Construction of a genomic regulatory network based on gene expression profile of neonatal hypertrophic cardiomyocytes induced by phenylephrine / 中国病理生理杂志

ABSTRACT

AIM: To construct a genomic regulatory network based on gene expression profiling of hypertrophic cardiomyocytes induced by phenylephrine in neonatal rats. METHODS: Cultured neonatal hypertrophic cardiomyocytes were induced by phenylephedrine. The gene expression profiles of these cells were assessed by using a cDNA microarray, and the microarray data were further analyzed by Pathwaystudio and Agilent Literature Search software. RESULTS: A genes/proteins interaction network was constructed with 450 nodes and 592 edges by analyzing the gene expression in hypertrophic cardiomyocytes and literature mining. The network belongs to scale - free network by topological analysis, and 14 genes/proteins as key nodes, including PTPN11, TRAF6, HSPA8, VIM, RPS6KA3, PTHRP, GRB2 and PI3K, were predicted. Based on GO analysis, the genes/proteins associated with metabolism, signal transduction and cytoskeleton may play important roles in the process of cardiomyocytes hypertrophy induced by phenylephedrine in neonatal rat. CONCLUSION: The genomic regulatory network based on gene expression profiling and literature mining may provide integrated clue to elaborate hypotheses about the evolution of cardiomyocyte hypertrophy.