Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), 07745, Jena, Germany.
Molecular Oncology Group, Medical School, University of Leipzig, 04103, Leipzig, Germany.
Oncogene. 2019 May;38(21):4095-4109. doi: 10.1038/s41388-019-0706-9. Epub 2019 Feb 1.
Understanding the p53 tumor suppressor pathway remains crucial for the design of anticancer strategies. Studies in human tumors and mouse models help to unravel the molecular mechanisms that underlie the p53 signaling pathway. Yet, the p53 gene regulatory network (GRN) is not the same in mice and humans. The comparison of the regulatory networks of p53 in mice and humans reveals that gene up- and down-regulation by p53 are distinctly affected during evolution. Importantly, gene up-regulation by p53 underwent more rapid evolution and gene down-regulation has been evolutionarily constrained. This difference stems from the two major mechanisms employed by p53 to regulate gene expression: up-regulation through direct p53 target gene binding and indirect down-regulation through the p53-p21-DREAM pathway. More than 1000 genes have been identified to differ in their p53-dependent expression between mice and humans. Analysis of p53 gene expression profiles and p53 binding data reveal that turnover of p53 binding sites is the major mechanism underlying extensive variation in p53-dependent gene up-regulation. Only a core set of high-confidence genes appears to be directly regulated by p53 in both species. In contrast to up-regulation, p53-induced down-regulation is well conserved between mice and humans and controls cell cycle genes. Here a curated data set is provided that extends the previously established web-atlas at www.targetgenereg.org to assess the p53 response of any human gene of interest and its mouse ortholog. Taken together, the analysis reveals a limited translation potential from mouse models to humans for the p53 GRN.
理解 p53 肿瘤抑制因子通路对于设计抗癌策略仍然至关重要。在人类肿瘤和小鼠模型中的研究有助于揭示 p53 信号通路的分子机制。然而,p53 基因调控网络(GRN)在小鼠和人类中并不相同。比较小鼠和人类的 p53 调控网络揭示了 p53 对基因的上调和下调在进化过程中受到明显影响。重要的是,p53 对基因的上调在进化过程中经历了更快的演变,而基因的下调则受到了进化的限制。这种差异源于 p53 调控基因表达的两种主要机制:通过直接的 p53 靶基因结合进行上调和通过 p53-p21-DREAM 途径进行间接下调。已有超过 1000 个基因被鉴定为在小鼠和人类之间的 p53 依赖性表达存在差异。对 p53 基因表达谱和 p53 结合数据的分析表明,p53 结合位点的周转率是导致 p53 依赖性基因上调广泛变异的主要机制。只有一组核心的高可信度基因似乎在两种物种中都直接受到 p53 的调控。与上调相反,p53 诱导的下调在小鼠和人类之间得到了很好的保守,并且控制着细胞周期基因。这里提供了一个经过整理的数据集,该数据集扩展了之前建立的 www.targetgenereg.org 网络图谱,以评估任何人类感兴趣基因及其小鼠同源基因的 p53 反应。综上所述,分析表明从小鼠模型到人类的 p53 GRN 翻译潜力有限。