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Published on: October 31, 2016
A minimal mechanically consistent model of smoothly dividing disk-shaped cells
Lukas Hupe1,2, Yoav G Pollack1,2, Jonas Isensee1,2
1Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
This study introduces a novel particle-based model for cell division, ensuring mechanical consistency and enabling accurate analysis of biological dynamics. The model accurately simulates cell mechanics during division, improving simulations of collective cell behaviors.
Area of Science:
- Physics
- Biophysics
- Computational Biology
Background:
- Cell division is fundamental to life, driving dynamics in various biological systems.
- Particle-based models are used to study emergent dynamics, but struggle with mechanical consistency during cell division.
- Aberrant mechanical fluctuations during division hinder meaningful analysis in existing models.
Purpose of the Study:
- Introduce a minimal, mechanically consistent model for cell division in particle-based simulations.
- Ensure force continuity during cell division for accurate mechanical analysis.
- Provide a framework for studying collective cell behaviors and mechanical observables.
Main Methods:
- Developed a model where cells are represented by two nodes forming overlapping disks that separate during division.
- Ensured force continuity through internal degrees of freedom, cell-cell interactions, and equations of motion.
- Translated an established spherocylinder model into the new framework for benchmarking.
Main Results:
- Demonstrated force continuity in the new disk cell model through numerical simulations.
- Quantified improvements in mechanical consistency compared to previous models.
- Showed agreement in collective behaviors like alignment and orientational order.
- Successfully extracted forces and performed Voronoi-based interpretation in confluent tissues.
- Provided a 3D generalization for embryonic-like confinement.
Conclusions:
- The new model ensures mechanical consistency during cell division, overcoming limitations of previous approaches.
- It provides a robust framework for analyzing mechanical observables like velocities and stresses in biological systems.
- The model is readily extensible for incorporating additional biological features and is available as an open-source Julia package.
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