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BASIC: BCR assembly from single cells

MOTIVATION: The B-cell receptor enables individual B cells to identify diverse antigens, including bacterial and viral proteins. While advances in RNA-sequencing (RNA-seq) have enabled high throughput profiling of transcript expression in single cells, the unique task of assembling the full-length h...

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Detalles Bibliográficos
Autores principales: Canzar, Stefan, Neu, Karlynn E, Tang, Qingming, Wilson, Patrick C, Khan, Aly A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408917/
https://www.ncbi.nlm.nih.gov/pubmed/28172415
http://dx.doi.org/10.1093/bioinformatics/btw631
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author Canzar, Stefan
Neu, Karlynn E
Tang, Qingming
Wilson, Patrick C
Khan, Aly A
author_facet Canzar, Stefan
Neu, Karlynn E
Tang, Qingming
Wilson, Patrick C
Khan, Aly A
author_sort Canzar, Stefan
collection PubMed
description MOTIVATION: The B-cell receptor enables individual B cells to identify diverse antigens, including bacterial and viral proteins. While advances in RNA-sequencing (RNA-seq) have enabled high throughput profiling of transcript expression in single cells, the unique task of assembling the full-length heavy and light chain sequences from single cell RNA-seq (scRNA-seq) in B cells has been largely unstudied. RESULTS: We developed a new software tool, BASIC, which allows investigators to use scRNA-seq for assembling BCR sequences at single-cell resolution. To demonstrate the utility of our software, we subjected nearly 200 single human B cells to scRNA-seq, assembled the full-length heavy and the light chains, and experimentally confirmed these results by using single-cell primer-based nested PCRs and Sanger sequencing. AVAILABILITY AND IMPLEMENTATION: http://ttic.uchicago.edu/∼aakhan/BASIC SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-54089172017-05-03 BASIC: BCR assembly from single cells Canzar, Stefan Neu, Karlynn E Tang, Qingming Wilson, Patrick C Khan, Aly A Bioinformatics Applications Notes MOTIVATION: The B-cell receptor enables individual B cells to identify diverse antigens, including bacterial and viral proteins. While advances in RNA-sequencing (RNA-seq) have enabled high throughput profiling of transcript expression in single cells, the unique task of assembling the full-length heavy and light chain sequences from single cell RNA-seq (scRNA-seq) in B cells has been largely unstudied. RESULTS: We developed a new software tool, BASIC, which allows investigators to use scRNA-seq for assembling BCR sequences at single-cell resolution. To demonstrate the utility of our software, we subjected nearly 200 single human B cells to scRNA-seq, assembled the full-length heavy and the light chains, and experimentally confirmed these results by using single-cell primer-based nested PCRs and Sanger sequencing. AVAILABILITY AND IMPLEMENTATION: http://ttic.uchicago.edu/∼aakhan/BASIC SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-02-01 2016-10-02 /pmc/articles/PMC5408917/ /pubmed/28172415 http://dx.doi.org/10.1093/bioinformatics/btw631 Text en © The Author 2016. Published by Oxford University Press. 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 Applications Notes
Canzar, Stefan
Neu, Karlynn E
Tang, Qingming
Wilson, Patrick C
Khan, Aly A
BASIC: BCR assembly from single cells
title BASIC: BCR assembly from single cells
title_full BASIC: BCR assembly from single cells
title_fullStr BASIC: BCR assembly from single cells
title_full_unstemmed BASIC: BCR assembly from single cells
title_short BASIC: BCR assembly from single cells
title_sort basic: bcr assembly from single cells
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408917/
https://www.ncbi.nlm.nih.gov/pubmed/28172415
http://dx.doi.org/10.1093/bioinformatics/btw631
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