Gene Expression Network Analysis Identifies Potential Targets for Prevention of Preeclampsia.

ABSTRACT:

Objective

Preeclampsia (PE) is a pregnancy-specific multisystem disease as well as an important cause of maternal and perinatal death. This study aimed to analyze the placental transcriptional data and clinical information of PE patients available in the published database and predict the target genes for prevention of PE.

Methods

The clinical information and corresponding RNA data of PE patients were downloaded from the GEO database. Cluster analysis was performed to examine the correlation between different genotyping genes and clinical manifestations. Then, bioinformatic approaches including GO, KEGG, WGCNA, and GSEA were employed to functionally characterize candidate target genes involved in pathogenesis of PE.

Results

Two PE datasets GSE60438 and GSE75010 were o

SUBMITTER: Xia Y 

PROVIDER: S-EPMC8818964 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature