title: Distinguishing between directed and undirected cell motility within an invading cell population.
abstract: Cell invasion is the basis of several fundamental biological systems including developmental morphogenesis and disease progression. Invasion processes involve combined cell motility and proliferation. Standard experimental approaches to characterize invasion systems focus on measuring population-level wavespeed data. However, continuum models which incorporate either directed or undirected motility both give rise to traveling wave solutions with a well-defined wavespeed in terms of the motility parameters. Therefore, such population-level models and experimental data cannot be used to determine whether the motility is directed or undirected. This is a major impediment limiting our ability to interpret experimental observations of cell invasion. We demonstrate how to overcome this difficulty using individual-level data and discrete models. This approach can be used to interpret and design time-lapse imaging data to determine whether the cell motility is directed or undirected. Making a distinction between directed and undirected motility has profound implications regarding our ability to design strategies to manage development and disease associated with cell invasion.
authors.affiliation: Department of Mathematics and Statistics, The University of Melbourne, 3010, Victoria, Australia. m.simpson@ms.unimelb.edu.au
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Simpson
authors.forename: Kerry A
authors.initials: KA
authors.lastname: Landman
authors.forename: Barry D
authors.initials: BD
authors.lastname: Hughes
mesh_terms: D000465:Algorithms; D002465:Cell Movement / Q000502:physiology*; D003198:Computer Simulation; D008954:Models, Biological; D009010:Monte Carlo Method; D013269:Stochastic Processes