Mathematical and Computational Modeling of Amoeboid Cell Crawling

Abstract

Amoeboid motion is a dynamic mode of cell motility essential for processes such as the immune response and wound healing. This review examines recent developments in the mathematical and computational modeling of amoeboid crawling, focusing on the interplay between intracellular biochemical signaling and the physical mechanics of the cell membrane. We discuss the core components of cell motility and the integration of chemical and mechanical guidance cues suchg as chemotaxis and curvotaxis. We evaluate a range of modeling frameworks, from simple stochastic descriptions of center of mass motion to more complicated phase-field, finite-element methods and Potts models that capture complex cell shape deformations. Finally, we highlight emerging challenges, such as modeling interactions with complex topographies and large-scale multicellular coordination, as important steps toward a better understanding of cell locomotion.