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A new interpretation of the Keller-Segel model based on multiphase modelling

机译:基于多相建模的Keller-Segel模型的新解释

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摘要

In this paper an alternative derivation and interpretation are presented of the classical Keller-Segel model of cell migration due to random motion and chemotaxis. A multiphase modelling approach is used to describe how a population of cells moves through a fluid containing a diffusible chemical to which the cells are attracted. The cells and fluid are viewed as distinct components of a two-phase mixture. The principles of mass and momentum balance are applied to each phase, and appropriate constitutive laws imposed to close the resulting equations. A key assumption here is that the stress in the cell phase is influenced by the concentration of the diffusible chemical.By restricting attention to one-dimensional cartesian geometry we show how the model reduces to a pair of nonlinear coupled partial differential equations for the cell density and the chemical concentration. These equations may be written in the form of the Patlak-Keller-Segel model, naturally including density-dependent nonlinearities in the cell motility coefficients. There is a direct relationship between the random motility and chemotaxis coefficients, both depending in an inter-related manner on the chemical concentration. We suggest that this may explain why many chemicals appear to stimulate both chemotactic and chemokinetic responses in cell populations.After specialising our model to describe slime mold we then show how the functional form of the chemical potential that drives cell locomotion influences the ability of the system to generate spatial patterns. The paper concludes with a summary of the key results and a discussion of avenues for future research.
机译:在本文中,由于随机运动和趋化性,提出了经典的Keller-Segel细胞迁移模型的另一种推导和解释。使用多相建模方法来描述细胞群如何通过包含细胞被其吸引的可扩散化学物质的流体移动。细胞和流体被视为两相混合物的不同成分。质量和动量平衡的原理适用于每个阶段,并施加适当的本构定律来闭合所得方程。这里一个关键的假设是,细胞相中的应力受扩散性化学物质浓度的影响。通过限制对一维笛卡尔几何的关注,我们展示了该模型如何简化为一对非线性耦合的细胞密度的偏微分方程和化学浓度。这些方程式可以用Patlak-Keller-Segel模型的形式写成,自然包括细胞运动系数中依赖于密度的非线性。随机运动性和趋化性系数之间存在直接关系,两者都以相互关联的方式取决于化学浓度。我们建议这可以解释为什么许多化学物质似乎会刺激细胞群体的趋化反应和化学动力学反应。在专门化描述粘液霉菌的模型后,我们随后说明了驱动细胞运动的化学势能的功能形式如何影响系统的能力生成空间模式。本文最后总结了主要结果并讨论了未来研究的途径。

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