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Different gene expression profile in acute coronary sindrome (ACS) patients compared to stable angina(SA) patients.. Homo sapiens

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NIAID Data Ecosystem2026-03-08 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA238189
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We have employed whole genome microarray expression profiling as a discovery platform to identify genes involved in plaque rupture. Human coronary artery endothelial cells (ECs) were stimulated in vitro for 12 hours with plasma obtained from the coronary sinus (CS) and the aorta (Ao) of patients with ACS (n=8), or patients with stable angina (SA, n=4). For each patient, gene expression profile was evaluated by microarray technology in ECs exposed to plasma obtained from CS and compared to that of ECs exposed to plasma sampled from Ao. In patient with ACS we found 684 genes up-regulated and 283 down-regulated was observed as compared to patients with SA. Functional and network analyses of statistically significant gene showed that the up regulated genes were associated to pathways IL17 Signaling. To validate the microarray data the RNAs were used for Real Time PCR experiment. Overall design: Human coronary artery endothelial cells (ECs) were stimulated in vitro for 12 hours with plasma obtained from the coronary sinus (CS) and the aorta (Ao) of patients with ACS (n=8), or patients with stable angina (SA, n=4). For each patient, gene expression profile was evaluated by microarray technology in ECs exposed to plasma obtained from CS and compared to that of ECs exposed to plasma sampled from Ao.

本研究以全基因组微阵列表达谱作为发现平台,旨在鉴定参与斑块破裂的相关基因。将人类冠状动脉内皮细胞(endothelial cells, ECs)分别用急性冠状动脉综合征(Acute Coronary Syndrome, ACS,n=8)患者与稳定型心绞痛(Stable Angina, SA,n=4)患者的冠状窦(coronary sinus, CS)及主动脉(aorta, Ao)血浆进行体外刺激12小时。针对每名患者,分别采用微阵列技术对暴露于CS血浆的ECs与暴露于Ao血浆的ECs进行基因表达谱检测,并开展组间比较。与SA患者相比,ACS患者对应的ECs中检出684个上调基因与283个下调基因。对具有统计学显著性的差异基因进行功能富集与网络分析后发现,上调基因显著关联于IL17信号通路(IL17 Signaling)。为验证微阵列实验结果,我们提取RNA开展了实时荧光定量PCR(Real Time PCR)实验。总体实验设计:人类冠状动脉内皮细胞(ECs)分别用急性冠状动脉综合征(ACS,n=8)患者和稳定型心绞痛(SA,n=4)患者的冠状窦(CS)与主动脉(Ao)血浆进行体外刺激12小时。针对每名患者,分别采用微阵列技术对暴露于CS血浆的ECs与暴露于Ao血浆的ECs进行基因表达谱检测,并开展组间比较。
创建时间:
2014-02-13
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