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Boudinot P, Novas S, Jouneau L, Mondot S, Lefranc MP, Grimholt U, Magadán S. Evolution of T cell receptor beta loci in salmonids. Front Immunol 2023; 14:1238321. [PMID: 37649482 PMCID: PMC10464911 DOI: 10.3389/fimmu.2023.1238321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 07/17/2023] [Indexed: 09/01/2023] Open
Abstract
T-cell mediated immunity relies on a vast array of antigen specific T cell receptors (TR). Characterizing the structure of TR loci is essential to study the diversity and composition of T cell responses in vertebrate species. The lack of good-quality genome assemblies, and the difficulty to perform a reliably mapping of multiple highly similar TR sequences, have hindered the study of these loci in non-model organisms. High-quality genome assemblies are now available for the two main genera of Salmonids, Salmo and Oncorhynchus. We present here a full description and annotation of the TRB loci located on chromosomes 19 and 25 of rainbow trout (Oncorhynchus mykiss). To get insight about variations of the structure and composition of TRB locus across salmonids, we compared rainbow trout TRB loci with other salmonid species and confirmed that the basic structure of salmonid TRB locus is a double set of two TRBV-D-J-C loci in opposite orientation on two different chromosomes. Our data shed light on the evolution of TRB loci in Salmonids after their whole genome duplication (WGD). We established a coherent nomenclature of salmonid TRB loci based on comprehensive annotation. Our work provides a fundamental basis for monitoring salmonid T cell responses by TRB repertoire sequencing.
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Affiliation(s)
- Pierre Boudinot
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France
| | - Samuel Novas
- Immunology Laboratory, Research Center for Nanomaterials and Biomedicine (CINBIO), Universidade de Vigo, Vigo, Spain
| | - Luc Jouneau
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
| | - Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System® (IMGT), Laboratoire d´ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), University of Montpellier, Montpellier, France
| | - Unni Grimholt
- Fish Health Research Section, Norwegian Veterinary Institute, Oslo, Norway
| | - Susana Magadán
- Immunology Laboratory, Research Center for Nanomaterials and Biomedicine (CINBIO), Universidade de Vigo, Vigo, Spain
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Lefranc MP, Lefranc G. Antibody Sequence and Structure Analyses Using IMGT ®: 30 Years of Immunoinformatics. Methods Mol Biol 2023; 2552:3-59. [PMID: 36346584 DOI: 10.1007/978-1-0716-2609-2_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org , the global reference in immunogenetics and immunoinformatics, was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR) of the adaptive immune responses. The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® standardized analysis of the IG, TR, and major histocompatibility (MH) genes and proteins bridges the gap between sequences and three-dimensional (3D) structures, for all jawed vertebrates from fish to humans. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY axioms, and primarily CLASSIFICATION (IMGT gene and allele nomenclature) and NUMEROTATION (IMGT unique numbering and IMGT Colliers de Perles). IMGT® comprises seven databases (IMGT/LIGM-DB for nucleotide sequences, IMGT/GENE-DB for genes and alleles, etc.), 17 tools (IMGT/V-QUEST, IMGT/JunctionAnalysis, IMGT/HighV-QUEST for NGS, etc.), and more than 20,000 Web resources. In this chapter, the focus is on the tools for amino acid sequences per domain (IMGT/DomainGapAlign and IMGT/Collier-de-Perles), and on the databases for receptors (IMGT/2Dstructure-DB and IMGT/3D-structure-DB) described per receptor, chain, and domain and, for 3D, with contact analysis, paratope, and epitope. The IMGT/mAb-DB is the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), composite proteins for clinical applications (CPCA), and related proteins of interest (RPI) with links to IMGT® 2D and 3D databases and to the World Health Organization (WHO) International Nonproprietary Names (INN) program lists. The chapter includes the human IG allotypes and antibody engineered variants for effector properties used in the description of therapeutical mAb.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
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Lefranc MP, Lefranc G. IMGT ® Nomenclature of Engineered IGHG Variants Involved in Antibody Effector Properties and Formats. Antibodies (Basel) 2022; 11:antib11040065. [PMID: 36278618 PMCID: PMC9624366 DOI: 10.3390/antib11040065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
The constant region of the immunoglobulin (IG) or antibody heavy gamma chain is frequently engineered to modify the effector properties of the therapeutic monoclonal antibodies. These variants are classified in regards to their effects on effector functions, antibody-dependent cytotoxicity (ADCC), antibody-dependent phagocytosis (ADCP), complement-dependent cytotoxicity (CDC) enhancement or reduction, B cell inhibition by the coengagement of antigen and FcγR on the same cell, on half-life increase, and/or on structure such as prevention of IgG4 half-IG exchange, hexamerisation, knobs-into-holes and the heteropairing H-H of bispecific antibodies, absence of disulfide bridge inter H-L, absence of glycosylation site, and site-specific drug attachment engineered cysteine. The IMGT engineered variant identifier is comprised of the species and gene name (and eventually allele), the letter ‘v’ followed by a number (assigned chronologically), and for each concerned domain (e.g, CH1, h, CH2 and CH3), the novel AA (single letter abbreviation) and IMGT position according to the IMGT unique numbering for the C-domain and between parentheses, the Eu numbering. IMGT engineered variants are described with detailed amino acid changes, visualized in motifs based on the IMGT numbering bridging genes, sequences, and structures for higher order description.
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Linguiti G, Tragni V, Pierri CL, Massari S, Lefranc MP, Antonacci R, Ciccarese S. 3D structures inferred from cDNA clones identify the CD1D-Restricted γδ T cell receptor in dromedaries. Front Immunol 2022; 13:928860. [PMID: 36016959 PMCID: PMC9396240 DOI: 10.3389/fimmu.2022.928860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
The Camelidae species occupy an important immunological niche within the humoral as well as cell mediated immune response. Although recent studies have highlighted that the somatic hypermutation (SHM) shapes the T cell receptor gamma (TRG) and delta (TRD) repertoire in Camelus dromedarius, it is still unclear how γδ T cells use the TRG/TRD receptors and their respective variable V-GAMMA and V-DELTA domains to recognize antigen in an antibody-like fashion. Here we report about 3D structural analyses of the human and dromedary γδ T cell receptor. First, we have estimated the interaction energies at the interface within the human crystallized paired TRG/TRD chains and quantified interaction energies within the same human TRG/TRD chains in complex with the CD1D, an RPI-MH1-LIKE antigen presenting glycoprotein. Then, we used the human TRG/TRD-CD1D complex as template for the 3D structure of the dromedary TRG/TRD-CD1D complex and for guiding the 3D human/dromedary comparative analysis. The choice of mutated TRG alternatively combined with mutated TRD cDNA clones originating from the spleen of one single dromedary was crucial to quantify the strength of the interactions at the protein-protein interface between the paired C. dromedarius TRG and TRD V-domains and between the C. dromedarius TRG/TRD V-domains and CD1D G-domains. Interacting amino acids located in the V-domain Complementarity Determining Regions (CDR) and Framework Regions (FR) according to the IMGT unique numbering for V-domains were identified. The resulting 3D dromedary TRG V-GAMMA combined with TRD V-DELTA protein complexes allowed to deduce the most stable gamma/delta chains pairings and to propose a candidate CD1D-restricted γδ T cell receptor complex.
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Affiliation(s)
| | - Vincenzo Tragni
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari “Aldo Moro”, Bari, Italy
| | - Ciro Leonardo Pierri
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari “Aldo Moro”, Bari, Italy
| | - Serafina Massari
- Department of Biological and Environmental Science and Technologies, University of Salento, Lecce, Italy
| | - Marie-Paule Lefranc
- The International ImMunoGeneTics Information System (IMGT), Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Montpellier, France
| | | | - Salvatrice Ciccarese
- Department of Biology, University of Bari “Aldo Moro”, Bari, Italy
- *Correspondence: Salvatrice Ciccarese,
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Lefranc MP, Lefranc G. IMGT/3Dstructure-DB: T-Cell Receptor TR Paratope and Peptide/Major Histocompatibility pMH Contact Sites and Epitope. Methods Mol Biol 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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
T-cell receptors (TR), the antigen receptors of T cells, specifically recognize peptides presented by the major histocompatibility (MH) proteins, as peptide/MH (pMH), on the cell surface. The structure characterization of the trimolecular TR/pMH complexes is crucial to the fields of immunology, vaccination, and immunotherapy. IMGT/3Dstructure-DB is the three-dimensional (3-D) structure database of IMGT®, the international ImMunoGenetics information system®. By its creation, IMGT® marks the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. The IMGT® immunoglobulin (IG) and TR gene and allele nomenclature (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT/Collier-de-Perles (NUMEROTATION axiom) are the two founding breakthroughs of immunoinformatics. IMGT-ONTOLOGY concepts and IMGT Scientific chart rules generated from these axioms allowed IMGT® bridging genes, structures, and functions. IMGT/3Dstructure-DB contains 3-D structures of IG or antibodies, TR and MH proteins of the adaptive immune responses of jawed vertebrates (gnathostomata), IG or TR complexes with antigens (IG/Ag, TR/pMH), related proteins of the immune system of any species belonging to the IG and MH superfamilies, and fusion proteins for immune applications. The focus of this chapter is on the TR V domains and MH G domains and the contact analysis comparison in TR/pMH interactions. Standardized molecular characterization includes "IMGT pMH contact sites" for peptide and MH groove interactions and "IMGT paratopes and epitopes" for TR/pMH complexes. Data are available in the IMGT/3Dstructure database, at the IMGT Home page http://www.imgt.org .
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
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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:biom12030381. [PMID: 35327572 PMCID: PMC8945572 DOI: 10.3390/biom12030381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [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.
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Giudicelli V, Duroux P, Rollin M, Aouinti S, Folch G, Jabado-Michaloud J, Lefranc MP, Kossida S. IMGT ® Immunoinformatics Tools for Standardized V-DOMAIN Analysis. Methods Mol Biol 2022; 2453:477-531. [PMID: 35622340 PMCID: PMC9761511 DOI: 10.1007/978-1-0716-2115-8_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The variable domains (V-DOMAIN) of the antigen receptors, immunoglobulins (IG) or antibodies and T cell receptors (TR), which specifically recognize the antigens show a huge diversity in their sequences. This diversity results from the complex mechanisms involved in the synthesis of these domains at the DNA level (rearrangements of the variable (V), diversity (D), and joining (J) genes; N-diversity; and, for the IG, somatic hypermutations). The recognition of V, D, and J as "genes" and their entry in databases mark the creation of IMGT by Marie-Paule Lefranc, and the origin of immunoinformatics in 1989. For 30 years, IMGT®, the international ImMunoGeneTics information system® http://www.imgt.org , has implemented databases and developed tools for IG and TR immunoinformatics, based on the IMGT Scientific chart rules and IMGT-ONTOLOGY concepts and axioms, and more particularly, the princeps ones: IMGT genes and alleles (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION axiom). This chapter describes the online tools for the characterization and annotation of the expressed V-DOMAIN sequences: (a) IMGT/V-QUEST analyzes in detail IG and TR rearranged nucleotide sequences, (b) IMGT/HighV-QUEST is its high throughput version, which includes a module for the identification of IMGT clonotypes and generates immunoprofiles of expressed V, D, and J genes and alleles, (c) IMGT/StatClonotype performs the pairwise comparison of IMGT/HighV-QUEST immunoprofiles, (d) IMGT/DomainGapAlign analyzes amino acid sequences and is frequently used in antibody engineering and humanization, and (e) IMGT/Collier-de-Perles provides two-dimensional (2D) graphical representations of V-DOMAIN, bridging the gap between sequences and 3D structures. These IMGT® tools are widely used in repertoire analyses of the adaptive immune responses in normal and pathological situations and in the design of engineered IG and TR for therapeutic applications.
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Affiliation(s)
- Véronique Giudicelli
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Patrice Duroux
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Maël Rollin
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Safa Aouinti
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Géraldine Folch
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Sofia Kossida
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
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Guimaraes Koch SS, Thorpe R, Kawasaki N, Lefranc MP, Malan S, Martin AC, Mignot G, Plückthun A, Rizzi M, Shubat S, Weisser K, Balocco R. International nonproprietary names for monoclonal antibodies: an evolving nomenclature system. MAbs 2022; 14:2075078. [PMID: 35584276 PMCID: PMC9122354 DOI: 10.1080/19420862.2022.2075078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Appropriate nomenclature for all pharmaceutical substances is important for clinical development, licensing, prescribing, pharmacovigilance, and identification of counterfeits. Nonproprietary names that are unique and globally recognized for all pharmaceutical substances are assigned by the International Nonproprietary Names (INN) Programme of the World Health Organization (WHO). In 1991, the INN Programme implemented the first nomenclature scheme for monoclonal antibodies. To accompany biotechnological development, this nomenclature scheme has evolved over the years; however, since the scheme was introduced, all pharmacological substances that contained an immunoglobulin variable domain were coined with the stem -mab. To date, there are 879 INN with the stem -mab. Owing to this high number of names ending in -mab, devising new and distinguishable INN has become a challenge. The WHO INN Expert Group therefore decided to revise the system to ease this situation. The revised system was approved and adopted by the WHO at the 73rd INN Consultation held in October 2021, and the radical decision was made to discontinue the use of the well-known stem -mab in naming new antibody-based drugs and going forward, to replace it with four new stems: -tug, -bart, -mig, and -ment.
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Affiliation(s)
- Sofia S. Guimaraes Koch
- INN Unit, WHO, Geneva, Switzerland,CONTACT Sofia S. Guimaraes Koch INN Unit, WHO, GenevaCH-1211, Switzerland
| | | | | | - Marie-Paule Lefranc
- Institut Universitaire de France, Université de Montpellier, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Montpellier, France
| | - Sarel Malan
- School of Pharmacy, University of the Western Cape, Bellville, South Africa
| | - Andrew C.R. Martin
- Institute of Structural & Molecular Biology, Division of Biosciences, University College London, London, UK
| | | | - Andreas Plückthun
- Department of Biochemistry, University of Zurich, Zurich, Switzerland
| | - Menico Rizzi
- Department of Pharmaceutical Sciences, University of Piemonte Orientale, Novara, Italy
| | - Stephanie Shubat
- United States Adopted Names (USAN) Program, Chicago, Illinois, USA
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Edholm ES, Fenton CG, Mondot S, Paulssen RH, Lefranc MP, Boudinot P, Magadan S. Profiling the T Cell Receptor Alpha/Delta Locus in Salmonids. Front Immunol 2021; 12:753960. [PMID: 34733285 PMCID: PMC8559430 DOI: 10.3389/fimmu.2021.753960] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022] Open
Abstract
In jawed vertebrates, two major T cell populations have been characterized. They are defined as α/β or γ/δ T cells, based on the expressed T cell receptor. Salmonids (family Salmonidae) include two key teleost species for aquaculture, rainbow trout (Oncorhynchus mykiss) and Atlantic salmon (Salmo salar) which constitute important models for fish immunology and important targets for vaccine development. The growing interest to decipher the dynamics of adaptive immune responses against pathogens or vaccines has resulted in recent efforts to sequence the immunoglobulin (IG) or antibodies and T cell receptor (TR) repertoire in these species. In this context, establishing a comprehensive and coherent locus annotation is the fundamental basis for the analysis of high-throughput repertoire sequencing data. We therefore decided to revisit the description and annotation of TRA/TRD locus in Atlantic salmon and two strains of rainbow trout (Swanson and Arlee) using the now available high-quality genome assemblies. Phylogenetic analysis of functional TRA/TRD V genes from these three genomes led to the definition of 25 subgroups shared by both species, some with particular feature. A total of 128 TRAJ genes were identified in Salmo, the majority with a close counterpart in Oncorhynchus. Analysis of expressed TRA repertoire indicates that most TRAV gene subgroups are expressed at mucosal and systemic level. The present work on TRA/TRD locus annotation along with the analysis of TRA repertoire sequencing data show the feasibility and advantages of a common salmonid TRA/TRD nomenclature that allows an accurate annotation and analysis of high-throughput sequencing results, across salmonid T cell subsets.
