School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Melbourne Integrative Genomics, School of BioSciences, The University of Melbourne, Parkville, VIC, Australia.
J Math Biol. 2021 Mar 12;82(5):34. doi: 10.1007/s00285-021-01580-8.
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.
我们提出了一个新的异质细胞增殖的数学模型,其中总种群由一个增殖缓慢的细胞亚群和一个增殖快速的细胞亚群组成。该模型结合了两个细胞过程,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,我们提供了说明诱导转换过程的实验数据。我们的模型由一个具有分布式时滞的两个耦合时滞微分方程系统组成,细胞密度作为时间的函数。分布式时滞是有界的,并允许选择延迟核。我们分析了模型,并证明了解的非负性和有界性、解的存在唯一性以及平衡点的局部稳定性特征。我们发现,诱导转换的参数是分岔参数,因此决定了模型的长期行为。数值模拟说明了并支持了理论发现,并表明瞬态动力学对于理解许多实验细胞群体的演化具有重要意义。