Title :
Time-course gene expression profiling of high glucose-induced endothelial cell apoptosis
Author :
Weng, Julia Tzu-Ya ; Yi-Cheng Chen ; Chung-Hsien Ma ; Tzung-Shian Lai ; Feng-Ming Ho
Author_Institution :
Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Taoyuan, Taiwan
Abstract :
Diabetes is a debilitating metabolic disorder resulting from hyperglycemia and glucose intolerance. High glucose-induced endothelial dysfunction is an important contributor to vascular disease in diabetes. In this study, we profiled the global gene expression changes in human umbilical vein endothelial cells treated with high glucose at the 0-, 24-, and 48-hour intervals. Differentially expressed genes were examined through bioinformatics analysis for potential mechanisms of regulation. Our analysis uncovered novel regulatory interactions that may provide insights into the molecular transition from normal cellular activities to apoptosis under high glucose, enhancing our understanding of the mechanisms underlying vascular complications in diabetic patients.
Keywords :
cellular biophysics; diseases; genetics; organic compounds; bioinformatics analysis; debilitating metabolic disorder; diabetes; differentially expressed genes; global gene expression changes; glucose induced endothelial dysfunction; glucose intolerance; high glucose induced endothelial cell apoptosis; human umbilical vein endothelial cells; hyperglycemia; time-course gene expression profiling; vascular disease; Bioinformatics; Diabetes; Diseases; Gene expression; RNA; Sugar; Veins; diabetes; gene expression; high glucose; time-course analysis;
Conference_Titel :
Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
Conference_Location :
Chung Li
Print_ISBN :
978-1-4799-2769-2
DOI :
10.1109/ISBB.2014.6820924