Bioinformatic identification of key genes and molecular pathways in the spermatogenic process of cryptorchidism.

ABSTRACT: This study aims to determine key genes and pathways that could play important roles in the spermatogenic process of patients with cryptorchidism. The gene expression profile data of GSE25518 was obtained from the Gene Expression Omnibus (GEO) database. Microarray data were analyzed using BRB-Array Tools to identify differentially expressed genes (DEGs) between high azoospermia risk (HAZR) patients and controls. In addition, other analytical methods were deployed, including hierarchical clustering analysis, class comparison between patients with HAZR and the normal control group, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and the construction of a protein-protein interaction (PPI) network. In total, 1015 upregulated genes and 1650 downreg

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC6889044 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature