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Robustness of G1/S checkpoint pathways in cell cycle regulation based on probability of DNA-damaged cells passing as healthy cells

机译:基于DNA损伤细胞作为健康细胞通过的可能性,G1 / S检查点途径在细胞周期调控中的稳健性

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We investigate the robustness and the behaviours of the critical proteins under parameter perturbations of G1/S checkpoint pathways with different levels of DNA-damage, based on a mathematical model of the pathways. We identify the peak times (PTs) of two key proteins as the in silico biomarkers based on the currently established biology, and the results from the local and global sensitivity analyses show the significant kinetic parameters that are associated with the key proteins. The robustness of the G1/S checkpoint pathways with or without DNA-damage is defined based on the probability (β) of DNA-damaged cells passing as healthy cells under the given perturbation regimes. The results from the global sensitivity analyses based on four defined levels of parameter range reveal that we can accurately distinguish healthy cells from the defective cells when parameter variations are within a range of ±10%. However, the probability of wrongly identifying damaged cells as healthy cells became very large (more than 0.43) when the level of change of parameters exceeds ±30%. Provided that there are probably millions of cells that are oncogenically primed at any given time, these dangerous cells are disposed through apoptosis and cellular senescence. However, the very recent experimental findings state that this irreversible process happens not in the pre-tumoral stage but in the pre-malignant tissue where a non-invasive tumor is formed. This points out that a large number of damaged cells undergo proliferation without being caught at DNA-damage checkpoints. Our simulation results, in terms of percentage of damaged cells that pass G1/S checkpoint agree with this possibility.
机译:我们基于路径的数学模型,研究了具有不同水平的DNA损伤的G1 / S检查点路径的参数扰动下关键蛋白的鲁棒性和行为。我们基于当前已建立的生物学特征,将两个关键蛋白的峰时间(PTs)确定为计算机模拟生物标志物,而局部和全局敏感性分析的结果表明,与关键蛋白相关的重要动力学参数。 G1 / S检查点途径在有或没有DNA损伤的情况下的稳健性是基于在给定的扰动方案下DNA损伤的细胞作为健康细胞通过的概率(β)。基于四个定义的参数范围水平的全局敏感性分析的结果表明,当参数变化在±10%的范围内时,我们可以准确地区分健康细胞与缺陷细胞。但是,当参数变化水平超过±30%时,错误地将受损细胞识别为健康细胞的可能性变得非常大(超过0.43)。假设在任何给定时间可能有数百万个细胞被致癌致敏,这些危险细胞将通过凋亡和细胞衰老来处置。然而,最近的实验发现表明,这种不可逆过程不是发生在肿瘤前阶段,而是发生在形成非侵入性肿瘤的恶变前组织中。这表明大量受损细胞在不被DNA损伤检查点捕获的情况下进行了增殖。根据通过G1 / S检查点的受损单元的百分比,我们的仿真结果与这种可能性一致。

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