Cargando…

scRepertoire: An R-based toolkit for single-cell immune receptor analysis

Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows researchers to couple RNA quantification and other modalities, like immune cell receptor profiling at the level of an individual cell. A number of workflows and software packages have been created to...

Descripción completa

Detalles Bibliográficos
Autores principales: Borcherding, Nicholas, Bormann, Nicholas L., Kraus, Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400693/
https://www.ncbi.nlm.nih.gov/pubmed/32789006
http://dx.doi.org/10.12688/f1000research.22139.2
_version_ 1783566421753593856
author Borcherding, Nicholas
Bormann, Nicholas L.
Kraus, Gloria
author_facet Borcherding, Nicholas
Bormann, Nicholas L.
Kraus, Gloria
author_sort Borcherding, Nicholas
collection PubMed
description Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows researchers to couple RNA quantification and other modalities, like immune cell receptor profiling at the level of an individual cell. A number of workflows and software packages have been created to process and analyze single-cell transcriptomic data. These packages allow users to take the vast dimensionality of the data generated in single-cell-based experiments and distill the data into novel insights. Unlike the transcriptomic field, there is a lack of options for software that allow for single-cell immune receptor profiling. Enabling users to easily combine mRNA and immune profiling, scRepertoire was built to process data derived from 10x Genomics Chromium Immune Profiling for both T-cell receptor (TCR) and immunoglobulin (Ig) enrichment workflows and subsequently interacts with a number of popular R packages for single-cell expression, such as Seurat. The scRepertoire R package and processed data are open source and available on GitHub and provides in-depth tutorials on the capability of the package.
format Online
Article
Text
id pubmed-7400693
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher F1000 Research Limited
record_format MEDLINE/PubMed
spelling pubmed-74006932020-08-11 scRepertoire: An R-based toolkit for single-cell immune receptor analysis Borcherding, Nicholas Bormann, Nicholas L. Kraus, Gloria F1000Res Software Tool Article Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows researchers to couple RNA quantification and other modalities, like immune cell receptor profiling at the level of an individual cell. A number of workflows and software packages have been created to process and analyze single-cell transcriptomic data. These packages allow users to take the vast dimensionality of the data generated in single-cell-based experiments and distill the data into novel insights. Unlike the transcriptomic field, there is a lack of options for software that allow for single-cell immune receptor profiling. Enabling users to easily combine mRNA and immune profiling, scRepertoire was built to process data derived from 10x Genomics Chromium Immune Profiling for both T-cell receptor (TCR) and immunoglobulin (Ig) enrichment workflows and subsequently interacts with a number of popular R packages for single-cell expression, such as Seurat. The scRepertoire R package and processed data are open source and available on GitHub and provides in-depth tutorials on the capability of the package. F1000 Research Limited 2020-06-15 /pmc/articles/PMC7400693/ /pubmed/32789006 http://dx.doi.org/10.12688/f1000research.22139.2 Text en Copyright: © 2020 Borcherding N et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Borcherding, Nicholas
Bormann, Nicholas L.
Kraus, Gloria
scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title_full scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title_fullStr scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title_full_unstemmed scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title_short scRepertoire: An R-based toolkit for single-cell immune receptor analysis
title_sort screpertoire: an r-based toolkit for single-cell immune receptor analysis
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400693/
https://www.ncbi.nlm.nih.gov/pubmed/32789006
http://dx.doi.org/10.12688/f1000research.22139.2
work_keys_str_mv AT borcherdingnicholas screpertoireanrbasedtoolkitforsinglecellimmunereceptoranalysis
AT bormannnicholasl screpertoireanrbasedtoolkitforsinglecellimmunereceptoranalysis
AT krausgloria screpertoireanrbasedtoolkitforsinglecellimmunereceptoranalysis