Screening of differentially expressed miRNA and prediction of target genes in type 2 diabetes based on bioinformatics
Objective To analyze differential miRNA expression and target gene prediction in liver tissues of pa-tients with type 2 diabetes mellitus(T2DM)by bioinformatics method.Methods The liver tissue miRNA chip dataset GSE176025 of T2DM and normal population was downloaded from GEO database,including type-2-dabetic and non-dia-betic groups,with 20 cases in each group.The GEO R2 tool was used to analyze and obtain the differential miRNA,and a volcano map was made.Target genes of differential miRNA were predicted by TargetScan and miRWalk databases.Gene ontological functional enrichment analysis(GO)and Kyoto Genome Encyclopedia Signaling Pathway Analysis(KEGG)were performed on target genes from biological process(BP),cell component(CC)and molecular function(MF)using DAVID database.The STRING online tool and Cytoscape software were used to construct a PPI network of target genes,and key genes were screened.Results A total of 15 differential miRNAs were selected,including 12 up-regulated miR-NAs and 3 down-regulated miRNAs.A total of 318 target genes were predicted for differential miRNAs,and 5 key target genes were identified,namely SMARCD3,BCL11A,BCL11B,ARID2,and BICRA.GO and KEGG analysis showed that BP included regulation of transcription from RNA polymerase Ⅱ promoter,DNA-templated transcription,protein phos-phorylation and so on;CC included nucleus,nucleolus,cytoplasm,cytoplasm and so on;MF included protein binding,DNA binding,chromatin binding and so on;KEGG included signaling pathways regulating pluripotency of stem cells,mTOR signaling pathway,Hippo signaling pathway and so on.Conclusions Compared with the normal population,there are several different miRNA expressions in liver tissues of T2DM patients.These differential miRNAs and their target genes may help to clarify the pathogenesis of T2DM and provide new ideas for clinical diagnosis and treatment.
type 2 diabetes mellitusmiRNAtarget genebioinformatics
NETL
NSTL
万方数据
维普
