Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Darby, Charlotte A, Stubbington, Michael J T, Marks, Patrick J, Martínez Barrio, Álvaro, Fiddes, Ian T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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
_version_ 1783551279440592896
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
work_keys_str_mv AT darbycharlottea schlacountallelespecifichlaexpressionfromsinglecellgeneexpressiondata
AT stubbingtonmichaeljt schlacountallelespecifichlaexpressionfromsinglecellgeneexpressiondata
AT markspatrickj schlacountallelespecifichlaexpressionfromsinglecellgeneexpressiondata
AT martinezbarrioalvaro schlacountallelespecifichlaexpressionfromsinglecellgeneexpressiondata
AT fiddesiant schlacountallelespecifichlaexpressionfromsinglecellgeneexpressiondata