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Shrock EL, Timms RT, Kula T, Mena EL, West AP, Guo R, Lee IH, Cohen AA, McKay LGA, Bi C, Keerti, Leng Y, Fujimura E, Horns F, Li M, Wesemann DR, Griffiths A, Gewurz BE, Bjorkman PJ, Elledge SJ. Germline-encoded amino acid-binding motifs drive immunodominant public antibody responses. Science 2023; 380:eadc9498. [PMID: 37023193 PMCID: PMC10273302 DOI: 10.1126/science.adc9498] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 03/03/2023] [Indexed: 04/08/2023]
Abstract
Despite the vast diversity of the antibody repertoire, infected individuals often mount antibody responses to precisely the same epitopes within antigens. The immunological mechanisms underpinning this phenomenon remain unknown. By mapping 376 immunodominant "public epitopes" at high resolution and characterizing several of their cognate antibodies, we concluded that germline-encoded sequences in antibodies drive recurrent recognition. Systematic analysis of antibody-antigen structures uncovered 18 human and 21 partially overlapping mouse germline-encoded amino acid-binding (GRAB) motifs within heavy and light V gene segments that in case studies proved critical for public epitope recognition. GRAB motifs represent a fundamental component of the immune system's architecture that promotes recognition of pathogens and leads to species-specific public antibody responses that can exert selective pressure on pathogens.
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Affiliation(s)
- Ellen L. Shrock
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
| | - Richard T. Timms
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
- Present address: Society of Fellows, Harvard University, Cambridge, MA 02138, USA
| | - Elijah L. Mena
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Anthony P. West
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Rui Guo
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - I-Hsiu Lee
- Center for Systems Biology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexander A. Cohen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Lindsay G. A. McKay
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Caihong Bi
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Keerti
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Yumei Leng
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric Fujimura
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Felix Horns
- Department of Bioengineering, Department of Applied Physics, Chan Zuckerberg Biohub and Stanford University, Stanford, CA 94305, USA
| | - Mamie Li
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Duane R. Wesemann
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139 USA
| | - Anthony Griffiths
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Benjamin E. Gewurz
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Pamela J. Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Stephen J. Elledge
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
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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] [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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Hsiao YC, Chen YJJ, Goldstein LD, Wu J, Lin Z, Schneider K, Chaudhuri S, Antony A, Bajaj Pahuja K, Modrusan Z, Seshasayee D, Seshagiri S, Hötzel I. Restricted epitope specificity determined by variable region germline segment pairing in rodent antibody repertoires. MAbs 2021; 12:1722541. [PMID: 32041466 PMCID: PMC7039645 DOI: 10.1080/19420862.2020.1722541] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Antibodies from B-cell clonal lineages share sequence and structural properties as well as epitope specificity. Clonally unrelated antibodies can similarly share sequence and specificity properties and are said to be convergent. Convergent antibody responses against several antigens have been described in humans and mice and include different classes of shared sequence features. In particular, some antigens and epitopes can induce convergent responses of clonally unrelated antibodies with restricted heavy (VH) and light (VL) chain variable region germline segment usage without similarity in the heavy chain third complementarity-determining region (CDR H3), a critical specificity determinant. Whether these V germline segment-restricted responses reflect a general epitope specificity restriction of antibodies with shared VH/VL pairing is not known. Here, we investigated this question by determining patterns of antigen binding competition between clonally unrelated antigen-specific rat antibodies from paired-chain deep sequencing datasets selected based solely on VH/VL pairing. We found that antibodies with shared VH/VL germline segment pairings but divergent CDR H3 sequences almost invariably have restricted epitope specificity indicated by shared binding competition patterns. This epitope restriction included 82 of 85 clonally unrelated antibodies with 13 different VH/VL pairings binding in 8 epitope groups in 2 antigens. The corollary that antibodies with shared VH/VL pairing and epitope-restricted binding can accommodate widely divergent CDR H3 sequences was confirmed by in vitro selection of variants of anti-human epidermal growth factor receptor 2 antibodies known to mediate critical antigen interactions through CDR H3. Our results show that restricted epitope specificity determined by VH/VL germline segment pairing is a general property of rodent antigen-specific antibodies.
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Affiliation(s)
- Yi-Chun Hsiao
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
| | - Ying-Jiun J Chen
- Department of Molecular Biology, Genentech, South San Francisco, CA, USA
| | - Leonard D Goldstein
- Department of Molecular Biology, Genentech, South San Francisco, CA, USA.,Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA
| | - Jia Wu
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
| | - Zhonghua Lin
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
| | - Kellen Schneider
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
| | - Subhra Chaudhuri
- Department of Molecular Biology, Genentech, South San Francisco, CA, USA
| | - Aju Antony
- Department of Molecular Biology, SciGenom Labs, Cochin, India
| | | | - Zora Modrusan
- Department of Molecular Biology, Genentech, South San Francisco, CA, USA
| | - Dhaya Seshasayee
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
| | | | - Isidro Hötzel
- Department of Antibody Engineering, Genentech, South San Francisco, CA, USA
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Lefranc MP, Lefranc G. Immunoglobulins or Antibodies: IMGT ® Bridging Genes, Structures and Functions. Biomedicines 2020; 8:E319. [PMID: 32878258 PMCID: PMC7555362 DOI: 10.3390/biomedicines8090319] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/18/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics® information system founded in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science at the interface between immunogenetics and bioinformatics. For the first time, the immunoglobulin (IG) or antibody and T cell receptor (TR) genes were officially recognized as 'genes' as well as were conventional genes. This major breakthrough has allowed the entry, in genomic databases, of the IG and TR variable (V), diversity (D) and joining (J) genes and alleles of Homo sapiens and of other jawed vertebrate species, based on the CLASSIFICATION axiom. The second major breakthrough has been the IMGT unique numbering and the IMGT Collier de Perles for the V and constant (C) domains of the IG and TR and other proteins of the IG superfamily (IgSF), based on the NUMEROTATION axiom. IMGT-ONTOLOGY axioms and concepts bridge genes, sequences, structures and functions, between biological and computational spheres in the IMGT® system (Web resources, databases and tools). They provide the IMGT Scientific chart rules to identify, to describe and to analyse the IG complex molecular data, the huge diversity of repertoires, the genetic (alleles, allotypes, CNV) polymorphisms, the IG dual function (paratope/epitope, effector properties), the antibody humanization and engineering.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
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5
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Liu J, Yang B, Ke J, Li W, Suen WC. Antibody-Based Drugs and Approaches Against Amyloid-β Species for Alzheimer’s Disease Immunotherapy. Drugs Aging 2016; 33:685-697. [DOI: 10.1007/s40266-016-0406-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chen HS, Hou SC, Jian JW, Goh KS, Shen ST, Lee YC, You JJ, Peng HP, Kuo WC, Chen ST, Peng MC, Wang AHJ, Yu CM, Chen IC, Tung CP, Chen TH, Ping Chiu K, Ma C, Yuan Wu C, Lin SW, Yang AS. Predominant structural configuration of natural antibody repertoires enables potent antibody responses against protein antigens. Sci Rep 2015. [PMID: 26202883 PMCID: PMC5378893 DOI: 10.1038/srep12411] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Humoral immunity against diverse pathogens is rapidly elicited from natural antibody repertoires of limited complexity. But the organizing principles underlying the antibody repertoires that facilitate this immunity are not well-understood. We used HER2 as a model immunogen and reverse-engineered murine antibody response through constructing an artificial antibody library encoded with rudimentary sequence and structural characteristics learned from high throughput sequencing of antibody variable domains. Antibodies selected in vitro from the phage-displayed synthetic antibody library bound to the model immunogen with high affinity and specificities, which reproduced the specificities of natural antibody responses. We conclude that natural antibody structural repertoires are shaped to allow functional antibodies to be encoded efficiently, within the complexity limit of an individual antibody repertoire, to bind to diverse protein antigens with high specificity and affinity. Phage-displayed synthetic antibody libraries, in conjunction with high-throughput sequencing, can thus be designed to replicate natural antibody responses and to generate novel antibodies against diverse antigens.
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Affiliation(s)
- Hong-Sen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Shin-Chen Hou
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Jhih-Wei Jian
- 1] Genomics Research Center, Academia Sinica, Taipei, Taiwan 115 [2] Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan 112 [3] Bioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei, Taiwan 115
| | - King-Siang Goh
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - San-Tai Shen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Yu-Ching Lee
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Jhong-Jhe You
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Hung-Pin Peng
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Wen-Chih Kuo
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan 115
| | - Shui-Tsung Chen
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan 115
| | - Ming-Chi Peng
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan 115
| | - Andrew H-J Wang
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan 115
| | - Chung-Ming Yu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Ing-Chien Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Chao-Ping Tung
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Tzu-Han Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Kuo Ping Chiu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Che Ma
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Chih Yuan Wu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
| | - Sheng-Wei Lin
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan 115
| | - An-Suei Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan 115
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Lefranc MP. Immunoglobulins: 25 years of immunoinformatics and IMGT-ONTOLOGY. Biomolecules 2014; 4:1102-39. [PMID: 25521638 PMCID: PMC4279172 DOI: 10.3390/biom4041102] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 12/02/2014] [Accepted: 12/03/2014] [Indexed: 11/17/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics information system® (CNRS and Montpellier University) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989, IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH), and IgSF and MhSF superfamilies. IMGT® has been built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and three-dimensional (3D) structures. The concepts include the IMGT® standardized keywords (identification), IMGT® standardized labels (description), IMGT® standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT® comprises seven databases, 15,000 pages of web resources and 17 tools. IMGT® tools and databases provide a high-quality analysis of the IG from fish to humans, for basic, veterinary and medical research, and for antibody engineering and humanization. They include, as examples: IMGT/V-QUEST and IMGT/JunctionAnalysis for nucleotide sequence analysis and their high-throughput version IMGT/HighV-QUEST for next generation sequencing, IMGT/DomainGapAlign for amino acid sequence analysis of IG domains, IMGT/3Dstructure-DB for 3D structures, contact analysis and paratope/epitope interactions of IG/antigen complexes, and the IMGT/mAb-DB interface for therapeutic antibodies and fusion proteins for immunological applications (FPIA).
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, 141 rue de la Cardonille, 34396 Montpellier cedex 5, France.
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Antimisiaris S, Mourtas S, Markoutsa E, Skouras A, Papadia K. Nanoparticles for Diagnosis and/or Treatment of Alzheimer's Disease. Adv Healthc Mater 2014. [DOI: 10.1002/9781118774205.ch4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Brännström K, Lindhagen-Persson M, Gharibyan AL, Iakovleva I, Vestling M, Sellin ME, Brännström T, Morozova-Roche L, Forsgren L, Olofsson A. A generic method for design of oligomer-specific antibodies. PLoS One 2014; 9:e90857. [PMID: 24618582 PMCID: PMC3949727 DOI: 10.1371/journal.pone.0090857] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2013] [Accepted: 02/06/2014] [Indexed: 01/07/2023] Open
Abstract
Antibodies that preferentially and specifically target pathological oligomeric protein and peptide assemblies, as opposed to their monomeric and amyloid counterparts, provide therapeutic and diagnostic opportunities for protein misfolding diseases. Unfortunately, the molecular properties associated with oligomer-specific antibodies are not well understood, and this limits targeted design and development. We present here a generic method that enables the design and optimisation of oligomer-specific antibodies. The method takes a two-step approach where discrimination between oligomers and fibrils is first accomplished through identification of cryptic epitopes exclusively buried within the structure of the fibrillar form. The second step discriminates between monomers and oligomers based on differences in avidity. We show here that a simple divalent mode of interaction, as within e.g. the IgG isotype, can increase the binding strength of the antibody up to 1500 times compared to its monovalent counterpart. We expose how the ability to bind oligomers is affected by the monovalent affinity and the turnover rate of the binding and, importantly, also how oligomer specificity is only valid within a specific concentration range. We provide an example of the method by creating and characterising a spectrum of different monoclonal antibodies against both the Aβ peptide and α-synuclein that are associated with Alzheimer's and Parkinson's diseases, respectively. The approach is however generic, does not require identification of oligomer-specific architectures, and is, in essence, applicable to all polypeptides that form oligomeric and fibrillar assemblies.
