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Active viscoelastic models for cell and tissue mechanics.
Tajvidi Safa, Bahareh; Huang, Changjin; Kabla, Alexandre; Yang, Ruiguo.
Affiliation
  • Tajvidi Safa B; Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
  • Huang C; School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.
  • Kabla A; Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.
  • Yang R; Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
R Soc Open Sci ; 11(4): 231074, 2024 Apr.
Article de En | MEDLINE | ID: mdl-38660600
ABSTRACT
Living cells are out of equilibrium active materials. Cell-generated forces are transmitted across the cytoskeleton network and to the extracellular environment. These active force interactions shape cellular mechanical behaviour, trigger mechano-sensing, regulate cell adaptation to the microenvironment and can affect disease outcomes. In recent years, the mechanobiology community has witnessed the emergence of many experimental and theoretical approaches to study cells as mechanically active materials. In this review, we highlight recent advancements in incorporating active characteristics of cellular behaviour at different length scales into classic viscoelastic models by either adding an active tension-generating element or adjusting the resting length of an elastic element in the model. Summarizing the two groups of approaches, we will review the formulation and application of these models to understand cellular adaptation mechanisms in response to various types of mechanical stimuli, such as the effect of extracellular matrix properties and external loadings or deformations.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: R Soc Open Sci Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: R Soc Open Sci Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni