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Dataset Information

Analysis of master transcription factors related to Parkinson's disease through the gene transcription regulatory network.


ABSTRACT:

Introduction

This study investigated the relationships between differentially co-expressed gene pairs or links (DCLs) and transcription factors (TFs) in the gene transcription regulatory network (GTRN) to clarify the molecular mechanisms underlying the pathogenesis of Parkinson's disease (PD).

Material and methods

Microarray dataset GSE7621 from Gene Expression Omnibus (GEO) was used to identify differentially expressed genes (DEGs) and perform Gene Ontology (GO) enrichment analysis. Differentially co-expressed genes (DCGs) and DCLs were identified by the DCGL package in R soft-ware. DCLs that were potentially related to the regulation mechanisms, and corresponding TFs, were identified using the DR sort function in the DCGL V2.0 package. The GTRN was constructed with these D

SUBMITTER: Wei L 

PROVIDER: S-EPMC8425256 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature