; 46:D406-D412. [PMID: 29087479 PMCID: PMC5753249 DOI: 10.1093/nar/gkx971] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 10/09/2017] [Indexed: 01/16/2023] Open
Abstract
The Structural T–cell Receptor Database (STCRDab; http://opig.stats.ox.ac.uk/webapps/stcrdab) is an online resource that automatically collects and curates TCR structural data from the Protein Data Bank. For each entry, the database provides annotations, such as the α/β or γ/δ chain pairings, major histocompatibility complex details, and where available, antigen binding affinities. In addition, the orientation between the variable domains and the canonical forms of the complementarity-determining region loops are also provided. Users can select, view, and download individual or bulk sets of structures based on these criteria. Where available, STCRDab also finds antibody structures that are similar to TCRs, helping users explore the relationship between TCRs and antibodies.
Collapse
Affiliation(s)
- Jinwoo Leem
- Department of Statistics, University of Oxford, 24-29 St Giles, Oxford, OX1 3LB, UK
| | | | - Konrad Krawczyk
- Department of Statistics, University of Oxford, 24-29 St Giles, Oxford, OX1 3LB, UK
| | - Charlotte M Deane
- Department of Statistics, University of Oxford, 24-29 St Giles, Oxford, OX1 3LB, UK
| |
Collapse
|
20
|
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.
Collapse
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.
| |
Collapse
|
21
|
Brehm MA, Kenney LL, Wiles MV, Low BE, Tisch RM, Burzenski L, Mueller C, Greiner DL, Shultz LD. Lack of acute xenogeneic graft- versus-host disease, but retention of T-cell function following engraftment of human peripheral blood mononuclear cells in NSG mice deficient in MHC class I and II expression. FASEB J 2019; 33:3137-3151. [PMID: 30383447 PMCID: PMC6404556 DOI: 10.1096/fj.201800636r] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 10/01/2018] [Indexed: 12/19/2022]
Abstract
Immunodeficient mice engrafted with human peripheral blood mononuclear cells (PBMCs) support preclinical studies of human pathogens, allograft rejection, and human T-cell function. However, a major limitation of PBMC engraftment is development of acute xenogeneic graft- versus-host disease (GVHD) due to human T-cell recognition of murine major histocompatibility complex (MHC). To address this, we created 2 NOD- scid IL-2 receptor subunit γ ( IL2rg) null (NSG) strains that lack murine MHC class I and II [NSG-β-2-microglobulin ( B2M) null ( IA IE)null and NSG -( Kb Db) null ( IAnull)]. We observed rapid human IgG clearance in NSG- B2Mnull ( IA IE) null mice whereas clearance in NSG -( Kb Db) null ( IAnull) mice and NSG mice was comparable. Injection of human PBMCs into both strains enabled long-term engraftment of human CD4+ and CD8+ T cells without acute GVHD. Engrafted human T-cell function was documented by rejection of human islet allografts. Administration of human IL-2 to NSG -( Kb Db) null ( IAnull) mice via adeno-associated virus vector increased human CD45+ cell engraftment, including an increase in human regulatory T cells. However, high IL-2 levels also induced the development of GVHD. These data document that NSG mice deficient in murine MHC support studies of human immunity in the absence of acute GVHD and enable evaluation of human antibody therapeutics targeting human T cells.-Brehm, M. A., Kenney, L. L., Wiles, M. V., Low, B. E., Tisch, R. M., Burzenski, L., Mueller, C., Greiner, D. L., Shultz, L. D. Lack of acute xenogeneic graft- versus-host disease, but retention of T-cell function following engraftment of human peripheral blood mononuclear cells in NSG mice deficient in MHC class I and II expression.
