Crossley Rebecca M, Maini Philip K, Baker Ruth E
Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, United Kingdom.
Bull Math Biol. 2025 Aug 8;87(9):123. doi: 10.1007/s11538-025-01502-5.
Collective cell migration plays a crucial role in numerous biological processes, including tumour growth, wound healing, and the immune response. Often, the migrating population consists of cells with various different phenotypes. This study derives a general mathematical framework for modelling cell migration in the local environment, which is coarse-grained from an underlying individual-based model that captures the dynamics of cell migration that are influenced by the phenotype of the cell, such as random movement, proliferation, phenotypic transitions, and interactions with the local environment. The resulting, flexible, and general model provides a continuum, macroscopic description of cell invasion, which represents the phenotype of the cell as a continuous variable and is much more amenable to simulation and analysis than its individual-based counterpart when considering a large number of phenotypes. We showcase the utility of the generalised framework in three biological scenarios: range expansion; cell invasion into the extracellular matrix; and T cell exhaustion. The results highlight how phenotypic structuring impacts the spatial and temporal dynamics of cell populations, demonstrating that different environmental pressures and phenotypic transition mechanisms significantly influence migration patterns, a phenomenon that would be computationally very expensive to explore using an individual-based model alone. This framework provides a versatile and robust tool for understanding the role of phenotypic heterogeneity in collective cell migration, with potential applications in optimising therapeutic strategies for diseases involving cell migration.
集体细胞迁移在众多生物学过程中起着至关重要的作用,包括肿瘤生长、伤口愈合和免疫反应。通常,迁移群体由具有各种不同表型的细胞组成。本研究推导了一个用于模拟局部环境中细胞迁移的通用数学框架,该框架是从一个基于个体的基础模型粗粒度化而来的,该基础模型捕捉了受细胞表型影响的细胞迁移动态,如随机运动、增殖、表型转变以及与局部环境的相互作用。由此产生的灵活通用模型提供了细胞侵袭的连续宏观描述,当考虑大量表型时,该模型将细胞表型表示为连续变量,比其基于个体的对应模型更易于模拟和分析。我们在三种生物学场景中展示了广义框架的实用性:范围扩展;细胞侵入细胞外基质;以及T细胞耗竭。结果突出了表型结构如何影响细胞群体的时空动态,表明不同的环境压力和表型转变机制显著影响迁移模式,而仅使用基于个体的模型来探索这一现象在计算上会非常昂贵。该框架为理解表型异质性在集体细胞迁移中的作用提供了一个通用且强大的工具,在优化涉及细胞迁移的疾病治疗策略方面具有潜在应用。