Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Applied Sciences  /  Vol: 14 Par: 6 (2024)  /  Artículo
ARTÍCULO
TITULO

Finite Element Modeling of Cells Adhering to a Substrate: An Overview

Lorenzo Santoro    
Lorenzo Vaiani    
Antonio Boccaccio    
Luciano Lamberti    
Lorenzo Lo Muzio    
Andrea Ballini and Stefania Cantore    

Resumen

In tissue formation and regeneration processes, cells often move collectively, maintaining connections through intercellular adhesions. However, the specific roles of cell?substrate and cell-to-cell mechanical interactions in the regulation of collective cell migration are not yet fully understood. Finite element modeling (FEM) may be a way to assess more deeply the biological, mechanical, and chemical phenomena behind cell adhesion. FEM is a powerful tool widely used to simulate phenomena described by systems of partial differential equations. For example, FEM provides information on the stress/strain state of a cell adhering to a substrate, as well as on its mechanobiological behavior. This review paper, after briefly describing basic principles of cell adhesion, surveys the most important studies that have utilized FEM to investigate the structural response of a cell adhering to a substrate and how the forces acting on the cell?substrate adhesive structures affect the global cell mechanical behavior.

 Artículos similares

       
 
Cesare Patuelli, Enrico Cestino and Giacomo Frulla    
Vibration analysis of wing-box structures is a crucial aspect of the aeronautic design to avoid aeroelastic effects during normal flight operations. The deformation of a wing structure can induce nonlinear couplings, causing a different dynamic behavior ... ver más
Revista: Aerospace

 
Zhuopu Wang, Kairui Yu and Yuanzhe Liu    
The unsteady combustion of solid propellants under oscillating environments is the key to understanding the combustion instability inside solid rocket motors. The discontinuous Galerkin?finite element method (DG-FEM) is introduced to provide an efficient... ver más
Revista: Aerospace

 
Litan Pan, Bo Wu, Daquan Wang, Xiongxiong Zhou, Lijie Wang and Yi Zhang    
In the numerical simulation of earth-rock dam, accurate and reliable mechanical parameters of the dam material are the important basis for dam deformation predictions and dam safety evaluations. Based on the deformation monitoring data of Luding core wal... ver más
Revista: Water

 
Weihan Huang, Ke Gao and Yu Feng    
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic... ver más

 
Mark A. Denisenko, Alina S. Isaeva, Alexander S. Sinyukin and Andrey V. Kovalev    
The fast, convenient, and accurate determination of railroad cars? load mass is critical to ensure safety and allow asset counting in railway infrastructure. In this paper, we propose a method for modeling the mechanical deformations that occur in the ra... ver más
Revista: Infrastructures