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)
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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: | Husmeier, Professor Dirk and Matthiopoulos, Professor Jason and Insall, Professor Robert and Ferguson, Dr Elaine |
| Authors: | Ferguson, E. A., Matthiopoulos, J., Insall, R. H., and Husmeier, D. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cancer Sciences College of Science and Engineering > School of Mathematics and Statistics > Statistics College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine |
| Journal Name: | Journal of the Royal Society: Interface |
| Publisher: | The Royal Society |
| 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 |
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