Network and pathway analysis of microRNAs, transcription factors, target genes and host genes in human glioma
Network and pathway analysis of microRNAs, transcription factors, target genes and host genes in human glioma
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DOI：
10.3892/ol.2016.4398
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发表时间：
2016-05-01
期刊：
影响因子：
2.9
通讯作者：
Xu, Zhiwen
中科院分区：
文献类型：
--
作者：
Zhang, Ying;Zhao, Shishun;Xu, Zhiwen
迄今为止，胶质瘤的基因和microRNA （miR/miRNA）研究进展迅速。然而，相关基因和mirna的调控机制尚不清楚。本研究将基因、miRNAs和转录因子（tf）视为调控网络中的元件，重点研究tf与miRNAs、miRNAs与靶基因、miRNAs与宿主基因之间的关联。为了更清楚地显示调控相关性，我们对所有元件进行了研究，并构建了三个调控网络，即差异表达网络、相关网络和全局网络。强调了某些重要的途径，并分析了网络之间的异同。接下来，列出了差异表达基因的上下游元件、mirna和预测tf。本研究最值得注意的方面是网络的三个层次，特别是差异表达网络，因为这些网络提供的差异表达关联出现在胶质瘤等癌症的初始阶段。如果可以通过调节关联的改变将差异表达关联的状态调整到正常状态，这也被记录在研究网络和表格中，那么很可能可以调节甚至避免癌症。在本研究中，差异表达网络阐明了胶质瘤的发病机制；例如，TF可以调节一个或多个mirna，靶基因可以被一个或多个mirna靶向。因此，宿主基因与靶基因、宿主基因与tf、靶基因与tf通过mirna间接相互影响。tf与tf、靶基因与靶基因、宿主基因与宿主基因之间也存在关联。本研究还证明了自适应关联和循环规律。相关网络进一步描述了与胶质瘤相关的调控机制。这些结果可以用来调整状态。本研究阐述了胶质瘤的调控机制，为进一步的研究提供了理论数据，值得进一步关注重点基因和mirna。
To date, there has been rapid development with regard to gene and microRNA (miR/miRNA) research in gliomas. However, the regulatory mechanisms of the associated genes and miRNAs remain unclear. In the present study, the genes, miRNAs and transcription factors (TFs) were considered as elements in the regulatory network, and focus was placed on the associations between TFs and miRNAs, miRNAs and target genes, and miRNAs and host genes. In order to show the regulatory correlation clearly, all the elements were investigated and three regulatory networks, namely the differentially-expressed, related and global networks, were constructed. Certain important pathways were highlighted, with analysis of the similarities and differences among the networks. Next, the upstream and downstream elements of differentially-expressed genes, miRNAs and predicted TFs were listed. The most notable aspect of the present study was the three levels of network, particularly the differentially-expressed network, since the differentially-expressed associations that these networks provide appear at the initial stages of cancers such as glioma. If the states of the differentially-expressed associations can be adjusted to the normal state via alterations in regulatory associations, which were also recorded in the study networks and tables, it is likely that cancer can be regulated or even avoided. In the present study, the differentially-expressed network illuminated the pathogenesis of glioma; for example, a TF can regulate one or more miRNAs, and a target gene can be targeted by one or more miRNAs. Therefore, the host genes and target genes, the host genes and TFs, and the target genes and TFs indirectly affect each other through miRNAs. The association also exists between TFs and TFs, target genes and target genes, and host genes and host genes. The present study also demonstrated self-adaption associations and circle-regulations. The related network further described the regulatory mechanism associated with glioma. These results can be utilized to adjust the states. The present study expounded the regulatory mechanisms of glioma and supplied theoretical data for further studies, in which greater attention should be focused on the highlighted genes and miRNAs.