Inference of the drivers of collective movement in two cell types: Dictyostelium and melanoma

Ferguson, E. A. , Matthiopoulos, J. , Insall, R. H. and Husmeier, D. (2016) Inference of the drivers of collective movement in two cell types: Dictyostelium and melanoma. Journal of the Royal Society: Interface, 13(123), 20160695. (doi:10.1098/rsif.2016.0695) (PMID:27798280)

[img]
Preview
Text
129173.pdf - Published Version
Available under License Creative Commons Attribution.

995kB

Abstract

Collective cell movement is a key component of many important biological processes, including wound healing, the immune response and the spread of cancers. To understand and influence these movements, we need to be able to identify and quantify the contribution of their different underlying mechanisms. Here, we define a set of six candidate models—formulated as advection–diffusion–reaction partial differential equations—that incorporate a range of cell movement drivers. We fitted these models to movement assay data from two different cell types: Dictyostelium discoideum and human melanoma. Model comparison using widely applicable information criterion suggested that movement in both of our study systems was driven primarily by a self-generated gradient in the concentration of a depletable chemical in the cells' environment. For melanoma, there was also evidence that overcrowding influenced movement. These applications of model inference to determine the most likely drivers of cell movement indicate that such statistical techniques have potential to support targeted experimental work in increasing our understanding of collective cell movement in a range of systems.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Insall, Professor Robert and Matthiopoulos, Professor Jason and Husmeier, Professor Dirk and Ferguson, Miss Elaine
Authors: Ferguson, E. A., Matthiopoulos, J., Insall, R. H., and Husmeier, D.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Medical Veterinary and Life Sciences > Institute of Cancer Sciences
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of the Royal Society: Interface
ISSN:1742-5689
ISSN (Online):1742-5662
Published Online:26 October 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Journal of the Royal Society: Interface 13(124):20160695
Publisher Policy:Reproduced under a Creative Commons License
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record