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Identification of a potentially functional circRNA–miRNA–mRNA regulatory network for investigating pathogenesis and providing possible biomarkers of bladder cancer

机译:鉴定潜在的CircRNA-miRNA-mRNA调节网络,用于研究发病机制并提供膀胱癌的可能生物标志物

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Circular RNAs (circRNAs) have received considerable attention in human cancer research. However, many circRNAs remain to be detected. In our study, we determined novel circRNAs and investigated their effects on bladder cancer (BCa). Microarray dataset GSE92675 was downloaded from Gene Expression Omnibus (GEO). Then, we combined computational biology with quantitative real-time polymerase chain reaction (qRT-PCR) to select related circRNAs in BCa. The selected circRNA–microRNA (miRNA)–messenger RNA (mRNA) regulatory subnetwork was determined by Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The regulatory network constructed from the microarray dataset (GSE92675) contained 49 differentially expressed circRNAs (DECs). GO and KEGG analyses showed that the MAPK and PI3K–AKT signaling pathways were statistically significant. On the basis of qRT-PCR and the degree value calculated by the cytoHubba plugin of Cytoscape, hsa_circ_0011385 was finally confirmed. The subnetwork around hsa_circ_0011385 was constructed. In addition, we created a protein–protein interaction (PPI) network composed of 67 nodes and 274 edges after removing independent nodes. GO and KEGG analyses showed that hubgenes were involved in cell cycle activities. Moreover, they could be regulated by miRNAs and play an eventful role in BCa pathogenesis. We proposed a novel circRNA–miRNA–mRNA network related to BCa pathogenesis. This network might be a new molecular biomarker and could be used to develop potential treatment strategies for BCa.
机译:圆形RNA(Circrnas)在人体癌症研究中受到了相当大的关注。但是,许多Circrnas仍将被检测到。在我们的研究中,我们确定了新的Circrnas并调查了对膀胱癌(BCA)的影响。 MicroArray DataSet GSE92675从基因表达综合(Geo)下载。然后,我们将计算生物学与定量实时聚合酶链反应(QRT-PCR)组合以在BCA中选择相关的CircrNA。所选择的Circrna-microRNA(miRNA)-messenger RNA(mRNA)调节子网由基因肿瘤学(GO)和基因组(KEGG)分析的基因和京都百科全书确定。从微阵列数据集(GSE92675)构造的调节网络包含49个差异表达的Circrnas(DECS)。 Go和Kegg分析表明MAPK和PI3K-AKT信号通路在统计上显着。在QRT-PCR的基础上,通过Cytoskape的CytoHubba插件计算的程度值,最终确认HSA_CIRC_0011385。构建了HSA_CIRC_0011385周围的子网。此外,在去除独立节点之后,我们创建了由67个节点和274个边缘组成的蛋白质 - 蛋白质相互作用(PPI)网络。 Go和Kegg分析表明,Hubgenes参与了细胞周期活动。此外,它们可以由miRNA调节并在BCA发病机制中发挥最终作用。我们提出了一种与BCA发病机制相关的新型Circrna-miRNA-mRNA网络。该网络可能是新的分子生物标志物,可用于为BCA制定潜在的处理策略。

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