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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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Publisher copy:
10.1016/j.jtbi.2026.112561

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


More from this funder
Funder identifier:
https://ror.org/01cmst727
Grant:
MP-SIP-00001828
More from this funder
Funder identifier:
https://ror.org/0439y7842
Grant:
EP/W524311/1


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:
1095-8541
ISSN:
0022-5193


Language:
English
Keywords:
Pubs id:
2447737
Local pid:
pubs:2447737
Deposit date:
2026-07-31
ARK identifier:

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