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    孙伟, 孙珺, 薛骋, 唐先业, 辛兵, 袁峰, 冯虎, 单鸿剑. 基于基因芯片筛选恶性周围神经鞘瘤的核心基因和通路[J]. 徐州医科大学学报, 2019, 39(11): 836-842.
    引用本文: 孙伟, 孙珺, 薛骋, 唐先业, 辛兵, 袁峰, 冯虎, 单鸿剑. 基于基因芯片筛选恶性周围神经鞘瘤的核心基因和通路[J]. 徐州医科大学学报, 2019, 39(11): 836-842.
    Screening of core genes and pathways in malignant peripheral nerve sheath tumours based on gene chip[J]. Journal of Xuzhou Medical University, 2019, 39(11): 836-842.
    Citation: Screening of core genes and pathways in malignant peripheral nerve sheath tumours based on gene chip[J]. Journal of Xuzhou Medical University, 2019, 39(11): 836-842.

    基于基因芯片筛选恶性周围神经鞘瘤的核心基因和通路

    Screening of core genes and pathways in malignant peripheral nerve sheath tumours based on gene chip

    • 摘要: 目的:通过基因芯片和生物信息学的分析方法,筛选与恶性周围神经鞘瘤发生发展有关的差异表达基因和信号通路,为进一步研究和治疗恶性周围神经鞘瘤提供新的靶点和方向。 方法:在GEO数据库下载基因表达数据集GSE66743,通过分析良性神经纤维瘤和恶性周围神经鞘瘤的基因表达,获得差异表达基因(Differentially expressed genes, DEGs)。随后,使用DAVID数据库进行基因本体论(GO)功能注释和京都基因与基因组百科全书(KEGG)富集分析。使用String蛋白互作数据库对DEGs进行蛋白互作网络的构建并应用Cytoscape软件从蛋白互作网络中识别核心基因。最后使用Cytoscape软件对蛋白互作网络进行核心模块的筛选并对模块设计DEGs进行KEGG富集分析。 结果:共鉴定出上调基因493个,下调基因362个。GO分析表明DEGs主要参与细胞周期、染色体分离、有丝分裂细胞周期过程、分子功能调节和酶调节活性等;KEGG主要富集在补体和凝血级联、癌症中的蛋白多糖、酪氨酸代谢、TNF信号通路和趋化因子信号通路,细胞周期、蛋白质消化吸收、ECM-受体相互作用和Fanconi贫血途径;蛋白互作网络筛选得到了10个核心基因;对前三个核心模块所涉及的基因的富集分析表明,DEGs主要与细胞周期、系统性红斑狼疮以及补体和凝血级联相关。结论GO功能注释和KEGG富集分析揭示了MPNSTs潜在的发病机制,筛选得到的核心基因和通路为恶性周围神经鞘瘤提供了潜在的诊断和治疗靶点。

       

      Abstract: Objective The differentially expressed genes and pathways related to the occurrence and development of malignant peripheral nerve sheath tumours were screened by gene chip and bioinformatics analysis, so as to provide a new target and direction for the further study and treatment of malignant peripheral nerve sheath tumours. Methods The gene expression data set GSE66743, was downloaded from GEO database, and the differentially expressed gene was obtained by analyzing the gene expression of benign neurofibroma and malignant peripheral nerve sheath tumours. Subsequently, the DAVID database is used for GO function annotation and KEGG enrichment analysis. The String protein interaction database was used to construct the protein interaction network of DEGs and the Cytoscape software was used to identify the core genes from the protein interaction network. Finally, the core modules of the protein interaction network were screened by Cytoscape software and the KEGG enrichment analysis of the module design DEGs was carried out. Results a total of 493 up-regulated genes and 362 down-regulated genes were identified. GO analysis showed that DEGs was mainly involved in cell cycle, chromosome separation, mitotic cell cycle process, molecular function regulation and enzyme regulation activity. KEGG is mainly enriched in complement and coagulation cascade, proteoglycan, tyrosine metabolism, TNF signaling pathway and chemokine signaling pathway, cell cycle, protein digestion and absorption, ECM- receptor interaction and Fanconi anemia pathway. Ten core genes were screened by protein interaction network, and the enrichment analysis of the genes involved in the first three core modules showed that DEGs was mainly related to cell cycle, systemic lupus erythematosus, complement and coagulation cascade. Conclusion GO functional annotation and KEGG enrichment analysis reveal the potential pathogenesis of MPNSTs. The core genes and pathways provide potential diagnostic and therapeutic targets for malignant peripheral nerve sheath tumours.

       

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