Shape driven confluent rigidity transition in curved biological tissues
Evan Thomas, Sevan Hopyan

TL;DR
This study uses a computational model to show that tissue curvature influences the rigidity transition of cell monolayers, with higher curvature promoting more fluid, less rigid tissue states, impacting morphogenesis understanding.
Contribution
It introduces a curvature-dependent phase diagram for tissue rigidity, linking local geometry to large-scale tissue dynamics in a novel way.
Findings
Higher curvature reduces tissue rigidity, promoting fluidity.
The phase diagram predicts tissue behavior based on curvature and cell shape.
Curvature effects may explain tissue remodeling in morphogenesis.
Abstract
Collective cell motions underlie structure formation during embryonic development. Tissues exhibit emergent multicellular characteristics such as jamming, rigidity transitions, and glassy dynamics, but there remain questions about how those tissue scale dynamics derive from local cell level properties. Specifically, there has been little consideration of the interplay between local tissue geometry and cellular properties influencing larger scale tissue behaviours. Here we consider a simple two dimensional computational vertex model for confluent tissue monolayers, which exhibits a rigidity phase transition controlled by the shape index (ratio of perimeter to square root area) of cells, on a spherical surface. We show that the critical point for the rigidity transition is a function of curvature such that more highly curved systems are more likely to be in a less rigid, more fluid,…
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Taxonomy
TopicsCellular Mechanics and Interactions · Biocrusts and Microbial Ecology · 3D Printing in Biomedical Research
