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Rigidity of Epithelial Tissues as a Double Optimization Problem

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arxiv 2312.11683 v5 pith:J4PD4QRU submitted 2023-12-18 cond-mat.soft physics.bio-phq-bio.TO

classification cond-mat.softphysics.bio-phq-bio.TO
keywords degreesfreedomrigiditytunableareascellshapestarget
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How do cells tune emergent properties at the scale of tissues? One class of such emergent behaviors are rigidity transitions, in which a tissue changes from a solid-like to a fluid-like state or vice versa. Here, we introduce a new way for a tissue described by a vertex model to tune its rigidity, by using ``tunable degrees of freedom." We use the vertex model elastic energy as a cost function and the cell stiffnesses, target shapes, and target areas as different sets of degrees of freedom describing cell-cell interactions that can be tuned to minimize the cost function. We show that the rigidity transition is unaffected when cell stiffnesses are treated as tunable degrees of freedom. When preferred shapes or areas are treated as tunable degrees of freedom, however, induced spatial correlations in target cell shapes or areas shift the rigidity transition. These observations suggest that tissues can coordinate changes in cell-scale properties, treated here as tunable degrees of freedom, to achieve desired tissue-scale behaviors.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Rigidity and mechanical response in biological structures

    cond-mat.soft 2025-08 conditional novelty 2.0 of 10

    This review organizes biological rigidity transitions into first-order (connectivity) and second-order (geometry) types, proposing that a codimension-one critical manifold explains why underconnected networks are often rigid.

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