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A mesoscale mechanical model of cellular interactions.

Kathleen T DiNapoli1, Douglas N Robinson1, Pablo A Iglesias2

  • 1Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Biophysical Journal
|October 23, 2021
PubMed
Summary

This study introduces a computational model for cell mechanics, simulating cell shape changes and interactions with various substrates. The model incorporates receptor-mediated adhesion and a deformable nucleus for enhanced accuracy in cell behavior analysis.

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Area of Science:

  • Computational biology
  • Cell mechanics
  • Biophysics

Background:

  • Cellular morphological changes are crucial for survival in diverse tissue environments.
  • Accurate modeling of cell mechanics is essential for understanding cellular processes.

Purpose of the Study:

  • To develop a mesoscale mechanical model of cell-substrate interactions.
  • To simulate whole-cell deformations and shape changes during substrate interaction.
  • To investigate the impact of receptor-mediated adhesion and nuclear deformability on cell mechanics.

Main Methods:

  • Utilized the level set method for mesoscale modeling.
  • Implemented a viscoelastic mechanical equivalent circuit.
  • Incorporated experimentally measured parameters and receptor-mediated adhesion with catch-slip bond behavior.
  • Simulated interactions with flat, curved, and deformable substrates.
  • Included a deformable nucleus in the computational model.

Main Results:

  • The model accurately simulates whole-cell deformations using a viscoelastic mechanical equivalent circuit.
  • Receptor-mediated adhesion, governed by catch-slip bonds, was effectively modeled.
  • The influence of different substrate topographies (flat, curved, deformable) on cell adhesion was explored.
  • Inclusion of a deformable nucleus enhanced simulation accuracy.

Conclusions:

  • The developed computational model provides a robust framework for analyzing cell-substrate interactions.
  • The model accurately captures cell shape changes influenced by mechanical forces and adhesion.
  • This work lays the groundwork for advanced computational studies of multicellular interactions.