Motility-driven glass and jamming transitions in biological tissues
Dapeng Bi, Xingbo Yang, M. Cristina Marchetti, M. Lisa, Manning

TL;DR
This study models how cell motility influences glass and jamming transitions in biological tissues, revealing key parameters that control tissue fluidity and providing a framework for understanding developmental and cancer-related tissue behaviors.
Contribution
The paper introduces a self-propelled Voronoi model capturing cell motility and interactions, identifying parameters controlling tissue jamming and fluidity, and linking structural order to experimental observables.
Findings
Jamming transition controlled by cell speed, persistence, and shape index.
Structural order parameter defines the jamming surface.
Soft Glassy Rheology model captures transition at small persistence times.
Abstract
Cell motion inside dense tissues governs many biological processes, including embryonic development and cancer metastasis, and recent experiments suggest that these tissues exhibit collective glassy behavior. To make quantitative predictions about glass transitions in tissues, we study a self-propelled Voronoi (SPV) model that simultaneously captures polarized cell motility and multi-body cell-cell interactions in a confluent tissue, where there are no gaps between cells. We demonstrate that the model exhibits a jamming transition from a solid-like state to a fluid-like state that is controlled by three parameters: the single-cell motile speed, the persistence time of single-cell tracks, and a target shape index that characterizes the competition between cell-cell adhesion and cortical tension. In contrast to traditional particulate glasses, we are able to identify an experimentally…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
