Literature DB >> 33325481

ClonoMatch: a tool for identifying homologous immunoglobulin and T cell receptor sequences in large databases.

Taylor Jones1, Samuel B Day1, Luke Myers1, James E Crowe1,2,3, Cinque Soto1,2.   

Abstract

SUMMARY: B cell receptor (BCR) and T cell receptor (TCR) repertoires are generated through somatic DNA rearrangements and are responsible for the molecular basis of antigen recognition in the immune system. Next-generation sequencing (NGS) of DNA and the falling cost of sequencing due to continued development of these technologies have made sequencing assays an affordable way to characterize the repertoire of adaptive immune receptors (sometimes termed the 'immunome'). Many new workflows have been developed to take advantage of NGS and have placed the resulting immunome datasets in the public domain. The scale of these NGS datasets has made it challenging to search through the Complementarity-determining region 3 (CDR3), which is responsible for imparting specific antibody-antigen interactions. Thus, there is an increasing demand for sequence analysis tools capable of searching through CDR3s from immunome data collections containing millions of sequences. To address this need, we created a software package called ClonoMatch that facilitates rapid searches in bulk immunome data for BCR or TCR sequences based on their CDR3 sequence or V3J clonotype.
AVAILABILITY AND IMPLEMENTATION: Documentation, software support and the codebase are all available at https://github.com/crowelab/clonomatch. This software is distributed under the GPL v3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Year:  2020        PMID: 33325481      PMCID: PMC8023686          DOI: 10.1093/bioinformatics/btaa1028

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

1.  Diversity in the CDR3 region of V(H) is sufficient for most antibody specificities.

Authors:  J L Xu; M M Davis
Journal:  Immunity       Date:  2000-07       Impact factor: 31.745

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires.

Authors:  Aleksandr Kovaltsuk; Jinwoo Leem; Sebastian Kelm; James Snowden; Charlotte M Deane; Konrad Krawczyk
Journal:  J Immunol       Date:  2018-09-14       Impact factor: 5.422

4.  High frequency of shared clonotypes in human B cell receptor repertoires.

Authors:  Cinque Soto; Robin G Bombardi; Andre Branchizio; Nurgun Kose; Pranathi Matta; Alexander M Sevy; Robert S Sinkovits; Pavlo Gilchuk; Jessica A Finn; James E Crowe
Journal:  Nature       Date:  2019-02-13       Impact factor: 49.962

Review 5.  iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories.

Authors:  Brian D Corrie; Nishanth Marthandan; Bojan Zimonja; Jerome Jaglale; Yang Zhou; Emily Barr; Nicole Knoetze; Frances M W Breden; Scott Christley; Jamie K Scott; Lindsay G Cowell; Felix Breden
Journal:  Immunol Rev       Date:  2018-07       Impact factor: 12.988

6.  High Frequency of Shared Clonotypes in Human T Cell Receptor Repertoires.

Authors:  Cinque Soto; Robin G Bombardi; Morgan Kozhevnikov; Robert S Sinkovits; Elaine C Chen; Andre Branchizio; Nurgun Kose; Samuel B Day; Mark Pilkinton; Madhusudan Gujral; Simon Mallal; James E Crowe
Journal:  Cell Rep       Date:  2020-07-14       Impact factor: 9.423

7.  cAb-Rep: A Database of Curated Antibody Repertoires for Exploring Antibody Diversity and Predicting Antibody Prevalence.

Authors:  Yicheng Guo; Kevin Chen; Peter D Kwong; Lawrence Shapiro; Zizhang Sheng
Journal:  Front Immunol       Date:  2019-10-09       Impact factor: 7.561

8.  GenBank.

Authors:  Karen Clark; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Eric W Sayers
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

9.  PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST.

Authors:  Cinque Soto; Jessica A Finn; Jordan R Willis; Samuel B Day; Robert S Sinkovits; Taylor Jones; Samuel Schmitz; Jens Meiler; Andre Branchizio; James E Crowe
Journal:  BMC Bioinformatics       Date:  2020-07-16       Impact factor: 3.169

10.  Commonality despite exceptional diversity in the baseline human antibody repertoire.

Authors:  Bryan Briney; Anne Inderbitzin; Collin Joyce; Dennis R Burton
Journal:  Nature       Date:  2019-01-21       Impact factor: 49.962

  10 in total
  2 in total

Review 1.  Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.

Authors:  Wiktoria Wilman; Sonia Wróbel; Weronika Bielska; Piotr Deszynski; Paweł Dudzic; Igor Jaszczyszyn; Jędrzej Kaniewski; Jakub Młokosiewicz; Anahita Rouyan; Tadeusz Satława; Sandeep Kumar; Victor Greiff; Konrad Krawczyk
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

2.  AbDiver-A tool to explore the natural antibody landscape to aid therapeutic design.

Authors:  Jakub Młokosiewicz; Piotr Deszyński; Wiktoria Wilman; Igor Jaszczyszyn; Rajkumar Ganesan; Aleksandr Kovaltsuk; Jinwoo Leem; Jacob Galson; Konrad Krawczyk
Journal:  Bioinformatics       Date:  2022-03-11       Impact factor: 6.931

  2 in total

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