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Affiliation(s)
- Eva-Stina Edholm
- Faculty of Biosciences, Fisheries & Economics, Norwegian College of Fishery Science, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Christopher Graham Fenton
- Clinical Bioinformatics Research Group, Genomics Support Centre Tromsø (GSCT), Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø - The Arctic University of Norway, Tromsø, Norway
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.,GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Ruth H Paulssen
- Clinical Bioinformatics Research Group, Genomics Support Centre Tromsø (GSCT), Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø - The Arctic University of Norway, Tromsø, Norway
| | - Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System (IMGT), Laboratoire d´ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier Cedex, France
| | - Pierre Boudinot
- Université Paris Saclay, INRAE, UVSQ, Virologie et Immunologie Moléculaires, Jouy-en-Josas, France
| | - Susana Magadan
- Immunology Laboratory, Biomedical Research Center (CINBIO), University of Vigo, Vigo, Spain.,Galicia Sur Health Research Institute (IIS-GS), Hospital Alvaro Cunqueiro, Vigo, Spain
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Trück J, Eugster A, Barennes P, Tipton CM, Luning Prak ET, Bagnara D, Soto C, Sherkow JS, Payne AS, Lefranc MP, Farmer A, Bostick M, Mariotti-Ferrandiz E. Biological controls for standardization and interpretation of adaptive immune receptor repertoire profiling. eLife 2021; 10:66274. [PMID: 34037521 PMCID: PMC8154019 DOI: 10.7554/elife.66274] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/15/2021] [Indexed: 12/15/2022] Open
Abstract
Use of adaptive immune receptor repertoire sequencing (AIRR-seq) has become widespread, providing new insights into the immune system with potential broad clinical and diagnostic applications. However, like many high-throughput technologies, it comes with several problems, and the AIRR Community was established to understand and help solve them. We, the AIRR Community’s Biological Resources Working Group, have surveyed scientists about the need for standards and controls in generating and annotating AIRR-seq data. Here, we review the current status of AIRR-seq, provide the results of our survey, and based on them, offer recommendations for developing AIRR-seq standards and controls, including future work.
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Affiliation(s)
- Johannes Trück
- University Children's Hospital and the Children's Research Center, University of Zurich, Zurich, Switzerland
| | - Anne Eugster
- CRTD Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Pierre Barennes
- Sorbonne Université U959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.,AP-HP Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi), Paris, France
| | - Christopher M Tipton
- Lowance Center for Human Immunology, Emory University School of Medicine, Atlanta, United States
| | - Eline T Luning Prak
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Davide Bagnara
- University of Genoa, Department of Experimental Medicine, Genoa, Italy
| | - Cinque Soto
- The Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, United States.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, United States
| | - Jacob S Sherkow
- College of Law, University of Illinois, Champaign, United States.,Center for Advanced Studies in Biomedical Innovation Law, University of Copenhagen Faculty of Law, Copenhagen, Denmark.,Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States
| | - Aimee S Payne
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier, France.,Laboratoire d'ImmunoGénétique Moléculaire (LIGM) CNRS, University of Montpellier, Montpellier, France.,Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier, France
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11
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Coelho CH, Nadakal ST, Gonzales Hurtado P, Morrison R, Galson JD, Neal J, Wu Y, King CR, Price V, Miura K, Wong-Madden S, Alamou Doritchamou JY, Narum DL, MacDonald NJ, Snow-Smith M, Vignali M, Taylor JJ, Lefranc MP, Trück J, Long CA, Sagara I, Fried M, Duffy PE. Antimalarial antibody repertoire defined by plasma IG proteomics and single B cell IG sequencing. JCI Insight 2020; 5:143471. [PMID: 33048842 PMCID: PMC7710313 DOI: 10.1172/jci.insight.143471] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/07/2020] [Indexed: 01/15/2023] Open
Abstract
Plasma antimalarial Ab can mediate antiparasite immunity but has not previously been characterized at the molecular level. Here, we develop an innovative strategy to characterize humoral responses by integrating profiles of plasma immunoglobulins (IGs) or Abs with those expressed on B cells as part of the B cell receptor. We applied this strategy to define plasma IG and to determine variable (V) gene usage after vaccination with the Plasmodium falciparum zygote antigen Pfs25. Using proteomic tools coupled with bulk immunosequencing data, we determined human antigen-binding fragment [F(ab')2] peptide sequences from plasma IG of adults who received 4 doses of Pfs25-EPA/Alhydrogel. Specifically, Pfs25 antigen-specific F(ab')2 peptides (Pfs25-IG) were aligned to cDNA sequences of IG heavy (IGH) chain complementarity determining region 3 from a data set generated by total peripheral B cell immunosequencing of the entire vaccinated population. IGHV4 was the most commonly identified IGHV subgroup of Pfs25-IG, a pattern that was corroborated by V heavy/V light chain sequencing of Pfs25-specific single B cells from 5 vaccinees and by matching plasma Pfs25-IG peptides and V-(D)-J sequences of Pfs25-specific single B cells from the same donor. Among 13 recombinant human mAbs generated from IG sequences of Pfs25-specific single B cells, a single IGHV4 mAb displayed strong neutralizing activity, reducing the number of P. falciparum oocysts in infected mosquitoes by more than 80% at 100 μg/mL. Our approach characterizes the human plasma Ab repertoire in response to the Pfs25-EPA/Alhydrogel vaccine and will be useful for studying circulating Abs in response to other vaccines as well as those induced during infections or autoimmune disorders.
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MESH Headings
- Adjuvants, Immunologic
- Adolescent
- Adult
- Antibodies, Monoclonal/blood
- Antibodies, Monoclonal/immunology
- Antibodies, Protozoan/blood
- Antibodies, Protozoan/immunology
- Antigens, Protozoan/immunology
- Antimalarials/administration & dosage
- Antimalarials/immunology
- B-Lymphocytes/immunology
- Clinical Trials as Topic
- Female
- Humans
- Immunoglobulins/blood
- Immunoglobulins/immunology
- Malaria Vaccines/administration & dosage
- Malaria Vaccines/immunology
- Malaria, Falciparum/blood
- Malaria, Falciparum/immunology
- Malaria, Falciparum/parasitology
- Malaria, Falciparum/prevention & control
- Male
- Middle Aged
- Plasmodium falciparum/immunology
- Protozoan Proteins/immunology
- Vaccination
- Young Adult
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Affiliation(s)
- Camila H. Coelho
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Steven T. Nadakal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patricia Gonzales Hurtado
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Robert Morrison
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Jacob D. Galson
- University Children’s Hospital Zurich, Zurich, Switzerland
- Alchemab Therapeutics Ltd, London, United Kingdom
| | - Jillian Neal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Yimin Wu
- PATH’s Malaria Vaccine Initiative, Washington, DC, USA
| | | | | | - Kazutoyo Miura
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Sharon Wong-Madden
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Justin Yai Alamou Doritchamou
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - David L. Narum
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Nicholas J. MacDonald
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Maryonne Snow-Smith
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Marissa Vignali
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
- Adaptive Biotechnologies Corp, Seattle, Washington, USA
| | - Justin J. Taylor
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Marie-Paule Lefranc
- IMGT, the International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UMR9002 CNRS, Université de Montpellier, Montpellier, France
| | - Johannes Trück
- University Children’s Hospital Zurich, Zurich, Switzerland
| | - Carole A. Long
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Issaka Sagara
- Malaria Research and Training Center, University of Sciences, Techniques, and Technologies, Bamako, Mali
| | - Michal Fried
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patrick E. Duffy
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
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12
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Lefranc MP, Lefranc G. Immunoglobulins or Antibodies: IMGT ® Bridging Genes, Structures and Functions. Biomedicines 2020; 8:E319. [PMID: 32878258 PMCID: PMC7555362 DOI: 10.3390/biomedicines8090319] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/18/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics® information system founded in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science at the interface between immunogenetics and bioinformatics. For the first time, the immunoglobulin (IG) or antibody and T cell receptor (TR) genes were officially recognized as 'genes' as well as were conventional genes. This major breakthrough has allowed the entry, in genomic databases, of the IG and TR variable (V), diversity (D) and joining (J) genes and alleles of Homo sapiens and of other jawed vertebrate species, based on the CLASSIFICATION axiom. The second major breakthrough has been the IMGT unique numbering and the IMGT Collier de Perles for the V and constant (C) domains of the IG and TR and other proteins of the IG superfamily (IgSF), based on the NUMEROTATION axiom. IMGT-ONTOLOGY axioms and concepts bridge genes, sequences, structures and functions, between biological and computational spheres in the IMGT® system (Web resources, databases and tools). They provide the IMGT Scientific chart rules to identify, to describe and to analyse the IG complex molecular data, the huge diversity of repertoires, the genetic (alleles, allotypes, CNV) polymorphisms, the IG dual function (paratope/epitope, effector properties), the antibody humanization and engineering.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
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13
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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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.)
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14
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Pégorier P, Bertignac M, Chentli I, Nguefack Ngoune V, Folch G, Jabado-Michaloud J, Hadi-Saljoqi S, Giudicelli V, Duroux P, Lefranc MP, Kossida S. IMGT® Biocuration and Comparative Study of the T Cell Receptor Beta Locus of Veterinary Species Based on Homo sapiens TRB. Front Immunol 2020; 11:821. [PMID: 32431713 PMCID: PMC7216736 DOI: 10.3389/fimmu.2020.00821] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 04/09/2020] [Indexed: 12/14/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics information system® 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. T cell receptors are divided into two groups, αβ and γδ TR, which express distinct TR containing either α and β, or γ and δ chains, respectively. The TRβ locus (TRB) was recently described and annotated by IMGT® biocurators for several veterinary species, i.e., cat (Felis catus), dog (Canis lupus familiaris), ferret (Mustela putorius furo), pig (Sus scrofa), rabbit (Oryctolagus cuniculus), rhesus monkey (Macaca mulatta), and sheep (Ovis aries). The aim of the present study is to compare the genes of the TRB locus among these different veterinary species based on Homo sapiens. The results reveal that there are similarities but also differences including the number of genes by subgroup which may demonstrate duplications and/or deletions during evolution.
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Affiliation(s)
- Perrine Pégorier
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Morgane Bertignac
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Imène Chentli
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Viviane Nguefack Ngoune
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Géraldine Folch
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Saida Hadi-Saljoqi
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Véronique Giudicelli
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Patrice Duroux
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Montpellier, France
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15
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Radtanakatikanon A, Keller SM, Darzentas N, Moore PF, Folch G, Nguefack Ngoune V, Lefranc MP, Vernau W. Topology and expressed repertoire of the Felis catus T cell receptor loci. BMC Genomics 2020; 21:20. [PMID: 31906850 PMCID: PMC6945721 DOI: 10.1186/s12864-019-6431-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 12/24/2019] [Indexed: 01/26/2023] Open
Abstract
Background The domestic cat (Felis catus) is an important companion animal and is used as a large animal model for human disease. However, the comprehensive study of adaptive immunity in this species is hampered by the lack of data on lymphocyte antigen receptor genes and usage. The objectives of this study were to annotate the feline T cell receptor (TR) loci and to characterize the expressed repertoire in lymphoid organs of normal cats using high-throughput sequencing. Results The Felis catus TRG locus contains 30 genes: 12 TRGV, 12 TRGJ and 6 TRGC, the TRB locus contains 48 genes: 33 TRBV, 2 TRBD, 11 TRBJ, 2 TRBC, the TRD locus contains 19 genes: 11 TRDV, 2 TRDD, 5 TRDJ, 1 TRDC, and the TRA locus contains 127 genes: 62 TRAV, 64 TRAJ, 1 TRAC. Functional feline V genes form monophyletic clades with their orthologs, and clustering of multimember subgroups frequently occurs in V genes located at the 5′ end of TR loci. Recombination signal (RS) sequences of the heptamer and nonamer of functional V and J genes are highly conserved. Analysis of the TRG expressed repertoire showed preferential intra-cassette over inter-cassette rearrangements and dominant usage of the TRGV2–1 and TRGJ1–2 genes. The usage of TRBV genes showed minor bias but TRBJ genes of the second J-C-cluster were more commonly rearranged than TRBJ genes of the first cluster. The TRA/TRD V genes almost exclusively rearranged to J genes within their locus. The TRAV/TRAJ gene usage was relatively balanced while the TRD repertoire was dominated by TRDJ3. Conclusions This is the first description of all TR loci in the cat. The genomic organization of feline TR loci was similar to that of previously described jawed vertebrates (gnathostomata) and is compatible with the birth-and-death model of evolution. The large-scale characterization of feline TR genes provides comprehensive baseline data on immune repertoires in healthy cats and will facilitate the development of improved reagents for the diagnosis of lymphoproliferative diseases in cats. In addition, these data might benefit studies using cats as a large animal model for human disease.
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Affiliation(s)
- Araya Radtanakatikanon
- Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, CA, USA.
| | - Stefan M Keller
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
| | - Nikos Darzentas
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany.,Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Peter F Moore
- Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Géraldine Folch
- 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
| | - Viviane Nguefack Ngoune
- 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
| | - 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
| | - William Vernau
- Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, CA, USA
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16
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Magadan S, Krasnov A, Hadi-Saljoqi S, Afanasyev S, Mondot S, Lallias D, Castro R, Salinas I, Sunyer O, Hansen J, Koop BF, Lefranc MP, Boudinot P. Standardized IMGT® Nomenclature of Salmonidae IGH Genes, the Paradigm of Atlantic Salmon and Rainbow Trout: From Genomics to Repertoires. Front Immunol 2019; 10:2541. [PMID: 31798572 PMCID: PMC6866254 DOI: 10.3389/fimmu.2019.02541] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 10/14/2019] [Indexed: 12/11/2022] Open
Abstract
In teleost fish as in mammals, humoral adaptive immunity is based on B lymphocytes expressing highly diverse immunoglobulins (IG). During B cell differentiation, IG loci are subjected to genomic rearrangements of V, D, and J genes, producing a unique antigen receptor expressed on the surface of each lymphocyte. During the course of an immune response to infections or immunizations, B cell clones specific of epitopes from the immunogen are expanded and activated, leading to production of specific antibodies. Among teleost fish, salmonids comprise key species for aquaculture. Rainbow trout (Oncorhynchus mykiss) and Atlantic salmon (Salmo salar) are especially important from a commercial point of view and have emerged as critical models for fish immunology. The growing interest to capture accurate and comprehensive antibody responses against common pathogens and vaccines has resulted in recent efforts to sequence the IG repertoire in these species. In this context, a unified and standardized nomenclature of salmonid IG heavy chain (IGH) genes is urgently required, to improve accuracy of annotation of adaptive immune receptor repertoire dataset generated by high-throughput sequencing (AIRRseq) and facilitate comparisons between studies and species. Interestingly, the assembly of salmonids IGH genomic sequences is challenging due to the presence of two large size duplicated IGH loci and high numbers of IG genes and pseudogenes. We used data available for Atlantic salmon to establish an IMGT standardized nomenclature of IGH genes in this species and then applied the IMGT rules to the rainbow trout IGH loci to set up a nomenclature, which takes into account the specificities of Salmonid loci. This unique, consistent nomenclature for Salmonid IGH genes was then used to construct IMGT sequence reference directories allowing accurate annotation of AIRRseq data. The complex issues raised by the genetic diversity of salmon and trout strains are discussed in the context of IG repertoire annotation.