Collapse
Affiliation(s)
- Michael A. Brehm
- Diabetes Center of Excellence University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Laurie L. Kenney
- Diabetes Center of Excellence University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | | | | | - Roland M. Tisch
- Department of Immunology and Microbiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; and
| | | | - Christian Mueller
- Department of Pediatrics and Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Dale L. Greiner
- Diabetes Center of Excellence University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | | |
Collapse
|
22
|
Mahajan S, Vita R, Shackelford D, Lane J, Schulten V, Zarebski L, Jespersen MC, Marcatili P, Nielsen M, Sette A, Peters B. Epitope Specific Antibodies and T Cell Receptors in the Immune Epitope Database. Front Immunol 2018; 9:2688. [PMID: 30515166 PMCID: PMC6255941 DOI: 10.3389/fimmu.2018.02688] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 10/31/2018] [Indexed: 11/13/2022] Open
Abstract
The Immune Epitope Database (IEDB) is a free public resource which catalogs experiments characterizing immune epitopes. To accommodate data from next generation repertoire sequencing experiments, we recently updated how we capture and query epitope specific antibodies and T cell receptors. Specifically, we are now storing partial receptor sequences sufficient to determine CDRs and VDJ gene usage which are commonly identified by repertoire sequencing. For previously captured full length receptor sequencing data, we have calculated the corresponding CDR sequences and gene usage information using IMGT numbering and VDJ gene nomenclature format. To integrate information from receptors defined at different levels of resolution, we grouped receptors based on their host species, receptor type and CDR3 sequence. As of August 2018, we have cataloged sequence information for more than 22,510 receptors in 18,292 receptor groups, shown to bind to more than 2,241 distinct epitopes. These data are accessible as full exports and through a new dedicated query interface. The later combines the new ability to search by receptor characteristics with previously existing capability to search by epitope characteristics such as the infectious agent the epitope is derived from, or the kind of immune response involved in its recognition. We expect that this comprehensive capture of epitope specific immune receptor information will provide new insights into receptor-epitope interactions, and facilitate the development of novel tools that help in the analysis of receptor repertoire data.
Collapse
Affiliation(s)
- Swapnil Mahajan
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Randi Vita
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Deborah Shackelford
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Jerome Lane
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Veronique Schulten
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Laura Zarebski
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Martin Closter Jespersen
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Paolo Marcatili
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Morten Nielsen
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.,Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina
| | - Alessandro Sette
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.,University of California San Diego, La Jolla, CA, United States
| | - Bjoern Peters
- Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.,University of California San Diego, La Jolla, CA, United States
| |
Collapse
|
23
|
Kyeong HH, Choi Y, Kim HS. GradDock: rapid simulation and tailored ranking functions for peptide-MHC Class I docking. Bioinformatics 2018; 34:469-476. [PMID: 28968726 DOI: 10.1093/bioinformatics/btx589] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Accepted: 09/15/2017] [Indexed: 01/16/2023] Open
Abstract
Motivation The identification of T-cell epitopes has many profound translational applications in the areas of transplantation, disease diagnosis, vaccine/therapeutic protein development and personalized immunotherapy. While data-driven methods have been widely used for the prediction of peptide binders with notable successes, the structural modeling of peptide binding to MHC molecules is crucial for understanding the underlying molecular mechanism of the immunological processes. Results We developed GradDock, a structure-based method for the rapid and accurate modeling of peptide binding to MHC Class I (pMHC-I). GradDock explicitly models diverse unbound peptides in vacuo and inserts them into the MHC-I groove through a steered gradient descent with a topological correction process. The simulation process yields diverse structural conformations including native-like peptides. We completely revised the Rosetta score terms and developed a new ranking function specifically for pMHC-I. Using the diverse peptides, a linear programming approach is applied to find the optimal weights for the individual Rosetta score terms. Our examination revealed that a refinement of the dihedral angles and a modification of the repulsion can dramatically improve the modeling quality. GradDock is five-times faster than a Rosetta-based docking approach for pMHC-I. We also demonstrate that the predictive capability of GradDock with the re-weighted Rosetta ranking function is consistently more accurate than the Rosetta-based method with the standard Rosetta score (approximately three-times better for a cross-docking set). Availability and implementation GradDock is freely available for academic purposes. The program and the ranking score weights for Rosetta are available at http://bel.kaist.ac.kr/research/GradDock. Contact hskim76@kaist.ac.kr. Supplementary information Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Hyun-Ho Kyeong
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Yoonjoo Choi
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Hak-Sung Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| |
Collapse
|
24
|
Olivieri DN, Gambón Deza F. Immunoglobulin genes in Primates. Mol Immunol 2018; 101:353-363. [PMID: 30036801 DOI: 10.1016/j.molimm.2018.07.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 07/10/2018] [Accepted: 07/12/2018] [Indexed: 11/27/2022]
Abstract
Five classes of immunoglobulins are known to exist in mammals. The number of isotypes of classes G, E and A varies among species for unknown reasons. Here, a study of the presence of immunoglobulin genes in Primates was carried out from the genomes and transcriptomes deposited in the NCBI repository. For this, a machine learning application based upon neural networks was implemented that scans the genomes and identifies the exon sequences that encode the immunoglobulin CH domains. From these exons, the immunoglobulins that each species possess can be inferred. Also, the presence of sequences outside the IGHC locus was found which were produced by retrotranscription of RNA that are probably not viable. From this study, the distribution of immunoglobulin genes across primate orders is described in detail. In Prosimians, IgD genes are not found; in Platyrrhines, a gene is identified for each of the immunoglobulin classes but the IgD gene does not have the CH2 exon; in the Cercopithecidae family, a gene is detected for each class in the Colobinae family, while in Cercopithecidae the genes for IgG have been duplicated several times. In hominids, a greater number of duplications that include the genes that code for IgA and IgE are observed. These results indicate that from the appearance of the Cercopithecidae, there is an evolutionary instability in the Ig locus.
