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首页> 外文期刊>Genomics >Identification of dilated cardiomyopathy signature genes through gene expression and network data integration.
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Identification of dilated cardiomyopathy signature genes through gene expression and network data integration.

机译：通过基因表达和网络数据整合鉴定扩张型心肌病签名基因。

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摘要

Dilated cardiomyopathy (DCM) is a leading cause of heart failure (HF) and cardiac transplantations in Western countries. Single-source gene expression analysis studies have identified potential disease biomarkers and drug targets. However, because of the diversity of experimental settings and relative lack of data, concerns have been raised about the robustness and reproducibility of the predictions. This study presents the identification of robust and reproducible DCM signature genes based on the integration of several independent data sets and functional network information. Gene expression profiles from three public data sets containing DCM and non-DCM samples were integrated and analyzed, which allowed the implementation of clinical diagnostic models. Differentially expressed genes were evaluated in the context of a global protein-protein interaction network, constructed as part of this study. Potential associations with HF were identified by searching the scientific literature. From these analyses, classification models were built and their effectiveness in differentiating between DCM and non-DCM samples was estimated. The main outcome was a set of integrated, potentially novel DCM signature genes, which may be used as reliable disease biomarkers. An empirical demonstration of the power of the integrative classification models against single-source models is also given.
机译：在西方国家，扩张型心肌病（DCM）是导致心力衰竭（HF）和心脏移植的主要原因。单源基因表达分析研究已经确定了潜在的疾病生物标志物和药物靶标。但是，由于实验设置的多样性和数据的相对缺乏，人们对预测的鲁棒性和可重复性提出了担忧。这项研究提出了基于几个独立的数据集和功能网络信息的集成的可靠和可重现的DCM签名基因的鉴定。整合和分析了来自三个包含DCM和非DCM样本的公共数据集的基因表达谱，从而可以实施临床诊断模型。在本研究的一部分中，在一个全球蛋白质-蛋白质相互作用网络的背景下评估了差异表达的基因。通过搜索科学文献可以确定与HF的潜在关联。从这些分析中，建立了分类模型，并评估了它们在区分DCM和非DCM样本方面的有效性。主要结果是一组整合的，潜在地新颖的DCM签名基因，可以用作可靠的疾病生物标记。还给出了综合分类模型相对于单源模型的强大功能的经验证明。

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