The Epitheliome: agent-based modelling of the social behaviour of cells

Walker, D.C., Southgate, J., Hill, G., Holcombe, M., Hose, D.R., Wood, S.M., Mac Neil, S. and Smallwood, R.H. [r.smallwood@shef.ac.uk] (2004) The Epitheliome: agent-based modelling of the social behaviour of cells. BioSystems, 76 (1-3). pp. 89-100. ISSN 0303-2647

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Abstract

We have developed a new computational modelling paradigm for predicting the emergent behaviour resulting from the interaction of cells in epithelial tissue. As proof-of-concept, an agent-based model, in which there is a one-to-one correspondence between biological cells and software agents, has been coupled to a simple physical model. Behaviour of the computational model is compared with the growth characteristics of epithelial cells in monolayer culture, using growth media with low and physiological calcium concentrations. Results show a qualitative fit between the growth characteristics produced by the simulation and the in vitro cell models.

Item Type:	Article
Copyright, Publisher and Additional Information:	Copyright © 2004 Elsevier Ireland Ltd. All rights reserved. Further information at http://www.dcs.shef.ac.uk/~rod/Integrative_Systems_Biology.html
Keywords:	Computational modelling, software agent, epithelium, urothelium, cell culture, calcium
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Clinical Sciences Division South (Sheffield) > Department of Medical Physics and Clinical Engineering (Sheffield) The University of York > Biology (York) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User:	Rod Smallwood
Date Deposited:	12 Feb 2007
Last Modified:	08 Feb 2013 16:47
Published Version:	http://www.elsevier.com/wps/find/journaldescriptio...
Status:	Published
Refereed:	Yes
Identification Number:	10.1016/j.biosystems.2004.05.025
URI:	http://eprints.whiterose.ac.uk/id/eprint/421

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