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Differential co-expression analysis of venous thromboembolism based on gene expression profile data

机译:基于基因表达谱数据的静脉血栓栓塞差异共表达分析

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The aim of the present study was to screen differentially co-expressed genes and the involved transcription factors (TFs) and microRNAs (miRNAs) in venous thromboembolism (VTE). Microarray data of GSE19151 were downloaded from Gene Expression Omnibus, including 70 patients with VTE and 63 healthy controls. Principal component analysis (PCA) was performed using R software. Differential co-expression analysis was performed using R, followed by screening of modules using Cytoscape. Functional annotation was performed using Database for Annotation, Visualization, and Integrated Discovery. Moreover, Fisher test was used to screen key TFs and miRNAs for the modules. PCA revealed the disease and healthy samples could not be distinguished at the gene expression level. A total of 4,796 upregulated differentially co-expressed genes (e.g. zinc finger protein 264, electron-transfer-flavoprotein, beta polypeptide and Janus kinase 2) and 3,629 downregulated differentially co-expressed genes (e.g. adenylate cyclase 7 and single-stranded DNA binding protein 2) were identified, which were further mined to obtain 17 and eight modules separately. Functional annotation revealed that the largest upregulated module was primarily associated with acetylation and the largest downregulated module was mainly involved in mitochondrion. Moreover, 48 TFs and 62 miRNA families were screened for the 17 upregulated modules, such as E2F transcription factor 4, miR-30 and miR-135 regulating the largest module. Conversely, 35 TFs and 18 miRNA families were identified for the 8 downregulated modules, including mitochondrial ribosomal protein S12 and miR-23 regulating the largest module. Differentially co-expressed genes regulated by TFs and miRNAs may jointly contribute to the abnormal acetylation and mitochondrion presentation in the progression of VTE.
机译:本研究的目的是筛选静脉血栓栓塞症(VTE)中差异表达的基因以及相关的转录因子(TFs)和microRNA(miRNA)。 GSE19151的微阵列数据可从Gene Expression Omnibus下载,包括70例VTE患者和63个健康对照。主成分分析(PCA)使用R软件进行。使用R进行差异共表达分析,然后使用Cytoscape筛选模块。使用注释,可视化和集成发现数据库执行功能注释。此外,使用Fisher测试来筛选模块的关键TF和miRNA。 PCA显示该疾病和健康样本无法在基因表达水平上区分。共有4,796个上调的差异共表达基因(例如锌指蛋白264,电子转移黄素蛋白,β多肽和Janus激酶2)和3,629个下调的差异共表达基因(例如腺苷酸环化酶7和单链DNA结合蛋白) 2)被确定,进一步挖掘分别获得17和8个模块。功能注释显示最大的上调模块主要与乙酰化有关,最大的下调模块主要与线粒体有关。此外,筛选了48个TF和62个miRNA家族的17个上调模块,例如调节最大模块的E2F转录因子4,miR-30和miR-135。相反,针对8个下调模块,包括线粒体核糖体蛋白S12和调节最大模块的miR-23,鉴定出35个TF和18个miRNA家族。 TF和miRNA调控的差异共表达基因可能共同促进VTE进程中的异常乙酰化和线粒体呈递。

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