Three-dimensional numerical model of cell morphology during migration in multi-signaling substrates

Area of Science:

• Computational biology
• Cell biology
• Biophysics

Background:

• Cell migration is crucial for biological processes like development and cancer metastasis.
• Cell movement results from morphological changes driven by forces, influenced by stimuli such as mechanotaxis, thermotaxis, chemotaxis, and electrotaxis.
• Understanding how stimuli affect cell shape and migration is essential for regulating cellular mechanics and substrate interactions.

Purpose of the Study:

• To develop a 3D computational model for analyzing cell shape changes during free migration in multi-signaling environments.
• To investigate the impact of various external stimuli on cell morphology and migration patterns.
• To provide insights into cell behavior within complex micro-environments.

Main Methods:

• A three-dimensional (3D) computational model based on finite element methodology.
• Modeling cell motion via equilibrium of forces: traction, protrusion, electrostatic, and drag.
• Simulating cell behavior under different stimuli, including mechanotaxis, thermotaxis, chemotaxis, and electrotaxis.

Main Results:

• Adding stimuli promotes more directional cell migration and elongation towards the most effective stimulus.
• Thermotaxis, chemotaxis, and electrotaxis can direct cell movement, potentially diminishing mechanotaxis effects.
• Stronger stimuli lead to increased cell elongation and greater cell membrane area.

Conclusions:

• The model offers new insights into cell morphology dynamics in multi-signaling micro-environments.
• The computational approach allows for precise investigation of cell migration under diverse stimuli.
• Findings are qualitatively consistent with experimental observations, highlighting the role of stimuli in cell shape regulation.