p53-Mdm2回路由其反馈强度和使用ATM和延迟反馈的有效阻尼的平衡控制。

J Wagner, L Ma, J J Rice, W Hu, A J Levine, G A Stolovitzky
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引用次数: 100

摘要

当一个细胞的基因组完整性受到挑战时,它的命运部分是由p53肿瘤抑制蛋白传递的信号决定的。最近观察到,这些信号不是p53浓度的简单梯度,而是一种反直觉的极限环行为。基于对实验知识的仔细数学解释,我们提出了p53信号网络的模型,并表征了p53的稳定性和振荡动力学。在我们的模型中,ATM,一种感知DNA损伤的蛋白质,通过磷酸化激活p53。在激活状态下,p53的降解率降低,Mdm2的反激活增强,Mdm2的蛋白产物标记p53进行降解。因此p53-Mdm2系统形成了一个负反馈回路。然而,这个循环中的反馈是延迟的,因为在给定时间被p53诱导的Mdm2分子池将在稍后的某个时间标记p53分子池的降解,在Mdm2分子被转录、输出到细胞核外、翻译并运输回细胞核后。对我们模型的分析表明,这个时间滞后如何与atm控制的反馈强度和负反馈回路的有效阻尼相结合,以产生极限环振荡。出现的情况是,ATM一旦被DNA损伤激活,就会使p53-Mdm2振荡器发生超临界霍普夫分叉。这种方法提高了对我们的时滞负反馈模型的全局动力学和分岔结构的理解,并允许预测p53系统在不同扰动下的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
p53-Mdm2 loop controlled by a balance of its feedback strength and effective dampening using ATM and delayed feedback.

When the genomic integrity of a cell is challenged, its fate is determined in part by signals conveyed by the p53 tumour suppressor protein. It was observed recently that such signals are not simple gradations of p53 concentration, but rather a counter-intuitive limit-cycle behaviour. Based on a careful mathematical interpretation of the experimental body of knowledge, we propose a model for the p53 signalling network and characterise the p53 stability and oscillatory dynamics. In our model, ATM, a protein that senses DNA damage, activates p53 by phosphorylation. In its active state, p53 has a decreased degradation rate and an enhanced transactivation of Mdm2, a gene whose protein product Mdm2 tags p53 for degradation. Thus the p53-Mdm2 system forms a negative feedback loop. However, the feedback in this loop is delayed, as the pool of Mdm2 molecules being induced by p53 at a given time will mark for degradation the pool of p53 molecules at some later time, after the Mdm2 molecules have been transcribed, exported out of the nucleus, translated and transported back into the nucleus. The analysis of our model demonstrates how this time lag combines with the ATM-controlled feedback strength and effective dampening of the negative feedback loop to produce limit-cycle oscillations. The picture that emerges is that ATM, once activated by DNA damage, makes the p53-Mdm2 oscillator undergo a supercritical Hopf bifurcation. This approach yields an improved understanding of the global dynamics and bifurcation structure of our time-delayed, negative feedback model and allows for predictions of the behaviour of the p53 system under different perturbations.

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