Ontology highlight
ABSTRACT:
SUBMITTER: Zhu T
PROVIDER: S-EPMC8916958 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
Zhu Tianyu T Liu Jacklyn J Beck Stephan S Pan Sun S Capper David D Lechner Matt M Thirlwell Chrissie C Breeze Charles E CE Teschendorff Andrew E AE
Nature methods 20220311 3
Bulk-tissue DNA methylomes represent an average over many different cell types, hampering our understanding of cell-type-specific contributions to disease development. As single-cell methylomics is not scalable to large cohorts of individuals, cost-effective computational solutions are needed, yet current methods are limited to tissues such as blood. Here we leverage the high-resolution nature of tissue-specific single-cell RNA-sequencing datasets to construct a DNA methylation atlas defined for ...[more]