A thermodynamically motivated model for stress-fiber reorganization
A Vigliotti1,2, W Ronan1, F P T Baaijens3
1Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Biomechanics and Modeling in Mechanobiology
|September 5, 2015
Summary
This study models cell stress-fiber reorganization and contractility, explaining how cells adapt to mechanical forces. The findings reconcile previously contrasting observations in cell mechanics under cyclic loading.
Area of Science:
- Cellular mechanics
- Biophysics
- Computational biology
Background:
- Cellular mechanical properties are crucial for tissue development and disease.
- Stress fibers, composed of actin and myosin, play a key role in cell contractility and force generation.
- Understanding stress-fiber dynamics under mechanical loading is essential for cell biology.
Purpose of the Study:
- To develop a comprehensive model for stress-fiber reorganization and contractility.
- To investigate the influence of mechanical loading (stress, strain, strain rate) on stress-fiber dynamics.
- To explain previously contradictory experimental observations regarding cell behavior under cyclic loading.
Main Methods:
- A 3D computational model incorporating stress-fiber formation, dissociation, and remodeling kinetics.
- Model kinetics are based on the enthalpies of actin/myosin functional units.
- Inclusion of unbound stress-fiber protein transport and analysis under various cyclic loading conditions.
Main Results:
- The model predicts stress-fiber alignment perpendicular to strain in 2D and parallel in 3D at 10% strain and 1 Hz.
- At lower frequencies, 2D cells show strain waveform sensitivity only with asymmetric loading (fast lengthening, slow shortening).
- At very low frequencies (mHz), 2D cells align perpendicular to strain above a critical amplitude.
Conclusions:
- The developed model successfully explains diverse cell responses to cyclic mechanical stimuli.
- It highlights the importance of dimensionality (2D vs. 3D) and loading characteristics in dictating cell mechanical behavior.
- This work provides a framework for predicting cell reorganization under complex mechanical environments.
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