Identification of hub genes related to the progression of type 1 diabetes by computational analysis.

摘要: Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated pathogenesis. Profound attempts have been made enlighten the pathogenesis, but molecular mechanisms of T1D are still not well known. To identify candidate genes in progression T1D, expression profiling by high throughput sequencing dataset GSE123658 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed (DEGs) were identified, gene ontology (GO) pathway enrichment analyses performed. protein-protein interaction network (PPI), modules, target - miRNA regulatory TF analysis constructed analyzed using HIPPIE, miRNet, NetworkAnalyst Cytoscape. Finally, validation hub conducted ROC (Receiver operating characteristic) curve RT-PCR analysis. A docking study total 284 DEGs consisting 142 up regulated down genes. pathways include cell-cell signaling, vesicle fusion, plasma membrane, signaling receptor activity, lipid binding, GPCR innate immune system. Four identified biological process revealed that these mainly enriched cytokine system, showed EGFR, GRIN2B, GJA1, CAP2, MIF, POLR2A, PRKACA, GABARAP, TLN1 PXN might be involved advancement T1D. Molecular studies score. present investigation help us understand underlying provide targets for diagnosis treatment