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A competitive advantage through fast dead matter elimination in confined cellular aggregates

ORAL

Abstract

Competition of different cell types for limited space is relevant in biological processes such as tissue morphogenesis and tumor growth. Predicting the outcome for non-adversarial competition of such growing active matter is non-trivial, as it depends on how processes like growth, proliferation and the degradation of cellular matter are regulated in confinement; regulation that happens even in the absence of competition to achieve homeostasis. We show that passive by-products of the processes maintaining homeostasis can significantly alter fitness, enabling cell types with lower homeostatic pressure to outcompete those with higher homeostatic pressure. Using both a theoretical toy model and an agent-based computational model that include finite-time mechanical persistence of dead cells, we reveal that interfaces play a critical role in the competition: There, growing matter with a higher proportion of active cells can better exploit local growth opportunities that continuously arise as the active processes keep the system out of mechanical equilibrium. Our results show that optimizing the proportion of growing (active) cells can be as important to survival as sensitivity to mechanical cues.

Publication: Pollack, Y. G., Bittihn, P., & Golestanian, R. (2021). A competitive advantage through fast dead matter elimination in confined cellular aggregates. bioRxiv.

Presenters

  • Yoav G Pollack

    Max Planck Institute for Dynamics and Self-Organization, Max Planck Institute for Dynamics and Self-Organization,The Max Planck Institute of Multidisciplinary Sciences

Authors

  • Yoav G Pollack

    Max Planck Institute for Dynamics and Self-Organization, Max Planck Institute for Dynamics and Self-Organization,The Max Planck Institute of Multidisciplinary Sciences

  • Yoav G Pollack

    Max Planck Institute for Dynamics and Self-Organization, Max Planck Institute for Dynamics and Self-Organization,The Max Planck Institute of Multidisciplinary Sciences

  • Philip Bittihn

    Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, Max Planck Institute for Dynamics and Self-Organization

  • Ramin Golestanian

    Max Planck Institute for Dynamics and Self-Organization