Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

Martin M. Corcoran; Ganesh E. Phad; Néstor Vázquez Bernat; Christiane Stahl-Hennig; Noriyuki Sumida; Mats A.A. Persson; Marcel Martin; Gunilla B. Karlsson Hedestam

doi:10.1038/ncomms13642

Nature Communications (Dec 2016)

Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

Martin M. Corcoran,
Ganesh E. Phad,
Néstor Vázquez Bernat,
Christiane Stahl-Hennig,
Noriyuki Sumida,
Mats A.A. Persson,
Marcel Martin,
Gunilla B. Karlsson Hedestam

Affiliations

Martin M. Corcoran: Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet
Ganesh E. Phad: Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet
Néstor Vázquez Bernat: Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet
Christiane Stahl-Hennig: Deutsches Primatenzentrum GmbH (DPZ), Leibniz-Institute for Primate Research
Noriyuki Sumida: Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet
Mats A.A. Persson: Department of Clinical Neuroscience, Stockholm University
Marcel Martin: Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University
Gunilla B. Karlsson Hedestam: Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet

DOI: https://doi.org/10.1038/ncomms13642
Journal volume & issue: Vol. 7, no. 1
pp. 1 – 14

Abstract

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Current databases of V genes for antibody repertoire have limitations. Here Corcoran et al. develop a computational approach named IgDiscover that can identify germline V gene sequences from expressed antibody repertoires to high specificity and completeness.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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