Preprint
Modelling the impact of phenotypic heterogeneity on cell migration: a continuum framework derived from individual-based principles
- Abstract:
- 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.
- Publication status:
- Published
- Peer review status:
- Not peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Pre-print, pdf, 4.5MB, Terms of use)
-
- Preprint server copy:
- 10.48550/arxiv.2503.23545
Authors
- Preprint server:
- arXiv
- Publication date:
- 2025-03-30
- DOI:
- EISSN:
-
2331-8422
- Language:
-
English
- Keywords:
- Pubs id:
-
2117872
- Local pid:
-
pubs:2117872
- Source identifiers:
-
W4417049798
- Deposit date:
-
2026-03-30
- ARK identifier:
Terms of use
- Copyright holder:
- Crossley et al
- Copyright date:
- 2025
- Rights statement:
- ©2025 The Authors. This paper is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record