Collapse
Affiliation(s)
- David N Olivieri
- School of Computer Science, University of Vigo, Ourense 32004, Spain.
| | | |
Collapse
|
25
|
Lazarte J, Adamson MB, Tumiati LC, Delgado DH. 10-Year Experience with HLA-G in Heart Transplantation. Hum Immunol 2018; 79:587-593. [PMID: 29859206 DOI: 10.1016/j.humimm.2018.05.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 05/19/2018] [Accepted: 05/21/2018] [Indexed: 11/19/2022]
Abstract
The Human Leukocyte Antigen-G (HLA-G) is a MHC-class Ib molecule with robust immunomodulatory properties; in transplant, it inhibits cytotoxic activity of immune cells and thus has a pivotal role in protecting the allograft from immune attack. The present review details a 10-year experience investigating the influence of HLA-G on heart transplantation, allograft rejection and cardiac allograft vasculopathy development. Exploration of HLA-G in transplantation began with the initial findings of its increased expression in allograft hearts. Since then, HLA-G has been recognized as an important factor in transplant immunology. We discuss inducers of HLA-G expression, and the importance of HLA-G as a potential biomarker in allograft rejection and heart failure. We also highlight the importance of polymorphisms and how they may influence both HLA-G expression and clinical outcomes. There remains much to be done in this field, however we hope that findings from our group and other groups will ignite interest and facilitate further expansion of HLA-G research in transplantation.
Collapse
Affiliation(s)
- Julieta Lazarte
- Departments of Medicine, Schulich School of Medicine, Western University, London, Ontario, Canada.
| | - Mitchell B Adamson
- Department of Medicine, Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Laura C Tumiati
- Department of Cardiovascular Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Diego H Delgado
- Department of Cardiology, Hear Failure and Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| |
Collapse
|
26
|
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.
Collapse
|
27
|
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: 14] [Impact Index Per Article: 2.0] [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.
Collapse
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.
| |
Collapse
|
28
|
Restricting nonclassical MHC genes coevolve with TRAV genes used by innate-like T cells in mammals. Proc Natl Acad Sci U S A 2016; 113:E2983-92. [PMID: 27170188 DOI: 10.1073/pnas.1600674113] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Whereas major histocompatibility class-1 (MH1) proteins present peptides to T cells displaying a large T-cell receptor (TR) repertoire, MH1Like proteins, such as CD1D and MR1, present glycolipids and microbial riboflavin precursor derivatives, respectively, to T cells expressing invariant TR-α (iTRA) chains. The groove of such MH1Like, as well as iTRA chains used by mucosal-associated invariant T (MAIT) and natural killer T (NKT) cells, respectively, may result from a coevolution under particular selection pressures. Herein, we investigated the evolutionary patterns of the iTRA of MAIT and NKT cells and restricting MH1Like proteins: MR1 appeared 170 Mya and is highly conserved across mammals, evolving more slowly than other MH1Like. It has been pseudogenized or independently lost three times in carnivores, the armadillo, and lagomorphs. The corresponding TRAV1 gene also evolved slowly and harbors highly conserved complementarity determining regions 1 and 2. TRAV1 is absent exclusively from species in which MR1 is lacking, suggesting that its loss released the purifying selection on MR1. In the rabbit, which has very few NKT and no MAIT cells, a previously unrecognized iTRA was identified by sequencing leukocyte RNA. This iTRA uses TRAV41, which is highly conserved across several groups of mammals. A rabbit MH1Like gene was found that appeared with mammals and is highly conserved. It was independently lost in a few groups in which MR1 is present, like primates and Muridae, illustrating compensatory emergences of new MH1Like/Invariant T-cell combinations during evolution. Deciphering their role is warranted to search similar effector functions in humans.
