Bioinformatic analysis of microRNA expression in Huntington's disease

Abstract

Huntington's disease (HD) is an inherited, progressive neurodegenerative disease caused by a CAG expansion in the Huntingtin (HTT) gene and various dysfunctions of biological processes in HD have been proposed. Although monogenic, the exact pathogenesis of HD currently remains unclear. To identify the synergistic microRNA (miRNA) pattern in HD, the miRNA expression profile dataset GSE64977 and the gene expression profile dataset GSE64810 were downloaded. Programming software R was used to identify differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Target genes of DEMs were predicted using the TargetScan database. Gene ontology (GO) function of DEGs was generated using the FunRich and a miRNA-mRNA interaction network was constructed using Cytoscape software. In total, 1,612 DEGs and 10 DEMs were identified. GO terms mainly included inflammatory response and immune response in DEGs. A total of 745 target genes were predicted from the DEMs and 33 overlaps were identified between these target genes and DEGs. The miRNA network demonstrated that hsa-miR-4488, hsa-miR-196a-5p, and hsa-miR-549a had a high degree and may be involved with the pathogenesis and potential therapeutic targets of HD.