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Updated: Apr 16, 2026

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Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation
Published on: November 9, 2017
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Polarization of cells and soft objects driven by mechanical interactions: consequences for migration and chemotaxis
1Laboratoire Gulliver, UMR 7083 CNRS-ESPCI, 10 rue Vauquelin, 75231 Paris Cedex 05, France.
Summary
This study models how soft objects like cells move on surfaces. Mechanical interactions cause polarization, but movement relies on substrate interactions, optimizing motility through frequency and viscosity matching.
Area of Science:
- Soft matter physics
- Biophysics
- Cellular mechanics
Background:
- Self-propelled soft objects, such as biological cells, exhibit complex behaviors like polarization and motility.
- Understanding the physical mechanisms governing these behaviors is crucial for various fields, from developmental biology to biomimetic engineering.
Purpose of the Study:
- To develop a generic model for the polarization and motility of self-propelled soft objects.
- To investigate the role of mechanical interactions and substrate properties in emergent cell behaviors.
- To explore mechanisms for optimizing motility and achieving chemotaxis.
Main Methods:
- Modeling active forces generated by cells as oscillating force multipoles at the cell-substrate interface.
- Analyzing long-range mechanical interactions mediated by intracellular and substrate components.
- Investigating the influence of system parameters like oscillation frequency, viscosity, and cellular noise.
Main Results:
- Cell polarization emerges naturally from mechanical interactions, but motility requires substrate-mediated forces.
- Optimal motility is achieved by matching oscillation frequency to system relaxation time or matching viscosities.
- Cellular noise can disrupt polarization, and motion persistence depends on cell size and substrate viscosity.
Conclusions:
- The model provides insights into how physical interactions drive cell polarization and motility.
- Chemotaxis can be achieved by modulating motion persistence, similar to bacterial 'run and tumble' behavior.
- The findings have implications for understanding biological self-propulsion and designing artificial micro-swimmers.
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