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scHLAcount: allele-specific HLA expression from single-cell gene expression data
SUMMARY: Bulk RNA sequencing studies have demonstrated that human leukocyte antigen (HLA) genes may be expressed in a cell type-specific and allele-specific fashion. Single-cell gene expression assays have the potential to further resolve these expression patterns, but currently available methods do...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320622/ https://www.ncbi.nlm.nih.gov/pubmed/32330223 http://dx.doi.org/10.1093/bioinformatics/btaa264 |
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author | Darby, Charlotte A Stubbington, Michael J T Marks, Patrick J Martínez Barrio, Álvaro Fiddes, Ian T |
author_facet | Darby, Charlotte A Stubbington, Michael J T Marks, Patrick J Martínez Barrio, Álvaro Fiddes, Ian T |
author_sort | Darby, Charlotte A |
collection | PubMed |
description | SUMMARY: Bulk RNA sequencing studies have demonstrated that human leukocyte antigen (HLA) genes may be expressed in a cell type-specific and allele-specific fashion. Single-cell gene expression assays have the potential to further resolve these expression patterns, but currently available methods do not perform allele-specific quantification at the molecule level. Here, we present scHLAcount, a post-processing workflow for single-cell RNA-seq data that computes allele-specific molecule counts of the HLA genes based on a personalized reference constructed from the sample’s HLA genotypes. AVAILABILITY AND IMPLEMENTATION: scHLAcount is available under the MIT license at https://github.com/10XGenomics/scHLAcount. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7320622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73206222020-07-01 scHLAcount: allele-specific HLA expression from single-cell gene expression data Darby, Charlotte A Stubbington, Michael J T Marks, Patrick J Martínez Barrio, Álvaro Fiddes, Ian T Bioinformatics Applications Notes SUMMARY: Bulk RNA sequencing studies have demonstrated that human leukocyte antigen (HLA) genes may be expressed in a cell type-specific and allele-specific fashion. Single-cell gene expression assays have the potential to further resolve these expression patterns, but currently available methods do not perform allele-specific quantification at the molecule level. Here, we present scHLAcount, a post-processing workflow for single-cell RNA-seq data that computes allele-specific molecule counts of the HLA genes based on a personalized reference constructed from the sample’s HLA genotypes. AVAILABILITY AND IMPLEMENTATION: scHLAcount is available under the MIT license at https://github.com/10XGenomics/scHLAcount. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-06-15 2020-04-24 /pmc/articles/PMC7320622/ /pubmed/32330223 http://dx.doi.org/10.1093/bioinformatics/btaa264 Text en © The Author(s) 2020. 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 Darby, Charlotte A Stubbington, Michael J T Marks, Patrick J Martínez Barrio, Álvaro Fiddes, Ian T scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title | scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title_full | scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title_fullStr | scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title_full_unstemmed | scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title_short | scHLAcount: allele-specific HLA expression from single-cell gene expression data |
title_sort | schlacount: allele-specific hla expression from single-cell gene expression data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320622/ https://www.ncbi.nlm.nih.gov/pubmed/32330223 http://dx.doi.org/10.1093/bioinformatics/btaa264 |
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