Journal article
Cell–cell adhesion cannot sustain extended follower streams in a minimal non-local model of leader–follower migration
- Abstract:
- Cell–cell adhesion is widely hypothesised to maintain cohesion within the long streams of follower cells that trail leader subpopulations during collective migration, including in neural crest cell migration, angiogenesis, and cancer cell invasion. Mathematically, non-local advection–diffusion equations provide the canonical continuum framework within which to study such adhesive cell–cell interactions. Here, we study a minimal model of leader–follower migration within this framework, in which leaders migrate at constant velocity while followers are attracted to leaders and to one another over a finite spatial interaction range. Numerical simulations reveal that, although the model can maintain small cohorts of travelling follower cells, the size of these cohorts is limited by the adhesive interaction lengthscale, and is far below what is needed to reproduce the extended streams observed in vivo. This points to a structural limitation of the standard non-local adhesion formulation and highlights the need for the development of extended continuum models capable of sustaining long, coherent migratory streams through purely mass-conserving collective cell movement.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1016/j.jtbi.2026.112561
Authors
+ Simons Foundation
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- Funder identifier:
- https://ror.org/01cmst727
- Grant:
- MP-SIP-00001828
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/W524311/1
+ Edmund J. Crampin Scholarship, University of Oxford
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- Funder identifier:
- https://ror.org/052gg0110
- Publisher:
- Elsevier
- Journal:
- Journal of Theoretical Biology More from this journal
- Volume:
- 634
- Article number:
- 112561
- Publication date:
- 2026-08-03
- Acceptance date:
- 2026-07-27
- DOI:
- EISSN:
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1095-8541
- ISSN:
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0022-5193
- Language:
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English
- Keywords:
- Pubs id:
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2447737
- Local pid:
-
pubs:2447737
- Deposit date:
-
2026-07-31
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd.
- Copyright date:
- 2026
- Rights statement:
- © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
- Notes:
-
The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
This work is related to the thesis Mathematical models of single and collective cell migration in the cranial neural crest.
- Licence:
- CC Attribution (CC BY)
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