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Modelling of Tissue Invasion in Epithelial Monolayers.

Faris Saad Alsubaie1, Hamid Khataee1,2, Zoltan Neufeld1

  • 1School of Mathematics and Physics, The University of Queensland, Brisbane, QLD 4072, Australia.

Life (Basel, Switzerland)
|February 25, 2023
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Computational models reveal how cell mechanical properties drive tissue invasion. Even with identical cell division and death rates, differing cell stiffness can enable cancer cells to invade normal tissue.

Keywords:
cell competitioncellular Potts modelinvasiontravelling wave

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Area of Science:

  • Biophysics
  • Computational Biology
  • Cell Biology

Background:

  • Multicellular systems rely on complex biomechanical processes.
  • Mathematical and computational models are essential for understanding these interactions.
  • Tissue invasion, such as cancer progression, involves intricate cell layer dynamics.

Purpose of the Study:

  • To develop and analyze a computational model of epithelial cell layer interaction during tissue invasion.
  • To investigate the influence of cellular properties on the invasion dynamics between normal and simulated cancer cells.
  • To determine how mechanical differences between cell types affect tissue invasion.

Main Methods:

  • Utilized the cellular Potts model for simulating tissue invasion.
  • Implemented two-dimensional computational simulations using the CompuCell3D software package.
  • Analyzed the impact of varying cellular properties, including mechanical characteristics, division, and death rates.

Main Results:

  • Predicted that disparities in cell mechanical properties can induce tissue invasion, irrespective of equal division and death rates.
  • Demonstrated that invasion speed is contingent upon cell division and death rates.
  • Quantified the influence of cell mechanical properties on invasion dynamics.

Conclusions:

  • Cellular mechanical properties are critical determinants of tissue invasion.
  • Computational modeling provides valuable insights into the biomechanics of cancer progression.
  • The developed model offers a framework for exploring factors influencing tissue dynamics.