Experimental characterization and computational modelling of two-dimensional cell spreading for skeletal regeneration
Experimental characterization and computational modelling of two-dimensional cell spreading for skeletal regeneration
Limited cell ingrowth is a major problem for tissue engineering and the clinical application of porous biomaterials as bone substitutes. As a first step, migration and proliferation of an interacting cell population can be studied in two-dimensional culture. Mathematical modelling is essential to generalize the results of these experiments and to derive the intrinsic parameters that can be used for predictions. However, a more thorough evaluation of theoretical models is hampered by limited experimental observations. In this study, experiments and image analysis methods were developed to provide a detailed spatial and temporal picture of how cell distributions evolve. These methods were used to quantify the migration and proliferation of skeletal cell types including MG63 and human bone marrow stromal cells (HBMSCs). The high level of detail with which the cell distributions were mapped enabled a precise assessment of the correspondence between experimental results and theoretical model predictions. This analysis revealed that the standard Fisher equation is appropriate for describing the migration behaviour of the HBMSC population, while for the MG63 cells a sharp front model is more appropriate. In combination with experiments, this type of mathematical model will prove useful in predicting cell ingrowth and improving strategies and control of skeletal tissue regeneration.
skeletal tissue engineering, cell migration, image analysis, mathematical modelling
1107-1117
Sengers, Bram G.
d6b771b1-4ede-48c5-9644-fa86503941aa
Please, Colin P.
118dffe7-4b38-4787-a972-9feec535839e
Oreffo, Richard O.C.
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
22 December 2007
Sengers, Bram G.
d6b771b1-4ede-48c5-9644-fa86503941aa
Please, Colin P.
118dffe7-4b38-4787-a972-9feec535839e
Oreffo, Richard O.C.
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Sengers, Bram G., Please, Colin P. and Oreffo, Richard O.C.
(2007)
Experimental characterization and computational modelling of two-dimensional cell spreading for skeletal regeneration.
Journal of the Royal Society Interface, 4 (17), .
(doi:10.1098/rsif.2007.0233).
Abstract
Limited cell ingrowth is a major problem for tissue engineering and the clinical application of porous biomaterials as bone substitutes. As a first step, migration and proliferation of an interacting cell population can be studied in two-dimensional culture. Mathematical modelling is essential to generalize the results of these experiments and to derive the intrinsic parameters that can be used for predictions. However, a more thorough evaluation of theoretical models is hampered by limited experimental observations. In this study, experiments and image analysis methods were developed to provide a detailed spatial and temporal picture of how cell distributions evolve. These methods were used to quantify the migration and proliferation of skeletal cell types including MG63 and human bone marrow stromal cells (HBMSCs). The high level of detail with which the cell distributions were mapped enabled a precise assessment of the correspondence between experimental results and theoretical model predictions. This analysis revealed that the standard Fisher equation is appropriate for describing the migration behaviour of the HBMSC population, while for the MG63 cells a sharp front model is more appropriate. In combination with experiments, this type of mathematical model will prove useful in predicting cell ingrowth and improving strategies and control of skeletal tissue regeneration.
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Published date: 22 December 2007
Keywords:
skeletal tissue engineering, cell migration, image analysis, mathematical modelling
Identifiers
Local EPrints ID: 61505
URI: http://eprints.soton.ac.uk/id/eprint/61505
ISSN: 1742-5689
PURE UUID: fa689df2-3f1d-4346-8181-017bed4cbc2c
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Date deposited: 03 Oct 2008
Last modified: 16 Mar 2024 03:51
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Author:
Colin P. Please
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