118092 20240319081017.0 doi 10.1016/j.ejcb.2022.151255 sideral 129423 ART-2022-129423 eng Merino Casallo, F. Universidad de Zaragoza (orcid)0000-0003-3852-0987 A mechanistic protrusive-based model for 3D cell migration 2022 Access copy available to the general public Unrestricted Cell migration is essential for a variety of biological processes, such as embryogenesis, wound healing, and the immune response. After more than a century of research—mainly on flat surfaces—, there are still many unknowns about cell motility. In particular, regarding how cells migrate within 3D matrices, which more accurately replicate in vivo conditions. We present a novel in silico model of 3D mesenchymal cell migration regulated by the chemical and mechanical profile of the surrounding environment. This in silico model considers cell’s adhesive and nuclear phenotypes, the effects of the steric hindrance of the matrix, and cells ability to degradate the ECM. These factors are crucial when investigating the increasing difficulty that migrating cells find to squeeze their nuclei through dense matrices, which may act as physical barriers. Our results agree with previous in vitro observations where fibroblasts cultured in collagen-based hydrogels did not durotax toward regions with higher collagen concentrations. Instead, they exhibited an adurotactic behavior, following a more random trajectory. Overall, cell’s migratory response in 3D domains depends on its phenotype, and the properties of the surrounding environment, that is, 3D cell motion is strongly dependent on the context. info:eu-repo/grantAgreement/ES/DGA/T50-20R info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101018587-ICoMICS info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE info:eu-repo/grantAgreement/ES/MICINN/PID2021-124271OB-I00 info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21 info:eu-repo/grantAgreement/ES/MINECO/BES-2016-076291 info:eu-repo/grantAgreement/ES/MINECO/RTI2018-096903-B-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 6.6 2022 CELL BIOLOGY 53 / 191 = 0.277 2022 Q2 T1 1.327 2022 Histology 2022 Q1 Pathology and Forensic Medicine 2022 Q1 Medicine (miscellaneous) 2022 Q1 Cell Biology 2022 Q2 6.4 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gómez Benito, M. J. Universidad de Zaragoza (orcid)0000-0002-1878-8997 Martínez Cantín, R. Universidad de Zaragoza (orcid)0000-0002-6741-844X García Aznar, J. M. Universidad de Zaragoza (orcid)0000-0002-9864-7683 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 101, 3 (2022), 151255[18 pp.] Eur. j. cell biol. European Journal of Cell Biology 0171-9335 11415973 http://zaguan.unizar.es/record/118092/files/texto_completo.pdf Versión publicada 2473330 http://zaguan.unizar.es/record/118092/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:118092 articulos driver 2024-03-18-15:44:34 ARTICLE