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Dataset Information

Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis.


ABSTRACT:

Background

This study explored the key genes related to immune cell infiltration in endometriosis.

Results

The Gene Expression Omnibus (GEO) datasets (GSE7305, GSE7307, and GSE11691), containing a total of 37 endometriosis and 42 normal tissues, were retrieved and analyzed to determine the differentially expressed genes (DEGs). Gene ontology (GO) annotations and Kyoto Encyclopedia of Genes (KEGG) analysis were performed to identify the pathways that were significantly enriched. The xCell software was used to analyze immune cell infiltration and correlation analyses were performed to uncover the relationship between key genes and immune cells. The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matri

SUBMITTER: Chen S 

PROVIDER: S-EPMC8932180 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature