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Membrane-MEDYAN: Simulating Deformable Vesicles Containing Complex Cytoskeletal Networks.

Haoran Ni1, Garegin A Papoian1,2,3

  • 1Biophysics Program, University of Maryland, College Park, Maryland 20742, United States.

The Journal of Physical Chemistry. B
|August 31, 2021
PubMed
Summary
This summary is machine-generated.

A new computational model simulates cell cytoskeleton-membrane dynamics, revealing how actin filament bundles influence tubular membrane protrusions. Protrusion formation depends on bundle thickness and its angle to the membrane.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Computational Modeling

Background:

  • The plasma membrane shapes cells and mediates communication between internal and external environments.
  • Cytoskeleton-membrane interactions are crucial for cell mechanics and sensing external stimuli.
  • Existing computational models lack comprehensive simulation of cell-scale cytoskeleton-membrane dynamics.

Purpose of the Study:

  • To introduce a novel computational model for simulating cytoskeleton-membrane interactions.
  • To investigate the role of actin filament bundling in generating tubular membrane protrusions.
  • To explore how bundle geometry, membrane properties, and actin concentration affect protrusion dynamics.

Main Methods:

  • Developed a triangulated membrane model incorporating elastic properties and steric interactions with filaments.
  • Integrated the force field into the MEDYAN (mechanochemical dynamics of active networks) simulation platform.
  • Performed simulations varying filament bundle geometry, membrane rigidity, and G-actin concentration.

Main Results:

  • The model successfully simulates actin filament bundling's effect on tubular membrane protrusion generation.
  • Protrusion propensity is highly sensitive to the interplay between filament bundle thickness and its inclination angle.
  • Identified key geometric factors governing the initiation and dynamics of membrane protrusions.

Conclusions:

  • The new membrane-MEDYAN model enables detailed simulations of complex membrane-cytoskeleton dynamics.
  • Findings provide insights into the fundamental principles of active matter organization near the cell membrane.
  • The model facilitates research on cellular processes like leading-edge dynamics and cortical organization.