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Affiliation(s)
- Susana Magadan
- Immunology Laboratory, Biomedical Research Center, University of Vigo, Vigo, Spain
- Department of Biology, Center of Evolutionary and Theoretical Immunology, University of New Mexico, Albuquerque, NM, United States
| | - Aleksei Krasnov
- Nofima AS, Norwegian Institute of Food, Fisheries and Aquaculture Research, Tromsø, Norway
| | - Saida Hadi-Saljoqi
- IMGT®, The International ImMunoGeneTics Information System® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier, France
| | - Sergey Afanasyev
- Sechenov Institute of Evolutionary Physiology and Biochemistry, Saint Petersburg, Russia
| | - Stanislas Mondot
- MICALIS, Institut National de la Recherche Agronomique, Université Paris-Saclay, Jouy-en-Josas, France
| | - Delphine Lallias
- Génétique Animale et Biologie Intégrative (GABI), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Rosario Castro
- Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay, Jouy-en-Josas, France
| | - Irene Salinas
- Department of Biology, Center of Evolutionary and Theoretical Immunology, University of New Mexico, Albuquerque, NM, United States
| | - Oriol Sunyer
- Pathobiology Department, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - John Hansen
- Western Fisheries Research Center, U.S. Geological Survey, Seattle, WA, United States
| | - Ben F. Koop
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier, France
| | - Pierre Boudinot
- Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay, Jouy-en-Josas, France
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17
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Mondot S, Lantz O, Lefranc MP, Boudinot P. The T cell receptor (TRA) locus in the rabbit (Oryctolagus cuniculus): Genomic features and consequences for invariant T cells. Eur J Immunol 2019; 49:2146-2158. [PMID: 31355919 DOI: 10.1002/eji.201948228] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 06/14/2019] [Indexed: 11/07/2022]
Abstract
The rabbit has been widely used in immunology and infectiology. Rabbit immunoglobulins have been extensively studied, leading to the discovery of their idiotypes, allotypic diversity, and of the diversification of the primary repertoire by hyperconversion. Much less is known about rabbit T cell receptors (TR), especially TRA. This isotype is particularly important for innate-like T cells, which typically express invariant TRA (iTRA). The presence of such cells in the rabbit remains an enigma. Rabbit NKT cells seem to be very rare, and lagomorphs lack MAIT cells. TRAV1, the variable gene expressed in the iTRA of these cells across most mammals, and MR1, the MH1-like receptor that present riboflavin derivatives to MAIT cells, are missing in rabbit. An alternative iTRA has been identified, that may be expressed by new innate-like T cells. To facilitate TRA repertoire analyses in rabbit, we report here a full description of TRA and TRD loci and a subgroup definition based on IMGT® classification. Rabbit TRA rearrangements follow the same temporal pattern that is observed in mouse and human. Rare transcripts expressing TRDV/TRDD/TRDJ rearrangements spliced to TRAC were detected. TRA and TRD genes have been made available in IMGT and IMGT/HighV-QUEST, allowing easy analysis of TRA/TRD RepSeq.
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Affiliation(s)
- Stanislas Mondot
- MICALIS, Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay, Jouy-en-Josas, France
| | - Olivier Lantz
- INSERM U932, Institut Curie, Paris Sciences et Lettres Research University, Paris, France.,Center of Clinical Investigation in Biotherapy 1428, Gustave-Roussy/Curie, Paris, France.,Laboratoire d'Immunologie Clinique, Institut Curie, Paris, France
| | - Marie-Paule Lefranc
- IMGT®, the International ImMunoGeneTics Information System® (IMGT), Institut de Génétique Humaine, CNRS, Université de Montpellier, Montpellier Cedex 5, France
| | - Pierre Boudinot
- Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Université Paris-Saclay, Jouy-en-Josas, France
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18
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Rubelt F, Busse CE, Bukhari SAC, Bürckert JP, Mariotti-Ferrandiz E, Cowell LG, Watson CT, Marthandan N, Faison WJ, Hershberg U, Laserson U, Corrie BD, Davis MM, Peters B, Lefranc MP, Scott JK, Breden F, Luning Prak ET, Kleinstein SH. Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data. Nat Immunol 2019; 18:1274-1278. [PMID: 29144493 DOI: 10.1038/ni.3873] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Florian Rubelt
- Department of Microbiology and Immunology and Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, California, USA
| | - Christian E Busse
- Division of B Cell Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Jean-Philippe Bürckert
- Department of Infection and Immunity, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Encarnita Mariotti-Ferrandiz
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
| | - Lindsay G Cowell
- Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Nishanth Marthandan
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada
| | - William J Faison
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Uri Hershberg
- School of Biomedical Engineering, Science & Health Systems, and Department of Microbiology and Immunology, College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Uri Laserson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brian D Corrie
- iReceptor, Simon Fraser University, Burnaby, British Columbia, Canada.,Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Mark M Davis
- Department of Microbiology and Immunology and Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, California, USA.,Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Bjoern Peters
- La Jolla Institute for Allergy and Immunology, La Jolla, California, USA
| | - Marie-Paule Lefranc
- IMGT, the international ImMunoGeneTics information system, LIGM, Institut de Génétique Humaine IGH, CNRS, University of Montpellier, Montpellier, France
| | - Jamie K Scott
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada.,iReceptor, Simon Fraser University, Burnaby, British Columbia, Canada.,Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Felix Breden
- iReceptor, Simon Fraser University, Burnaby, British Columbia, Canada.,Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | | | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Immunobiology, Yale School of Medicine, and Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA
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19
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Lefranc MP, Lefranc G. IMGT ® and 30 Years of Immunoinformatics Insight in Antibody V and C Domain Structure and Function. Antibodies (Basel) 2019; 8:E29. [PMID: 31544835 PMCID: PMC6640715 DOI: 10.3390/antib8020029] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 03/29/2019] [Accepted: 04/09/2019] [Indexed: 12/24/2022] Open
Abstract
At the 10th Human Genome Mapping (HGM10) Workshop, in New Haven, for the first time, immunoglobulin (IG) or antibody and T cell receptor (TR) variable (V), diversity (D), joining (J), and constant (C) genes were officially recognized as 'genes', as were the conventional genes. Under these HGM auspices, IMGT®, the international ImMunoGeneTics information system®, was created in June 1989 at Montpellier (University of Montpellier and CNRS). The creation of IMGT® marked the birth of immunoinformatics, a new science, at the interface between immunogenetics and bioinformatics. The accuracy and the consistency between genes and alleles, sequences, and three-dimensional (3D) structures are based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts: IMGT standardized keywords (IDENTIFICATION), IMGT gene and allele nomenclature (CLASSIFICATION), IMGT standardized labels (DESCRIPTION), IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION). These concepts provide IMGT® immunoinformatics insights for antibody V and C domain structure and function, used for the standardized description in IMGT® web resources, databases and tools, immune repertoires analysis, single cell and/or high-throughput sequencing (HTS, NGS), antibody humanization, and antibody engineering in relation with effector properties.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
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20
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Xochelli A, Bikos V, Polychronidou E, Galigalidou C, Agathangelidis A, Charlotte F, Moschonas P, Davis Z, Colombo M, Roumelioti M, Sutton LA, Groenen P, van den Brand M, Boudjoghra M, Algara P, Traverse-Glehen A, Ferrer A, Stalika E, Karypidou M, Kanellis G, Kalpadakis C, Mollejo M, Pangalis G, Vlamos P, Amini RM, Pospisilova S, Gonzalez D, Ponzoni M, Anagnostopoulos A, Giudicelli V, Lefranc MP, Espinet B, Panagiotidis P, Piris MA, Du MQ, Rosenquist R, Papadaki T, Belessi C, Ferrarini M, Oscier D, Tzovaras D, Ghia P, Davi F, Hadzidimitriou A, Stamatopoulos K. Disease-biased and shared characteristics of the immunoglobulin gene repertoires in marginal zone B cell lymphoproliferations. J Pathol 2019; 247:416-421. [PMID: 30484876 DOI: 10.1002/path.5209] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 11/12/2018] [Accepted: 11/21/2018] [Indexed: 01/14/2023]
Abstract
The B cell receptor immunoglobulin (Ig) gene repertoires of marginal zone (MZ) lymphoproliferations were analyzed in order to obtain insight into their ontogenetic relationships. Our cohort included cases with MZ lymphomas (n = 488), i.e. splenic (SMZL), nodal (NMZL) and extranodal (ENMZL), as well as provisional entities (n = 76), according to the WHO classification. The most striking Ig gene repertoire skewing was observed in SMZL. However, restrictions were also identified in all other MZ lymphomas studied, particularly ENMZL, with significantly different Ig gene distributions depending on the primary site of involvement. Cross-entity comparisons of the MZ Ig sequence dataset with a large dataset of Ig sequences (MZ-related or not; n = 65 837) revealed four major clusters of cases sharing homologous ('public') heavy variable complementarity-determining region 3. These clusters included rearrangements from SMZL, ENMZL (gastric, salivary gland, ocular adnexa), chronic lymphocytic leukemia, but also rheumatoid factors and non-malignant splenic MZ cells. In conclusion, different MZ lymphomas display biased immunogenetic signatures indicating distinct antigen exposure histories. The existence of rare public stereotypes raises the intriguing possibility that common, pathogen-triggered, immune-mediated mechanisms may result in diverse B lymphoproliferations due to targeting versatile progenitor B cells and/or operating in particular microenvironments. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Aliki Xochelli
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Vasilis Bikos
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Eleftheria Polychronidou
- Information Technologies Institute, CERTH, Thessaloniki, Greece
- Department of Informatics, Ionian University, Corfu, Greece
| | | | - Andreas Agathangelidis
- Division of Experimental Oncology and Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute and Università Vita-Salute San Raffaele, Milan, Italy
| | - Frédéric Charlotte
- Department of Pathology, Hopital Pitie-Salpetriere and Sorbonne University, Paris, France
| | | | - Zadie Davis
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Monica Colombo
- Molecular Pathology, Ospedale Policlinico SanMartino, Genoa, Italy
| | - Maria Roumelioti
- First Department of Propaedeutic Medicine, University of Athens, Athens, Greece
| | - Lesley-Ann Sutton
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Patricia Groenen
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michiel van den Brand
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Myriam Boudjoghra
- Department of Hematology, Hopital Pitie-Salpetriere and Sorbonne University, Paris, France
| | | | | | - Ana Ferrer
- Laboratori de Citologia Hematològica i Citogenètica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | | | - Maria Karypidou
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - George Kanellis
- Hematopathology Department, Evangelismos Hospital, Athens, Greece
| | | | | | | | | | - Rose-Marie Amini
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Sarka Pospisilova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - David Gonzalez
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | | | | | - Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics Information System®, Université de Montpellier, LIGM, Institut de Génétique Humaine IGH, UMR CNRS UM, Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics Information System®, Université de Montpellier, LIGM, Institut de Génétique Humaine IGH, UMR CNRS UM, Montpellier, France
| | - Blanca Espinet
- Laboratori de Citologia Hematològica i Citogenètica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | | | | | - Ming-Qing Du
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Manlio Ferrarini
- Direzione Scientifica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Universitaria (AOU) San Martino-IST, Genoa, Italy
| | - David Oscier
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Paolo Ghia
- Division of Experimental Oncology and Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute and Università Vita-Salute San Raffaele, Milan, Italy
| | - Frederic Davi
- Department of Hematology, Hopital Pitie-Salpetriere and Sorbonne University, Paris, France
| | - Anastasia Hadzidimitriou
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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21
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Ohlin M, Scheepers C, Corcoran M, Lees WD, Busse CE, Bagnara D, Thörnqvist L, Bürckert JP, Jackson KJL, Ralph D, Schramm CA, Marthandan N, Breden F, Scott J, Matsen IV FA, Greiff V, Yaari G, Kleinstein SH, Christley S, Sherkow JS, Kossida S, Lefranc MP, van Zelm MC, Watson CT, Collins AM. Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming. Front Immunol 2019; 10:435. [PMID: 30936866 PMCID: PMC6431624 DOI: 10.3389/fimmu.2019.00435] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 02/19/2019] [Indexed: 11/13/2022] Open
Abstract
Immunoglobulins or antibodies are the main effector molecules of the B-cell lineage and are encoded by hundreds of variable (V), diversity (D), and joining (J) germline genes, which recombine to generate enormous IG diversity. Recently, high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) of recombined V-(D)-J genes has offered unprecedented insights into the dynamics of IG repertoires in health and disease. Faithful biological interpretation of AIRR-seq studies depends upon the annotation of raw AIRR-seq data, using reference germline gene databases to identify the germline genes within each rearrangement. Existing reference databases are incomplete, as shown by recent AIRR-seq studies that have inferred the existence of many previously unreported polymorphisms. Completing the documentation of genetic variation in germline gene databases is therefore of crucial importance. Lymphocyte receptor genes and alleles are currently assigned by the Immunoglobulins, T cell Receptors and Major Histocompatibility Nomenclature Subcommittee of the International Union of Immunological Societies (IUIS) and managed in IMGT®, the international ImMunoGeneTics information system® (IMGT). In 2017, the IMGT Group reached agreement with a group of AIRR-seq researchers on the principles of a streamlined process for identifying and naming inferred allelic sequences, for their incorporation into IMGT®. These researchers represented the AIRR Community, a network of over 300 researchers whose objective is to promote all aspects of immunoglobulin and T-cell receptor repertoire studies, including the standardization of experimental and computational aspects of AIRR-seq data generation and analysis. The Inferred Allele Review Committee (IARC) was established by the AIRR Community to devise policies, criteria, and procedures to perform this function. Formalized evaluations of novel inferred sequences have now begun and submissions are invited via a new dedicated portal (https://ogrdb.airr-community.org). Here, we summarize recommendations developed by the IARC-focusing, to begin with, on human IGHV genes-with the goal of facilitating the acceptance of inferred allelic variants of germline IGHV genes. We believe that this initiative will improve the quality of AIRR-seq studies by facilitating the description of human IG germline gene variation, and that in time, it will expand to the documentation of TR and IG genes in many vertebrate species.
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Affiliation(s)
- Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Cathrine Scheepers
- Center for HIV and STIs, National Institute for Communicable Diseases, Johannesburg, South Africa
- Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - William D. Lees
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, United Kingdom
| | - Christian E. Busse
- Division of B Cell Immunology, German Cancer Research Center, Heidelberg, Germany
| | - Davide Bagnara
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | | | | | | | - Duncan Ralph
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Chaim A. Schramm
- Vaccine Research Center, National Institutes of Health, Washington, DC, United States
| | - Nishanth Marthandan
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Felix Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Jamie Scott
- Department of Molecular Biology and Biochemistry, Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | | | - Victor Greiff
- Department of Immunology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
| | | | - Scott Christley
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jacob S. Sherkow
- Innovation Center for Law and Technology, New York Law School, New York, NY, United States
| | - Sofia Kossida
- IMGT, The International ImMunoGenetics information system (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), CNRS, Institut de Génétique Humaine, Université de Montpellier, Montpellier, France
| | - Marie-Paule Lefranc
- IMGT, The International ImMunoGenetics information system (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), CNRS, Institut de Génétique Humaine, Université de Montpellier, Montpellier, France
| | - Menno C. van Zelm
- Department of Immunology and Pathology, Central Clinical School, The Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, United States
| | - Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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22
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Bradbury ARM, Trinklein ND, Thie H, Wilkinson IC, Tandon AK, Anderson S, Bladen CL, Jones B, Aldred SF, Bestagno M, Burrone O, Maynard J, Ferrara F, Trimmer JS, Görnemann J, Glanville J, Wolf P, Frenzel A, Wong J, Koh XY, Eng HY, Lane D, Lefranc MP, Clark M, Dübel S. When monoclonal antibodies are not monospecific: Hybridomas frequently express additional functional variable regions. MAbs 2018; 10:539-546. [PMID: 29485921 PMCID: PMC5973764 DOI: 10.1080/19420862.2018.1445456] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Monoclonal antibodies are commonly assumed to be monospecific, but anecdotal studies have reported genetic diversity in antibody heavy chain and light chain genes found within individual hybridomas. As the prevalence of such diversity has never been explored, we analyzed 185 random hybridomas, in a large multicenter dataset. The hybridomas analyzed were not biased towards those with cloning difficulties or known to have additional chains. Of the hybridomas we evaluated, 126 (68.1%) contained no additional productive chains, while the remaining 59 (31.9%) contained one or more additional productive heavy or light chains. The expression of additional chains degraded properties of the antibodies, including specificity, binding signal and/or signal-to-noise ratio, as determined by enzyme-linked immunosorbent assay and immunohistochemistry. The most abundant mRNA transcripts found in a hybridoma cell line did not necessarily encode the antibody chains providing the correct specificity. Consequently, when cloning antibody genes, functional validation of all possible VH and VL combinations is required to identify those with the highest affinity and lowest cross-reactivity. These findings, reflecting the current state of hybridomas used in research, reiterate the importance of using sequence-defined recombinant antibodies for research or diagnostic use.
