Continuum approximations for lattice-free multi-species models of collective cell migration. (7th June 2017)

• Record Type: Journal Article
• Authors: Matsiaka, Oleksii M.; Penington, Catherine J.; Baker, Ruth E.; Simpson, Matthew J.
• Is Part Of: Journal of theoretical biology. Volume 422(2017)
• Page Start: 1
• Page End: 11
• Publication Date: 2017-06-07
• Subjects: Cell migration -- Mean field approximation -- Moment dynamics approximation -- Kirkwood superposition approximation; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2017.04.009
• Languages: English
• ISSNs: 0022-5193

Abstract

Highlights: New lattice-free stochastic model of collective cell migration with an arbitrary number of distinct interacting subpopulations. Infinite hierarchy of moment equations derived to describe the stochastic model. Mean field and moment dynamics approximations are used to mimic different kinds of monoculture and coculture cell biology experiments. Moment dynamics description is necessary when adhesive forces are sufficiently strong. Mean field description is sufficient when adhesive forces are sufficiently weak. Abstract: Cell migration within tissues involves the interaction of many cells from distinct subpopulations. In this work, we present a discrete model of collective cell migration where the motion of individual cells is driven by random forces, short range repulsion forces to mimic crowding, and longer range attraction forces to mimic adhesion. This discrete model can be used to simulate a population of cells that is composed of K ≥ 1 distinct subpopulations. To analyse the discrete model we formulate a hierarchy of moment equations that describe the spatial evolution of the density of agents, pairs of agents, triplets of agents, and so forth. To solve the hierarchy of moment equations we introduce two forms of closure: (i) the mean field approximation, which effectively assumes that the distributions of individual agents are independent; and (ii) a moment dynamics description that is based on the Kirkwood superposition approximation. The moment dynamics description provides an approximate way of incorporating spatial patterns, such as agent clustering, into the continuum description. Comparing the performance of the two continuum descriptions confirms that both perform well when adhesive forces are sufficiently weak. In contrast, the moment dynamics description outperforms the mean field model when adhesive forces are sufficiently large. This is a first attempt to provide an accurate continuum description of a lattice-free, multi-species model of collective cell migration.