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BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data

B cells play a critical role in the immune response by producing antibodies, which display remarkable diversity. Here we describe a bioinformatic pipeline, BALDR (BCR Assignment of Lineage using De novo Reconstruction) that accurately reconstructs the paired heavy and light chain immunoglobulin gene...

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Autores principales: Upadhyay, Amit A., Kauffman, Robert C., Wolabaugh, Amber N., Cho, Alice, Patel, Nirav B., Reiss, Samantha M., Havenar-Daughton, Colin, Dawoud, Reem A., Tharp, Gregory K., Sanz, Iñaki, Pulendran, Bali, Crotty, Shane, Lee, F. Eun-Hyung, Wrammert, Jens, Bosinger, Steven E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859752/
https://www.ncbi.nlm.nih.gov/pubmed/29558968
http://dx.doi.org/10.1186/s13073-018-0528-3
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author Upadhyay, Amit A.
Kauffman, Robert C.
Wolabaugh, Amber N.
Cho, Alice
Patel, Nirav B.
Reiss, Samantha M.
Havenar-Daughton, Colin
Dawoud, Reem A.
Tharp, Gregory K.
Sanz, Iñaki
Pulendran, Bali
Crotty, Shane
Lee, F. Eun-Hyung
Wrammert, Jens
Bosinger, Steven E.
author_facet Upadhyay, Amit A.
Kauffman, Robert C.
Wolabaugh, Amber N.
Cho, Alice
Patel, Nirav B.
Reiss, Samantha M.
Havenar-Daughton, Colin
Dawoud, Reem A.
Tharp, Gregory K.
Sanz, Iñaki
Pulendran, Bali
Crotty, Shane
Lee, F. Eun-Hyung
Wrammert, Jens
Bosinger, Steven E.
author_sort Upadhyay, Amit A.
collection PubMed
description B cells play a critical role in the immune response by producing antibodies, which display remarkable diversity. Here we describe a bioinformatic pipeline, BALDR (BCR Assignment of Lineage using De novo Reconstruction) that accurately reconstructs the paired heavy and light chain immunoglobulin gene sequences from Illumina single-cell RNA-seq data. BALDR was accurate for clonotype identification in human and rhesus macaque influenza vaccine and simian immunodeficiency virus vaccine induced vaccine-induced plasmablasts and naïve and antigen-specific memory B cells. BALDR enables matching of clonotype identity with single-cell transcriptional information in B cell lineages and will have broad application in the fields of vaccines, human immunodeficiency virus broadly neutralizing antibody development, and cancer. BALDR is available at https://github.com/BosingerLab/BALDR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0528-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58597522018-03-22 BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data Upadhyay, Amit A. Kauffman, Robert C. Wolabaugh, Amber N. Cho, Alice Patel, Nirav B. Reiss, Samantha M. Havenar-Daughton, Colin Dawoud, Reem A. Tharp, Gregory K. Sanz, Iñaki Pulendran, Bali Crotty, Shane Lee, F. Eun-Hyung Wrammert, Jens Bosinger, Steven E. Genome Med Method B cells play a critical role in the immune response by producing antibodies, which display remarkable diversity. Here we describe a bioinformatic pipeline, BALDR (BCR Assignment of Lineage using De novo Reconstruction) that accurately reconstructs the paired heavy and light chain immunoglobulin gene sequences from Illumina single-cell RNA-seq data. BALDR was accurate for clonotype identification in human and rhesus macaque influenza vaccine and simian immunodeficiency virus vaccine induced vaccine-induced plasmablasts and naïve and antigen-specific memory B cells. BALDR enables matching of clonotype identity with single-cell transcriptional information in B cell lineages and will have broad application in the fields of vaccines, human immunodeficiency virus broadly neutralizing antibody development, and cancer. BALDR is available at https://github.com/BosingerLab/BALDR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0528-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-20 /pmc/articles/PMC5859752/ /pubmed/29558968 http://dx.doi.org/10.1186/s13073-018-0528-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Upadhyay, Amit A.
Kauffman, Robert C.
Wolabaugh, Amber N.
Cho, Alice
Patel, Nirav B.
Reiss, Samantha M.
Havenar-Daughton, Colin
Dawoud, Reem A.
Tharp, Gregory K.
Sanz, Iñaki
Pulendran, Bali
Crotty, Shane
Lee, F. Eun-Hyung
Wrammert, Jens
Bosinger, Steven E.
BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title_full BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title_fullStr BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title_full_unstemmed BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title_short BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
title_sort baldr: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell rna-seq data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859752/
https://www.ncbi.nlm.nih.gov/pubmed/29558968
http://dx.doi.org/10.1186/s13073-018-0528-3
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