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Affiliation(s)
| | | | - Holger Thie
- c Miltenyi Biotec GmbH , Friedrich-Ebert-Str. 68, Bergisch Gladbach , Germany
| | - Ian C Wilkinson
- d Absolute Antibody, Wilton Centre , Redcar , Cleveland TS10 4RF , United Kingdom
| | - Atul K Tandon
- e NeoBiotechnologies , 2 Union Square, Union City , CA , USA
| | - Stephen Anderson
- d Absolute Antibody, Wilton Centre , Redcar , Cleveland TS10 4RF , United Kingdom
| | - Catherine L Bladen
- d Absolute Antibody, Wilton Centre , Redcar , Cleveland TS10 4RF , United Kingdom
| | - Brittany Jones
- e NeoBiotechnologies , 2 Union Square, Union City , CA , USA
| | | | - Marco Bestagno
- f International Centre for Genetic Engineering and Biotechnology (ICGEB) , Padriciano 99, Trieste , Italy
| | - Oscar Burrone
- f International Centre for Genetic Engineering and Biotechnology (ICGEB) , Padriciano 99, Trieste , Italy
| | - Jennifer Maynard
- g The University of Texas at Austin, Cockrell School of Engineering , McKetta Department of Chemical Engineering , 200 E Dean Keeton St. Stop C0400, Austin , Texas , USA
| | | | - James S Trimmer
- h Department of Physiology and Membrane Biology , University of California , Davis, One Shields Avenue, Davis , CA , USA
| | - Janina Görnemann
- i Institute for Molecular Genetics , University of Heidelberg , Im Neuenheimer Field 260, Heidelberg , Germany
| | - Jacob Glanville
- j Stanford University, School of Medicine , Stanford , California , USA
| | - Philipp Wolf
- k Department of Urology , Medical Center, University of Freiburg , Breisacher Str. 66, Freiburg , Germany
| | - Andre Frenzel
- l Yumab GmbH , Inhoffenstr. 7, Braunschweig , Germany.,p Technische Universität Braunschweig, Institute of Biochemistry, Biotechnology and Bioinformatics , Spielmannstr. 7, Braunschweig , Germany
| | - Julin Wong
- m A*Star p53 laboratory , 06-06 Immunos, Singapore , Singapore
| | - Xin Yu Koh
- m A*Star p53 laboratory , 06-06 Immunos, Singapore , Singapore
| | - Hui-Yan Eng
- m A*Star p53 laboratory , 06-06 Immunos, Singapore , Singapore
| | - David Lane
- m A*Star p53 laboratory , 06-06 Immunos, Singapore , Singapore
| | - Marie-Paule Lefranc
- n IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier cedex 5 , France
| | - Mike Clark
- o Clark Antibodies Ltd , 10 Wellington Street, Cambridge , CB1 1HW , United Kingdom
| | - Stefan Dübel
- p Technische Universität Braunschweig, Institute of Biochemistry, Biotechnology and Bioinformatics , Spielmannstr. 7, Braunschweig , Germany
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23
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Han SY, Antoine A, Howard D, Chang B, Chang WS, Slein M, Deikus G, Kossida S, Duroux P, Lefranc MP, Sebra RP, Smith ML, Fofana IBF. Coupling of Single Molecule, Long Read Sequencing with IMGT/HighV-QUEST Analysis Expedites Identification of SIV gp140-Specific Antibodies from scFv Phage Display Libraries. Front Immunol 2018; 9:329. [PMID: 29545792 PMCID: PMC5837965 DOI: 10.3389/fimmu.2018.00329] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 02/06/2018] [Indexed: 12/20/2022] Open
Abstract
The simian immunodeficiency virus (SIV)/macaque model of human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome pathogenesis is critical for furthering our understanding of the role of antibody responses in the prevention of HIV infection, and will only increase in importance as macaque immunoglobulin (IG) gene databases are expanded. We have previously reported the construction of a phage display library from a SIV-infected rhesus macaque (Macaca mulatta) using oligonucleotide primers based on human IG gene sequences. Our previous screening relied on Sanger sequencing, which was inefficient and generated only a few dozen sequences. Here, we re-analyzed this library using single molecule, real-time (SMRT) sequencing on the Pacific Biosciences (PacBio) platform to generate thousands of highly accurate circular consensus sequencing (CCS) reads corresponding to full length single chain fragment variable. CCS data were then analyzed through the international ImMunoGeneTics information system® (IMGT®)/HighV-QUEST (www.imgt.org) to identify variable genes and perform statistical analyses. Overall the library was very diverse, with 2,569 different IMGT clonotypes called for the 5,238 IGHV sequences assigned to an IMGT clonotype. Within the library, SIV-specific antibodies represented a relatively limited number of clones, with only 135 different IMGT clonotypes called from 4,594 IGHV-assigned sequences. Our data did confirm that the IGHV4 and IGHV3 gene usage was the most abundant within the rhesus antibodies screened, and that these genes were even more enriched among SIV gp140-specific antibodies. Although a broad range of VH CDR3 amino acid (AA) lengths was observed in the unpanned library, the vast majority of SIV gp140-specific antibodies demonstrated a more uniform VH CDR3 length (20 AA). This uniformity was far less apparent when VH CDR3 were classified according to their clonotype (range: 9–25 AA), which we believe is more relevant for specific antibody identification. Only 174 IGKV and 588 IGLV clonotypes were identified within the VL sequences associated with SIV gp140-specific VH. Together, these data strongly suggest that the combination of SMRT sequencing with the IMGT/HighV-QUEST querying tool will facilitate and expedite our understanding of polyclonal antibody responses during SIV infection and may serve to rapidly expand the known scope of macaque V genes utilized during these responses.
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Affiliation(s)
- Seung Yub Han
- Biology Department, Boston College, Chestnut Hill, MA, United States
| | - Alesia Antoine
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute of Genomics and Multiscale Biology, New York, NY, United States
| | - David Howard
- Biology Department, Boston College, Chestnut Hill, MA, United States
| | - Bryant Chang
- Biology Department, Boston College, Chestnut Hill, MA, United States
| | - Woo Sung Chang
- Biology Department, Boston College, Chestnut Hill, MA, United States
| | - Matthew Slein
- Biology Department, Boston College, Chestnut Hill, MA, United States
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute of Genomics and Multiscale Biology, New York, NY, United States
| | - Sofia Kossida
- The international ImMunoGeneTics information system® (IMGT®), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR CNRS, Montpellier University, Montpellier, France
| | - Patrice Duroux
- The international ImMunoGeneTics information system® (IMGT®), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR CNRS, Montpellier University, Montpellier, France
| | - Marie-Paule Lefranc
- The international ImMunoGeneTics information system® (IMGT®), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR CNRS, Montpellier University, Montpellier, France
| | - Robert P Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute of Genomics and Multiscale Biology, New York, NY, United States
| | - Melissa L Smith
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute of Genomics and Multiscale Biology, New York, NY, United States
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Baliakas P, Mattsson M, Hadzidimitriou A, Minga E, Agathangelidis A, Sutton LA, Scarfo L, Davis Z, Yan XJ, Plevova K, Sandberg Y, Vojdeman FJ, Tzenou T, Chu CC, Veronese S, Mansouri L, Smedby KE, Giudicelli V, Nguyen-Khac F, Panagiotidis P, Juliusson G, Anagnostopoulos A, Lefranc MP, Trentin L, Catherwood M, Montillo M, Niemann CU, Langerak AW, Pospisilova S, Stavroyianni N, Chiorazzi N, Oscier D, Jelinek DF, Shanafelt T, Darzentas N, Belessi C, Davi F, Ghia P, Rosenquist R, Stamatopoulos K. No improvement in long-term survival over time for chronic lymphocytic leukemia patients in stereotyped subsets #1 and #2 treated with chemo(immuno)therapy. Haematologica 2017; 103:e158-e161. [PMID: 29269523 DOI: 10.3324/haematol.2017.182634] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- Panagiotis Baliakas
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Mattias Mattsson
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.,Department of Hematology, Uppsala University Hospital, Sweden
| | | | - Eva Minga
- Institute of Applied Biosciences, Thessaloniki, Greece
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, Thessaloniki, Greece.,Università Vita-Salute San Raffaele, Milan, Italy.,Strategic Research Program in CLL, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lesley-Ann Sutton
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Lydia Scarfo
- Università Vita-Salute San Raffaele, Milan, Italy.,Strategic Research Program in CLL, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Zadie Davis
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Xiao-Jie Yan
- The Feinstein Institute for Medical Research, Northwell Health, New York, USA
| | - Karla Plevova
- CEITEC-Central European Institute of Technology, MasarykBrno, Czech Republic.,University Hospital Brno, Czech Republic
| | - Yorick Sandberg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Fie J Vojdeman
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Tatiana Tzenou
- First Department of Propaedeutic Medicine, University of Athens, Greece
| | - Charles C Chu
- The Feinstein Institute for Medical Research, Northwell Health, New York, USA
| | - Silvio Veronese
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Hospital, Milan, Italy
| | - Larry Mansouri
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Karin E Smedby
- Department of Medicine Solna, Clinical Epidemiology Unit, Karolinska Institutet, and Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | - Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics information system®, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier, France
| | - Florence Nguyen-Khac
- Hematology Department and University Pierre et Marie Curie, Hopital Pitie-Salpetriere, Paris, France
| | | | - Gunnar Juliusson
- Lund University and Hospital Department of Hematology, Lund Stem Cell Center, Sweden
| | | | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier, France
| | - Livio Trentin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padova University School of Medicine, Italy.,Venetian Institute of Molecular Medicine, Padova, Italy
| | - Mark Catherwood
- Department of Hemato-Oncology, Belfast City Hospital, Belfast, UK
| | - Marco Montillo
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Hospital, Milan, Italy
| | | | - Anton W Langerak
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Sarka Pospisilova
- CEITEC-Central European Institute of Technology, MasarykBrno, Czech Republic.,University Hospital Brno, Czech Republic
| | - Niki Stavroyianni
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - Nicholas Chiorazzi
- The Feinstein Institute for Medical Research, Northwell Health, New York, USA
| | - David Oscier
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Tait Shanafelt
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nikos Darzentas
- CEITEC-Central European Institute of Technology, MasarykBrno, Czech Republic
| | | | - Frederic Davi
- Hematology Department and University Pierre et Marie Curie, Hopital Pitie-Salpetriere, Paris, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele, Milan, Italy.,Strategic Research Program in CLL, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Richard Rosenquist
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden .,Institute of Applied Biosciences, Thessaloniki, Greece.,Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
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25
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Hemadou A, Giudicelli V, Smith ML, Lefranc MP, Duroux P, Kossida S, Heiner C, Hepler NL, Kuijpers J, Groppi A, Korlach J, Mondon P, Ottones F, Jacobin-Valat MJ, Laroche-Traineau J, Clofent-Sanchez G. Pacific Biosciences Sequencing and IMGT/HighV-QUEST Analysis of Full-Length Single Chain Fragment Variable from an In Vivo Selected Phage-Display Combinatorial Library. Front Immunol 2017; 8:1796. [PMID: 29326697 PMCID: PMC5742356 DOI: 10.3389/fimmu.2017.01796] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 11/30/2017] [Indexed: 12/14/2022] Open
Abstract
Phage-display selection of immunoglobulin (IG) or antibody single chain Fragment variable (scFv) from combinatorial libraries is widely used for identifying new antibodies for novel targets. Next-generation sequencing (NGS) has recently emerged as a new method for the high throughput characterization of IG and T cell receptor (TR) immune repertoires both in vivo and in vitro. However, challenges remain for the NGS sequencing of scFv from combinatorial libraries owing to the scFv length (>800 bp) and the presence of two variable domains [variable heavy (VH) and variable light (VL) for IG] associated by a peptide linker in a single chain. Here, we show that single-molecule real-time (SMRT) sequencing with the Pacific Biosciences RS II platform allows for the generation of full-length scFv reads obtained from an in vivo selection of scFv-phages in an animal model of atherosclerosis. We first amplified the DNA of the phagemid inserts from scFv-phages eluted from an aortic section at the third round of the in vivo selection. From this amplified DNA, 450,558 reads were obtained from 15 SMRT cells. Highly accurate circular consensus sequences from these reads were generated, filtered by quality and then analyzed by IMGT/HighV-QUEST with the functionality for scFv. Full-length scFv were identified and characterized in 348,659 reads. Full-length scFv sequencing is an absolute requirement for analyzing the associated VH and VL domains enriched during the in vivo panning rounds. In order to further validate the ability of SMRT sequencing to provide high quality, full-length scFv sequences, we tracked the reads of an scFv-phage clone P3 previously identified by biological assays and Sanger sequencing. Sixty P3 reads showed 100% identity with the full-length scFv of 767 bp, 53 of them covering the whole insert of 977 bp, which encompassed the primer sequences. The remaining seven reads were identical over a shortened length of 939 bp that excludes the vicinity of primers at both ends. Interestingly these reads were obtained from each of the 15 SMRT cells. Thus, the SMRT sequencing method and the IMGT/HighV-QUEST functionality for scFv provides a straightforward protocol for characterization of full-length scFv from combinatorial phage libraries.
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Affiliation(s)
| | - Véronique Giudicelli
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d'ImmunoGénétique Moléculaire, LIGM, Institut de Génétique Humaine, IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France
| | | | - 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
| | - 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
| | | | | | | | - Alexis Groppi
- Université de Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, France
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26
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Breden F, Luning Prak ET, Peters B, Rubelt F, Schramm CA, Busse CE, Vander Heiden JA, Christley S, Bukhari SAC, Thorogood A, Matsen Iv FA, Wine Y, Laserson U, Klatzmann D, Douek DC, Lefranc MP, Collins AM, Bubela T, Kleinstein SH, Watson CT, Cowell LG, Scott JK, Kepler TB. Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data. Front Immunol 2017; 8:1418. [PMID: 29163494 PMCID: PMC5671925 DOI: 10.3389/fimmu.2017.01418] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 10/12/2017] [Indexed: 12/22/2022] Open
Abstract
High-throughput sequencing (HTS) of immunoglobulin (B-cell receptor, antibody) and T-cell receptor repertoires has increased dramatically since the technique was introduced in 2009 (1–3). This experimental approach explores the maturation of the adaptive immune system and its response to antigens, pathogens, and disease conditions in exquisite detail. It holds significant promise for diagnostic and therapy-guiding applications. New technology often spreads rapidly, sometimes more rapidly than the understanding of how to make the products of that technology reliable, reproducible, or usable by others. As complex technologies have developed, scientific communities have come together to adopt common standards, protocols, and policies for generating and sharing data sets, such as the MIAME protocols developed for microarray experiments. The Adaptive Immune Receptor Repertoire (AIRR) Community formed in 2015 to address similar issues for HTS data of immune repertoires. The purpose of this perspective is to provide an overview of the AIRR Community’s founding principles and present the progress that the AIRR Community has made in developing standards of practice and data sharing protocols. Finally, and most important, we invite all interested parties to join this effort to facilitate sharing and use of these powerful data sets (join@airr-community.org).
