ArticleBMC systems biology2013
Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Deformability screening identifies NUDT5 as a mediator of cellular mechanobiology.bioRxiv : the preprint server for biology · 2026Article
- Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation.Journal of the Royal Society, Interface · 2021Article
- Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling.PLoS computational biology · 2021Article
- Computational models of melanoma.Theoretical biology & medical modelling · 2020Review
- Practical parameter identifiability for spatio-temporal models of cell invasion.Journal of the Royal Society, Interface · 2020Article
- Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue.BMC systems biology · 2018Article
- Mathematical Models for Cell Migration with Real-Time Cell Cycle Dynamics.Biophysical journal · 2018Article
- Optimal Quantification of Contact Inhibition in Cell Populations.Biophysical journal · 2017Article
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- Spatio-temporal morphology changes in and quenching effects on the 2D spreading dynamics of cell colonies in both plain and methylcellulose-containing culture media.Journal of biological physics · 2016Article
- Standard melanoma-associated markers do not identify the MM127 metastatic melanoma cell line.Scientific reports · 2016Article
- Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation.PLoS computational biology · 2015Article
- Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model.BMC systems biology · 2015Article
- Spectral analysis of pair-correlation bandwidth: application to cell biology images.Royal Society open science · 2015Article
- Interpreting scratch assays using pair density dynamics and approximate Bayesian computation.Open biology · 2014Article
- How much information can be obtained from tracking the position of the leading edge in a scratch assay?Journal of the Royal Society, Interface · 2014Article
- Assessing the role of spatial correlations during collective cell spreading.Scientific reports · 2014Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe expansion of cell colonies is driven by a delicate balance of several mechanisms including cell motility, cell-to-cell adhesion and cell proliferation. New approaches that can be used to independently identify and quantify the role of each mechanism will help us understand how each mechanism contributes to the expansion process. Standard mathematical modelling approaches to describe such cell colony expansion typically neglect cell-to-cell adhesion, despite the fact that cell-to-cell adhesion is thought to play an important role.
resultsWe use a combined experimental and mathematical modelling approach to determine the cell diffusivity, D, cell-to-cell adhesion strength, q, and cell proliferation rate, λ, in an expanding colony of MM127 melanoma cells. Using a circular barrier assay, we extract several types of experimental data and use a mathematical model to independently estimate D, q and λ. In our first set of experiments, we suppress cell proliferation and analyse three different types of data to estimate D and q. We find that standard types of data, such as the area enclosed by the leading edge of the expanding colony and more detailed cell density profiles throughout the expanding colony, does not provide sufficient information to uniquely identify D and q. We find that additional data relating to the degree of cell-to-cell clustering is required to provide independent estimates of q, and in turn D. In our second set of experiments, where proliferation is not suppressed, we use data describing temporal changes in cell density to determine the cell proliferation rate. In summary, we find that our experiments are best described using the range D=161-243μm2 hour-1, q=0.3-0.5 (low to moderate strength) and λ=0.0305-0.0398 hour-1, and with these parameters we can accurately predict the temporal variations in the spatial extent and cell density profile throughout the expanding melanoma cell colony.
conclusionsOur systematic approach to identify the cell diffusivity, cell-to-cell adhesion strength and cell proliferation rate highlights the importance of integrating multiple types of data to accurately quantify the factors influencing the spatial expansion of melanoma cell colonies.
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