Bioinformatic analysis reveals the importance of epithelial-mesenchymal transition in the development of endometriosis.

ABSTRACT:

Background

Endometriosis is a frequently occurring disease in women, which seriously affects their quality of life. However, its etiology and pathogenesis are still unclear.

Methods

To identify key genes/pathways involved in the pathogenesis of endometriosis, we recruited 3 raw microarray datasets (GSE11691, GSE7305, and GSE12768) from Gene Expression Omnibus database (GEO), which contain endometriosis tissues and normal endometrial tissues. We then performed in-depth bioinformatic analysis to determine differentially expressed genes (DEGs), followed by gene ontology (GO), Hallmark pathway enrichment and protein-protein interaction (PPI) network analysis. The findings were further validated by immunohistochemistry (IHC) staining in endometrial tissues from endometriosis or c

SUBMITTER: Chen M 

PROVIDER: S-EPMC7242372 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature