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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-5859752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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