Modeling and simulation of chemomechanics at the cell-matrix interface.

Area of Science:

• Biophysics
• Cell Biology
• Materials Science

Background:

• Cellular behavior, including adhesion and migration, is significantly influenced by the chemomechanical properties of the extracellular matrix (ECM).
• Understanding the intricate feedback loops between cells and their microenvironment is essential for modulating complex biological processes.
• Existing research highlights the need for detailed investigations into how mechanical and chemical cues from the ECM are perceived and responded to by cells.

Purpose of the Study:

• To computationally model and simulate cell-matrix interactions across molecular and continuum scales.
• To investigate the influence of extracellular matrix (ECM) stiffness and pH on cell-surface receptor-ligand interactions.
• To predict the effects of these interactions on focal adhesion formation and dissolution, and to inform the design of experimental substrata.

Main Methods:

• Utilized steered molecular dynamics to analyze receptor-ligand interactions under varying ECM stiffness and pH conditions.
• Employed continuum-level finite element simulations and analytical methods to model cell-induced ECM deformation.
• Investigated the relationship between ECM stiffness, thickness, and cell-mediated mechanical responses.

Main Results:

• Predicted how variations in ECM stiffness and extracellular pH modulate the binding affinity and dynamics of cell adhesion receptors with ECM ligands.
• Identified potential mechanisms governing focal adhesion formation and dissolution in response to altered microenvironmental cues.
• Quantified cell-induced ECM deformation, demonstrating dependence on ECM mechanical properties and geometry.

Conclusions:

• The study provides a multiscale computational framework for understanding cell-matrix mechanical and chemical crosstalk.
• Findings offer insights into designing synthetic materials that can decouple or precisely control mechanical and chemical signaling for cell-based assays.
• This work contributes to the fundamental understanding of mechanotransduction and has implications for tissue engineering and regenerative medicine.