Nodes with high centrality in protein interaction networks are responsible for driving signaling pathways in diabetic nephropathy.

ABSTRACT: In spite of huge efforts, chronic diseases remain an unresolved problem in medicine. Systems biology could assist to develop more efficient therapies through providing quantitative holistic sights to these complex disorders. In this study, we have re-analyzed a microarray dataset to identify critical signaling pathways related to diabetic nephropathy. GSE1009 dataset was downloaded from Gene Expression Omnibus database and the gene expression profile of glomeruli from diabetic nephropathy patients and those from healthy individuals were compared. The protein-protein interaction network for differentially expressed genes was constructed and enriched. In addition, topology of the network was analyzed to identify the genes with high centrality parameters and then pathway enrichment analysis w

SUBMITTER: Abedi M 

PROVIDER: S-EPMC4636410 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature