Construction of a genomic regulatory network based on gene expression profile of neonatal hypertrophic cardiomyocytes induced by phenylephrine
- VernacularTitle:利用苯肾上腺素诱导新生大鼠心肌细胞肥大基因表达谱构建其调控网络
- Author:
Yongxin ZHANG
;
Zijian LI
;
Jie YAN
;
Youyi ZHANG
- Publication Type:Journal Article
- Keywords:
Heart;
Myocardial hypertrophy;
Gene expression profiling
- From:
Chinese Journal of Pathophysiology
2009;25(11):2081-2087
- CountryChina
- Language:Chinese
-
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.