Collapse
|
29
|
Aureli A, Oumhani K, Del Beato T, El Aouad R, Piancatelli D. CD1A, D and E gene polymorphisms in a North African population from Morocco. Hum Immunol 2016; 77:566-70. [PMID: 27156638 DOI: 10.1016/j.humimm.2016.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 05/04/2016] [Accepted: 05/04/2016] [Indexed: 12/13/2022]
Abstract
CD1 molecules are specialized in capturing and presenting lipids and glycolipids to distinct subsets of T and NKT cells. Glycolipid presentation could play a significant role in the immune response against microbial infections. There are five closely linked CD1 genes in humans, named CD1A, B, C, D, and E, which all show a limited polymorphism. In this study, exon 2 polymorphisms of CD1A, CD1D and CD1E were investigated and allele, genotype and haplotype frequencies of these loci were reported in a Moroccan population. A comparison with allele, genotype and haplotype frequencies observed in other geographic areas was also performed. Results confirmed the presence of ethnic differences in CD1 polymorphism, mainly in CD1D (in this population two additional CD1D variant alleles, CD1D(∗)03 and CD1D(∗)04, were described) and E genes. These data could be useful to evaluate a possible pathogenetic role of CD1 in diseases. Increasing the knowledge in this field may offer possibilities for the development of new immunotherapeutic approaches.
Collapse
Affiliation(s)
- Anna Aureli
- CNR Institute of Translational Pharmacology, UOS L'Aquila, Italy
| | - Khadija Oumhani
- Laboratoire d'Immunologie, Institut National D'Hygiene, Rabat, Morocco
| | | | - Rajae El Aouad
- Hassan II Academy of Science and Technology, Rabat, Morocco
| | | |
Collapse
|
30
|
Aureli A, Oumhani K, Del Beato T, Di Rocco M, Tessitore A, El Aouad R, Piancatelli D. Increased CD1D polymorphism: identification of two novel alleles, CD1D*03 and *04, in individuals from Morocco. Int J Immunogenet 2015; 42:287-91. [PMID: 26041373 DOI: 10.1111/iji.12210] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Revised: 05/04/2015] [Accepted: 05/08/2015] [Indexed: 12/26/2022]
Abstract
Two novel CD1D alleles were identified in unrelated individuals from Morocco. They differ each from the common CD1D*01 allele by one nucleotide substitution in exon 2 resulting in one amino acid change in the G-ALPHA1-LIKE domain. According to the IMGT unique numbering for G domain, CD1D*03 has one nucleotide transition c136 > t in codon 46, with an arginine-to-cysteine amino acid change (R46 > C) in the D-STRAND, whereas CD1D*04 has one transition c98 > t in codon 33, with a threonine-to-methionine amino acid change (T33 > M) in the C-STRAND. This suggests that CD1D is more polymorphic than previously assumed.
Collapse
Affiliation(s)
- A Aureli
- CNR, Institute of Translational Pharmacology (IFT), UOS L'Aquila, Italy
| | - K Oumhani
- Laboratoire d'Immunologie, Institut National d'Hygiene, Rabat, Morocco
| | - T Del Beato
- CNR, Institute of Translational Pharmacology (IFT), UOS L'Aquila, Italy
| | - M Di Rocco
- CNR, Institute of Translational Pharmacology (IFT), UOS L'Aquila, Italy
| | - A Tessitore
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - R El Aouad
- Laboratoire d'Immunologie, Institut National d'Hygiene, Rabat, Morocco
| | - D Piancatelli
- CNR, Institute of Translational Pharmacology (IFT), UOS L'Aquila, Italy
| |
Collapse
|
31
|
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.
Collapse
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
| |
Collapse
|
32
|
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).
Collapse
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.
| |
Collapse
|
33
|
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.
