School of Life Sciences and Bioengineering, Southwest Jiaotong University.
Int J Biol Sci. 2017 Sep 5;13(9):1213-1221. doi: 10.7150/ijbs.21502. eCollection 2017.
Recent studies have indicated that long non-coding RNAs (lncRNAs) and mRNA function as competing endogenous RNAs (ceRNAs) that compete to bind to shared microRNA (miRNA) recognition elements (MREs) to perform specific biological functions during tumorigenesis. The tumor suppressor p53 is a master regulator of cancer-related biological processes by acting as a transcription factor to regulate target genes including miRNA and lncRNA. However, the mechanism in human hepatocellular carcinoma and whether p53-mediated RNA targets could form ceRNA network remain unclear. Here, we identified a series of differential expressed miRNAs, lncRNA and mRNA which were potentially regulated by p53 using RNA sequencing in HepG2. Genomic characteristics comparative analysis showed significant differences between mRNAs and lncRNAs. By integrating experimentally confirmed Ago2 and p53 binding sites, we constructed a highly reliable p53-mediated ceRNA network using hypergeometric test. The KEGG pathway enrichment analysis showed that the ceRNA network highly enriched in the cancer or p53-associated signaling pathways. Finally, using betweenness centrality analysis, we identified five master miRNAs (hsa-miR-3620-5p, hsa-miR-3613-3p, hsa-miR-6881-3p, hsa-miR-6087 and hsa-miR-18a-3p) that regulated most of the target RNAs, suggesting these miRNAs play central roles in the whole p53-mediated ceRNAs network. Taken together, our results provide a new regulatory mechanism of p53 networks for future studies in cancer therapeutics.
最近的研究表明,长非编码 RNA(lncRNA)和 mRNA 作为竞争内源性 RNA(ceRNA)发挥作用,它们竞争结合共享 microRNA(miRNA)识别元件(MRE),以在肿瘤发生过程中执行特定的生物学功能。肿瘤抑制因子 p53 通过作为转录因子发挥作用,调节包括 miRNA 和 lncRNA 在内的靶基因,从而成为癌症相关生物学过程的主要调控因子。然而,p53 介导的 RNA 靶标在人肝细胞癌中的作用机制以及是否可以形成 ceRNA 网络尚不清楚。在这里,我们使用 HepG2 中的 RNA 测序鉴定了一系列可能受 p53 调节的差异表达 miRNA、lncRNA 和 mRNA。基因组特征比较分析显示 mRNAs 和 lncRNAs 之间存在显著差异。通过整合实验验证的 Ago2 和 p53 结合位点,我们使用超几何检验构建了一个高度可靠的 p53 介导的 ceRNA 网络。KEGG 通路富集分析显示,ceRNA 网络高度富集在癌症或 p53 相关信号通路中。最后,通过介数中心性分析,我们确定了五个主要的 miRNA(hsa-miR-3620-5p、hsa-miR-3613-3p、hsa-miR-6881-3p、hsa-miR-6087 和 hsa-miR-18a-3p),它们调节了大多数靶 RNA,表明这些 miRNA 在整个 p53 介导的 ceRNA 网络中发挥核心作用。总之,我们的研究结果为癌症治疗的未来研究提供了 p53 网络的新调控机制。