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A novel mathematical model of heterogeneous cell proliferation

机译:异构细胞增殖的新型数学模型

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摘要

We present a novel mathematical model of heterogeneous cell proliferation where the total population consists of a subpopulation of slow-proliferating cells and a subpopulation of fast-proliferating cells. The model incorporates two cellular processes, asymmetric cell division and induced switching between proliferative states, which are important determinants for the heterogeneity of a cell population. As motivation for our model we provide experimental data that illustrate the induced-switching process. Our model consists of a system of two coupled delay differential equations with distributed time delays and the cell densities as functions of time. The distributed delays are bounded and allow for the choice of delay kernel. We analyse the model and prove the nonnegativity and boundedness of solutions, the existence and uniqueness of solutions, and the local stability characteristics of the equilibrium points. We find that the parameters for induced switching are bifurcation parameters and therefore determine the long-term behaviour of the model. Numerical simulations illustrate and support the theoretical findings, and demonstrate the primary importance of transient dynamics for understanding the evolution of many experimental cell populations.
机译:我们提出了一个新的异质性细胞增殖的数学模型,其中总群体由一个缓慢增殖的细胞亚群体和一个快速增殖的细胞亚群体组成。该模型包含两个细胞过程:不对称细胞分裂和增殖状态之间的诱导转换,这是细胞群体异质性的重要决定因素。作为我们模型的动机,我们提供了实验数据来说明诱导转换过程。我们的模型由两个耦合的时滞微分方程组组成,该方程组具有分布时滞,细胞密度是时间的函数。分布式延迟是有界的,允许选择延迟内核。我们分析了该模型,证明了解的非负性和有界性,解的存在性和唯一性,以及平衡点的局部稳定性。我们发现诱导开关的参数是分叉参数,因此决定了模型的长期行为。数值模拟说明并支持了理论发现,并证明了瞬态动力学对于理解许多实验细胞群进化的主要重要性。

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