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Affiliation(s)
- Felix Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Bjoern Peters
- La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Florian Rubelt
- Department of Microbiology and Immunology, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, United States
| | - Chaim A Schramm
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Christian E Busse
- Division of B Cell Immunology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Jason A Vander Heiden
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Scott Christley
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | | | - Adrian Thorogood
- entre of Genomics and Policy, McGill University, Montreal, QC, Canada
| | - Frederick A Matsen Iv
- Public Health Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Yariv Wine
- Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
| | - Uri Laserson
- Department of Genetics and Genome Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Klatzmann
- Immunology-Immunopathology-Immunotherapy (i3 & i2B), Sorbonne Université, Paris, France
| | - Daniel C Douek
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Marie-Paule Lefranc
- IMGT, LIGM, Institut de Génétique Humaine IGH, CNRS, University of Montpellier, Montpellier, France
| | - Andrew M Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, NSW, Australia
| | - Tania Bubela
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Steven H Kleinstein
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States
| | - Lindsay G Cowell
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jamie K Scott
- Faculty of Health Sciences, Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Thomas B Kepler
- Department of Microbiology, Boston University School of Medicine, Boston, MA, United States.,Department of Mathematics and Statistics, Boston University, Boston, MA, United States
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27
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Martin J, Ponstingl H, Lefranc MP, Archer J, Sargan D, Bradley A. Comprehensive annotation and evolutionary insights into the canine (Canis lupus familiaris) antigen receptor loci. Immunogenetics 2017; 70:223-236. [PMID: 28924718 PMCID: PMC5871656 DOI: 10.1007/s00251-017-1028-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 08/12/2017] [Indexed: 12/11/2022]
Abstract
Dogs are an excellent model for human disease. For example, the treatment of canine lymphoma has been predictive of the human response to that treatment. However, an incomplete picture of canine (Canis lupus familiaris) immunoglobulin (IG) and T cell receptor (TR)-or antigen receptor (AR)-gene loci has restricted their utility. This work advances the annotation of the canine AR loci and looks into breed-specific features of the loci. Bioinformatic analysis of unbiased RNA sequence data was used to complete the annotation of the canine AR genes. This annotation was used to query 107 whole genome sequences from 19 breeds and identified over 5500 alleles across the 550 genes of the seven AR loci: the IG heavy, kappa, and lambda loci; and the TR alpha, beta, gamma, and delta loci. Of note was the discovery that half of the IGK variable (V) genes were located downstream of, and inverted with respect to, the rest of the locus. Analysis of the germline sequences of all the AR V genes identified greater conservation between dog and human than mouse with either. This work brings our understanding of the genetic diversity and expression of AR in dogs to the same completeness as that of mice and men, making it the third species to have all AR loci comprehensively and accurately annotated. The large number of germline sequences serves as a reference for future studies, and has allowed statistically powerful conclusions to be drawn on the pressures that have shaped these loci.
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Affiliation(s)
- Jolyon Martin
- Wellcome Trust Sanger Institute, Hinxton, UK.
- University of Cambridge, Cambridge, UK.
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28
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van Loghem E, de Lange G, van Leeuwen A, van Eeda P, Nijenhuis L, Lefranc MP, Lefranc G. Human IgG Allotypes Co-Occurring in More than
One IgG Subclass. Vox Sang 2017. [DOI: 10.1159/000465404] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Giudicelli V, Duroux P, Kossida S, Lefranc MP. IG and TR single chain fragment variable (scFv) sequence analysis: a new advanced functionality of IMGT/V-QUEST and IMGT/HighV-QUEST. BMC Immunol 2017. [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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background IMGT®, the international ImMunoGeneTics information system® (http://www.imgt.org), was created in 1989 in Montpellier, France (CNRS and Montpellier University) to manage the huge and complex diversity of the antigen receptors, and is at the origin of immunoinformatics, a science at the interface between immunogenetics and bioinformatics. Immunoglobulins (IG) or antibodies and T cell receptors (TR) are managed and described in the IMGT® databases and tools at the level of receptor, chain and domain. The analysis of the IG and TR variable (V) domain rearranged nucleotide sequences is performed by IMGT/V-QUEST (online since 1997, 50 sequences per batch) and, for next generation sequencing (NGS), by IMGT/HighV-QUEST, the high throughput version of IMGT/V-QUEST (portal begun in 2010, 500,000 sequences per batch). In vitro combinatorial libraries of engineered antibody single chain Fragment variable (scFv) which mimic the in vivo natural diversity of the immune adaptive responses are extensively screened for the discovery of novel antigen binding specificities. However the analysis of NGS full length scFv (~850 bp) represents a challenge as they contain two V domains connected by a linker and there is no tool for the analysis of two V domains in a single chain. Methods The functionality "Analyis of single chain Fragment variable (scFv)" has been implemented in IMGT/V-QUEST and, for NGS, in IMGT/HighV-QUEST for the analysis of the two V domains of IG and TR scFv. It proceeds in five steps: search for a first closest V-REGION, full characterization of the first V-(D)-J-REGION, then search for a second V-REGION and full characterization of the second V-(D)-J-REGION, and finally linker delimitation. Results For each sequence or NGS read, positions of the 5′V-DOMAIN, linker and 3′V-DOMAIN in the scFv are provided in the ‘V-orientated’ sense. Each V-DOMAIN is fully characterized (gene identification, sequence description, junction analysis, characterization of mutations and amino changes). The functionality is generic and can analyse any IG or TR single chain nucleotide sequence containing two V domains, provided that the corresponding species IMGT reference directory is available. Conclusion The “Analysis of single chain Fragment variable (scFv)” implemented in IMGT/V-QUEST and, for NGS, in IMGT/HighV-QUEST provides the identification and full characterization of the two V domains of full-length scFv (~850 bp) nucleotide sequences from combinatorial libraries. The analysis can also be performed on concatenated paired chains of expressed antigen receptor IG or TR repertoires.
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Affiliation(s)
- Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Patrice Duroux
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Sofia Kossida
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Montpellier University, Montpellier, France.
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30
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Prieur A, Cappellini M, Habif G, Lefranc MP, Mazard T, Morency E, Pascussi JM, Flacelière M, Cahuzac N, Vire B, Dubuc B, Durochat A, Liaud P, Ollier J, Pfeiffer C, Poupeau S, Saywell V, Planque C, Assenat E, Bibeau F, Bourgaux JF, Pujol P, Sézeur A, Ychou M, Joubert D. Targeting the Wnt Pathway and Cancer Stem Cells with Anti-progastrin Humanized Antibodies as a Potential Treatment for K-RAS-Mutated Colorectal Cancer. Clin Cancer Res 2017; 23:5267-5280. [PMID: 28600477 DOI: 10.1158/1078-0432.ccr-17-0533] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 04/27/2017] [Accepted: 06/05/2017] [Indexed: 12/11/2022]
Abstract
Purpose: Patients with metastatic colorectal cancer suffer from disease relapse mainly due to cancer stem cells (CSC). Interestingly, they have an increased level of blood progastrin, a tumor-promoting peptide essential for the self-renewal of colon CSCs, which is also a direct β-catenin/TCF4 target gene. In this study, we aimed to develop a novel targeted therapy to neutralize secreted progastrin to inhibit Wnt signaling, CSCs, and reduce relapses.Experimental Design: Antibodies (monoclonal and humanized) directed against progastrin were produced and selected for target specificity and affinity. After validation of their effectiveness on survival of colorectal cancer cell lines harboring B-RAF or K-RAS mutations, their efficacy was assessed in vitro and in vivo, alone or concomitantly with chemotherapy, on CSC self-renewal capacity, tumor recurrence, and Wnt signaling.Results: We show that anti-progastrin antibodies decrease self-renewal of CSCs both in vitro and in vivo, either alone or in combination with chemotherapy. Furthermore, migration and invasion of colorectal cancer cells are diminished; chemosensitivity is prolonged in SW620 and HT29 cells and posttreatment relapse is significantly delayed in T84 cells, xenografted nude mice. Finally, we show that the Wnt signaling activity in vitro is decreased, and, in transgenic mice developing Wnt-driven intestinal neoplasia, the tumor burden is alleviated, with an amplification of cell differentiation in the remaining tumors.Conclusions: Altogether, these data show that humanized anti-progastrin antibodies might represent a potential new treatment for K-RAS-mutated colorectal patients, for which there is a crucial unmet medical need. Clin Cancer Res; 23(17); 5267-80. ©2017 AACR.
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Affiliation(s)
| | | | | | | | - Thibault Mazard
- Institut Régional du Cancer de Montpellier, Montpellier, France
| | | | | | | | | | | | | | | | | | | | | | | | | | - Chris Planque
- Institut de Génomique Fonctionnelle, Montpellier, France
| | - Eric Assenat
- Institut Régional du Cancer de Montpellier, Montpellier, France
| | - Frédéric Bibeau
- Institut Régional du Cancer de Montpellier, Montpellier, France
| | | | - Pascal Pujol
- Departement d'oncogénétique clinique, CHRU Montpellier, Montpellier, France
| | - Alain Sézeur
- Groupe Hospitalier Diaconesses Croix St Simon Chirurgie Digestive, Paris, France
| | - Marc Ychou
- Institut Régional du Cancer de Montpellier, Montpellier, France
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Xochelli A, Baliakas P, Kavakiotis I, Agathangelidis A, Sutton LA, Minga E, Ntoufa S, Tausch E, Yan XJ, Shanafelt T, Plevova K, Boudjogra M, Rossi D, Davis Z, Navarro A, Sandberg Y, Vojdeman FJ, Scarfo L, Stavroyianni N, Sudarikov A, Veronese S, Tzenou T, Karan-Djurasevic T, Catherwood M, Kienle D, Chatzouli M, Facco M, Bahlo J, Pott C, Pedersen LB, Mansouri L, Smedby KE, Chu CC, Giudicelli V, Lefranc MP, Panagiotidis P, Juliusson G, Anagnostopoulos A, Vlahavas I, Antic D, Trentin L, Montillo M, Niemann C, Döhner H, Langerak AW, Pospisilova S, Hallek M, Campo E, Chiorazzi N, Maglaveras N, Oscier D, Gaidano G, Jelinek DF, Stilgenbauer S, Chouvarda I, Darzentas N, Belessi C, Davi F, Hadzidimitriou A, Rosenquist R, Ghia P, Stamatopoulos K. Chronic Lymphocytic Leukemia with Mutated IGHV4-34 Receptors: Shared and Distinct Immunogenetic Features and Clinical Outcomes. Clin Cancer Res 2017; 23:5292-5301. [PMID: 28536306 DOI: 10.1158/1078-0432.ccr-16-3100] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 04/11/2017] [Accepted: 05/18/2017] [Indexed: 11/16/2022]
Abstract
Purpose: We sought to investigate whether B cell receptor immunoglobulin (BcR IG) stereotypy is associated with particular clinicobiological features among chronic lymphocytic leukemia (CLL) patients expressing mutated BcR IG (M-CLL) encoded by the IGHV4-34 gene, and also ascertain whether these associations could refine prognostication.Experimental Design: In a series of 19,907 CLL cases with available immunogenetic information, we identified 339 IGHV4-34-expressing cases assigned to one of the four largest stereotyped M-CLL subsets, namely subsets #4, #16, #29 and #201, and investigated in detail their clinicobiological characteristics and disease outcomes.Results: We identified shared and subset-specific patterns of somatic hypermutation (SHM) among patients assigned to these subsets. The greatest similarity was observed between subsets #4 and #16, both including IgG-switched cases (IgG-CLL). In contrast, the least similarity was detected between subsets #16 and #201, the latter concerning IgM/D-expressing CLL. Significant differences between subsets also involved disease stage at diagnosis and the presence of specific genomic aberrations. IgG subsets #4 and #16 emerged as particularly indolent with a significantly (P < 0.05) longer time-to-first-treatment (TTFT; median TTFT: not yet reached) compared with the IgM/D subsets #29 and #201 (median TTFT: 11 and 12 years, respectively).Conclusions: Our findings support the notion that BcR IG stereotypy further refines prognostication in CLL, superseding the immunogenetic distinction based solely on SHM load. In addition, the observed distinct genetic aberration landscapes and clinical heterogeneity suggest that not all M-CLL cases are equal, prompting further research into the underlying biological background with the ultimate aim of tailored patient management. Clin Cancer Res; 23(17); 5292-301. ©2017 AACR.
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Affiliation(s)
- Aliki Xochelli
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece.,Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ioannis Kavakiotis
- Department of informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece.,Division of Experimental Oncology and Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lesley-Ann Sutton
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Eva Minga
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
| | | | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Xiao-Jie Yan
- Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York
| | - Tait Shanafelt
- Department of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Myriam Boudjogra
- Department of Hematology, Hopital Pitie-Salpetriere and University Pierre et Marie Curie, Paris, France
| | - Davide Rossi
- Division of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Zadie Davis
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, United Kingdom
| | - Alba Navarro
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Yorick Sandberg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Lydia Scarfo
- Division of Experimental Oncology and Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Niki Stavroyianni
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | | | - Silvio Veronese
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Tatiana Tzenou
- First Department of Propaedeutic Medicine, University of Athens, Athens, Greece
| | - Teodora Karan-Djurasevic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Mark Catherwood
- Department of Haemato-Oncology, Belfast City Hospital, Belfast, United Kingdom
| | - Dirk Kienle
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Maria Chatzouli
- Hematology Department, Nikea General Hospital, Piraeus, Greece
| | - Monica Facco
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padova, Italy
| | - Jasmin Bahlo
- Department I of Internal Medicine and Center of Integrated Oncology, University Hospital Cologne, Cologne, Germany
| | - Christiane Pott
- Second Medical Department, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | | | - Larry Mansouri
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Karin E Smedby
- Department of Medicine Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Charles C Chu
- Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York
| | - Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics information system®, Université de Montpellier, LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Université de Montpellier, LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier, France
| | | | - Gunnar Juliusson
- Lund University and Hospital Department of Hematology, Lund Stem Cell Center, Lund, Sweden
| | | | - Ioannis Vlahavas
- Department of informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Darko Antic
- Clinic for Hematology, Clinical Center, Belgrade, Serbia.,Medical faculty, University of Belgrade, Belgrade, Serbia
| | - Livio Trentin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padova, Italy
| | - Marco Montillo
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Carsten Niemann
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Hartmut Döhner
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Anton W Langerak
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sarka Pospisilova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Michael Hallek
- Department I of Internal Medicine and Center of Integrated Oncology, University Hospital Cologne, Cologne, Germany
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Nicholas Chiorazzi
- Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York
| | - Nikos Maglaveras
- Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - David Oscier
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, United Kingdom
| | - Gianluca Gaidano
- Division of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Diane F Jelinek
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, United States
| | | | - Ioanna Chouvarda
- Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikos Darzentas
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | | | - Frederic Davi
- Department of Hematology, Hopital Pitie-Salpetriere and University Pierre et Marie Curie, Paris, France
| | - Anastasia Hadzidimitriou
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece. .,Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Richard Rosenquist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Ghia
- Division of Experimental Oncology and Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Università Vita-Salute San Raffaele and IRCCS Istituto Scientifico San Raffaele, Milan, Italy
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece.,Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
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Langerak AW, Brüggemann M, Davi F, Darzentas N, van Dongen JJM, Gonzalez D, Cazzaniga G, Giudicelli V, Lefranc MP, Giraud M, Macintyre EA, Hummel M, Pott C, Groenen PJTA, Stamatopoulos K. High-Throughput Immunogenetics for Clinical and Research Applications in Immunohematology: Potential and Challenges. J Immunol 2017; 198:3765-3774. [PMID: 28416603 DOI: 10.4049/jimmunol.1602050] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 01/09/2017] [Indexed: 11/19/2022]
Abstract
Analysis and interpretation of Ig and TCR gene rearrangements in the conventional, low-throughput way have their limitations in terms of resolution, coverage, and biases. With the advent of high-throughput, next-generation sequencing (NGS) technologies, a deeper analysis of Ig and/or TCR (IG/TR) gene rearrangements is now within reach, which impacts on all main applications of IG/TR immunogenetic analysis. To bridge the generation gap from low- to high-throughput analysis, the EuroClonality-NGS Consortium has been formed, with the main objectives to develop, standardize, and validate the entire workflow of IG/TR NGS assays for 1) clonality assessment, 2) minimal residual disease detection, and 3) repertoire analysis. This concerns the preanalytical (sample preparation, target choice), analytical (amplification, NGS), and postanalytical (immunoinformatics) phases. Here we critically discuss pitfalls and challenges of IG/TR NGS methodology and its applications in hemato-oncology and immunology.
