Integrated Bioinformatics Analysis to Screen Hub Gene Signatures for Fetal Growth Restriction.

ABSTRACT:

Background

Fetal growth restriction (FGR) is the impairment of the biological growth potential of the fetus and often leads to adverse pregnancy outcomes. The molecular mechanisms for the development of FGR, however, are still unclear. The purpose of this study is to identify critical genes associated with FGR through an integrated bioinformatics approach and explore the potential pathogenesis of FGR.

Methods

We downloaded FGR-related gene microarray data, used weighted gene co-expression network analysis (WGCNA), differentially expressed genes (DEGs), and protein-protein interaction (PPI) networks to screen hub genes. The GSE24129 gene set was used for validation of critical gene expression levels and diagnostic capabilities.

Results

A weighted gene co-expression net

SUBMITTER: Yang J 

PROVIDER: S-EPMC10079385 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature