A combination analysis based on bioinformatics tools reveals new signature genes related to maternal obesity and fetal programming.

ABSTRACT:

Background

Maternal obesity significantly influences fetal development and health later in life; however, the molecular mechanisms behind it remain unclear. This study aims to investigate signature genes related to maternal obesity and fetal programming based on a genomic-wide transcriptional placental study using a combination of different bioinformatics tools.

Methods

The dataset (GSE128381) was obtained from Gene Expression Omnibus (GEO). The data of 100 normal body mass index (BMI) and 27 obese mothers were included in the analysis. Differentially expressed genes (DEGs) were evaluated by limma package. Thereafter, functional enrichment analysis was implemented. Then, weighted gene co-expression network analysis (WGCNA) and the least absolute shrinkage and selection opera

SUBMITTER: Liu C 

PROVIDER: S-EPMC11408335 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature