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Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies

BACKGROUND: The 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 m...

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Autores principales: Treloar, Katrina K, Simpson, Matthew J, Haridas, Parvathi, Manton, Kerry J, Leavesley, David I, McElwain, DL Sean, Baker, Ruth E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878834/
https://www.ncbi.nlm.nih.gov/pubmed/24330479
http://dx.doi.org/10.1186/1752-0509-7-137
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author Treloar, Katrina K
Simpson, Matthew J
Haridas, Parvathi
Manton, Kerry J
Leavesley, David I
McElwain, DL Sean
Baker, Ruth E
author_facet Treloar, Katrina K
Simpson, Matthew J
Haridas, Parvathi
Manton, Kerry J
Leavesley, David I
McElwain, DL Sean
Baker, Ruth E
author_sort Treloar, Katrina K
collection PubMed
description BACKGROUND: The 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. RESULTS: We 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=161−243μm(2)hour(−1), q=0.3−0.5 (low to moderate strength) and λ=0.0305−0.0398hour(−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. CONCLUSIONS: Our 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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spelling pubmed-38788342014-01-07 Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies Treloar, Katrina K Simpson, Matthew J Haridas, Parvathi Manton, Kerry J Leavesley, David I McElwain, DL Sean Baker, Ruth E BMC Syst Biol Research Article BACKGROUND: The 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. RESULTS: We 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=161−243μm(2)hour(−1), q=0.3−0.5 (low to moderate strength) and λ=0.0305−0.0398hour(−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. CONCLUSIONS: Our 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. BioMed Central 2013-12-12 /pmc/articles/PMC3878834/ /pubmed/24330479 http://dx.doi.org/10.1186/1752-0509-7-137 Text en Copyright © 2013 Treloar et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Treloar, Katrina K
Simpson, Matthew J
Haridas, Parvathi
Manton, Kerry J
Leavesley, David I
McElwain, DL Sean
Baker, Ruth E
Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title_full Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title_fullStr Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title_full_unstemmed Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title_short Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
title_sort multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878834/
https://www.ncbi.nlm.nih.gov/pubmed/24330479
http://dx.doi.org/10.1186/1752-0509-7-137
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