Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/74291

TitleCombining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells
Author(s)Melo, H. P. M.
Maia, F. Raquel
Nunes, A. S.
Reis, R. L.
Oliveira, J. M.
Araújo, N. A. M.
KeywordsCell adhesion
Cell collective dynamics
Cell proliferation
In silico modeling
Issue dateOct-2021
PublisherNature Research
JournalScientific Reports
CitationMelo H. P. M., Maia F. R., Nunes A. S., Reis R. L., Oliveira J. M., Araújo N. A. M. Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells, Scientific Reports, Vol. 11, pp. 19894, doi:10.1038/s41598-021-99390-x, 2021
Abstract(s)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, cellâ 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 cellâ cell adhesion with the density of cells. The reason for such reduction and possible implications for the collective dynamics of cancer cells are discussed.
TypeArticle
URIhttp://hdl.handle.net/1822/74291
DOI10.1038/s41598-021-99390-x
e-ISSN2045-2322
Publisher versionhttps://www.nature.com/articles/s41598-021-99390-x
Peer-Reviewedyes
AccessOpen access
Appears in Collections:3B’s - Artigos em revistas/Papers in scientific journals


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