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How Cells Stay Together: A Mechanism for Maintenance of a Robust Cluster Explored by Local and Non-local Continuum
Andreas Buttenschön1, Shona Sinclair2, Leah Edelstein-Keshet2
1Department of Mathematics and Statistics, University of Massachusetts, 710 N. Pleasant St, Amherst, MA, 01003, USA. andreas.buttenschoen@umass.edu.
Cellular development relies on cell migration. This study models how cell communication creates clustering, determining conditions for robust cell clusters during embryonic development.
Area of Science:
- Developmental biology
- Mathematical modeling
- Cellular dynamics
Background:
- Embryonic development involves precise cell migration for organ and tissue formation.
- Cells sometimes migrate collectively as cohesive clusters.
- Continuum models are essential for understanding large-scale cellular behaviors.
Purpose of the Study:
- To apply and extend a recent local approximation of non-local continuum models for cell migration.
- To investigate the formation, stability, and characteristics of cell clusters.
- To derive conditions for robust cluster formation in attractant-repellent chemotaxis scenarios.
Main Methods:
- Utilized a local approximation of non-local continuum models.
- Specified biologically-based cell-cell interactions to derive an effective Morse potential.
- Analyzed clustering instability, cluster existence, size, and stability.
- Derived an explicit condition for robust cluster existence under chemotaxis.
Main Results:
- Cell communication effectively generates an attraction-repulsion Morse potential.
- The study determines conditions for the existence and stability of cell clusters.
- An explicit condition guaranteeing robust clusters in attractant-repellent chemotaxis was derived.
- The accuracy of the local approximation was evaluated against the full non-local model.
Conclusions:
- The local approximation provides a valuable framework for studying cell clustering during development.
- Understanding cell-cell interactions is key to predicting robust cluster formation.
- This work offers insights into the mathematical underpinnings of collective cell migration.
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