Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses.

ABSTRACT:

Background

Elucidating the modes of action (MoAs) of drugs and drug candidate compounds is critical for guiding translation from drug discovery to clinical application. Despite the development of several data-driven approaches for predicting chemical-disease associations, the molecular cues that organize the epigenetic landscape of drug responses remain poorly understood.

Results

With the use of a computational method, we attempted to elucidate the epigenetic landscape of drug responses, in terms of transcription factors (TFs), through large-scale ChIP-seq data analyses. In the algorithm, we systematically identified TFs that regulate the expression of chemically induced genes by integrating transcriptome data from chemical induction experiments and almost all publicly avail

SUBMITTER: Zou Z 

PROVIDER: S-EPMC8785570 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature