@article {20577,
	title = {Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells},
	journal = {Scientific Reports},
	volume = {11},
	year = {2021},
	month = {2021-10-06 00:00:00},
	pages = {19894},
	publisher = {Nature},
	abstract = {<p><span>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{\textendash}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{\textendash}cell adhesion with the density of cells. The reason for such reduction and possible implications for the collective dynamics of cancer cells are discussed.</span></p>},
	keywords = {cell adhesion, cell collective dynamics, cell proliferation, In silico modeling},
	issn = {2045-2322},
	doi = {10.1038/s41598-021-99390-x},
	url = {https://doi.org/10.1038/s41598-021-99390-x},
	author = {Melo, H. P. M. and Maia, F. R. and Nunes, A. S. and Reis, R. L. and Oliveira, J. M. and Ara{\'u}jo, N. A. M.}
}
