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基于基因共表达网络分析的扩张和限制型心肌病分子特征比较
引用本文:黎桑,王光斌,李政文,曾伟,饶妮妮.基于基因共表达网络分析的扩张和限制型心肌病分子特征比较[J].中国生物医学工程学报,2018,37(5):560-567.
作者姓名:黎桑  王光斌  李政文  曾伟  饶妮妮
作者单位:1(电子科技大学信息生物中心,成都 611731)2(电子科技大学生命科学与技术学院,成都 610054)3(电子科技大学广东电子信息工程研究院,广东 东莞 523808)
基金项目:广东省自然科学基金重点项目(2016A030311040);四川省科技支撑计划(2015SZ0191);成都市科技惠民技术研发项目(2015-HM01-00528-SF)
摘    要:随着分子生物学的发展,两类原发性心肌病扩张型心肌病(DCM)和限制型心肌病(RCM)的研究已取得一定的进展,但是两者的发病机制和病程发展过程的分子机理尚未明确,在临床上RCM很容易被误诊为DCM。因此,首先对两类心肌疾病的RNA-Seq转录组数据进行基因表达差异显著性分析,筛选出DCM相关的差异表达基因451个、RCM相关的差异表达基因1 326个;然后用两类心肌疾病相关的差异表达基因分别构建共表达网络,并基于网络特征找出两种心肌疾病相关的重要基因(即可能的基因标志物);接着对发现的DCM相关的21个基因标志物和RCM相关的65个基因标志物进行生物功能分析,阐释两类心肌疾病的一些发生发展机制;最后从基因标志物、生物功能和信号通路多个方面比较两类心肌疾病,为在分子水平上区分两类心肌疾病提供新思路。

关 键 词:扩张型心肌病  限制型心肌病  基因共表达网络  分子特征  比较  

Comparisons Between Molecular Features of Dilated and Restrictive Cardiomyopathy Based on Gene Co-Expression Network Analysis
Li Sang,Wang Guangbin,Li Zhengwen,Zeng Wei,Rao Nini.Comparisons Between Molecular Features of Dilated and Restrictive Cardiomyopathy Based on Gene Co-Expression Network Analysis[J].Chinese Journal of Biomedical Engineering,2018,37(5):560-567.
Authors:Li Sang  Wang Guangbin  Li Zhengwen  Zeng Wei  Rao Nini
Institution:(Center for Information Biology, University of Electronic Science and Technology of China, Chengdu 611731, China) (School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China) (Guangdong Electronic Information Engineering Research Institute, University of Electronic Science and Technology of China, Dongguan 523808, Guangdong,China)
Abstract:With the development of molecular biology, the study on dilated cardiomyopathy (DCM) and restrictive cardiomyopathy (RCM) has been made much progress. However, the pathogenesis and molecular mechanism of progression of DCM and RCM are not yet clear. In clinic, RCM is easy to be misdiagnosed as DCM. This paper firstly made the difference significant analysis of RNA-Seq data for the two kinds of myocardial diseases, from which 451 and 1326 differentially expressed genes related to DCM and RCM were selected respectively. Then, the DCM and RCM co-expression networks were respectively constructed using their differentially expressed genes and the key nodes genes of the two classes of myocardial diseases were found based on the network features. Next, we performed biological function analysis for 21 and 65 genetic markers related to DCM and RCM respectively, and illustrated some important development mechanisms of the two kinds of myocardial diseases. Finally, DCM and RCM were compared from the angles of genetic markers, biological functions and signal pathways, which provided some new ideas about distinguishing DCM from RCM at molecular level.
Keywords:dilated cardiomyopathy(DCM)  Restrictive cardiomyopathy(RCM)  gene co-expression network  molecular features  comparison  
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