ArticleJournal of biomechanical engineering2013
A multiscale approach to modeling the passive mechanical contribution of cells in tissues.
Article in Journal of biomechanical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Recent advances in optical elastography and emerging opportunities in the basic sciences and translational medicine [Invited].Biomedical optics express · 2023Review
- Light-sheet photonic force optical coherence elastography for high-throughput quantitative 3D micromechanical imaging.Nature communications · 2022Article
- Galactose Enhances Chondrogenic Differentiation of ATDC5 and Cartilage Matrix Formation by Chondrocytes.Frontiers in molecular biosciences · 2022Article
- Cell contact guidance via sensing anisotropy of network mechanical resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Long-range mechanical signaling in biological systems.Soft matter · 2021Review
- Glomerular filtration and podocyte tensional homeostasis: importance of the minor type IV collagen network.Biomechanics and modeling in mechanobiology · 2020Article
- Cellular Microbiaxial Stretching to Measure a Single-Cell Strain Energy Density Function.Journal of biomechanical engineering · 2017Article
- Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Annals of biomedical engineering · 2016Article
- Normal and Fibrotic Rat Livers Demonstrate Shear Strain Softening and Compression Stiffening: A Model for Soft Tissue Mechanics.PloS one · 2016Article
- Multiscale Mechanical Model of the Pacinian Corpuscle Shows Depth and Anisotropy Contribute to the Receptor's Characteristic Response to Indentation.PLoS computational biology · 2015Article
- Bio-Chemo-Mechanical Models of Vascular Mechanics.Annals of biomedical engineering · 2015Review
- Engineering myocardial tissue patches with hierarchical structure-function.Annals of biomedical engineering · 2015Review
- Regional variations in growth plate chondrocyte deformation as predicted by three-dimensional multi-scale simulations.PloS one · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In addition to their obvious biological roles in tissue function, cells often play a significant mechanical role through a combination of passive and active behaviors. This study focused on the passive mechanical contribution of cells in tissues by improving our multiscale model via the addition of cells, which were treated as dilute spherical inclusions. The first set of simulations considered a rigid cell, with the surrounding ECM modeled as (1) linear elastic, (2) Neo-Hookean, and (3) a fiber network. Comparison with the classical composite theory for rigid inclusions showed close agreement at low cell volume fraction. The fiber network case exhibited nonlinear stress-strain behavior and Poisson's ratios larger than the elastic limit of 0.5, characteristics similar to those of biological tissues. The second set of simulations used a fiber network for both the cell (simulating cytoskeletal filaments) and matrix, and investigated the effect of varying relative stiffness between the cell and matrix, as well as the effect of a cytoplasmic pressure to enforce incompressibility of the cell. Results showed that the ECM network exerted negligible compression on the cell, even when the stiffness of fibers in the network was increased relative to the cell. Introduction of a cytoplasmic pressure significantly increased the stresses in the cell filament network, and altered how the cell changed its shape under tension. Findings from this study have implications on understanding how cells interact with their surrounding ECM, as well as in the context of mechanosensation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.