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首页> 外文期刊>Journal of cellular physiology. >Gene coexpression analysis offers important modules and pathway of human lung adenocarcinomas
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Gene coexpression analysis offers important modules and pathway of human lung adenocarcinomas

机译:基因coexpression分析提供了重要模块和人类肺腺癌的途径

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Lung adenocarcinomas injured greatly on the people worldwide. Although clinic experiments and gene profiling analyses had been well performed, to our knowledge, systemic coexpression analysis of human genes for this cancer is still limited to date. Here, using the published data GSE75037, we built the coexpression modules of genes by Weighted Gene Co-Expression Network Analysis (WGCNA), and investigated function and protein-protein interaction network of coexpression genes by Database for Annotation, visualization, and Integrated Discovery (DAVID) and String database, respectively. First, 11 coexpression modules were conducted for 5,000 genes in the 83 samples recently. Number of genes for each module ranged from 90 to 1,260, with the mean of 454. Second, interaction relationships of hub-genes between pairwise modules showed great differences, suggesting relatively high scale independence of the modules. Third, functional enrichment of the coexpression modules showed great differences. We found that genes in modules 8 significantly enriched in the biological process and/or pathways of cell adhesion, extracellular matrix (ECM)-receptor interaction, focal adhesion, and PI3K-Akt signaling pathway, and so forth. It was inferred as the key module underlying lung adenocarcinomas. Furthermore, PPI analysis revealed that the genes COL1A1, COL1A2, COL3A1, CTGF, and BGN owned the largest number of adjacency genes, unveiling that they may functioned importantly during the occurrence of lung adenocarcinomas. To summary, genes involved in cell adhesion, ECM-receptor interaction, focal adhesion, and PI3K-Akt signaling pathway play crucial roles in human lung adenocarcinomas.
机译:肺腺癌受伤很大程度上在全球范围内。分析分析被执行,我们所知,系统性coexpression分析人类基因癌症仍然是有限的日期。建立了coexpression模块的基因加权基因Co-Expression网络分析(WGCNA),功能和调查蛋白质相互作用网络coexpression基因数据库的注释,可视化、发现和集成(大卫)分别和字符串数据库。5000年coexpression模块进行最近的83个样本的基因。为每个模块范围从90年到1260年,与454的意思是。hub-genes成对模块之间表现出极大的差异,表明相对较高的规模独立的模块。浓缩的coexpression模块显示大的差异。8显著富集在生物过程和/或细胞粘附的通路,细胞外基质(ECM)受体相互作用,粘着斑和PI3K-Akt信号通路,等等。潜在的肺腺癌。分析显示,基因COL1A1 COL1A2,COL3A1、CTGF和BGN拥有最多的他们可能邻接基因,揭幕重要的是在发生肺腺癌。在细胞粘附,ECM-receptor交互,焦附着力,PI3K-Akt信号通路至关重要的角色在人类肺腺癌。

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