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Influence of the Stochasticity in Threshold Localization on Cell Fate in the PLDE-Model of the P53 Module

机译:P53模块PLDE模型中细胞命运阈值定位的阈值定位的影响

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Due to the heterogeneity of cells in a population, they react differently to the same stimuli. This diversification results in the population separating into subpopulations with different cell responses such as apoptosis, cell cycle blockade, or proliferation. Here we focus on the regulatory module of the protein p53, which is responsible for cell responses to DNA damage, and analyze a piece-wise linear model with switches discussed in our previous publications. The main goal of this work was to examine the influence of differences occurring between cells on the cellular response for different doses of external stress. We investigate the properties of the whole cell population in the case of three different types of cell diversity: diversity in sensitivity to stress, diversity in gene expression, and diversity in all the processes analyzed. The diversification of the cell population is acquired by stochastic localization of the switching thresholds. The results show that a population with high diversity in sensitivity to stress has a wide range of responses, so that almost all possible trajectories are present and consequently it is impossible, for example, to force all the cells to apoptosis. Differences in gene activation result in differences in the time courses. The apoptotic response can be activated much later and additional possible results appear. In the case of diversity in all processes analyzed, a variety of different responses can be observed even for a narrow range of the changes, and moreover additional stationary points appear. These results show that even minor changes in proper cell functioning can lead to abnormalities, which may lead to cancer.
机译:由于人群中细胞的异质性,它们与相同的刺激不同。这种多样化导致群体分离成具有不同细胞应答的群体,例如凋亡,细胞周期阻滞或增殖。在这里,我们专注于蛋白质p53的调节模块,该模块负责细胞对DNA损伤的反应,并分析我们以前的出版物中讨论的开关的片段线性模型。这项工作的主要目标是检查细胞之间发生的差异对不同剂量的外应力的细胞响应。我们研究了三种不同类型的细胞多样性的整个细胞种群的性质:敏感性的多样性,对基因表达中的敏感性,分化的多样性分析。通过切换阈值的随机定位获取细胞群的多样化。结果表明,对应力敏感性高多样性的群体具有广泛的反应,因此几乎所有可能的轨迹都存在,因此,例如,不可能强制所有细胞对细胞凋亡。基因激活的差异导致时间课程的差异。较稍后可以激活凋亡响应,并出现额外的结果。在分析所有过程的多样性的情况下,即使对于窄范围的变化,也可以观察到各种不同的响应,而且出现额外的固定点。这些结果表明,即使是适当的细胞功能的轻微变化也可能导致异常,这可能导致癌症。

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