A mechanistic protrusive-based model for 3D cell migration

Merino Casallo, F. (Universidad de Zaragoza) ; Gómez Benito, M. J. (Universidad de Zaragoza) ; Martínez Cantín, R. (Universidad de Zaragoza) ; García Aznar, J. M. (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.ejcb.2022.151255

Año: 2022

Publicado en: European Journal of Cell Biology 101, 3 (2022), 151255[18 pp.]
ISSN: 0171-9335

Factor impacto JCR: 6.6 (2022)

Categ. JCR: CELL BIOLOGY rank: 53 / 191 = 0.277 (2022) - Q2 - T1

Factor impacto CITESCORE: 6.4 - Medicine (Q1) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 1.327 - Histology (Q1) - Pathology and Forensic Medicine (Q1) - Medicine (miscellaneous) (Q1) - Cell Biology (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T50-20R
Financiación: info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS
Financiación: 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
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2021-124271OB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2016-076291
Financiación: info:eu-repo/grantAgreement/ES/MINECO/RTI2018-096903-B-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)