Synchronization in stress p53 network

Gurumayum Reenaroy Devi;Md. Jahoor Alam;R.K. Brojen Singh
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引用次数: 4

Abstract

We study transition of the temporal behaviours of $p53$ and $MDM2$ in a stress p53-MDM2-NO regulatory network induced by a bioactive molecule $NO$ (Nitric Oxide). We further study synchronization among a group of identical stress systems arranged in a 3D array with nearest neighbour diffusive coupling. The role of $NO$ and the effect of noise are investigated. In the single system study, we found three distinct types of temporal behaviour of $p53$ , namely oscillation death, damped oscillation and sustained oscillation, depending on the amount of stress induced by $NO$ , indicating how $p53$ responds to incoming stress. The correlation among coupled systems increases as the value of the coupling constant ( $\epsilon$ ) is increased ( $\gamma$ increases) and becomes constant after a certain value of $\epsilon$ . The permutation entropy spectra $H(\epsilon )$ for $p53$ and $MDM2$ as a function of $\epsilon$ are found to be different due to direct and indirect interaction of $NO$ with respective proteins. We find $\gamma$ versus $\epsilon$ for $p53$ and $MDM2$ to be similar in a deterministic approach but different in a stochastic approach, and the separation between $\gamma$ of the respective proteins as a function of $\epsilon$ decreases as system size increases. The role of $NO$ is found to be two-fold: stress induced by NO is prominent at small and large values of $\epsilon$ but synchrony induced by it dominates in the moderate range of $\epsilon$ . Excess stress induces apoptosis.
应激p53网络的同步性
我们研究了在生物活性分子$NO$(一氧化氮)诱导的应激p53-MDM2-NO调节网络中$p53$和$MDM2$的时间行为转变。我们进一步研究了一组具有最近邻扩散耦合的相同应力系统在三维阵列中的同步。研究了$NO$的作用和噪声的影响。在单系统研究中,我们发现$p53$的三种不同类型的时间行为,即振荡死亡、阻尼振荡和持续振荡,这取决于$NO$引起的应力量,表明$p53$如何响应传入的应力。耦合系统之间的相关性随着耦合常数$\epsilon$的增大而增大($\gamma$增大),在$\epsilon$达到一定值后趋于恒定。由于$NO$与各自蛋白质的直接和间接相互作用,发现$p53$和$MDM2$的排列熵谱$H(\epsilon )$作为$\epsilon$的函数是不同的。我们发现$p53$和$MDM2$的$\gamma$与$\epsilon$在确定性方法中是相似的,但在随机方法中是不同的,并且$\gamma$之间的分离作为$\epsilon$的函数随着系统大小的增加而减少。$NO$的作用是双重的:在$\epsilon$的小值和大值处,NO诱导的应力是突出的,而在$\epsilon$的中等范围内,NO诱导的同行性是主要的。过度应激诱导细胞凋亡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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