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Affiliation(s)
- Anton W Langerak
- Department of Immunology, Laboratory for Medical Immunology, Erasmus MC, University Medical Center, 3015 CN Rotterdam, the Netherlands;
| | - Monika Brüggemann
- Second Medical Department, University Hospital Schleswig-Holstein, 24105 Kiel, Germany
| | - Frédéric Davi
- Département d'Hématologie, Assistance Publique - Hôpitaux de Paris Hopital Pitié-Salpêtrière and Université Pierre et Marie Curie - Université Paris IV, 75005 Paris, France
| | - Nikos Darzentas
- Molecular Medicine Program, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
| | - Jacques J M van Dongen
- Department of Immunology, Laboratory for Medical Immunology, Erasmus MC, University Medical Center, 3015 CN Rotterdam, the Netherlands;
| | - David Gonzalez
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast BT9 7AE, United Kingdom
| | - Gianni Cazzaniga
- Centro Ricerca Tettamanti, Clinica Pediatrica Università Milano-Bicocca, 20900 Monza, Italy
| | | | | | - Mathieu Giraud
- Centre de Recherche en Informatique Signal et Automatique de Lille, CNRS, Université de Lille, 59000 Lille, France
| | - Elizabeth A Macintyre
- Département d'Hématologie, Assistance Publique - Hôpitaux de Paris Necker-Enfants Malades and Paris Descartes, 75015 Paris, France
| | - Michael Hummel
- Institut für Pathologie, Charité - Universitätsmedizin Berlin, D-10117 Berlin, Germany
| | - Christiane Pott
- Second Medical Department, University Hospital Schleswig-Holstein, 24105 Kiel, Germany
| | - Patricia J T A Groenen
- Department of Pathology, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, the Netherlands; and
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Center for Research and Technology Hellas, GR-57001 Thessaloniki, Greece
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Dambrun M, Dechavanne C, Emmanuel A, Aussenac F, Leduc M, Giangrande C, Vinh J, Dugoujon JM, Lefranc MP, Guillonneau F, Migot-Nabias F. Human Immunoglobulin Heavy Gamma Chain Polymorphisms: Molecular Confirmation Of Proteomic Assessment. Mol Cell Proteomics 2017; 16:824-839. [PMID: 28265047 DOI: 10.1074/mcp.m116.064733] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 02/01/2017] [Indexed: 11/06/2022] Open
Abstract
Immunoglobulin G (IgG) proteins are known for the huge diversity of the variable domains of their heavy and light chains, aimed at protecting each individual against foreign antigens. The IgG also harbor specific polymorphism concentrated in the CH2 and CH3-CHS constant regions located on the Fc fragment of their heavy chains. But this individual particularity relies only on a few amino acids among which some could make accurate sequence determination a challenge for mass spectrometry-based techniques.The purpose of the study was to bring a molecular validation of proteomic results by the sequencing of encoding DNA fragments. It was performed using ten individual samples (DNA and sera) selected on the basis of their Gm (gamma marker) allotype polymorphism in order to cover the main immunoglobulin heavy gamma (IGHG) gene diversity. Gm allotypes, reflecting part of this diversity, were determined by a serological method. On its side, the IGH locus comprises four functional IGHG genes totalizing 34 alleles and encoding the four IgG subclasses. The genomic study focused on the nucleotide polymorphism of the CH2 and CH3-CHS exons and of the intron. Despite strong sequence identity, four pairs of specific gene amplification primers could be designed. Additional primers were identified to perform the subsequent sequencing. The nucleotide sequences obtained were first assigned to a specific IGHG gene, and then IGHG alleles were deduced using a home-made decision tree reading of the nucleotide sequences. IGHG amino acid (AA) alleles were determined by mass spectrometry. Identical results were found at 95% between alleles identified by proteomics and those deduced from genomics. These results validate the proteomic approach which could be used for diagnostic purposes, namely for a mother-and-child differential IGHG detection in a context of suspicion of congenital infection.
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Affiliation(s)
- Magalie Dambrun
- From the ‡Institut de Recherche pour le Développement, UMR 216 Mère et enfant face aux infections tropicales, Paris, France.,§COMUE Sorbonne Paris Cité, Faculté de Pharmacie, Université Paris Descartes, Paris, France.,¶¶Magalie Dambrun, Célia Dechavanne and Alexandra Emmanuel contributed equally to this work
| | - Célia Dechavanne
- From the ‡Institut de Recherche pour le Développement, UMR 216 Mère et enfant face aux infections tropicales, Paris, France.,§COMUE Sorbonne Paris Cité, Faculté de Pharmacie, Université Paris Descartes, Paris, France.,¶¶Magalie Dambrun, Célia Dechavanne and Alexandra Emmanuel contributed equally to this work
| | - Alexandra Emmanuel
- From the ‡Institut de Recherche pour le Développement, UMR 216 Mère et enfant face aux infections tropicales, Paris, France.,§COMUE Sorbonne Paris Cité, Faculté de Pharmacie, Université Paris Descartes, Paris, France.,¶ESPCI Paris, PSL Research University, Spectrométrie de Masse Biologique et Protéomique (SMBP), CNRS USR 3149, Paris, France.,¶¶Magalie Dambrun, Célia Dechavanne and Alexandra Emmanuel contributed equally to this work
| | - Florentin Aussenac
- From the ‡Institut de Recherche pour le Développement, UMR 216 Mère et enfant face aux infections tropicales, Paris, France.,§COMUE Sorbonne Paris Cité, Faculté de Pharmacie, Université Paris Descartes, Paris, France
| | - Marjorie Leduc
- ‖Plate-forme protéomique de l'Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Chiara Giangrande
- ¶ESPCI Paris, PSL Research University, Spectrométrie de Masse Biologique et Protéomique (SMBP), CNRS USR 3149, Paris, France
| | - Joëlle Vinh
- ¶ESPCI Paris, PSL Research University, Spectrométrie de Masse Biologique et Protéomique (SMBP), CNRS USR 3149, Paris, France
| | - Jean-Michel Dugoujon
- **Laboratoire d'Anthropologie Moléculaire et Imagerie de Synthèse, UMR 5288, CNRS et Université Paul Sabatier Toulouse III, Toulouse, France
| | - Marie-Paule Lefranc
- ‡‡IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire, LIGM, Institut de Génétique Humaine, IGH, UMR 9002, CNRS et Université de Montpellier, Montpellier, France.,§§Institut Universitaire de France, Paris, France
| | - François Guillonneau
- ‖Plate-forme protéomique de l'Université Paris Descartes, Sorbonne Paris Cité, Paris, France.,‖‖François Guillonneau and Florence Migot-Nabias contributed equally to this work
| | - Florence Migot-Nabias
- From the ‡Institut de Recherche pour le Développement, UMR 216 Mère et enfant face aux infections tropicales, Paris, France; .,§COMUE Sorbonne Paris Cité, Faculté de Pharmacie, Université Paris Descartes, Paris, France.,‖‖François Guillonneau and Florence Migot-Nabias contributed equally to this work
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34
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Marillet S, Lefranc MP, Boudinot P, Cazals F. Novel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity. Front Immunol 2017; 8:34. [PMID: 28232828 PMCID: PMC5298999 DOI: 10.3389/fimmu.2017.00034] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 01/09/2017] [Indexed: 11/13/2022] Open
Abstract
Antibody–antigen complexes challenge our understanding, as analyses to date failed to unveil the key determinants of binding affinity and interaction specificity. We partially fill this gap based on novel quantitative analyses using two standardized databases, the IMGT/3Dstructure-DB and the structure affinity benchmark. First, we introduce a statistical analysis of interfaces which enables the classification of ligand types (protein, peptide, and chemical; cross-validated classification error of 9.6%) and yield binding affinity predictions of unprecedented accuracy (median absolute error of 0.878 kcal/mol). Second, we exploit the contributions made by CDRs in terms of position at the interface and atomic packing properties to show that in general, VH CDR3 and VL CDR3 make dominant contributions to the binding affinity, a fact also shown to be consistent with the enthalpy–entropy compensation associated with preconfiguration of CDR3. Our work suggests that the affinity prediction problem could be partially solved from databases of high resolution crystal structures of complexes with known affinity.
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Affiliation(s)
- Simon Marillet
- VIM, INRA and Université Paris-Saclay, Jouy-en-josas, France; Université Côte d'Azur and Inria, Sophia Antipolis, France
| | | | - Pierre Boudinot
- VIM, INRA and Université Paris-Saclay , Jouy-en-josas , France
| | - Frédéric Cazals
- Université Côte d'Azur and Inria , Sophia Antipolis , France
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Abstract
This appendix includes a selection of links of interest to immunologists from the international ImMunoGeneTics (IMGT) database, covering a wide variety of subject matter. © 2017 by John Wiley & Sons, Inc.
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Breden F, Luning Prak ET, Peters B, Rubelt F, Schramm CA, Busse CE, Vander Heiden JA, Christley S, Bukhari SAC, Thorogood A, Matsen Iv FA, Wine Y, Laserson U, Klatzmann D, Douek DC, Lefranc MP, Collins AM, Bubela T, Kleinstein SH, Watson CT, Cowell LG, Scott JK, Kepler TB. Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data. Front Immunol 2017. [PMID: 29163494 DOI: 10.3389/fimmu.2017.01418/bibtex] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023] Open
Abstract
High-throughput sequencing (HTS) of immunoglobulin (B-cell receptor, antibody) and T-cell receptor repertoires has increased dramatically since the technique was introduced in 2009 (1-3). This experimental approach explores the maturation of the adaptive immune system and its response to antigens, pathogens, and disease conditions in exquisite detail. It holds significant promise for diagnostic and therapy-guiding applications. New technology often spreads rapidly, sometimes more rapidly than the understanding of how to make the products of that technology reliable, reproducible, or usable by others. As complex technologies have developed, scientific communities have come together to adopt common standards, protocols, and policies for generating and sharing data sets, such as the MIAME protocols developed for microarray experiments. The Adaptive Immune Receptor Repertoire (AIRR) Community formed in 2015 to address similar issues for HTS data of immune repertoires. The purpose of this perspective is to provide an overview of the AIRR Community's founding principles and present the progress that the AIRR Community has made in developing standards of practice and data sharing protocols. Finally, and most important, we invite all interested parties to join this effort to facilitate sharing and use of these powerful data sets (join@airr-community.org).
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Affiliation(s)
- Felix Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Bjoern Peters
- La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States
| | - Florian Rubelt
- Department of Microbiology and Immunology, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, United States
| | - Chaim A Schramm
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Christian E Busse
- Division of B Cell Immunology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Jason A Vander Heiden
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Scott Christley
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | | | - Adrian Thorogood
- entre of Genomics and Policy, McGill University, Montreal, QC, Canada
| | - Frederick A Matsen Iv
- Public Health Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Yariv Wine
- Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
| | - Uri Laserson
- Department of Genetics and Genome Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Klatzmann
- Immunology-Immunopathology-Immunotherapy (i3 & i2B), Sorbonne Université, Paris, France
| | - Daniel C Douek
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Marie-Paule Lefranc
- IMGT, LIGM, Institut de Génétique Humaine IGH, CNRS, University of Montpellier, Montpellier, France
| | - Andrew M Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, NSW, Australia
| | - Tania Bubela
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Steven H Kleinstein
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States
| | - Lindsay G Cowell
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jamie K Scott
- Faculty of Health Sciences, Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Thomas B Kepler
- Department of Microbiology, Boston University School of Medicine, Boston, MA, United States
- Department of Mathematics and Statistics, Boston University, Boston, MA, United States
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Linguiti G, Antonacci R, Tasco G, Grande F, Casadio R, Massari S, Castelli V, Consiglio A, Lefranc MP, Ciccarese S. Erratum to: Genomic and expression analyses of Tursiops truncatus T cell receptor gamma (TRG) and alpha/delta (TRA/TRD) loci reveal a similar basic public γδ repertoire in dolphin and human. BMC Genomics 2016; 17:778. [PMID: 27716050 PMCID: PMC5052903 DOI: 10.1186/s12864-016-3142-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 09/29/2016] [Indexed: 11/10/2022] Open
Affiliation(s)
- Giovanna Linguiti
- Department of Biology, University of Bari, via E. Orabona 4, 70125, Bari, Italy
| | - Rachele Antonacci
- Department of Biology, University of Bari, via E. Orabona 4, 70125, Bari, Italy
| | - Gianluca Tasco
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Francesco Grande
- Zoomarine Italia SpA, via Casablanca 61, 00071, Pomezia, RM, Italy
| | - Rita Casadio
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Serafina Massari
- Department of Biological and Environmental Science e Technologies, University of Salento, via per Monteroni, 73100, Lecce, Italy
| | - Vito Castelli
- Department of Biology, University of Bari, via E. Orabona 4, 70125, Bari, Italy
| | - Arianna Consiglio
- CNR, Institute for Biomedical Technologies of Bari, via Amendola, 70125, Bari, Italy
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS 1142, University of Montpellier, 34396, Montpellier Cedex 5, France
| | - Salvatrice Ciccarese
- Department of Biology, University of Bari, via E. Orabona 4, 70125, Bari, Italy.
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Aouinti S, Giudicelli V, Duroux P, Malouche D, Kossida S, Lefranc MP. IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST. Front Immunol 2016; 7:339. [PMID: 27667992 PMCID: PMC5016520 DOI: 10.3389/fimmu.2016.00339] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 08/22/2016] [Indexed: 11/25/2022] Open
Abstract
There is a huge need for standardized analysis and statistical procedures in order to compare the complex immune repertoires of antigen receptors immunoglobulins (IG) and T cell receptors (TR) obtained by next generation sequencing (NGS). NGS technologies generate millions of nucleotide sequences and have led to the development of new tools. The IMGT/HighV-QUEST, available since 2010, is the first global web portal for the analysis of IG and TR high throughput sequences. IMGT/HighV-QUEST provides standardized outputs for the characterization of the “IMGT clonotype (AA)” (AA for amino acids) and their comparison in up to one million sequences. Standardized statistical procedures for “IMGT clonotype (AA)” diversity or expression comparisons have recently been described, however, no tool was yet available. IMGT/StatClonotype, a new IMGT® tool, evaluates and visualizes statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per V (variable), D (diversity), and J (joining) gene of a given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. IMGT/StatClonotype tool is incorporated in the R package “IMGTStatClonotype,” with a user-friendly interface. IMGT/StatClonotype is downloadable at IMGT®1 for users to evaluate pairwise comparison of IG and TR NGS statistical output from IMGT/HighV-QUEST and to visualize, on their web browser, the statistical significance of IMGT clonotype (AA) diversity or expression, per gene, the comparative analysis of CDR-IMGT and the V–D–J associations, in immunoprofiles from normal or pathological immune responses.
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Affiliation(s)
- Safa Aouinti
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier, France; Higher School of Statistics and Information Analysis, Unité Modélisation et Analyse Statistique et Economique, University of Carthage, Tunis, Tunisia
| | - Véronique Giudicelli
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France
| | - Patrice Duroux
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France
| | - Dhafer Malouche
- Higher School of Statistics and Information Analysis, Unité Modélisation et Analyse Statistique et Economique, University of Carthage , Tunis , Tunisia
| | - Sofia Kossida
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France
| | - Marie-Paule Lefranc
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France
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Besbes S, Hamadou WS, Boulland ML, Lefranc MP, Ben Youssef Y, Achour B, Khelif A, Fest T, Soua Z. Combined IKZF1 and IG markers as new tools for diagnosis and minimal residual disease assessment in Tunisian B-ALL. Bull Cancer 2016; 103:822-828. [PMID: 27614734 DOI: 10.1016/j.bulcan.2016.07.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 06/21/2016] [Accepted: 07/23/2016] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The monitoring of minimal residual disease (MRD) approach in patients diagnosed with B-acute lymphoblastic leukemia (B-ALL) allows an early detection of residual clones inducing relapses and therefore appropriate therapy strategy. The molecular markers may identify and quantify the residual blasts in B-ALL with normal cytology. In this study, we aimed to use combined IKZF1, IGH and IGK immunoglobulin genes for diagnosis and MRD monitoring in B-ALL sample using MLPA, multiplex PCR and real-time quantitative PCR. MATERIAL We showed that multiplex PCR and MLPA are necessary and complementary to detect IKZF1 deletions. RESULTS We have identified at the diagnosis clonal IGH rearrangement (VH3-JH5) and IKZF1 deletion (Δ4-7), which we have used it for MRD evaluation after induction chemotherapy. Despite the absence of chromosome abnormality, the patient may be classified in high-risk group with a relapse rate of residual blasts>10-4 and sensitivity up to 10-5. This molecular approach enabled the patient's stratification, which was overlooked by classical methods. CONCLUSION The combined IKZF1 and immunoglobulin genes will be used as appropriate molecular tools for diagnosis and MRD assessment of B-lineage leukemias and introduced as a routine tests in Tunisian clinical laboratories. They will be useful to stratify patients into risk groups leading to better treatment strategy.
