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本研究基于RNA-seq数据分析了胶质母细胞瘤中的差异表达基因,并对差异表达基因进行了功能(GO term)和通路(KEGG)富集分析。进一步通过蛋白相互作用网络挖掘了胶质母细胞瘤的调控机理。结果表明,405个基因在肿瘤组织中差异表达(p-value≤0.05,|log FC|≥1.5),其中216个(53.3%)基因上调,189个(46.6%)基因下调。基因本体(gene ontology,GO)富集结果表明,这些差异表达基因参与了离子转运,神经冲动传递,细胞信号转导和细胞粘附等。此外,KEGG通路富集结果表明,差异基因参与了许多重要的生物学通路,包括ECM受体相互作用、黏着和钙信号等通路。进一步的蛋白相互作用网络分析鉴定了5个关键的hub基因,包括PTK2B、CDK1、FN1、CCND1和FOS。这5个关键基因对于胶质母细胞瘤的发生和发展可能起到了关键作用,可以作为潜在的调控位点和筛选的标志物。
In this study, differentially expressed genes in glioblastoma were analyzed based on RNA-seq data, and GO term and pathway (KEGG) enrichment analysis of differentially expressed genes was performed. Further through the protein-protein interaction network mining glioblastoma regulation mechanism. The results showed that 405 genes were differentially expressed in tumor tissues (p-value≤0.05, | log FC |≥1.5), of which 216 (53.3%) were up-regulated and 189 (46.6%) were down-regulated. Gene ontology (GO) enrichment results show that these differentially expressed genes are involved in ion transport, nerve impulse transmission, cell signal transduction and cell adhesion. In addition, KEGG pathway enrichment results show that the differential genes involved in many important biological pathways, including ECM receptor interactions, adhesion and calcium signaling and other pathways. Further protein interaction network analyzes identified five key hub genes including PTK2B, CDK1, FN1, CCND1 and FOS. These five key genes may play a key role in the occurrence and development of glioblastoma, which may serve as potential regulatory sites and screening markers.