Collapse
Affiliation(s)
- Eltaf Alamyar
- The International ImMunoGenetics information system, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine IGH, Université Montpellier 2, Montpellier, France
| | | | | | | |
Collapse
|
34
|
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.
Collapse
|
35
|
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: 165] [Impact Index Per Article: 16.5] [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).
Collapse
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
| |
Collapse
|
36
|
Yin L, Hou W, Liu L, Cai Y, Wallet MA, Gardner BP, Chang K, Lowe AC, Rodriguez CA, Sriaroon P, Farmerie WG, Sleasman JW, Goodenow MM. IgM Repertoire Biodiversity is Reduced in HIV-1 Infection and Systemic Lupus Erythematosus. Front Immunol 2013; 4:373. [PMID: 24298273 PMCID: PMC3828670 DOI: 10.3389/fimmu.2013.00373] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Accepted: 10/30/2013] [Indexed: 12/25/2022] Open
Abstract
Background: HIV-1 infection or systemic lupus erythematosus (SLE) disrupt B cell homeostasis, reduce memory B cells, and impair function of IgG and IgM antibodies. Objective: To determine how disturbances in B cell populations producing polyclonal antibodies relate to the IgM repertoire, the IgM transcriptome in health and disease was explored at the complementarity determining region 3 (CDRH3) sequence level. Methods: 454-deep pyrosequencing in combination with a novel analysis pipeline was applied to define populations of IGHM CDRH3 sequences based on absence or presence of somatic hypermutations (SHM) in peripheral blood B cells. Results: HIV or SLE subjects have reduced biodiversity within their IGHM transcriptome compared to healthy subjects, mainly due to a significant decrease in the number of unique combinations of alleles, although recombination machinery was intact. While major differences between sequences without or with SHM occurred among all groups, IGHD and IGHJ allele use, CDRH3 length distribution, or generation of SHM were similar among study cohorts. Antiretroviral therapy failed to normalize IGHM biodiversity in HIV-infected individuals. All subjects had a low frequency of allelic combinations within the IGHM repertoire similar to known broadly neutralizing HIV-1 antibodies. Conclusion: Polyclonal expansion would decrease overall IgM biodiversity independent of other mechanisms for development of the B cell repertoire. Applying deep sequencing as a strategy to follow development of the IgM repertoire in health and disease provides a novel molecular assessment of multiple points along the B cell differentiation pathway that is highly sensitive for detecting perturbations within the repertoire at the population level.
Collapse
Affiliation(s)
- Li Yin
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, FL , USA ; Florida Center for AIDS Research, University of Florida , Gainesville, FL , USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
37
|
Eckle SBG, Rossjohn J, McCluskey J. Alloreactivity. Methods Mol Biol 2013; 1034:3-39. [PMID: 23775729 DOI: 10.1007/978-1-62703-493-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
The alloimmune response between individuals genetically disparate for antigens encoded within the major histocompatibility complex (MHC) remains a substantial barrier to transplantation of solid organs, tissues, and hematopoietic stem cells. Alloreactivity has been an immunological paradox because of its apparent contradiction to the requirement of MHC restriction for the induction of normal T lymphocyte mediated immune responses. Through crystallographic analyses and experimental systems utilizing murine CD8(+) cytolytic T cell clones, major advances have been achieved in understanding the molecular and structural basis of T cell receptor recognition of MHC-peptide complexes and the basis of T cell mediated alloreactivity. These studies have further provided an explanation for the relatively high frequencies of alloreactive T cells compared to the frequencies of T cells for microbial derived antigens.
Collapse
Affiliation(s)
- Sidonia B G Eckle
- Department of Microbiology & Immunology, University of Melbourne, Parkville, VIC, Australia
| | | | | |
Collapse
|
38
|
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.
Collapse
Affiliation(s)
- Dimitrios Vlachakis
- Bioinformatics & Medical Informatics Team, Biomedical Research Foundation, Academy of Athens, Soranou Efessiou 4, Athens 11527, Greece
| | | | | | | |
Collapse
|
39
|
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).
