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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5408917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT canzarstefan basicbcrassemblyfromsinglecells AT neukarlynne basicbcrassemblyfromsinglecells AT tangqingming basicbcrassemblyfromsinglecells AT wilsonpatrickc basicbcrassemblyfromsinglecells AT khanalya basicbcrassemblyfromsinglecells |