Cell biophysical stimuli in lobodopodium formation: a computer based approach

Serrano-Alcalde, F. ; García-Aznar, J.M. (Universidad de Zaragoza) ; Gómez-Benito, M.J. (Universidad de Zaragoza)

Resumen: Different cell migration modes have been identified in 3D environments, e.g., modes incorporating lamellopodia or blebs. Recently, a new type of cellular migration has been investigated: lobopodia-based migration, which appears only in three-dimensional matrices under certain conditions. The cell creates a protrusion through which the nucleus slips, dividing the cell into two parts (front and rear) with different hydrostatic pressures. In this work, we elucidate the mechanical conditions that favour this type of migration. One of the hypotheses about this type of migration is that it depends on the mechanical properties of the extracellular matrix. That is, lobopodia-based migration is dependent on whether the extracellular matrix is linearly elastic or non-linearly elastic. To determine whether the mechanical properties of the extracellular matrix are crucial in the choice of cell migration mode and which mechanotransduction mechanism the cell might use, we develop a finite element model. From our simulations, we identify two different possible mechanotransduction mechanisms that could regulate the cell to switch from a lobopodial to a lamellipodial migration mode. The first relies on a differential pressure increase inside the cytoplasm while the cell contracts, and the second relies on a change in the fluid flow direction in non-linearly elastic extracellular matrices but not in linearly elastic matrices. The biphasic nature of the cell has been determined to mediate this mechanism and the different behaviours of cells in linearly elastic and non-linearly elastic matrices.

Idioma: Inglés

DOI: 10.1080/10255842.2020.1836622

Año: 2021

Publicado en: Computer Methods in Biomechanics and Biomedical Engineering 24, 5 (2021), 496-505
ISSN: 1025-5842

Factor impacto JCR: 1.669 (2021)

Categ. JCR: ENGINEERING, BIOMEDICAL rank: 84 / 98 = 0.857 (2021) - Q4 - T3
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 98 / 112 = 0.875 (2021) - Q4 - T3

Factor impacto CITESCORE: 2.8 - Medicine (Q2) - Engineering (Q2) - Chemical Engineering (Q3) - Computer Science (Q3)

Factor impacto SCIMAGO: 0.439 - Bioengineering (Q3) - Medicine (miscellaneous) (Q3) - Human-Computer Interaction (Q3) - Biomedical Engineering (Q3)

Financiación: info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)