Collapse
|
40
|
Ehrenmann F, Lefranc MP. IMGT/DomainGapAlign: the IMGT® tool for the analysis of IG, TR, MH, IgSF, and MhSF domain amino acid polymorphism. Methods Mol Biol 2012; 882:605-33. [PMID: 22665257 DOI: 10.1007/978-1-61779-842-9_33] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
IMGT/DomainGapAlign is the online tool of IMGT(®), the international ImMunoGeneTics information system(®), for the analysis of amino acid sequences and two-dimensional (2D) structures of domains. IMGT/DomainGapAlign allows the analysis of the closest variable (V) and constant (C) domains of immunoglobulins (IG) or antibodies, T cell receptors (TR), and immunoglobulin superfamily (IgSF) proteins, and of the groove (G) domains of major histocompatibility (MH; in humans, HLA for human leukocyte antigen) and MH superfamily proteins. IMGT/DomainGapAlign aligns the user own sequences against the IMGT domain reference directory, displays amino acid changes, creates IMGT gaps, and delimits the domain strands and loops (and helix for G domain) according to the IMGT unique numbering. IMGT/DomainGapAlign is coupled to the IMGT/Collier-de-Perles tool that draws standardized IMGT Colliers de Perles. The analysis is based on the IMGT-ONTOLOGY concepts of identification, classification, description, and numerotation generated from the axioms of the Formal IMGT-ONTOLOGY or IMGT-Kaleidoscope. IMGT/DomainGapAlign provides an invaluable help for antibody engineering and antibody humanization as it precisely defines the standardized framework regions (FR-IMGT) and complementarity determining regions (CDR-IMGT) to be grafted. IMGT/DomainGapAlign is freely available at http://www.imgt.org.
Collapse
Affiliation(s)
- François Ehrenmann
- IMGT®, The International ImMunoGeneTics Information System®, Université Montpellier 2, Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UPR CNRS 1142, Montpellier, France
| | | |
Collapse
|
41
|
Thomas S, Klobuch S, Besold K, Plachter B, Dörrie J, Schaft N, Theobald M, Herr W. Strong and sustained effector function of memory- versus naïve-derived T cells upon T-cell receptor RNA transfer: Implications for cellular therapy. Eur J Immunol 2012; 42:3442-53. [DOI: 10.1002/eji.201242666] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Revised: 07/19/2012] [Accepted: 08/24/2012] [Indexed: 01/01/2023]
Affiliation(s)
- Simone Thomas
- Department of Medicine III; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| | - Sebastian Klobuch
- Department of Medicine III; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| | - Katrin Besold
- Institute of Virology; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| | - Bodo Plachter
- Institute of Virology; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| | - Jan Dörrie
- Department of Dermatology; Universitätsklinikum Erlangen; Erlangen Germany
| | - Niels Schaft
- Department of Dermatology; Universitätsklinikum Erlangen; Erlangen Germany
| | - Matthias Theobald
- Department of Medicine III; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| | - Wolfgang Herr
- Department of Medicine III; University Medical Center of Johannes Gutenberg-University Mainz; Mainz Germany
| |
Collapse
|
42
|
Hischenhuber B, Frommlet F, Schreiner W, Knapp B. MH 2c: Characterization of major histocompatibility α-helices - an information criterion approach. COMPUTER PHYSICS COMMUNICATIONS 2012; 183:1481-1490. [PMID: 23564964 PMCID: PMC3617674 DOI: 10.1016/j.cpc.2012.02.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2011] [Revised: 01/20/2012] [Accepted: 02/02/2012] [Indexed: 06/02/2023]
Abstract
UNLABELLED Major histocompatibility proteins share a common overall structure or peptide binding groove. Two binding groove domains, on the same chain for major histocompatibility class I or on two different chains for major histocompatibility class II, contribute to that structure that consists of two α-helices ("wall") and a sheet of eight anti-parallel beta strands ("floor"). Apart from the peptide presented in the groove, the major histocompatibility α-helices play a central role for the interaction with the T cell receptor. This study presents a generalized mathematical approach for the characterization of these helices. We employed polynomials of degree 1 to 7 and splines with 1 to 2 nodes based on polynomials of degree 1 to 7 on the α-helices projected on their principal components. We evaluated all models with a corrected Akaike Information Criterion to determine which model represents the α-helices in the best way without overfitting the data. This method is applicable for both the stationary and the dynamic characterization of α-helices. By deriving differential geometric parameters from these models one obtains a reliable method to characterize and compare α-helices for a broad range of applications. PROGRAM SUMMARY Program title: MH2c (MH helix curves) Catalogue identifier: AELX_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AELX_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 327 565 No. of bytes in distributed program, including test data, etc.: 17 433 656 Distribution format: tar.gz Programming language: Matlab Computer: Personal computer architectures Operating system: Windows, Linux, Mac (all systems on which Matlab can be installed) RAM: Depends on the trajectory size, min. 1 GB (Matlab) Classification: 2.1, 4.9, 4.14 External routines: Curve Fitting Toolbox and Statistic Toolbox of Matlab Nature of problem: Major histocompatibility (MH) proteins share a similar overall structure. However, identical MH alleles which present different peptides differ by subtle conformational alterations. One hypothesis is that such conformational differences could be another level of T cell regulation. By this software package we present a reliable and systematic way to compare different MH structures to each other. Solution method: We tested several fitting approaches on all available experimental crystal structures of MH to obtain an overall picture of how to describe MH helices. For this purpose we transformed all complexes into the same space and applied splines and polynomials of several degrees to them. To draw a general conclusion which method fits them best we employed the "corrected Akaike Information Criterion". The software is applicable for all kinds of helices of biomolecules. Running time: Depends on the data, for a single stationary structure the runtime should not exceed a few seconds.