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Affiliation(s)
- Sawsen Besbes
- Université de Sousse, faculté de médecine, laboratoire de biochimie, unité de recherche 14 ES 19, 4000 Sousse, Tunisia
| | - Walid-Sabri Hamadou
- Université de Sousse, faculté de médecine, laboratoire de biochimie, unité de recherche 14 ES 19, 4000 Sousse, Tunisia
| | | | | | - Yosra Ben Youssef
- Université de Sousse, faculté de médecine, laboratoire de biochimie, unité de recherche 14 ES 19, 4000 Sousse, Tunisia; CHU F. Hached, service d'hématologie clinique, 4000 Sousse, Tunisia
| | - Béchir Achour
- CHU F. Hached, service d'hématologie clinique, 4000 Sousse, Tunisia
| | - Abderrahim Khelif
- Université de Sousse, faculté de médecine, laboratoire de biochimie, unité de recherche 14 ES 19, 4000 Sousse, Tunisia; CHU F. Hached, service d'hématologie clinique, 4000 Sousse, Tunisia
| | - Thierry Fest
- CHU Pontchaillou, service d'hématologie biologique, 35033 Rennes, France
| | - Zohra Soua
- Université de Sousse, faculté de médecine, laboratoire de biochimie, unité de recherche 14 ES 19, 4000 Sousse, Tunisia.
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Linguiti G, Antonacci R, Tasco G, Grande F, Casadio R, Massari S, Castelli V, Consiglio A, Lefranc MP, Ciccarese S. Genomic and expression analyses of Tursiops truncatus T cell receptor gamma (TRG) and alpha/delta (TRA/TRD) loci reveal a similar basic public γδ repertoire in dolphin and human. BMC Genomics 2016; 17:634. [PMID: 27528257 PMCID: PMC4986337 DOI: 10.1186/s12864-016-2841-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Accepted: 06/15/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The bottlenose dolphin (Tursiops truncatus) is a mammal that belongs to the Cetartiodactyla and have lived in marine ecosystems for nearly 60 millions years. Despite its popularity, our knowledge about its adaptive immunity and evolution is very limited. Furthermore, nothing is known about the genomics and evolution of dolphin antigen receptor immunity. RESULTS Here we report a evolutionary and expression study of Tursiops truncatus T cell receptor gamma (TRG) and alpha/delta (TRA/TRD) genes. We have identified in silico the TRG and TRA/TRD genes and analyzed the relevant mature transcripts in blood and in skin from four subjects. The dolphin TRG locus is the smallest and simplest of all mammalian loci as yet studied. It shows a genomic organization comprising two variable (V1 and V2), three joining (J1, J2 and J3) and a single constant (C), genes. Despite the fragmented nature of the genome assemblies, we deduced the TRA/TRD locus organization, with the recent TRDV1 subgroup genes duplications, as it is expected in artiodactyls. Expression analysis from blood of a subject allowed us to assign unambiguously eight TRAV genes to those annotated in the genomic sequence and to twelve new genes, belonging to five different subgroups. All transcripts were productive and no relevant biases towards TRAV-J rearrangements are observed. Blood and skin from four unrelated subjects expression data provide evidence for an unusual ratio of productive/unproductive transcripts which arise from the TRG V-J gene rearrangement and for a "public" gamma delta TR repertoire. The productive cDNA sequences, shared both in the same and in different individuals, include biases of the TRGV1 and TRGJ2 genes. The high frequency of TRGV1-J2/TRDV1- D1-J4 productive rearrangements in dolphins may represent an interesting oligo-clonal population comparable to that found in human with the TRGV9- JP/TRDV2-D-J T cells and in primates. CONCLUSIONS Although the features of the TRG and TRA/TRD loci organization reflect those of the so far examined artiodactyls, genomic results highlight in dolphin an unusually simple TRG locus. The cDNA analysis reveal productive TRA/TRD transcripts and unusual ratios of productive/unproductive TRG transcripts. Comparing multiple different individuals, evidence is found for a "public" gamma delta TCR repertoire thus suggesting that in dolphins as in human the gamma delta TCR repertoire is accompanied by selection for public gamma chain.
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MESH Headings
- Amino Acid Sequence
- Animals
- Bottle-Nosed Dolphin/genetics
- Bottle-Nosed Dolphin/metabolism
- Gene Expression Profiling
- Gene Expression Regulation
- Genetic Loci
- Humans
- Molecular Sequence Data
- Phylogeny
- Protein Structure, Secondary
- RNA/blood
- RNA/isolation & purification
- RNA/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/classification
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell, gamma-delta/classification
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Sequence Alignment
- Skin/metabolism
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Affiliation(s)
- Giovanna Linguiti
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
| | - Rachele Antonacci
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
| | - Gianluca Tasco
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126 Bologna, Italy
| | - Francesco Grande
- Zoomarine Italia SpA, via Casablanca 61, 00071 Pomezia, RM Italy
| | - Rita Casadio
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126 Bologna, Italy
| | - Serafina Massari
- Department of Biological and Environmental Science e Technologies, University of Salento, via per Monteroni, 73100 Lecce, Italy
| | - Vito Castelli
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
| | - Arianna Consiglio
- CNR, Institute for Biomedical Technologies of Bari, via Amendola, 70125 Bari, Italy
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d’ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS 1142, University of Montpellier, 34396 Montpellier Cedex 5, France
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Aouinti S, Malouche D, Giudicelli V, Kossida S, Lefranc MP. Correction: IMGT/HighV-QUEST Statistical Significance of IMGT Clonotype (AA) Diversity per Gene for Standardized Comparisons of Next Generation Sequencing Immunoprofiles of Immunoglobulins and T Cell Receptors. PLoS One 2016; 11:e0146702. [PMID: 26731095 PMCID: PMC4711580 DOI: 10.1371/journal.pone.0146702] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Aouinti S, Malouche D, Giudicelli V, Kossida S, Lefranc MP. IMGT/HighV-QUEST Statistical Significance of IMGT Clonotype (AA) Diversity per Gene for Standardized Comparisons of Next Generation Sequencing Immunoprofiles of Immunoglobulins and T Cell Receptors. PLoS One 2015; 10:e0142353. [PMID: 26540440 PMCID: PMC4634997 DOI: 10.1371/journal.pone.0142353] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 09/18/2015] [Indexed: 11/26/2022] Open
Abstract
The adaptive immune responses of humans and of other jawed vertebrate species (gnasthostomata) are characterized by the B and T cells and their specific antigen receptors, the immunoglobulins (IG) or antibodies and the T cell receptors (TR) (up to 2.1012 different IG and TR per individual). IMGT, the international ImMunoGeneTics information system (http://www.imgt.org), was created in 1989 by Marie-Paule Lefranc (Montpellier University and CNRS) to manage the huge and complex diversity of these antigen receptors. IMGT built on IMGT-ONTOLOGY concepts of identification (keywords), description (labels), classification (gene and allele nomenclature) and numerotation (IMGT unique numbering), is at the origin of immunoinformatics, a science at the interface between immunogenetics and bioinformatics. IMGT/HighV-QUEST, the first web portal, and so far the only one, for the next generation sequencing (NGS) analysis of IG and TR, is the paradigm for immune repertoire standardized outputs and immunoprofiles of the adaptive immune responses. It provides the identification of the variable (V), diversity (D) and joining (J) genes and alleles, analysis of the V-(D)-J junction and complementarity determining region 3 (CDR3) and the characterization of the 'IMGT clonotype (AA)' (AA for amino acid) diversity and expression. IMGT/HighV-QUEST compares outputs of different batches, up to one million nucleotide sequencesfor the statistical module. These high throughput IG and TR repertoire immunoprofiles are of prime importance in vaccination, cancer, infectious diseases, autoimmunity and lymphoproliferative disorders, however their comparative statistical analysis still remains a challenge. We present a standardized statistical procedure to analyze IMGT/HighV-QUEST outputs for the evaluation of the significance of the IMGT clonotype (AA) diversity differences in proportions, per gene of a given group, between NGS IG and TR repertoire immunoprofiles. The procedure is generic and suitable for evaluating significance of the IMGT clonotype (AA) diversity and expression per gene, and for any IG and TR immunoprofiles of any species.
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Affiliation(s)
- Safa Aouinti
- IMGT, the international ImMunoGeneTics information system, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier cedex 5, France
- Higher School of Statistics and Information Analysis, University of Carthage, Tunis, Tunisia
- National School of Engineers of Tunis, Information Technology and Communications Department, Laboratory U2S, University of Tunis El-Manar, Tunis, Tunisia
| | - Dhafer Malouche
- Higher School of Statistics and Information Analysis, University of Carthage, Tunis, Tunisia
- National School of Engineers of Tunis, Information Technology and Communications Department, Laboratory U2S, University of Tunis El-Manar, Tunis, Tunisia
| | - Véronique Giudicelli
- IMGT, the international ImMunoGeneTics information system, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier cedex 5, France
| | - Sofia Kossida
- IMGT, the international ImMunoGeneTics information system, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier cedex 5, France
| | - Marie-Paule Lefranc
- IMGT, the international ImMunoGeneTics information system, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier cedex 5, France
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Piccinni B, Massari S, Caputi Jambrenghi A, Giannico F, Lefranc MP, Ciccarese S, Antonacci R. Sheep (Ovis aries) T cell receptor alpha (TRA) and delta (TRD) genes and genomic organization of the TRA/TRD locus. BMC Genomics 2015; 16:709. [PMID: 26383271 PMCID: PMC4574546 DOI: 10.1186/s12864-015-1790-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Accepted: 07/22/2015] [Indexed: 11/30/2022] Open
Abstract
Background In mammals, T cells develop along two discrete pathways characterized by expression of either the αβ or the γδ T cell receptors. Human and mouse display a low peripheral blood γδ T cell percentage ("γδ low species") while sheep, bovine and pig accounts for a high proportion of γδ T lymphocytes ("γδ high species"). While the T cell receptor alpha (TRA) and delta (TRD) genes and the genomic organization of the TRA/TRD locus has been determined in human and mouse, this information is still poorly known in artiodactyl species, such as sheep. Results The analysis of the current Ovis aries whole genome assembly, Oar_v3.1, revealed that, as in the other mammalian species, the sheep TRD locus is nested within the TRA locus. In the most 5’ part the TRA/TRD locus contains TRAV genes which are intermingled with TRDV genes, then TRD genes which include seven TRDD, four TRDJ genes, one TRDC and a single TRDV gene with an inverted transcriptional orientation, and finally in the most 3’ part, the TRA locus is completed by 61 TRAJ genes and one TRAC gene. Comparative sequence and analysis and annotation led to the identification of 66 TRAV genes assigned to 34 TRAV subgroups and 25 TRDV genes belonging to the TRDV1 subgroup, while one gene was found for each TRDV2, TRDV3 and TRDV4 subgroups. Multiple duplication events within several TRAV subgroups have generated the sheep TRAV germline repertoire, which is substantially larger than the human one. A significant proportion of these TRAV gene duplications seems to have occurred simultaneously with the amplification of the TRDV1 subgroup genes. This dynamic of expansion has also generated novel multigene subgroups, which are species-specific. Ovis aries TRA and TRD genes identified in this study were assigned IMGT definitive or temporary names and were approved by the IMGT/WHO-IUIS nomenclature committee. The completeness of the genome assembly in the 3' part of the locus has allowed us to interpret rearranged CDR3 of cDNA from both TRA and TRD chain repertoires. The involvement of one up to four TRDD genes into a single transcript makes the potential sheep TRD chain much larger than any known TR chain repertoire. Conclusions The sheep genome, as the bovine genome, contains a large and diverse repertoire of TRA and TRD genes when compared to the “γδ T cell low” species genomes. The composition and length of the rearranged CDR3 in TRD V-delta domains influence the three-dimensional configuration of the antigen-combining site thus suggesting that in ruminants, γδ T cells play a more important and specific role in immune recognition. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1790-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Barbara Piccinni
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universita' del Salento, Lecce, Italy. .,Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Serafina Massari
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universita' del Salento, Lecce, Italy.
| | - Anna Caputi Jambrenghi
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Francesco Giannico
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Marie-Paule Lefranc
- IMGT, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS 1142, Université Montpellier 2, 34396, Montpellier, Cedex 5, France.
| | - Salvatrice Ciccarese
- Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
| | - Rachele Antonacci
- Dipartimento di Biologia, Universita' degli Studi di Bari Aldo Moro, Bari, Italy.
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Li L, Wang XH, Williams C, Volsky B, Steczko O, Seaman MS, Luthra K, Nyambi P, Nadas A, Giudicelli V, Lefranc MP, Zolla-Pazner S, Gorny MK. A broad range of mutations in HIV-1 neutralizing human monoclonal antibodies specific for V2, V3, and the CD4 binding site. Mol Immunol 2015; 66:364-74. [PMID: 25965315 DOI: 10.1016/j.molimm.2015.04.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Revised: 04/16/2015] [Accepted: 04/20/2015] [Indexed: 12/25/2022]
Abstract
The HIV vaccine-induced neutralizing antibodies (Abs) display low rates of mutation in their variable regions. To determine the range of neutralization mediated by similar human monoclonal Abs (mAbs) but derived from unselected chronically HIV-1 infected subjects, we tested a panel of 66 mAbs specific to V3, CD4 binding site (CD4bs) and V2 regions. The mAbs were tested against 41 pseudoviruses, including 15 tier 1 and 26 tier 2, 3 viruses, showing that the neutralization potency and breadth of anti-V3 mAbs were significantly higher than those of the anti-CD4bs and anti-V2 mAbs, and only anti-V3 mAbs were able to neutralize some tier 2, 3 viruses. The percentage of mutations in the variable regions of the heavy (VH) and light (VL) chains varied broadly in a range from 2% to 18% and correlated moderately with the neutralization breadth of tier 2, 3 viruses. There was no correlation with neutralization of tier 1 viruses as some mAbs with low and high percentages of mutations neutralized the same number of viruses. The electrostatic interactions between anti-V3 mAbs and the charged V3 region may contribute to their neutralization because the isoelectric points of the VH CDR3 of 48 anti-V3 mAbs were inversely correlated with the neutralization breadth of tier 2, 3 viruses. The results demonstrate that infection-induced antibodies to CD4bs, V3 and V2 regions can mediate cross-clade neutralization despite low levels of mutations which can be achieved by HIV-1 vaccine-induced antibodies.
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Affiliation(s)
- Liuzhe Li
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Xiao-Hong Wang
- Veterans Affairs Medical Center, New York, NY 10010, USA
| | - Constance Williams
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Barbara Volsky
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Olivia Steczko
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Michael S Seaman
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Kalpana Luthra
- All India Institute of Medical Sciences, New Delhi, India
| | - Phillipe Nyambi
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Arthur Nadas
- Institute of Environmental Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Véronique Giudicelli
- IMGT(®), The International ImMunoGeneTics Information System(®), CNRS, Montpellier University, Montpellier, France
| | - Marie-Paule Lefranc
- IMGT(®), The International ImMunoGeneTics Information System(®), CNRS, Montpellier University, Montpellier, France
| | - Susan Zolla-Pazner
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Veterans Affairs Medical Center, New York, NY 10010, USA
| | - Miroslaw K Gorny
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA.
