Comprehensive network modeling approaches unravel dynamic enhancer-promoter interactions across neural differentiation.

ABSTRACT:

Background

Increasing evidence suggests that a substantial proportion of disease-associated mutations occur in enhancers, regions of non-coding DNA essential to gene regulation. Understanding the structures and mechanisms of the regulatory programs this variation affects can shed light on the apparatuses of human diseases.

Results

We collect epigenetic and gene expression datasets from seven early time points during neural differentiation. Focusing on this model system, we construct networks of enhancer-promoter interactions, each at an individual stage of neural induction. These networks serve as the base for a rich series of analyses, through which we demonstrate their temporal dynamics and enrichment for various disease-associated variants. We apply the Girvan-Newman clus

SUBMITTER: DeGroat W 

PROVIDER: S-EPMC11323586 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature