Modeling cell rheology with the Subcellular Element Model.

Area of Science:

• Biophysics
• Computational Biology
• Cell Mechanics

Background:

• The Subcellular Element Model (SEM) is a computational framework for simulating multicellular systems.
• It represents cells as collections of elastically coupled elements governed by Langevin dynamics.
• The model's applicability to single-cell rheology was previously unexplored.

Purpose of the Study:

• To evaluate the Subcellular Element Model's (SEM) ability to replicate the viscoelastic properties of single living cells.
• To assess the SEM's accuracy in capturing cellular rheological behavior across different time scales and strain levels.

Main Methods:

• Utilized virtual bulk rheology and microrheology techniques within the SEM framework.
• Simulated single cells using a detailed SEM configuration with numerous subcellular elements.
• Analyzed the emergent viscoelastic properties from SEM simulations.

Main Results:

• The SEM successfully reproduces essential cellular rheological properties at intermediate time scales and moderate strains.
• Observed phenomena include the characteristic weak power law rheology of cells.
• The basic SEM formulation is insufficient for modeling long-time or large-strain cellular responses.

Conclusions:

• The Subcellular Element Model (SEM) offers a viable approach for simulating single-cell viscoelasticity under specific conditions.
• Future work will focus on extending the SEM to incorporate active cytoskeletal dynamics for improved accuracy in complex scenarios.
• The SEM provides a foundation for understanding cell mechanics in multicellular environments.