Understanding gene expression in coronary artery disease through global profiling, network analysis and independent validation of key candidate genes.

摘要: Molecular mechanism underlying the patho-physiology of coronary artery disease (CAD) is complex. We used global expression profiling combined with analysis biological network to dissect out potential genes and pathways associated CAD in a representative case–control Asian Indian cohort. initially performed blood transcriptomics 20 subjects, including 10 patients healthy controls on Agilent microarray platform. Data was analysed Gene Spring Gx12.5, followed by using David v 6.7 Reactome databases. The most significant differentially expressed from were independently validated real time PCR 97 cases controls. A total 190 gene transcripts showed differential (fold change >2, P 8-fold higher relative implying their important role CAD. In conclusion, can help identifying key for