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...
Autores principales: | , , |
---|---|
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 |