Literature DB >> 31984411

Linear and nonlinear mechanical responses can be quite different in models for biological tissues.

Preeti Sahu1, Janice Kang, Gonca Erdemci-Tandogan, M Lisa Manning.   

Abstract

The fluidity of biological tissues - whether cells can change neighbors and rearrange - is important for their function. In traditional materials, researchers have used linear response functions, such as the shear modulus, to accurately predict whether a material will behave as a fluid. Similarly, in disordered 2D vertex models for confluent biological tissues, the shear modulus becomes zero precisely when the cells can change neighbors and the tissue fluidizes, at a critical value of control parameter s0* = 3.81. However, the ordered ground states of 2D vertex models become linearly unstable at a lower value of control parameter (3.72), suggesting that there may be a decoupling between linear and nonlinear response. We demonstrate that the linear response does not correctly predict the nonlinear behavior in these systems: when the control parameter is between 3.72 and 3.81, cells cannot freely change neighbors even though the shear modulus is zero. These results highlight that the linear response of vertex models should not be expected to generically predict their rheology. We develop a simple geometric ansatz that correctly predicts the nonlinear response, which may serve as a framework for making nonlinear predictions in other vertex-like models.

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Year:  2020        PMID: 31984411      PMCID: PMC7453973          DOI: 10.1039/c9sm01068h

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  28 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-05-19       Impact factor: 6.237

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Review 8.  Using cell deformation and motion to predict forces and collective behavior in morphogenesis.

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  1 in total

1.  Elasticity, Stability, and Quasioscillations of Cell-Cell Junctions in Solid Confluent Epithelia.

Authors:  Clément Zankoc; Matej Krajnc
Journal:  Biophys J       Date:  2020-10-02       Impact factor: 4.033

  1 in total

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