Network-based inference of master regulators in epithelial membrane protein 2-treated human RPE cells.

ABSTRACT:

Background

The application of cell-specific construction of transcription regulatory networks (TRNs) to identify their master regulators (MRs) in EMP2 induced vascular proliferation disorders has been largely unexplored.

Methods

Different expression gene (DEGs) analyses was processed with DESeq2 R package, for public RNA-seq transcriptome data of EMP2-treated hRPECs versus vector control (VC) or wild type (WT) hRPECs. Virtual Inference of protein activity by Enriched Regulon analysis (VIPER) was used for inferring regulator activity and ARACNE algorithm was conducted to construct TRNs and identify some MRs with DEGs from comparisons.

Results

Functional analysis of DEGs and the module analysis of TRNs demonstrated that over-expressed EMP2 leads to a significant inducti

SUBMITTER: Wan H 

PROVIDER: S-EPMC9264685 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature