Literature DB >> 32409582

How repertoire data are changing antibody science.

Claire Marks1, Charlotte M Deane2.   

Abstract

Antibodies are vital proteins of the immune system that recognize potentially harmful molecules and initiate their removal. Mammals can efficiently create vast numbers of antibodies with different sequences capable of binding to any antigen with high affinity and specificity. Because they can be developed to bind to many disease agents, antibodies can be used as therapeutics. In an organism, after antigen exposure, antibodies specific to that antigen are enriched through clonal selection, expansion, and somatic hypermutation. The antibodies present in an organism therefore report on its immune status, describe its innate ability to deal with harmful substances, and reveal how it has previously responded. Next-generation sequencing technologies are being increasingly used to query the antibody, or B-cell receptor (BCR), sequence repertoire, and the amount of BCR data in public repositories is growing. The Observed Antibody Space database, for example, currently contains over a billion sequences from 68 different studies. Repertoires are available that represent both the naive state (i.e. antigen-inexperienced) and that after immunization. This wealth of data has created opportunities to learn more about our immune system. In this review, we discuss the many ways in which BCR repertoire data have been or could be exploited. We highlight its utility for providing insights into how the naive immune repertoire is generated and how it responds to antigens. We also consider how structural information can be used to enhance these data and may lead to more accurate depictions of the sequence space and to applications in the discovery of new therapeutics.
© 2020 Marks and Deane.

Keywords:  B-cell receptor (BCR); adaptive immunity; antibody; bioinformatics; immunology; next-generation sequencing; observed antibody space database; protein sequence; protein structure; structural annotation

Mesh:

Substances:

Year:  2020        PMID: 32409582      PMCID: PMC7380193          DOI: 10.1074/jbc.REV120.010181

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  179 in total

1.  A new clustering of antibody CDR loop conformations.

Authors:  Benjamin North; Andreas Lehmann; Roland L Dunbrack
Journal:  J Mol Biol       Date:  2010-10-28       Impact factor: 5.469

Review 2.  Comparison of immune system development in nonclinical species and humans: Closing information gaps for immunotoxicity testing and human translatability.

Authors:  H Skaggs; G J Chellman; M Collinge; B Enright; C L Fuller; J Krayer; L Sivaraman; G F Weinbauer
Journal:  Reprod Toxicol       Date:  2019-06-21       Impact factor: 3.143

3.  De novo identification of VRC01 class HIV-1-neutralizing antibodies by next-generation sequencing of B-cell transcripts.

Authors:  Jiang Zhu; Xueling Wu; Baoshan Zhang; Krisha McKee; Sijy O'Dell; Cinque Soto; Tongqing Zhou; Joseph P Casazza; James C Mullikin; Peter D Kwong; John R Mascola; Lawrence Shapiro
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-08       Impact factor: 11.205

4.  Synthetic antibodies designed on natural sequence landscapes.

Authors:  Wenwu Zhai; Jacob Glanville; Markus Fuhrmann; Li Mei; Irene Ni; Purnima D Sundar; Thomas Van Blarcom; Yasmina Abdiche; Kevin Lindquist; Ralf Strohner; Dilduz Telman; Guido Cappuccilli; William J J Finlay; Jan Van den Brulle; David R Cox; Jaume Pons; Arvind Rajpal
Journal:  J Mol Biol       Date:  2011-07-23       Impact factor: 5.469

5.  High-resolution modeling of antibody structures by a combination of bioinformatics, expert knowledge, and molecular simulations.

Authors:  Hiroki Shirai; Kazuyoshi Ikeda; Kazuo Yamashita; Yuko Tsuchiya; Jamica Sarmiento; Shide Liang; Tatsuaki Morokata; Kenji Mizuguchi; Junichi Higo; Daron M Standley; Haruki Nakamura
Journal:  Proteins       Date:  2014-05-13

6.  Mining for the antibody-antigen interacting associations that predict the B cell epitopes.

Authors:  Liang Zhao; Jinyan Li
Journal:  BMC Struct Biol       Date:  2010-05-17

7.  ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation.

