1st International and 10th National Iranian Conference on Bioinformatics
Investigation of the gene expression profile of podocytopathy in glomerulonephritis
Paper ID : 1449-ICB10
Authors:
Mohammad Reza Esmaeili1, sara taleahmad *1, Marjan Nejati1, Reza Moghadasali2
1Royan Institute
2مدیر گروه بیماری‌های کلیوی پژوهشگاه رویان
Abstract:
Chronic kidney disease affects more than 10% of the world population. 90% of all Cases are attributed to glomerular disease. The most sever forms of kidney diseases are often associated with irreversible damage to glomerular podocytes -highly specialized epithelial cells that encase glomerular capillaries and regulate removing toxin and wasted components from the blood. As a consequence, finding signaling pathways related to the podocyte damage by bioinformatics approaches is essential. In this study we focused on gene expression profiling in damaged podocyte cells and investigated signaling pathways associated with this matter. At first, we selected suitable studies from GEO database (GSE151690). This dataset consists of three groups of glomerulonephritis with three difference times (W0, W1, W5) and analyzed with GEO2R tool. Then uploaded the up and down regulated genes to VENNY version 2.1.0 tool and selected processed in common genes between up/down regulated groups to examine the signaling pathways in the DAVID database and the KEGG library then loaded the genes involved in biological process, cell component and molecular function. Finally, we used STRING database to select protein interaction.
Results showed that 167 genes up regulated and 190 genes were down regulated. Among those up regulated genes most of them were expressed in focal adhesion, PI3K-Akt signaling pathway, cell adhesion molecules (CAMs), cytokine-cytokine receptor interaction, in other hand metabolic and TGF-β signaling pathway were observed in down regulated genes. JacK3, Col1a1, Fn1, Ptprc, Pdgfb, Pdgfbr genes were up regulated and the results also obtained that Acadsb, Acmsd, Acsm3, Bmp4, Dmgdh were down regulated. By this analysis and results we observed the genes that identified in podocyte cells damages that highly related to cytoskeleton structure denature, metabolic pathways.
Keywords:
Kidney, chronic kidney disease, Glomerulonephritis, podocytopathy, Microarray analysis, gene expression profile
Status : Paper Accepted (Poster Presentation)