Identifying functions and prognostic biomarkers of network motifs marked by diverse chromatin states in human cell lines.

ABSTRACT: Epigenetic modifications play critical roles in modulating gene expression, yet their roles in regulatory networks in human cell lines remain poorly characterized. We integrated multiomics data to construct directed regulatory networks with nodes and edges labeled with chromatin states in human cell lines. We observed extensive association of diverse chromatin states and network motifs. The gene expression analysis showed that diverse chromatin states of coherent type-1 feedforward loop (C1-FFL) and incoherent type-1 feedforward loops (I1-FFL) contributed to the dynamic expression patterns of targets. Notably, diverse chromatin state compositions could help C1- or I1-FFL to control a large number of distinct biological functions in human cell lines, such as four different types of chromati

SUBMITTER: Wang L 

PROVIDER: S-EPMC6962092 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature