Reproducibility of scratch assays is affected by the initial degree of confluence: Experiments, modelling and model selection


Autoria(s): Jin, Wang; Shah, Esha T.; Penington, Catherine J.; McCue, Scott W.; Chopin, Lisa K.; Simpson, Matthew J.
Data(s)

09/02/2016

Resumo

Scratch assays are difficult to reproduce. Here we identify a previously overlooked source of variability which could partially explain this difficulty. We analyse a suite of scratch assays in which we vary the initial degree of confluence (initial cell density). Our results indicate that the rate of re-colonisation is very sensitive to the initial density. To quantify the relative roles of cell migration and proliferation, we calibrate the solution of the Fisher–Kolmogorov model to cell density profiles to provide estimates of the cell diffusivity, D, and the cell proliferation rate, λ. This procedure indicates that the estimates of D and λ are very sensitive to the initial density. This dependence suggests that the Fisher–Kolmogorov model does not accurately represent the details of the collective cell spreading process, since this model assumes that D and λ are constants that ought to be independent of the initial density. Since higher initial cell density leads to enhanced spreading, we also calibrate the solution of the Porous–Fisher model to the data as this model assumes that the cell flux is an increasing function of the cell density. Estimates of D and λ associated with the Porous–Fisher model are less sensitive to the initial density, suggesting that the Porous–Fisher model provides a better description of the experiments.

Identificador

http://eprints.qut.edu.au/94213/

Publicador

Elsevier

Relação

DOI:10.1016/j.jtbi.2015.10.040

Jin, Wang, Shah, Esha T., Penington, Catherine J., McCue, Scott W., Chopin, Lisa K., & Simpson, Matthew J. (2016) Reproducibility of scratch assays is affected by the initial degree of confluence: Experiments, modelling and model selection. Journal of Theoretical Biology, 390, pp. 136-145.

Fonte

School of Biomedical Sciences; Faculty of Health; Institute of Health and Biomedical Innovation; School of Mathematical Sciences; Science & Engineering Faculty

Tipo

Journal Article