基因表达谱
转录组
DNA微阵列
微阵列分析技术
生物
医学
基因
计算生物学
急性冠脉综合征
内科学
生物信息学
基因表达
微阵列
遗传学
心肌梗塞
作者
Vivian Nogueira Silbiger,André Ducati Luchessi,Rosário Dominguez Crespo Hirata,Lídio Gonçãlves Lima Neto,Débora Cavichioli,Ãngel Carracedo,Marı́a Brión,Joaquı́n Dopazo,Francisco García‐García,Elizabete Silva dos Santos,Rui Ramos,Marcelo Ferraz Sampaio,Dikran Armaganijan,Amanda G. M. R. Sousa,Mário Hiroyuki Hirata
标识
DOI:10.1016/j.cca.2013.03.011
摘要
Genome-wide expression analysis using microarrays has been used as a research strategy to discovery new biomarkers and candidate genes for a number of diseases. We aim to find new biomarkers for the prediction of acute coronary syndrome (ACS) with a differentially expressed mRNA profiling approach using whole genomic expression analysis in a peripheral blood cell model from patients with early ACS.This study was carried out in two phases. On phase 1 a restricted clinical criteria (ACS-Ph1, n=9 and CG-Ph1, n=6) was used in order to select potential mRNA biomarkers candidates. A subsequent phase 2 study was performed using selected phase 1 markers analyzed by RT-qPCR using a larger and independent casuistic (ACS-Ph2, n=74 and CG-Ph2, n=41). A total of 549 genes were found to be differentially expressed in the first 48 h after the ACS-Ph1. Technical and biological validation further confirmed that ALOX15, AREG, BCL2A1, BCL2L1, CA1, COX7B, ECHDC3, IL18R1, IRS2, KCNE1, MMP9, MYL4 and TREML4, are differentially expressed in both phases of this study.Transcriptomic analysis by microarray technology demonstrated differential expression during a 48 h time course suggesting a potential use of some of these genes as biomarkers for very early stages of ACS, as well as for monitoring early cardiac ischemic recovery.
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