Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data.

ABSTRACT:

Background

The traditional approach to studying the epigenetic mechanism CpG methylation in tissue samples is to identify regions of concordant differential methylation spanning multiple CpG sites (differentially methylated regions). Variation limited to single or small numbers of CpGs has been assumed to reflect stochastic processes. To test this, we developed software, Cluster-Based analysis of CpG methylation (CluBCpG), and explored variation in read-level CpG methylation patterns in whole genome bisulfite sequencing data.

Results

Analysis of both human and mouse whole genome bisulfite sequencing datasets reveals read-level signatures associated with cell type and cell type-specific biological processes. These signatures, which are mostly orthogonal to classical different

SUBMITTER: Scott CA 

PROVIDER: S-EPMC7329512 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature