Regulation of Nuclear Gene Expression  Data Analysis in Diabetic Nephropathy  and Data Mining

Tejashwini. N; Tanushree Chaudhuri; Kusum Paul

Volume : II, Issue : VIII, August - 2013

Regulation of Nuclear Gene Expression Data Analysis in Diabetic Nephropathy and Data Mining

Tejashwini. N, Tanushree Chaudhuri, Kusum Paul

Abstract :

Diabetic Nephropathy (DN) is a metabolic disease caused at the end-stage of renal failure that evolved into a progressive fiosing renal disorder. Recently, a transcriptional and nuclear factor genes show differential expression in type I, Type II and DN. Here we identify differential gene expression signatures related to nuclear genomes of Type I, Type II, Diabetic nephropathy and develop computational classification models of diabetic progression. Gene expression data analysis experiments were performed for 6 sets of glomeruli from normal kidneys and diabetic nephropathy, 18 sets of type 1 and type II diabetes. A series of bioinformatics analysis identified differentially expressed genes that potentially responsible for the progression of diabetic nephropathy. We identified 6 cases of 5727 genes with differential expressions between patient and normal samples. Gene expression data sets for type I, Type II, and DN were analyzed using integrated algorithm. 14 differentially expressed genes correctly classified at the progression status of 92% of patients (P50.001).