RNA-Seq identifies novel myocardial gene expression signatures of heart failure.
RNA-Seq identifies novel myocardial gene expression signatures of heart failure.
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RNA-Seq 鉴定了心力衰竭的新心肌基因表达特征。
DOI：
10.1016/j.ygeno.2014.12.002
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发表时间：
2015-02
期刊：
影响因子：
4.4
通讯作者：
MAGNet consortium
中科院分区：
文献类型：
--
作者：
Liu Y;Morley M;Brandimarto J;Hannenhalli S;Hu Y;Ashley EA;Tang WH;Moravec CS;Margulies KB;Cappola TP;Li M;MAGNet consortium
心力衰竭是一种复杂的临床综合征，已成为发达国家成人住院治疗的最常见原因。心力衰竭的两种亚型，缺血性心脏病（ISCH）和扩张型心肌病（DCM），已使用微阵列平台进行了研究。然而，微阵列具有有限的分辨率。在这里，我们应用RNA测序（RNA-Seq）从六个个体中鉴定心力衰竭的基因特征，包括三个对照，一个ISCH和两个DCM患者。使用从这个小的RNA-Seq数据集中鉴定的基因，我们能够准确地对313个个体的心力衰竭状态进行分类。所确定的基因与通过全基因组关联研究确定的心脏代谢性状的基因显著重叠，并且这些基因的启动子富集了转录因子的结合位点。我们的研究结果表明，可以使用RNA-Seq对复杂疾病（如心力衰竭）的疾病状态进行分类，使用极小的训练数据集。
Heart failure is a complex clinical syndrome and has become the most common reason for adult hospitalization in developed countries. Two subtypes of heart failure, ischemic heart disease (ISCH) and dilated cardiomyopathy (DCM), have been studied using microarray platforms. However, microarray has limited resolution. Here we applied RNA sequencing (RNA-Seq) to identify gene signatures for heart failure from six individuals, including three controls, one ISCH and two DCM patients. Using genes identified from this small RNA-Seq dataset, we were able to accurately classify heart failure status in a much larger set of 313 individuals. The identified genes significantly overlapped with genes identified via genome-wide association studies for cardiometabolic traits and the promoters of those genes were enriched for binding sites for transcriptions factors. Our results indicate that it is possible to use RNA-Seq to classify disease status for complex diseases such as heart failure using an extremely small training dataset.