应用WGCNA算法鉴定冠心病进展过程中的关键基因

Identification of Hub Genes in Coronary Artery Disease Progression with WGCNA

目的:利用综合的生物信息分析方法,鉴定影响冠心病进展的关键通路和枢纽基因。方法:利用双尾T检验筛选出冠心病进展过程中的差异表达基因,进行功能注释和通路分析,初步探究冠心病进展过程中的功能和通路变化。利用加权基因共表达网络分析(WGCNA)的方法和差异表达基因的数据,建立反映基因调控网络特性的加权共表达网络,鉴定出网络内功能上高度相关的基因模块。筛选出与冠心病进展高度相关的基因模块和模块内的枢纽基因,进行功能注释和通路分析。结果:筛选出4496个差异表达基因,发现能量代谢、电传导、心肌收缩和部分心脏疾病相关的通路被激活。WGCNA共构建出8个基因模块,其中Yellow模块与冠心病进展高度相关,其枢纽基因为C6orf25、CTDSPL、TUBB1、PTGS1和ABLIM3,功能注释和通路分析也证实该模块与冠心病进展高度相关。结论:本研究采用综合的生物信息分析方法鉴定出了冠心病进展过程中的关键通路和枢纽基因,这些枢纽基因可作为冠心病诊疗过程中的靶分子,为临床决策和实验研究提供依据和思路。

Objective:To identify key pathways and hub genes in coronary artery disease progression using integrated bioinformatics analysis methods.Methods:Differentially expressed genes in coronary artery disease progression was screened by two-tailed T-test and function annotation and pathway analysis were applied.Workflow of WGCNA was run with differentially expressed genes to provide holistic view of gene network and gene modules was detected.Function annotation and pathway analysis were applied for module which was highly correlated with coronary artery disease progression and hub genes were detected within module.Results:4496 differentially expressed genes were detected,TCA cycle,Gap junction,Cardiac muscle contraction,Calcium Signaling and some pathways about cardiovascular diseases were activated.WGCNA identified 8 modules within which Yellow module was highly correlated with coronary artery disease progression.Hub genes of Yellow module were filtrated and they are C6orf25,CTDSPL,TUBB1,PTGS1 and ABLIM3.Function annotation and pathway analysis confirmed that Yellow module was highly correlated with coronary artery disease progression.Conclusion:Key pathways and hub genes in coronary artery disease progression were unveiled using integrated bioinformatics analysis methods.These hub genes could serve as potential targets for diagnosis and treatment in coronary artery disease and providing inspiration for decision-making in clinic and future research.