Abstract: Objective To study the molecular mechanism and potential therapeutic targets of premature ovarian failure(POF)by screening the differentially expressed genes(DEGs)through bioinformatics analysis. Methods The gene microarrays related with POF were selected from GEO database, the GEO2R online analysis tool was used to screen for DEGs. Target genes were predicting from the mircode database and miRNA-target genes predicting website, network model of gene interaction was constructed by the Cytoscape 3.7.2. GO and KEGG analysis of target genes were performed on DAVID database. Results A total of 1 110 DEGs were screened(P<0.01, |log2 FC|≥1.0), including 905 up-regulated genes and 205 down-regulated genes, target genes of which mainly associated with metal ion transmembrane transporter activity, DNA and transcription factor binding ability, protein serine/threonine kinase activity were involved in PI3K-Akt、MAPK、Rap1、Ras and Ca2+ signal pathways. Conclusion This study indicates that screening for DEGs then analyzing pathways and functions of target genes could help to understand the molecular mechanism of POF, and provide with new therapeutic targets for POF.

Key words: premature ovarian failure, granular cell, bioinformatics analysis, differentially expressed genes, target genes

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