Collapse
Key Words
- AIC, Akaike Information Criterion
- Akaike Information Criterion
- CDR, complementarity determining region
- Conformational changes
- G, binding groove
- Helix
- IMGT®, the international ImMunoGeneTics information system®
- MD, Molecular Dynamics
- MH
- MH, major histocompatibility
- MH1, major histocompatibility class I
- MH2, major histocompatibility class II
- MH2c, MH helix curves (name of software)
- MHC
- Minimization and fitting
- Molecular dynamics simulation
- PC, principal component
- PCA, Principal Component Analysis
- PDB, Protein Data Bank
- Proteins
- Secondary structure
- Structure and properties
- TR, T cell receptor
- Theory, modeling, and computer simulation
- Utility
- VMD, Visual Molecular Dynamics
- cAIC, corrected Akaike Information Criterion
- p, peptide
Collapse
Affiliation(s)
- B. Hischenhuber
- Center for Medical Statistics, Informatics, and Intelligent Systems; Section for Biosimulation and Bioinformatics, Medical University of Vienna, Austria
| | - F. Frommlet
- Center for Medical Statistics, Informatics, and Intelligent Systems; Section for Medical Statistics, Medical University of Vienna, Austria
| | - W. Schreiner
- Center for Medical Statistics, Informatics, and Intelligent Systems; Section for Biosimulation and Bioinformatics, Medical University of Vienna, Austria
| | - B. Knapp
- Center for Medical Statistics, Informatics, and Intelligent Systems; Section for Biosimulation and Bioinformatics, Medical University of Vienna, Austria
| |
Collapse
|
43
|
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).
Collapse
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
| | | |
Collapse
|
44
|
Zhang S, Liu J, Cheng H, Tan S, Qi J, Yan J, Gao GF. Structural basis of cross-allele presentation by HLA-A*0301 and HLA-A*1101 revealed by two HIV-derived peptide complexes. Mol Immunol 2011; 49:395-401. [DOI: 10.1016/j.molimm.2011.08.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Revised: 08/20/2011] [Accepted: 08/21/2011] [Indexed: 11/27/2022]
|
45
|
Giudicelli V, Lefranc MP. IMGT/junctionanalysis: IMGT standardized analysis of the V-J and V-D-J junctions of the rearranged immunoglobulins (IG) and T cell receptors (TR). Cold Spring Harb Protoc 2011; 2011:716-725. [PMID: 21632777 DOI: 10.1101/pdb.prot5634] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
INTRODUCTIONIMGT/JunctionAnalysis is the online IMGT tool for the detailed and standardized analysis of the junctions between the variable (V), diversity (D), and joining (J) genes (V-J and V-D-J junctions) of the rearranged immunoglobulin (IG) or antibody and T cell receptor (TR) variable domains. The V-(D)-J junctions comprise the rearranged CDR3-IMGT and its anchors 2nd-CYS 104 and J-PHE or J-TRP 118. The diversity of the junctions that determines the antigen receptor specificity results from complex molecular mechanisms that occur at the DNA level during the IG and TR synthesis and create combinatorial diversity, N-diversity and, for IG, somatic hypermutations. The annotation of V-J or V-D-J junctions in rearranged IG and TR sequences represents a huge challenge due to its uniqueness and complexity. IMGT/JunctionAnalysis has been a major breakthrough by providing, for the first time, a very detailed and accurate analysis of the junctions. The tool, whose use is described here, identifies the D genes in the IGH, TRB, and TRD junctions, the trimmed nucleotides (nt) at the end of the genes which recombine, and the palindromic P regions in the absence of gene trimming. It delimits the N regions that result from the N-diversity, calculates the ratio of G+C nucleotides in the N regions, and evaluates the number of somatic hypermutations for each gene within the junction.
