Local modulation of chemoattractant concentrations by single cells : dissection using a bulk-surface computational model
Mackenzie, J.A. and Nolan, M. and Insall, R.H. (2016) Local modulation of chemoattractant concentrations by single cells : dissection using a bulk-surface computational model. Interface Focus, 6. 20160036. ISSN 2042-8898 (https://doi.org/10.1098/rsfs.2016.0036)
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Abstract
Chemoattractant gradients are usually considered in terms of sources and sinks that are independent of the chemotactic cell. However, recent interest has focused on "self-generated" gradients, in which cell populations create their own local gradients as they move. Here we consider the interplay between chemoattractants and single cells. To achieve this we extend a recently developed computational model to incorporate breakdown of extracellular attractants by membrane-bound enzymes. Model equations are parameterised using published estimates from Dictyostelium cells chemotaxing towards cyclic AMP. We find that individual cells can substantially modulate their local attractant field under physiologically appropriate conditions of attractant and enzymes. This means the attractant concentration perceived by receptors can be a small fraction of the ambient concentration. This allows efficient chemotaxis in chemoattractant concentrations that would be saturating without local breakdown. Similar interactions in which cells locally mould a stimulus could function in many types of directed cell motility, including haptotaxis, durotaxis and even electrotaxis.
ORCID iDs
Mackenzie, J.A. ORCID: https://orcid.org/0000-0003-4412-7057, Nolan, M. ORCID: https://orcid.org/0000-0003-0748-2236 and Insall, R.H.;-
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Item type: Article ID code: 57017 Dates: DateEvent19 August 2016Published8 July 2016AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 21 Jul 2016 09:34 Last modified: 11 Nov 2024 11:25 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57017