Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells

Abstract The collective dynamics of cells on surfaces and interfaces poses technological and theoretical challenges in the study of morphogenesis, tissue engineering, and cancer. Different mechanisms are at play, including, cell–cell adhesion, cell motility, and proliferation. However, the relative...

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Autores principales:	Hygor P. M. Melo, F. Raquel Maia, André S. Nunes, Rui L. Reis, Joaquim M. Oliveira, Nuno A. M. Araújo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ca8a32972c774172a17d633cb9c9ed2d
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spelling	oai:doaj.org-article:ca8a32972c774172a17d633cb9c9ed2d2021-12-02T17:13:17ZCombining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells10.1038/s41598-021-99390-x2045-2322https://doaj.org/article/ca8a32972c774172a17d633cb9c9ed2d2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99390-xhttps://doaj.org/toc/2045-2322Abstract The collective dynamics of cells on surfaces and interfaces poses technological and theoretical challenges in the study of morphogenesis, tissue engineering, and cancer. Different mechanisms are at play, including, cell–cell adhesion, cell motility, and proliferation. However, the relative importance of each one is elusive. Here, experiments with a culture of glioblastoma multiforme cells on a substrate are combined with in silico modeling to infer the rate of each mechanism. By parametrizing these rates, the time-dependence of the spatial correlation observed experimentally is reproduced. The obtained results suggest a reduction in cell–cell adhesion with the density of cells. The reason for such reduction and possible implications for the collective dynamics of cancer cells are discussed.Hygor P. M. MeloF. Raquel MaiaAndré S. NunesRui L. ReisJoaquim M. OliveiraNuno A. M. AraújoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hygor P. M. Melo F. Raquel Maia André S. Nunes Rui L. Reis Joaquim M. Oliveira Nuno A. M. Araújo Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
description	Abstract The collective dynamics of cells on surfaces and interfaces poses technological and theoretical challenges in the study of morphogenesis, tissue engineering, and cancer. Different mechanisms are at play, including, cell–cell adhesion, cell motility, and proliferation. However, the relative importance of each one is elusive. Here, experiments with a culture of glioblastoma multiforme cells on a substrate are combined with in silico modeling to infer the rate of each mechanism. By parametrizing these rates, the time-dependence of the spatial correlation observed experimentally is reproduced. The obtained results suggest a reduction in cell–cell adhesion with the density of cells. The reason for such reduction and possible implications for the collective dynamics of cancer cells are discussed.
format	article
author	Hygor P. M. Melo F. Raquel Maia André S. Nunes Rui L. Reis Joaquim M. Oliveira Nuno A. M. Araújo
author_facet	Hygor P. M. Melo F. Raquel Maia André S. Nunes Rui L. Reis Joaquim M. Oliveira Nuno A. M. Araújo
author_sort	Hygor P. M. Melo
title	Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
title_short	Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
title_full	Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
title_fullStr	Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
title_full_unstemmed	Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
title_sort	combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ca8a32972c774172a17d633cb9c9ed2d
work_keys_str_mv	AT hygorpmmelo combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells AT fraquelmaia combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells AT andresnunes combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells AT ruilreis combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells AT joaquimmoliveira combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells AT nunoamaraujo combiningexperimentsandinsilicomodelingtoinfertheroleofadhesionandproliferationonthecollectivedynamicsofcells
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Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells

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