Collapse
Affiliation(s)
- Véronique Giudicelli
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France
| | | |
Collapse
|
46
|
Lefranc MP. IMGT Collier de Perles for the variable (V), constant (C), and groove (G) domains of IG, TR, MH, IgSF, and MhSF. Cold Spring Harb Protoc 2011; 2011:643-651. [PMID: 21632788 DOI: 10.1101/pdb.ip86] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
INTRODUCTIONThe “IMGT Collier de Perles” (or “IMGT_Collier_de_Perles”) concept is a major concept of numerotation (generated from the NUMEROTATION axiom) of IMGT-ONTOLOGY, the global reference in immunogenetics and immunoinformatics, built by IMGT, the international ImMunoGeneTics information system. The “IMGT Collier de Perles” concept, described here, allows standardized two-dimensional (2D) graphical representations of the domains, based on the IMGT unique numbering. Three leafconcepts (a leafconcept is a concept that corresponds to the finest level of granularity) have been defined: for the variable (V) domain and constant (C) domain of the immunoglobulin superfamily (IgSF) and for the groove (G) domain of the major histocompatibility (MH) superfamily (MhSF). IMGT Colliers de Perles are obtained, starting from V, C, or G domain amino acid sequences, using IMGT/DomainGapAlign and IMGT/Collier de Perles tools. In IMGT/3Dstructure-DB, IMGT Colliers de Perles of V and C domains are provided with hydrogen bonds and those of G domains with IMGT pMH contact analysis. IMGT Colliers de Perles allows one to bridge the gap between sequences and three-dimensional (3D) structures, whatever the species, the IgSF or MhSF protein, or the chain type. They are particularly useful for antibody engineering, sequence-structure analysis, visualization and comparison of positions for mutations, polymorphisms and contact analysis of immunoglobulins (IG), T cell receptors (TR), MH, and related proteins of the immune system (RPI) belonging to the IgSF and MhSF.
Collapse
Affiliation(s)
- Marie-Paule Lefranc
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France.
| |
Collapse
|
47
|
Lefranc MP. IMGT, the International ImMunoGeneTics Information System. Cold Spring Harb Protoc 2011; 2011:595-603. [PMID: 21632786 DOI: 10.1101/pdb.top115] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Marie-Paule Lefranc
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France.
| |
Collapse
|
48
|
Ehrenmann F, Lefranc MP. IMGT/DomainGapAlign: IMGT standardized analysis of amino acid sequences of variable, constant, and groove domains (IG, TR, MH, IgSF, MhSF). Cold Spring Harb Protoc 2011; 2011:737-49. [PMID: 21632775 DOI: 10.1101/pdb.prot5636] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- François Ehrenmann
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France
| | | |
Collapse
|
49
|
Lefranc MP. From IMGT-ONTOLOGY DESCRIPTION axiom to IMGT standardized labels: for immunoglobulin (IG) and T cell receptor (TR) sequences and structures. Cold Spring Harb Protoc 2011; 2011:614-26. [PMID: 21632791 DOI: 10.1101/pdb.ip83] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Marie-Paule Lefranc
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France.
| |
Collapse
|
50
|
Giudicelli V, Brochet X, Lefranc MP. IMGT/V-QUEST: IMGT standardized analysis of the immunoglobulin (IG) and T cell receptor (TR) nucleotide sequences. Cold Spring Harb Protoc 2011; 2011:695-715. [PMID: 21632778 DOI: 10.1101/pdb.prot5633] [Citation(s) in RCA: 199] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Véronique Giudicelli
- IMGT, international ImMunoGeneTics information system, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Université Montpellier 2, Institut de Génétique Humaine IGH, UPR CNRS 1142, 34396 Montpellier cedex 5, France
| | | | | |
Collapse
|