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Modeling and Imaging 3-Dimensional Collective Cell Invasion
Published on: December 7, 2011
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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
Summary
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.
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.
