A constrained mixture approach to mechano-sensing and force generation in contractile cells

Vernerey, Franck J.; Farsad, Mehdi

doi:10.1016/j.jmbbm.2011.05.022

Cited by 77 publications

(90 citation statements)

References 39 publications

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“…Models for the remodeling of the cytoskeletal stress-fibers such as those of Deshpande et al (2006), Vernerey and Farsad (2011) and Obbink-Huizer et al (2014) are purely phenomenological in nature. Here we use thermodynamic considerations to motivate a model for the stress-fiber kinetics in which the observed stress, strain and strain-rate dependence of stress-fiber dynamics are natural outcomes.…”

Section: Formulation Of a Thermodynamically-motivated Modelmentioning

confidence: 99%

“…However, these models are typically unable to account for the full range of observations. For example, the models of Deshpande et al (2006) and Vernerey and Farsad (2011) accurately predict the strain avoidance for the cyclic response of cells on 2D substrates but cannot model the alignment of the stress-fibers with the imposed strain in 3D. On the other hand, the model proposed by Obbink-Huizer et al (2014) is able to account for the cyclic response of cells in both the 2D and 3D settings by including a strain dependence in the stress-fiber kinetics.…”

Section: Introductionmentioning

confidence: 99%

“…Comparison with existing models The model presented here falls in a class of continuum models for stress-fiber remodeling initiated by Deshpande et al (2006) and then extended and modified by Vernerey and Farsad (2011) and more recently Obbink-Huizer et al (2014). It is instructive to compare and contrast both the formulations and the predictions of these models.…”

mentioning

confidence: 99%

“…It is instructive to compare and contrast both the formulations and the predictions of these models. The model of ObbinkHuizer et al (2014) combines the models of Deshpande et al (2006) and Vernerey and Farsad (2011) and in many ways supersedes these models. We thus restrict the comparison of the current model with that of Obbink-Huizer et al (2014).…”

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confidence: 99%

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A thermodynamically motivated model for stress-fiber reorganization

Vigliotti

Ronan

Baaijens

et al. 2015

Biomech Model Mechanobiol

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Section: Formulation Of a Thermodynamically-motivated Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A thermodynamically motivated model for stress-fiber reorganization

Vigliotti

Ronan

Baaijens

et al. 2015

Biomech Model Mechanobiol

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“…Several mathematical models have been proposed to explain the remodeling of SFs and predict their interaction with the cellular surroundings (35)(36)(37)(38). In 2006, Deshpande et al (35) introduced a bio-chemo-mechanical model to predict the effects of cyclic strain on SFs, and therefore give a possible explanation for the phenomenon of SA (39).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Cell Alignment on Cyclically Strained Grooved Substrates

Ristori

Vigliotti

Baaijens

et al. 2016

Biophysical Journal

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Cells respond to both mechanical and topographical stimuli by reorienting and reorganizing their cytoskeleton. Under certain conditions, such as for cells on cyclically stretched grooved substrates, the effects of these stimuli can be antagonistic. The biophysical processes that lead to the cellular reorientation resulting from such a competition are not clear yet. In this study, we hypothesized that mechanical cues and the diffusion of the intracellular signal produced by focal adhesions are determinants of the final cellular alignment. This hypothesis was investigated by means of a computational model, with the aim to simulate the (re)orientation of cells cultured on cyclically stretched grooved substrates. The computational results qualitatively agree with previous experimental studies, thereby supporting our hypothesis. Furthermore, cellular behavior resulting from experimental conditions different from the ones reported in the literature was simulated, which can contribute to the development of new experimental designs.

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Implementing cell contractility in filament‐based cytoskeletal models

Fallqvist

2016

Cytoskeleton

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Cells are known to respond over time to mechanical stimuli, even actively generating force at longer times. In this paper, a microstructural filament-based cytoskeletal network model is extended to incorporate this active response, and a computational study to assess the influence on relaxation behaviour was performed. The incorporation of an active response was achieved by including a strain energy function of contractile activity from the cross-linked actin filaments. A four-state chemical model and strain energy function was adopted, and generalisation to three dimensions and the macroscopic deformation field was performed by integration over the unit sphere. Computational results in MATLAB and ABAQUS/Explicit indicated an active cellular response over various time-scales, dependent on contractile parameters. Important features such as force generation and increasing cell stiffness due to prestress are qualitatively predicted. The work in this paper can easily be extended to encompass other filament-based cytoskeletal models as well.

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A constrained mixture approach to mechano-sensing and force generation in contractile cells

Cited by 77 publications

References 39 publications

A thermodynamically motivated model for stress-fiber reorganization

A thermodynamically motivated model for stress-fiber reorganization

Prediction of Cell Alignment on Cyclically Strained Grooved Substrates

Implementing cell contractility in filament‐based cytoskeletal models

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