Authors:  Jinwoo Leem; James Dunbar; Guy Georges; Jiye Shi; Charlotte M Deane
Journal:  MAbs       Date:  2016-07-08       Impact factor: 5.857

Review 8.  Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.

Authors:  Chaim A Schramm; Daniel C Douek
Journal:  Front Immunol       Date:  2018-08-14       Impact factor: 7.561

9.  Composition and diversity analysis of the B-cell receptor immunoglobulin heavy chain complementarity-determining region 3 repertoire in patients with acute rejection after kidney transplantation using high-throughput sequencing.

Authors:  Liusheng Lai; Xianqing Zhou; Huaizhou Chen; Yadan Luo; Weiguo Sui; Jiaxing Zhang; Donge Tang; Qiang Yan; Yong Dai
Journal:  Exp Ther Med       Date:  2019-01-17       Impact factor: 2.447

10.  Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice.

Authors:  Aleksandr Kovaltsuk; Matthew I J Raybould; Wing Ki Wong; Claire Marks; Sebastian Kelm; James Snowden; Johannes Trück; Charlotte M Deane
Journal:  PLoS Comput Biol       Date:  2020-02-18       Impact factor: 4.475

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  11 in total

1.  Deciphering the language of antibodies using self-supervised learning.

Authors:  Jinwoo Leem; Laura S Mitchell; James H R Farmery; Justin Barton; Jacob D Galson
Journal:  Patterns (N Y)       Date:  2022-05-18

Review 2.  A perspective toward mass spectrometry-based de novo sequencing of endogenous antibodies.

Authors:  Sebastiaan C de Graaf; Max Hoek; Sem Tamara; Albert J R Heck
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

3.  Artificial intelligence for antibody reading comprehension: AntiBERTa.

Authors:  Yoonjoo Choi
Journal:  Patterns (N Y)       Date:  2022-07-08

Review 4.  Progress toward improved understanding of antibody maturation.

Authors:  Sandor Vajda; Kathryn A Porter; Dima Kozakov
Journal:  Curr Opin Struct Biol       Date:  2021-02-17       Impact factor: 6.809

Review 5.  Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics.

Authors:  Rahul Khetan; Robin Curtis; Charlotte M Deane; Johannes Thorling Hadsund; Uddipan Kar; Konrad Krawczyk; Daisuke Kuroda; Sarah A Robinson; Pietro Sormanni; Kouhei Tsumoto; Jim Warwicker; Andrew C R Martin
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

6.  Protein design and variant prediction using autoregressive generative models.

Authors:  Jung-Eun Shin; Adam J Riesselman; Aaron W Kollasch; Conor McMahon; Elana Simon; Chris Sander; Aashish Manglik; Andrew C Kruse; Debora S Marks
Journal:  Nat Commun       Date:  2021-04-23       Impact factor: 14.919

7.  Animal immunization merges with innovative technologies: A new paradigm shift in antibody discovery.

Authors:  Ponraj Prabakaran; Sambasiva P Rao; Maria Wendt
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

8.  Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences.

Authors:  Tobias H Olsen; Fergus Boyles; Charlotte M Deane
Journal:  Protein Sci       Date:  2021-10-29       Impact factor: 6.725

9.  Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies.

Authors:  Sarah A Robinson; Matthew I J Raybould; Constantin Schneider; Wing Ki Wong; Claire Marks; Charlotte M Deane
Journal:  PLoS Comput Biol       Date:  2021-12-13       Impact factor: 4.475

10.  Antibody Repertoire Analysis of Tumor-Infiltrating B Cells Reveals Distinct Signatures and Distributions Across Tissues.

Authors:  Ligal Aizik; Yael Dror; David Taussig; Adi Barzel; Yaron Carmi; Yariv Wine
Journal:  Front Immunol       Date:  2021-07-19       Impact factor: 7.561

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