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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...

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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
Descripción
Sumario: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.