David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Acta Biotheoretica 52 (4):343-363 (2004)
While the control of cell migration by biochemical and biophysical factors is largely documented, a precise quantification of cell migration parameters in different experimental contexts is still questionable. Indeed, these phenomenological parameters can be evaluated from data obtained either at the cell population level or at the individual cell level. However, the range within which both characterizations of cell migration are equivalent remains unclear. We analyse here to which extent both sources of data could be integrated within a unified description of cell migration by considering the motility of the endothelial cell line EAhy926. Using time-lapse video-microscopy and associated analysis of digital image time series, we quantified EAhy926 random motility coefficient, migration speed and trajectory persistence time in two different migration assays: the in vitro wound healing assay, and the cell-populated agarose drop assay. In order to analyse the agreement between independent quantifications of cell motility based either on individual cell analysis or cell population dynamic analysis, a theoretical multi-agents cellular model was developed and discussed as a possible theoretical framework able to unify these multi-scale data. Model simulations especially reveal the potential bias induced by cell proliferation and cell-cell adhesion when cell migration parameters are estimated from the extensively used in vitro wound healing assay.
|Keywords||Philosophy Philosophy of Biology Evolutionary Biology|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
C. Wiedemann & H. A. Moser (1988). An Elementary Approach to Cell Cycle Analysis. Acta Biotheoretica 37 (2):205-236.
Philippe Tracqui & Jacques Ohayon (2004). Transmission of Mechanical Stresses Within the Cytoskeleton of Adherent Cells: A Theoretical Analysis Based on a Multi-Component Cell Model. Acta Biotheoretica 52 (4):323-341.
Audrey Pustoc'H., Jacques Ohayon, Yves Usson, Alain Kamgoue & Philippe Tracqui (2005). An Integrative Model of the Self-Sustained Oscillating Contractions of Cardiac Myocytes. Acta Biotheoretica 53 (4):277-293.
D. Manoussaki, S. R. Lubkin, R. B. Vemon & J. D. Murray (1996). A Mechanical Model for the Formation of Vascular Networks in Vitro. Acta Biotheoretica 44 (3-4):271-282.
Philippe Tracqui (1995). From Passive Diffusion to Active Cellular Migration in Mathematical Models of Tumour Invasion. Acta Biotheoretica 43 (4):443-464.
Didier Morel, Raphaël Marcelpoil & Gérard Brugal (2001). A Proliferation Control Network Model: The Simulation of Two-Dimensional Epithelial Homeostasis. Acta Biotheoretica 49 (4):219-234.
MiloŠ Jílek (1975). Stochastic Development of Cell Populations Under Non-Homogeneous Conditions. Acta Biotheoretica 24 (3-4):108-119.
I. Ferrenq, L. Tranqui, B. Vailhé, P. Y. Gumery & P. Tracqui (1997). Modelling Biological Gel Contraction by Cells: Mechanocellular Formulation and Cell Traction Force Quantification. Acta Biotheoretica 45 (3-4):267-293.
M. Aubert, M. Badoual & B. Grammaticos (2008). A Model for Short- and Long-Range Interactions of Migrating Tumour Cell. Acta Biotheoretica 56 (4):297-314.
Thomas S. Deisboeck, Tim Demuth & Yuri Mansury (2005). Correlating Velocity Patterns with Spatial Dynamics in Glioma Cell Migration. Acta Biotheoretica 53 (3):181-190.
Added to index2009-01-28
Total downloads14 ( #264,769 of 1,911,833 )
Recent downloads (6 months)2 ( #323,440 of 1,911,833 )
How can I increase my downloads?