The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Soft Matter Models of Developing Tissues and Tumors
Abstract
Analogies with inert soft condensed matter—such as viscoelastic liquids, pastes, foams, emulsions, colloids, and polymers—can be used to investigate the mechanical response of soft biological tissues to forces. A variety of experimental techniques and biophysical models have exploited these analogies allowing the quantitative characterization of the mechanical properties of model tissues, such as surface tension, elasticity, and viscosity. The framework of soft matter has been successful in explaining a number of dynamical tissue behaviors observed in physiology and development, such as cell sorting, tissue spreading, or the escape of individual cells from a tumor. However, living tissues also exhibit active responses, such as rigidity sensing or cell pulsation, that are absent in inert soft materials. The soft matter models reviewed here have provided valuable insight in understanding morphogenesis and cancer invasion and have set bases for using tissue engineering within medicine.
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Cites
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Cited by
The stiffness of living tissues and its implications for tissue engineering
Guimarães, C. F., Gasperini, L., Marques, A. P., & Reis, R. L. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0169-1 · Cited by 1,515
Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment
Huang, G., Li, F., Zhao, X., Ma, Y., Li, Y., Lin, M., Jin, G., Lu, T. J., Genin, G. M., & Xu, F. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00094 · Cited by 825
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity
Waclaw, B., Bozic, I., Pittman, M. E., Hruban, R. H., Vogelstein, B., & Nowak, M. A. (2015) · Nature · doi:10.1038/nature14971 · Cited by 486
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In vivo quantification of spatially varying mechanical properties in developing tissues
Serwane, F., Mongera, A., Rowghanian, P., Kealhofer, D. A., Lucio, A. A., Hockenbery, Z. M., & Campàs, O. (2017) · Nature Methods · doi:10.1038/nmeth.4101 · Cited by 367
Metadata
- Authors
- Gonzalez-Rodriguez, D., Guevorkian, K., Douezan, S., & Brochard-Wyart, F.
- Venue
- Science
- Published
- 2012-11-16
- Volume
- 338
- Issue
- 6109
- Pages
- 910-917
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2012325092
- Cited by
- 264
- References
- 5
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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