Mathematics of cell motility: have we got its number?
Mathematical and computational modeling is rapidly becoming an essential research technique complementing traditional experimental biological methods. However, lack of standard modeling methods, difficulties of translating biological phenomena into mathematical language, and differences in biological and mathematical mentalities continue to hinder the scientific progress. Here we focus on one area-cell motility-characterized by an unusually high modeling activity, largely due to a vast amount of quantitative, biophysical data, 'modular' character of motility, and pioneering vision of the area's experimental leaders. In this review, after brief introduction to biology of cell movements, we discuss quantitative models of actin dynamics, protrusion, adhesion, contraction, and cell shape and movement that made an impact on the process of biological discovery. We also comment on modeling approaches and open questions.
Mogilner
Alex
A
Department of Neurobiology, Physiology and Behavior, University of California, Davis, CA, 95618, USA. mogilner@math.ucdavis.edu
D000199:Actins / Q000502:physiology; D000818:Animals; D002448:Cell Adhesion / Q000502:physiology; D002465:Cell Movement / Q000502:physiology*; D008954:Models, Biological; D009218:Myosins / Q000502:physiology
D000199:Actins; D009218:Myosins