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Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells

机译:数学建模揭示了哺乳动物细胞中细胞周期参数的意外继承和变异模式

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Author summary All cells in multicellular organisms obey orchestrated sequences of signals to ensure developmental and homeostatic fitness under a variety of external stimuli. However, there also exist self-perpetuating stem-cell populations, the function of which is to provide a steady supply of differentiated progenitors that in turn ensure persistence of organism functions. This cell production engine is an important element of biological homeostasis. A similar process, albeit distorted in many respects, plays a major role in cancer development; here the robustness of homeostasis contributes to difficulty in eradication of malignancy. An important role in homeostasis seems to be played by generation of heterogeneity among cell phenotypes, which then can be shaped by selection and other genetic forces. In the present paper, we present a model of a cultured cell population, which factors in relationships among related cells and the dynamics of cell growth and important proteins regulating cell division. We find that the model not only maintains homeostasis, but that it also responds to perturbations in a manner that is similar to that exhibited by the Wright-Fisher model of population genetics. The model-cell population can become dominated by the progeny of the fittest individuals, without invoking advantageous mutations. If confirmed, this may provide an alternative mode of evolution of cell populations.
机译:作者摘要多细胞生物中的所有细胞均遵循精心设计的信号序列,以确保在各种外部刺激下的发育和体内平衡适应性。但是,也存在自我永存的干细胞种群,其功能是提供稳定的分化祖细胞,进而确保生物功能的持久性。这种细胞产生引擎是生物体内平衡的重要元素。尽管在很多方面都存在扭曲,但相似的过程在癌症发展中起着重要作用。在此,稳态的鲁棒性导致难以根除恶性肿瘤。稳态的重要作用似乎在于细胞表型之间异质性的产生,然后可以通过选择和其他遗传力来塑造异质性。在本文中,我们提出了一个培养的细胞群体模型,该模型影响相关细胞之间的关系以及细胞生长的动力学和调节细胞分裂的重要蛋白质。我们发现该模型不仅保持体内稳态,而且还以与人口遗传学Wright-Fisher模型所展示的相似的方式对扰动做出响应。模型细胞群体可以由最适合个体的后代控制,而无需调用有利的突变。如果得到证实,这可以提供细胞群进化的另一种模式。

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