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EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data
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EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data
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Journal Article
EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data
2020
Overview
Cell type heterogeneity presents a challenge to the interpretation of epigenome data, compounded by the difficulty in generating reliable single-cell DNA methylomes for large numbers of cells and samples. We present EPISCORE, a computational algorithm that performs virtual microdissection of bulk tissue DNA methylation data at single cell-type resolution for any solid tissue. EPISCORE applies a probabilistic epigenetic model of gene regulation to a single-cell RNA-seq tissue atlas to generate a tissue-specific DNA methylation reference matrix, allowing quantification of cell-type proportions and cell-type-specific differential methylation signals in bulk tissue data. We validate EPISCORE in multiple epigenome studies and tissue types.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
