ArticleJournal of biomechanical engineering2016
Fiber Network Models Predict Enhanced Cell Mechanosensing on Fibrous Gels.
Article in Journal of biomechanical engineering, 2016. 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.
- Influence of substrate thickness on cell-perceived stiffness: a computational study.Biomechanics and modeling in mechanobiology · 2026Article
- Virtual testing methodology to predict the mechanical behavior of collagen hydrogels from nanoarchitecture.Materials today. Bio · 2025Article
- Nanocolloidal hydrogel mimics the structure and nonlinear mechanical properties of biological fibrous networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The non-affine fiber network solver: A multiscale fiber network material model for finite-element analysis.Journal of the mechanical behavior of biomedical materials · 2023Article
- On modeling the multiscale mechanobiology of soft tissues: Challenges and progress.Biophysics reviews · 2022Review
- Multiscale mechanobiology: Coupling models of adhesion kinetics and nonlinear tissue mechanics.Biophysical journal · 2022Article
- Long-range mechanical signaling in biological systems.Soft matter · 2021Review
- Elastic Anisotropy Governs the Range of Cell-Induced Displacements.Biophysical journal · 2020Article
- Force chains in cell-cell mechanical communication.Journal of the Royal Society, Interface · 2019Article
- Emergent structure-dependent relaxation spectra in viscoelastic fiber networks in extension.Acta biomaterialia · 2019Article
- Multiscale model of fatigue of collagen gels.Biomechanics and modeling in mechanobiology · 2019Article
- Collective Cell Behavior in Mechanosensing of Substrate Thickness.Biophysical journal · 2018Article
- Mouse Keratinocytes Without Keratin Intermediate Filaments Demonstrate Substrate Stiffness Dependent Behaviors.Cellular and molecular bioengineering · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
The propagation of mechanical signals through nonlinear fibrous tissues is much more extensive than through continuous synthetic hydrogels. Results from recent studies indicate that increased mechanical propagation arises from the fibrous nature of the material rather than the strain-stiffening property. The relative importance of different parameters of the fibrous network structure to this propagation, however, remains unclear. In this work, we directly compared the mechanical response of substrates of varying thickness subjected to a constant cell traction force using either a nonfibrous strain-stiffening continuum-based model or a volume-averaged fiber network model consisting of two different types of fiber network structures: one with low fiber connectivity (growth networks) and one with high fiber connectivity (Delaunay networks). The growth network fiber models predicted a greater propagation of substrate displacements through the model and a greater sensitivity to gel thickness compared to the more connected Delaunay networks and the nonlinear continuum model. Detailed analysis of the results indicates that rotational freedom of the fibers in a network with low fiber connectivity is critically important for enhanced, long-range mechanosensing. Our findings demonstrate the utility of multiscale models in predicting cells mechanosensing on fibrous gels, and they provide a more complete understanding of how cell traction forces propagate through fibrous tissues, which has implications for the design of engineered tissues and the stem cell niche.
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