000118092 001__ 118092 000118092 005__ 20240319081017.0 000118092 0247_ $$2doi$$a10.1016/j.ejcb.2022.151255 000118092 0248_ $$2sideral$$a129423 000118092 037__ $$aART-2022-129423 000118092 041__ $$aeng 000118092 100__ $$0(orcid)0000-0003-3852-0987$$aMerino Casallo, F.$$uUniversidad de Zaragoza 000118092 245__ $$aA mechanistic protrusive-based model for 3D cell migration 000118092 260__ $$c2022 000118092 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118092 5203_ $$aCell 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. 000118092 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T50-20R$$9info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101018587-ICoMICS$$9info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE$$9info:eu-repo/grantAgreement/ES/MICINN/PID2021-124271OB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21$$9info:eu-repo/grantAgreement/ES/MINECO/BES-2016-076291$$9info:eu-repo/grantAgreement/ES/MINECO/RTI2018-096903-B-I00 000118092 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000118092 590__ $$a6.6$$b2022 000118092 592__ $$a1.327$$b2022 000118092 591__ $$aCELL BIOLOGY$$b53 / 191 = 0.277$$c2022$$dQ2$$eT1 000118092 593__ $$aHistology$$c2022$$dQ1 000118092 593__ $$aPathology and Forensic Medicine$$c2022$$dQ1 000118092 593__ $$aMedicine (miscellaneous)$$c2022$$dQ1 000118092 593__ $$aCell Biology$$c2022$$dQ2 000118092 594__ $$a6.4$$b2022 000118092 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118092 700__ $$0(orcid)0000-0002-1878-8997$$aGómez Benito, M. J.$$uUniversidad de Zaragoza 000118092 700__ $$0(orcid)0000-0002-6741-844X$$aMartínez Cantín, R.$$uUniversidad de Zaragoza 000118092 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía Aznar, J. M.$$uUniversidad de Zaragoza 000118092 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000118092 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est. 000118092 773__ $$g101, 3 (2022), 151255[18 pp.]$$pEur. j. cell biol.$$tEuropean Journal of Cell Biology$$x0171-9335 000118092 8564_ $$s11415973$$uhttps://zaguan.unizar.es/record/118092/files/texto_completo.pdf$$yVersión publicada 000118092 8564_ $$s2473330$$uhttps://zaguan.unizar.es/record/118092/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118092 909CO $$ooai:zaguan.unizar.es:118092$$particulos$$pdriver 000118092 951__ $$a2024-03-18-15:44:34 000118092 980__ $$aARTICLE