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Affiliation(s)
| | | | - Anna L. Gharibyan
- Department of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden
| | - Irina Iakovleva
- Department of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden
| | - Monika Vestling
- Department of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden
| | | | | | | | - Lars Forsgren
- Department of Clinical Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Anders Olofsson
- Department of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden
- * E-mail:
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Lefranc MP. Immunoglobulin and T Cell Receptor Genes: IMGT(®) and the Birth and Rise of Immunoinformatics. Front Immunol 2014; 5:22. [PMID: 24600447 PMCID: PMC3913909 DOI: 10.3389/fimmu.2014.00022] [Citation(s) in RCA: 158] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 01/15/2014] [Indexed: 11/13/2022] Open
Abstract
IMGT(®), the international ImMunoGeneTics information system(®) (1), (CNRS and Université Montpellier 2) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989, IMGT(®) marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT(®) is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH), and proteins of the IgSF and MhSF superfamilies. IMGT(®) has been built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences, and three-dimensional (3D) structures. The concepts include the IMGT(®) standardized keywords (concepts of identification), IMGT(®) standardized labels (concepts of description), IMGT(®) standardized nomenclature (concepts of classification), IMGT unique numbering, and IMGT Colliers de Perles (concepts of numerotation). IMGT(®) comprises seven databases, 15,000 pages of web resources, and 17 tools, and provides a high-quality and integrated system for the analysis of the genomic and expressed IG and TR repertoire of the adaptive immune responses. Tools and databases are used in basic, veterinary, and medical research, in clinical applications (mutation analysis in leukemia and lymphoma) and in antibody engineering and humanization. They include, for example IMGT/V-QUEST and IMGT/JunctionAnalysis for nucleotide sequence analysis and their high-throughput version IMGT/HighV-QUEST for next-generation sequencing (500,000 sequences per batch), IMGT/DomainGapAlign for amino acid sequence analysis of IG and TR variable and constant domains and of MH groove domains, IMGT/3Dstructure-DB for 3D structures, contact analysis and paratope/epitope interactions of IG/antigen and TR/peptide-MH complexes and IMGT/mAb-DB interface for therapeutic antibodies and fusion proteins for immune applications (FPIA).
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Affiliation(s)
- Marie-Paule Lefranc
- The International ImMunoGenetics Information System (IMGT), Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine, UPR CNRS, Université Montpellier 2, Montpellier, France
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11
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Serpente M, Bonsi R, Scarpini E, Galimberti D. Innate immune system and inflammation in Alzheimer's disease: from pathogenesis to treatment. Neuroimmunomodulation 2014; 21:79-87. [PMID: 24557039 DOI: 10.1159/000356529] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Immune activation and inflammation, likely triggered by amyloid-beta (Aβ) deposition, play a remarkable role in the pathogenesis of Alzheimer's disease (AD), which is the most frequent cause of dementia in the elderly. The principal cellular elements of the brain innate immune system likely to be involved in such processes are microglia. In an attempt to search for new disease-modifying drugs, the immune system has been addressed, with the aim of removing deposition of Aβ or tau by developing vaccines and humanized monoclonal antibodies. The aim of this review is to summarize the current evidence regarding the role played by microglia and inflammatory molecules in the pathogenesis of AD. In addition, we will discuss the main active and passive immunotherapeutic approaches.
