XIANBAO FANG1,#, MINGYAN TANG1,#, ZIYANG YU1,#, JIAQI DING1, CHONG CUI2, HONG ZHANG1,*
BIOCELL, Vol.47, No.9, pp. 2059-2068, 2023, DOI:10.32604/biocell.2023.030565
Abstract Objective: Key genes were screened to analyze molecular mechanisms and their drug targets of endometriosis
by applying a bioinformatics approach. Methods: Gene expression profiles of endometriosis and healthy controls were
obtained from the Gene Expression Omnibus database. Significant differentially expressed genes were screened using
the limma package. Correlation pathways were screened by Spearman correlation analysis on the echinoderm
microtubule-associated protein-like 4 (EML4) and enrichment in endometriosis pathways and estimated by the GSVA
package. Immune characteristics were assessed by the “ESTIMATE” R package. Potential regulatory pathways were
determined by enrichment analysis. The SWISS-MODE website was used in homology modeling with EML4… More >
Graphic Abstract
Login
Register
