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孙琪,徐莹,李兴江,刘跃光.动脉粥样硬化合并糖尿病的加权基因共表达网络构建与分析[J].中国动脉硬化杂志,2020,(10):867~874
动脉粥样硬化合并糖尿病的加权基因共表达网络构建与分析
Construction and analysis of weighted gene co-expression network for atherosclerosis with diabetes
投稿时间:2019-11-01  修订日期:2020-12-30
DOI:
中文关键词:  生物信息学  加权基因共表达网络分析  动脉粥样硬化  糖尿病
英文关键词:bioinformatics  weighted gene co-expression network analysis  atherosclerosis  diabetes
基金项目:黑龙江省自然科学基金重点项目(ZD2019H009)
作者单位E-mail
孙琪 牡丹江医学院,黑龙江省牡丹江市 157000 e-mail为985966015@qq.com,e-mail为18704651461@163.com 
徐莹 牡丹江医学院,黑龙江省牡丹江市 157000  
李兴江 牡丹江医学院,黑龙江省牡丹江市 157000  
刘跃光 牡丹江医学院,黑龙江省牡丹江市 157000 e-mail为985966015@qq.com,e-mail为18704651461@163.com 
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中文摘要:
      目的 利用加权基因共表达网络分析(WGCNA)来识别动脉粥样硬化(As)合并糖尿病有关的功能基因模块。方法 从基因表达数据库(GEO)中下载GSE23304数据集,其中包含101例As外周斑块样本(其中25例患有糖尿病)的基因表达谱,使用WGCNA对数据集进行模块化分析并关联临床表型数据,根据相关系数大小,识别出与As最为相关的表型所在的模块,并对模块内基因进行功能注释(DAVID),最后使用STRING进行蛋白互作网络分析。结果 使用WGCNA分析,最终得到了33个模块,其中As中识别到的Darkturquoise模块与糖尿病最为相关,认为Darkturquoise为糖尿病合并As的关键基因模块。结论 WGCNA分析方法识别出的As关键基因模块Darkturquoise在糖尿病中可能起到重要作用。
英文摘要:
      Aim To identify functional gene modules related to atherosclerosis (As) with diabetes by weighted gene co-expression network analysis (WGCNA). Methods GSE23304 data set containing 101 samples of atherosclerotic peripheral plaques (25 of them had diabetes) was downloaded from the gene expression omnibus (GEO), then the gene expression profile was correlated with phenotypic data and analyzed by WGCNA. According to the correlation coefficient size, the study identified the module which phenotype is the most highly associated with atherosclerosis, with functional annotation (GO) of the genes in the module, and then used STRING for protein interaction network analysis. Results 33 modules were obtained by WGCNA analysis, of which the Darkturquoise module identified by atherosclerosis is the most relevant to diabetes, and Darkturquoise is considered to be a key gene module for diabetes in atherosclerosis. Conclusion The atherosclerosis key gene module identified by WGCNA analysis may play an important role in diabetes.
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