摘要
Objective:Using data mining tools,study the potential pathways of estrogen’s cardiovascular effects.Methods:The GeneExpression Omnibus database was used to download the relevant high-throughput microarray dataset GSE72180,which was then analyzed for differential genes using the GEO2R online analysis tool,gene function and pathway enrichment analysis using DAVID 6.8,protein interaction network analysis using the STRING database,and core network extraction using the MCODE algorithm.Results:A total of 131 differential genes were identified and enriched for gene function and signaling pathway analysis,which indicated that these genes were related with focal adhesion and the HIF-1 signaling pathway.MCODE algorithm analysis extracted 1 core sub-network of these genes to be related to ubiquitin protein transferase activity,protein polyubiquitination,protein ubiquitination involved in ubiquitin-dependent proteolytic metabolic processes,ligase activity,and clustering on ubiquitin-mediated protein hydrolysis signaling pathway.Conclusion:By using data mining tools,it is possible to identify how estrogen may influence the cardiovascular system by controlling the ubiquitination process.This information may be used as a reference for etiology and preventive studies of cardiovascular illnesses.
基金
supported by Jilin Provincial Department of Education Project(20200201515 JC).
