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作 者:王兆强[1] 裴露萍[1] 李刚 WANG Zhao-qiang;PEI Lu-ping;LI Gang(Department of Spine Surgery,the People’s Hospital of Boxing County,Binzhou 256500,China)
机构地区:[1]山东省滨州市博兴县人民医院,山东博兴县256500
出 处:《中国矫形外科杂志》2021年第23期2162-2167,共6页Orthopedic Journal of China
摘 要:[目的]利用GE0数据库中骨肉瘤(osteosarcoma,OS)基因表达谱数据,通过生物信息学方法构建circRNA-miR-NA-mRNA调控网络,探讨OS的发病机制,为OS的后续研究提供依据。[方法]基于GEO数据库筛选出在OS中差异表达的circRNAs,miRNAs和mRNAs。利用StarBase预测circRNA-miRNA的相互作用。通过TargetScan和StarBase预测miRNA耙向的mRNAs。利用Cytoscape中的ClueGO插件进行基因功能和通路富集分析。进一步筛选出circRNA-miRNA-mRNA网络中与OS患者预后相关的mRNAs。[结果]通过R语言进行筛选,与正常骨组织相比,OS组织中共有6个circRNAs和504个mRNAs上调,124个miRNAs下调。对circRNA-miRNA-mRNA调控网络中的基因通过基因功能和通路富集分析发现与多种致癌作用有关,表明其可能在OS的发生发展中发挥重要作用。进一步分析显示FSCN1、MMYO10、NUDT11、SDC4、UBE2V2基因高表达与OS患者预后差显著相关。[结论]circRNA-miRNA-mRNA网络可能为OS发生发展的分子机制提供有价值的数据支持,FSCN1、MMY010、NUDT11、SDC4、UBE2V2可能是OS新的潜在预后生物标志物。[Objective]By using the gene expression profile data of Osteosarcoma(OS)in GEO database,the circRNA-miRNA-mRNA regulatory network was constructed by bioinformatics method to explore the pathogenesis of OS,and provide basis for the subsequent study of OS.[Methods]The differential expressions of circRNAs,miRNAs and mRNAs in OS were screened out based on GEO database.StarBase was used to predict circRNA-miRNA interactions.The targeted mRNAs by miRNA were predicted by TargetScan and Star-Base.ClueGO plug-in in Cytoscape was used for gene function and pathway enrichment analysis.The mRNAs related to the prognosis of OS patients in circRNA-miRNA-mRNA network were further screened.[Results]Compared with normal bone tissue,6 circRNAs and 504 mRNAs were up-regulated and 124 miRNAs were down-regulated in OS tissue by R language screening.Through gene function and pathway enrichment analysis,genes in the circRNA-miRNA-mRNA regulatory network were found to be associated with a variety of carcinogenic effects,indicating that they may play an important role in the occurrence and development of OS.Further analysis showed that high expression of FSCN1,MMYO10,NUDT11,SDC4 and UBE2V2 genes was significantly associated with poor prognosis in OS patients.[Conclusion]CircRNA-miRNA-mRNA network may provide valuable data support for the molecular mechanism of OS occurrence and development,additionally,FSCN1,MMYO10,NUDT11,SDC4 and UBE2V2 may be new potential prognostic biomarkers of OS.
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