Coronary artery endothelial transcriptome in vivo: identification of endoplasmic reticulum stress and enhanced reactive oxygen species by gene connectivity network analysis.
Coronary artery endothelial transcriptome in vivo: identification of endoplasmic reticulum stress and enhanced reactive oxygen species by gene connectivity network analysis.
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DOI:
10.1161/circgenetics.110.958926
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发表时间:
2011-06
期刊:
影响因子:
--
通讯作者:
Davies PF
中科院分区:
文献类型:
--
作者:
Civelek M;Manduchi E;Riley RJ;Stoeckert CJ Jr;Davies PF
Endothelial function is central to the localization of atherosclerosis. The in vivo endothelial phenotypic footprints of arterial bed identity and site-specific athero-susceptibility are addressed. 98 endothelial cell samples from 13 discrete coronary and non-coronary arterial regions of varying susceptibilities to atherosclerosis were isolated from 76 normal swine. Transcript profiles were analyzed to determine the steady state in vivo endothelial phenotypes. An unsupervised systems biology approach utilizing weighted gene co-expression networks determined highly correlated endothelial genes. Connectivity network analysis identified 19 gene modules, 12 of which showed significant association with circulatory bed classification. Differential expression of 1,300 genes between coronary and non-coronary artery endothelium suggested distinct coronary endothelial phenotypes with highest significance expressed in gene modules enriched for biological functions related to endoplasmic reticulum (ER) stress and unfolded protein binding, regulation of transcription and translation, and redox homeostasis. Furthermore, within coronary arteries comparison of endothelial transcript profiles of susceptible proximal regions to protected distal regions suggested the presence of ER stress conditions in susceptible sites. Accumulation of reactive oxygen species (ROS) throughout coronary endothelium was greater than in non-coronary endothelium consistent with coronary artery ER stress and the lower endothelial expression of anti-oxidant genes in coronary arteries. Gene connectivity analyses discriminated between coronary and non-coronary endothelial transcript profiles and identified differential transcript levels associated with increased ER and oxidative stress in coronary arteries, consistent with enhanced susceptibility to atherosclerosis.