DocumentCode
2682761
Title
Identification of altered regulatory pathways in diabetes type II and complications through expression networks
Author
Sengupta, Urmi ; Ukil, Soumik ; Dimitrova, Nevenka ; Agrawal, Shipra
Author_Institution
Inst. of Bioinf. & Appl. Biotechnol., Bangalore, India
fYear
2009
fDate
17-21 May 2009
Firstpage
1
Lastpage
4
Abstract
Type 2 diabetes mellitus (T2D) is characterised by impaired glucose homeostasis and insulin resistance. Alteration in various biological cascades is observed during diabetes and its associated complications. Differentially expressed genes obtained from microarray data are used to construct co-expression networks integrated with interaction data. Our study uses this integrated functional networks concept to discover significantly altered pathways and regulations involved in T2D condition. Major findings of our work include: novel interactions of GAPDH with SUMO4 and EGFR in GAPDH-EGFR_MicrovascularComplication; endothelial dysfunction due to impaired AKT1 expression caused by PXN and SRC interaction with altered eNOS expression as perceived in Inflammation_VascularDysfunction network; vascular complications due to altered interactions of beta-catenin, VEGF and wnt signalling genes set off by oxidative stress as envisaged in the Wnt_VascularComplication network.
Keywords
diseases; genetics; molecular biophysics; sugar; AKT1 expression; altered regulatory pathways; beta-catenin; diabetes type II; eNOS expression; endothelial dysfunction; expression networks; genes; impaired glucose homeostasis; inflammation vascular dysfunction network; insulin resistance; integrated functional networks; oxidative stress; type 2 diabetes mellitus; Bioinformatics; Data analysis; Diabetes; Gene expression; Immune system; Insulin; Pathogens; Proteins; Sugar; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
Conference_Location
Minneapolis, MN
Print_ISBN
978-1-4244-4761-9
Electronic_ISBN
978-1-4244-4762-6
Type
conf
DOI
10.1109/GENSIPS.2009.5174371
Filename
5174371
Link To Document