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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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-99390-x |
| _version_ | 1818425370512195584 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T14:12:52Z |
| format | Article |
| id | doaj.art-ca8a32972c774172a17d633cb9c9ed2d |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T14:12:52Z |
| publishDate | 2021-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ca8a32972c774172a17d633cb9c9ed2d2022-12-21T22:58:17ZengNature PortfolioScientific Reports2045-23222021-10-011111810.1038/s41598-021-99390-xCombining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cellsHygor P. M. Melo0F. Raquel Maia1André S. Nunes2Rui L. Reis3Joaquim M. Oliveira4Nuno A. M. Araújo5Centro de Física Teórica e Computacional, Faculdade de Ciências, Universidade de Lisboa3B’s Research Group, I3Bs - Research Institute On Biomaterials, Biodegradables and Biomimetics of University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da GandraCentro de Física Teórica e Computacional, Faculdade de Ciências, Universidade de Lisboa3B’s Research Group, I3Bs - Research Institute On Biomaterials, Biodegradables and Biomimetics of University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra3B’s Research Group, I3Bs - Research Institute On Biomaterials, Biodegradables and Biomimetics of University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da GandraCentro de Física Teórica e Computacional, Faculdade de Ciências, Universidade de LisboaAbstract 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.https://doi.org/10.1038/s41598-021-99390-x |
| spellingShingle | 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 Scientific Reports |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41598-021-99390-x |
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