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Affiliation(s)
- Maria Serpente
- Neurology Unit, Department of Pathophysiology and Transplantation, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
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González-Menéndez P, García-Ocaña M, de los Toyos JR. A deeper analysis of the epitope/paratope of PLY-5, a mouse monoclonal antibody which recognises the conserved undecapeptide tryptophan-rich loop (ECTGLAWEWWR) of bacterial cholesterol-dependent cytolysins. Biochem Biophys Res Commun 2013; 430:14-19. [PMID: 23159621 DOI: 10.1016/j.bbrc.2012.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Accepted: 11/04/2012] [Indexed: 06/01/2023]
Abstract
A previous study showed that the minimal epitope recognised by the PLY-5 mAb in the conserved undecapeptide Trp-rich loop of bacterial CDCs should consist of WEWWRT (Jacobs et al., 1999) [5]. Now, through immunoscreening of amino acid substitution analogues, it is concluded that the second Trp and the Arg residues are essential in the PLY-5 epitope. The E residue is an auxiliary epitope contributor. Antibody modelling and docking simulations provided support for these findings. For recognition by the antibody, the Trp-rich loop flipped out, mimicking the mechanism of membrane insertion. The displaced second Trp was seen to establish aromatic stacking interactions with aromatic residues of the antibody paratope and the notably extruded guanidium tip of the arginine residue mediated electrostatic interactions with well-exposed carboxylic groups of glutamic residues on the surface of the paratope. Thus, the epitope/paratope interaction is mainly mediated by aromatic and by ionic interactions.
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On the meaning of affinity limits in B-cell epitope prediction for antipeptide antibody-mediated immunity. Adv Bioinformatics 2012; 2012:346765. [PMID: 23209458 PMCID: PMC3505629 DOI: 10.1155/2012/346765] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2012] [Accepted: 09/26/2012] [Indexed: 11/17/2022] Open
Abstract
B-cell epitope prediction aims to aid the design of peptide-based immunogens (e.g., vaccines) for eliciting antipeptide antibodies that protect against disease, but such antibodies fail to confer protection and even promote disease if they bind with low affinity. Hence, the Immune Epitope Database (IEDB) was searched to obtain published thermodynamic and kinetic data on binding interactions of antipeptide antibodies. The data suggest that the affinity of the antibodies for their immunizing peptides appears to be limited in a manner consistent with previously proposed kinetic constraints on affinity maturation in vivo and that cross-reaction of the antibodies with proteins tends to occur with lower affinity than the corresponding reaction of the antibodies with their immunizing peptides. These observations better inform B-cell epitope prediction to avoid overestimating the affinity for both active and passive immunization; whereas active immunization is subject to limitations of affinity maturation in vivo and of the capacity to accumulate endogenous antibodies, passive immunization may transcend such limitations, possibly with the aid of artificial affinity-selection processes and of protein engineering. Additionally, protein disorder warrants further investigation as a possible supplementary criterion for B-cell epitope prediction, where such disorder obviates thermodynamically unfavorable protein structural adjustments in cross-reactions between antipeptide antibodies and proteins.
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Robert R, Wark KL. Engineered antibody approaches for Alzheimer's disease immunotherapy. Arch Biochem Biophys 2012; 526:132-8. [PMID: 22475448 DOI: 10.1016/j.abb.2012.02.022] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Revised: 02/21/2012] [Accepted: 02/24/2012] [Indexed: 12/15/2022]
Abstract
The accumulation of amyloid-β-peptide (Aβ or A-beta) in the brain is considered to be a key event in the pathogenesis of Alzheimer's disease (AD). Over the last decade, antibody strategies aimed at reducing high levels of Aβ in the brain and or neutralizing its toxic effects have emerged as one of the most promising treatments for AD. Early approaches using conventional antibody formats demonstrated the potential of immunotherapy, but also caused a range of undesirable side effects such meningoencephalitis, vasogenic edema or cerebral microhemorrhages in both murine and humans. This prompted the exploration of alternative approaches using engineered antibodies to avoid adverse immunological responses and provide a safer and more effective therapy. Encouraging results have been obtained using a range of recombinant antibody formats including, single chain antibodies, antibody domains, intrabodies, bispecific antibodies as well as Fc-engineered antibodies in transgenic AD mouse and primate models. This review will address recent progress using these recombinant antibodies against Aβ, highlighting their advantages over conventional monoclonal antibodies and delivery methods.
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Affiliation(s)
- Remy Robert
- Department of Immunology (Clayton), Monash University, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Services, Clayton, Victoria 3800, Australia.
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