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OGRDB: a reference database of inferred immune receptor genes

High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene...

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Autores principales: Lees, William, Busse, Christian E, Corcoran, Martin, Ohlin, Mats, Scheepers, Cathrine, Matsen, Frederick A, Yaari, Gur, Watson, Corey T, Collins, Andrew, Shepherd, Adrian J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943078/
https://www.ncbi.nlm.nih.gov/pubmed/31566225
http://dx.doi.org/10.1093/nar/gkz822
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author Lees, William
Busse, Christian E
Corcoran, Martin
Ohlin, Mats
Scheepers, Cathrine
Matsen, Frederick A
Yaari, Gur
Watson, Corey T
Collins, Andrew
Shepherd, Adrian J
author_facet Lees, William
Busse, Christian E
Corcoran, Martin
Ohlin, Mats
Scheepers, Cathrine
Matsen, Frederick A
Yaari, Gur
Watson, Corey T
Collins, Andrew
Shepherd, Adrian J
author_sort Lees, William
collection PubMed
description High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence.
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spelling pubmed-69430782020-01-08 OGRDB: a reference database of inferred immune receptor genes Lees, William Busse, Christian E Corcoran, Martin Ohlin, Mats Scheepers, Cathrine Matsen, Frederick A Yaari, Gur Watson, Corey T Collins, Andrew Shepherd, Adrian J Nucleic Acids Res Database Issue High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence. Oxford University Press 2020-01-08 2019-09-30 /pmc/articles/PMC6943078/ /pubmed/31566225 http://dx.doi.org/10.1093/nar/gkz822 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Lees, William
Busse, Christian E
Corcoran, Martin
Ohlin, Mats
Scheepers, Cathrine
Matsen, Frederick A
Yaari, Gur
Watson, Corey T
Collins, Andrew
Shepherd, Adrian J
OGRDB: a reference database of inferred immune receptor genes
title OGRDB: a reference database of inferred immune receptor genes
title_full OGRDB: a reference database of inferred immune receptor genes
title_fullStr OGRDB: a reference database of inferred immune receptor genes
title_full_unstemmed OGRDB: a reference database of inferred immune receptor genes
title_short OGRDB: a reference database of inferred immune receptor genes
title_sort ogrdb: a reference database of inferred immune receptor genes
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943078/
https://www.ncbi.nlm.nih.gov/pubmed/31566225
http://dx.doi.org/10.1093/nar/gkz822
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