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Uecker, H.* ; Müller, J. ; Hense, B.A.

Individual-based model for quorum sensing with background flow.

Bull. Math. Biol. 76, 1727-1746 (2014)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Quorum sensing is a wide-spread mode of cell-cell communication among bacteria in which cells release a signalling substance at a low rate. The concentration of this substance allows the bacteria to gain information about population size or spatial confinement. We consider a model for [Formula: see text] cells which communicate with each other via a signalling substance in a diffusive medium with a background flow. The model consists of an initial boundary value problem for a parabolic PDE describing the exterior concentration [Formula: see text] of the signalling substance, coupled with [Formula: see text] ODEs for the masses [Formula: see text] of the substance within each cell. The cells are balls of radius [Formula: see text] in [Formula: see text], and under some scaling assumptions we formally derive an effective system of [Formula: see text] ODEs describing the behaviour of the cells. The reduced system is then used to study the effect of flow on communication in general, and in particular for a number of geometric configurations.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Dimension Reduction ; Drift ; Parabolic Pde ; Quorum Sensing; Pseudomonas-aeruginosa; Diffusion; Biofilms; Communication; System
Language english
Publication Year 2014
HGF-reported in Year 2014
ISSN (print) / ISBN 0092-8240
e-ISSN 1522-9602
Journal Bulletin of Mathematical Biology
Quellenangaben Volume: 76, Issue: 7, Pages: 1727-1746 Article Number: , Supplement: ,
Publisher Springer
Publishing Place New York
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-001
PubMed ID 24849771
DOI 10.1007/s11538-014-9974-2
WOS ID WOS:000340928600008
Scopus ID 84906943535
Erfassungsdatum 2014-06-10
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