Computational modeling of three-dimensional ECM-rigidity sensing to guide directed cell migration.

Area of Science:

• Biophysics
• Cell Biology
• Materials Science

Background:

• Filopodia are crucial for cells to sense chemical and mechanical cues from the extracellular matrix (ECM).
• Quantitative understanding of how filopodia sense local ECM stiffness, particularly in 3D environments, remains limited.
• The dynamic interactions between filopodia and ECM fibers complicate mechanosensing analysis.

Purpose of the Study:

• To develop a method for characterizing the ECM stiffness perceived by filopodia.
• To model filopodial mechanosensing for predicting cell migration towards stiffer ECM.
• To elucidate the mechanism of cellular durotaxis based on local ECM stiffness sensing.

Main Methods:

• Utilizing the theory of elasticity and discrete ECM fiber models.
• Developing a computational model for filopodial mechanosensing.
• Analyzing force, displacement, and their time rates at the filopodium tip during ECM interaction.

Main Results:

• The method quantifies local ECM stiffness sensed by filopodia.
• The model predicts directed cell migration towards stiffer ECM.
• The study reveals how aggregated mechanical cues explain cellular durotaxis polarity.

Conclusions:

• The developed method provides a quantitative approach to ECM stiffness sensing by filopodia.
• The findings offer insights into the biophysical mechanisms underlying directed cell migration.
• This work contributes to understanding cell-ECM interactions and mechanotransduction pathways.