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Abstract
By its creation in 1989, IMGT(®), the international ImMunoGeneTics information system(®) ( http://www.imgt.org , CNRS and Université Montpellier 2), marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT(®) is the global reference in immunogenetics and immunoinformatics. The accuracy and the consistency of the IMGT(®) data are based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts, which comprise IMGT standardized labels (DESCRIPTION), IMGT gene and allele nomenclature (CLASSIFICATION), IMGT unique numbering, and IMGT Collier de Perles (NUMEROTATION). The IMGT(®) standards have bridged the gap between genes, sequences, and three-dimensional (3D) structures for the receptors, chains, and domains. Started specifically for the immunoglobulins (IG) or antibodies and T cell receptors (TR), the IMGT-ONTOLOGY concepts have been extended to conventional genes of the immunoglobulin superfamily (IgSF) and major histocompatibility (MH) superfamily (MhSF), members of which are defined by the presence of at least one variable (V) or constant (C) domain, or two groove (G) domains, respectively. In this chapter, we review the IMGT(®) definitive system for the V, C, and G domains, based on the IMGT-ONTOLOGY concepts of IMGT unique numbering and IMGT Collier de Perles.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire, LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Université Montpellier 2, 141 rue de la Cardonille, 34396, Montpellier cedex 5, France,
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Abstract
IMGT®, the international ImMunoGeneTics information system® (CNRS and Montpellier University) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989, IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH), and IgSF and MhSF superfamilies. IMGT® has been built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and three-dimensional (3D) structures. The concepts include the IMGT® standardized keywords (identification), IMGT® standardized labels (description), IMGT® standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT® comprises seven databases, 15,000 pages of web resources and 17 tools. IMGT® tools and databases provide a high-quality analysis of the IG from fish to humans, for basic, veterinary and medical research, and for antibody engineering and humanization. They include, as examples: IMGT/V-QUEST and IMGT/JunctionAnalysis for nucleotide sequence analysis and their high-throughput version IMGT/HighV-QUEST for next generation sequencing, IMGT/DomainGapAlign for amino acid sequence analysis of IG domains, IMGT/3Dstructure-DB for 3D structures, contact analysis and paratope/epitope interactions of IG/antigen complexes, and the IMGT/mAb-DB interface for therapeutic antibodies and fusion proteins for immunological applications (FPIA).
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, 141 rue de la Cardonille, 34396 Montpellier cedex 5, France.
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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 2014; 43:D413-22. [PMID: 25378316 PMCID: PMC4383898 DOI: 10.1093/nar/gku1056] [Citation(s) in RCA: 380] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics information system®(http://www.imgt.org) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) and proteins of the IgSF and MhSF superfamilies. IMGT® is built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and 3D structures. The concepts include the IMGT® standardized keywords (identification), IMGT® standardized labels (description), IMGT® standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT® comprises 7 databases, 17 online tools and 15 000 pages of web resources, and provides a high-quality and integrated system for analysis of the genomic and expressed IG and TR repertoire of the adaptive immune responses, including NGS high-throughput data. Tools and databases are used in basic, veterinary and medical research, in clinical applications (mutation analysis in leukemia and lymphoma) and in antibody engineering and humanization. The IMGT/mAb-DB interface was developed for therapeutic antibodies and fusion proteins for immunological applications (FPIA). IMGT® is freely available at http://www.imgt.org.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Véronique Giudicelli
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Patrice Duroux
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Joumana Jabado-Michaloud
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Géraldine Folch
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Safa Aouinti
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Emilie Carillon
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Hugo Duvergey
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Amélie Houles
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Typhaine Paysan-Lafosse
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Saida Hadi-Saljoqi
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Souphatta Sasorith
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Gérard Lefranc
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
| | - Sofia Kossida
- IMGT, the international ImMunoGeneTics information system, Université de Montpellier, Laboratoire d'ImmunoGénétique Moléculaire LIGM, UPR CNRS 1142, Institut de Génétique Humaine IGH, 141 rue de la Cardonille, Montpellier, 34396 cedex 5, France
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Baliakas P, Hadzidimitriou A, Sutton LA, Minga E, Agathangelidis A, Nichelatti M, Tsanousa A, Scarfò L, Davis Z, Yan XJ, Shanafelt T, Plevova K, Sandberg Y, Vojdeman FJ, Boudjogra M, Tzenou T, Chatzouli M, Chu CC, Veronese S, Gardiner A, Mansouri L, Smedby KE, Pedersen LB, van Lom K, Giudicelli V, Francova HS, Nguyen-Khac F, Panagiotidis P, Juliusson G, Angelis L, Anagnostopoulos A, Lefranc MP, Facco M, Trentin L, Catherwood M, Montillo M, Geisler CH, Langerak AW, Pospisilova S, Chiorazzi N, Oscier D, Jelinek DF, Darzentas N, Belessi C, Davi F, Rosenquist R, Ghia P, Stamatopoulos K. Clinical effect of stereotyped B-cell receptor immunoglobulins in chronic lymphocytic leukaemia: a retrospective multicentre study. Lancet Haematol 2014; 1:e74-84. [PMID: 27030157 DOI: 10.1016/s2352-3026(14)00005-2] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND About 30% of cases of chronic lymphocytic leukaemia (CLL) carry quasi-identical B-cell receptor immunoglobulins and can be assigned to distinct stereotyped subsets. Although preliminary evidence suggests that B-cell receptor immunoglobulin stereotypy is relevant from a clinical viewpoint, this aspect has never been explored in a systematic manner or in a cohort of adequate size that would enable clinical conclusions to be drawn. METHODS For this retrospective, multicentre study, we analysed 8593 patients with CLL for whom immunogenetic data were available. These patients were followed up in 15 academic institutions throughout Europe (in Czech Republic, Denmark, France, Greece, Italy, Netherlands, Sweden, and the UK) and the USA, and data were collected between June 1, 2012, and June 7, 2013. We retrospectively assessed the clinical implications of CLL B-cell receptor immunoglobulin stereotypy, with a particular focus on 14 major stereotyped subsets comprising cases expressing unmutated (U-CLL) or mutated (M-CLL) immunoglobulin heavy chain variable genes. The primary outcome of our analysis was time to first treatment, defined as the time between diagnosis and date of first treatment. FINDINGS 2878 patients were assigned to a stereotyped subset, of which 1122 patients belonged to one of 14 major subsets. Stereotyped subsets showed significant differences in terms of age, sex, disease burden at diagnosis, CD38 expression, and cytogenetic aberrations of prognostic significance. Patients within a specific subset generally followed the same clinical course, whereas patients in different stereotyped subsets-despite having the same immunoglobulin heavy variable gene and displaying similar immunoglobulin mutational status-showed substantially different times to first treatment. By integrating B-cell receptor immunoglobulin stereotypy (for subsets 1, 2, and 4) into the well established Döhner cytogenetic prognostic model, we showed these, which collectively account for around 7% of all cases of CLL and represent both U-CLL and M-CLL, constituted separate clinical entities, ranging from very indolent (subset 4) to aggressive disease (subsets 1 and 2). INTERPRETATION The molecular classification of chronic lymphocytic leukaemia based on B-cell receptor immunoglobulin stereotypy improves the Döhner hierarchical model and refines prognostication beyond immunoglobulin mutational status, with potential implications for clinical decision making, especially within prospective clinical trials. FUNDING European Union; General Secretariat for Research and Technology of Greece; AIRC; Italian Ministry of Health; AIRC Regional Project with Fondazione CARIPARO and CARIVERONA; Regione Veneto on Chronic Lymphocytic Leukemia; Nordic Cancer Union; Swedish Cancer Society; Swedish Research Council; and National Cancer Institute (NIH).
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Affiliation(s)
- Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Hematology Department and HCT Unit, G Papanicolaou Hospital, Thessaloniki, Greece
| | - Anastasia Hadzidimitriou
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
| | - Lesley-Ann Sutton
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Eva Minga
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
| | - Andreas Agathangelidis
- Università Vita-Salute San Raffaele, Milan, Italy; Division of Molecular Oncology and Department of Onco-Hematology, IRCCS, San Raffaele Scientific Institute, Milan, Italy
| | - Michele Nichelatti
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Athina Tsanousa
- Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Lydia Scarfò
- Università Vita-Salute San Raffaele, Milan, Italy; Division of Molecular Oncology and Department of Onco-Hematology, IRCCS, San Raffaele Scientific Institute, Milan, Italy
| | - Zadie Davis
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Xiao-Jie Yan
- The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, USA
| | - Tait Shanafelt
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Yorick Sandberg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Myriam Boudjogra
- Hôpital Pitié-Salpêtrière, Service d'Hématologie Biologique, Paris, France
| | - Tatiana Tzenou
- First Department of Propaedeutic Medicine, University of Athens, Athens, Greece
| | - Maria Chatzouli
- Hematology Department, Nikea General Hospital, Piraeus, Greece
| | - Charles C Chu
- The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, USA
| | - Silvio Veronese
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Anne Gardiner
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Larry Mansouri
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Karin E Smedby
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
| | | | - Kirsten van Lom
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Véronique Giudicelli
- IMGT-the International ImMunoGeneTics Information System, University of Montpellier, LIGM, Institut de Génétique Humaine IGH, Montpellier, France
| | - Hana Skuhrova Francova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | | | | | - Gunnar Juliusson
- Lund University and Hospital Department of Hematology, Lund Stem Cell Center, Lund, Sweden
| | - Lefteris Angelis
- Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Marie-Paule Lefranc
- IMGT-the International ImMunoGeneTics Information System, University of Montpellier, LIGM, Institut de Génétique Humaine IGH, Montpellier, France
| | - Monica Facco
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Italy; Venetian Institute of Molecular Medicine (VIMM), Padova, Italy
| | - Livio Trentin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Italy; Venetian Institute of Molecular Medicine (VIMM), Padova, Italy
| | - Mark Catherwood
- Department of Haemato-Oncology, Belfast City Hospital, Belfast, UK
| | - Marco Montillo
- Molecular Pathology Unit and Haematology Department, Niguarda Cancer Center, Niguarda Ca' Granda Hospital, Milan, Italy
| | | | - Anton W Langerak
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sarka Pospisilova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Nicholas Chiorazzi
- The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, USA
| | - David Oscier
- Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Diane F Jelinek
- Department of Immunology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nikos Darzentas
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | | | - Frederic Davi
- Hôpital Pitié-Salpêtrière, Service d'Hématologie Biologique, Paris, France
| | - Richard Rosenquist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Paolo Ghia
- Università Vita-Salute San Raffaele, Milan, Italy; Division of Molecular Oncology and Department of Onco-Hematology, IRCCS, San Raffaele Scientific Institute, Milan, Italy.
| | - Kostas Stamatopoulos
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Hematology Department and HCT Unit, G Papanicolaou Hospital, Thessaloniki, Greece; Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
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Alamyar E, Giudicelli V, Duroux P, Lefranc MP. Antibody V and C domain sequence, structure, and interaction analysis with special reference to IMGT®. Methods Mol Biol 2014; 1131:337-81. [PMID: 24515476 DOI: 10.1007/978-1-62703-992-5_21] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
IMGT(®), the international ImMunoGeneTics information system(®) (http://www.imgt.org), created in 1989 (Centre National de la Recherche Scientifique, Montpellier University), is acknowledged as the global reference in immunogenetics and immunoinformatics. The accuracy and the consistency of the IMGT(®) data are based on IMGT-ONTOLOGY which bridges the gap between genes, sequences, and three-dimensional (3D) structures. Thus, receptors, chains, and domains are characterized with the same IMGT(®) rules and standards (IMGT standardized labels, IMGT gene and allele nomenclature, IMGT unique numbering, IMGT Collier de Perles), independently from the molecule type (genomic DNA, complementary DNA, transcript, or protein) or from the species. More particularly, IMGT(®) tools and databases provide a highly standardized analysis of the immunoglobulin (IG) or antibody and T cell receptor (TR) V and C domains. IMGT/V-QUEST analyzes the V domains of IG or TR rearranged nucleotide sequences, integrates the IMGT/JunctionAnalysis and IMGT/Automat tools, and provides IMGT Collier de Perles. IMGT/HighV-QUEST analyzes sequences from high-throughput sequencing (HTS) (up to 150,000 sequences per batch) and performs statistical analysis on up to 450,000 results, with the same resolution and high quality as IMGT/V-QUEST online. IMGT/DomainGapAlign analyzes amino acid sequences of V and C domains and IMGT/3Dstructure-DB and associated tools provide information on 3D structures, contact analysis, and paratope/epitope interactions. These IMGT(®) tools and databases, and the IMGT/mAb-DB interface with access to therapeutical antibody data, provide an invaluable help for antibody engineering and antibody humanization.
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Affiliation(s)
- Eltaf Alamyar
- The International ImMunoGenetics information system, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine IGH, Université Montpellier 2, Montpellier, France
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Ciccarese S, Vaccarelli G, Lefranc MP, Tasco G, Consiglio A, Casadio R, Linguiti G, Antonacci R. Characteristics of the somatic hypermutation in the Camelus dromedarius T cell receptor gamma (TRG) and delta (TRD) variable domains. Dev Comp Immunol 2014; 46:300-13. [PMID: 24836674 DOI: 10.1016/j.dci.2014.05.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 05/05/2014] [Accepted: 05/05/2014] [Indexed: 05/05/2023]
Abstract
In previous reports, we had shown in Camelus dromedarius that diversity in T cell receptor gamma (TRG) and delta (TRD) variable domains can be generated by somatic hypermutation (SHM). In the present paper, we further the previous finding by analyzing 85 unique spleen cDNA sequences encoding a total of 331 mutations from a single animal, and comparing the properties of the mutation profiles of dromedary TRG and TRD variable domains. The transition preference and the significant mutation frequency in the AID motifs (dgyw/wrch and wa/tw) demonstrate a strong dependence of the enzymes mediating SHM in TRG and TRD genes of dromedary similar to that of immunoglobulin genes in mammals. Overall, results reveal no asymmetry in the motifs targeting, i.e. mutations are equally distributed among g:c and a:t base pairs and replacement mutations are favored at the AID motifs, whereas neutral mutations appear to be more prone to accumulate in bases outside of the motifs. A detailed analysis of clonal lineages in TRG and TRD cDNA sequences also suggests that clonal expansion of mutated productive rearrangements may be crucial in shaping the somatic diversification in the dromedary. This is confirmed by the fact that our structural models, computed by adopting a comparative procedure, are consistent with the possibility that, irrespective of where (in the CDR-IMGT or in FR-IMGT) the diversity was generated by mutations, both clonal expansion and selection seem to be strictly related to an enhanced structural stability of the γδ subunits.
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MESH Headings
- Amino Acid Sequence
- Animals
- Base Sequence
- Camelus/genetics
- Gene Rearrangement, delta-Chain T-Cell Antigen Receptor
- Gene Rearrangement, gamma-Chain T-Cell Antigen Receptor
- Models, Molecular
- Molecular Sequence Data
- Mutation Rate
- Protein Structure, Secondary
- Protein Structure, Tertiary
- Receptors, Antigen, T-Cell, gamma-delta/chemistry
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Sequence Analysis, DNA
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Affiliation(s)
| | - Giovanna Vaccarelli
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
| | - Marie-Paule Lefranc
- IMGT, Laboratoire d'ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UPR CNRS 1142, Université Montpellier 2, 34396 Montpellier Cedex 5, France
| | - Gianluca Tasco
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126 Bologna, Italy
| | - Arianna Consiglio
- CNR, Institute for Biomedical Technologies of Bari, via Amendola, 70125 Bari, Italy
| | - Rita Casadio
- Biocomputing Group, CIRI-Health Science and Technologies/Department of Biology, University of Bologna, via Selmi 3, 40126 Bologna, Italy
| | - Giovanna Linguiti
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
| | - Rachele Antonacci
- Department of Biology, University of Bari, via E. Orabona 4, 70125 Bari, Italy
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