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Cited by 300

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Cell contraction induces long-ranged stress stiffening in the extracellular matrix

Open access
Han, Yu Long, Ronceray, Pierre, Xu, Guoqiang, Malandrino, Andrea, Kamm, Roger D., Lenz, Martin, Broedersz, Chase P., Guo, Ming·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: The behavior of cells is strongly affected by the mechanics of their surroundings. In tissues, cells interact with the extracellular matrix, a 3D network of biopolymers with a highly nonlinear elastic response. We introduce a method exploiting this matrix nonlinearity to infer mechanical stresses in 3D. Using this method, we demonstrate that cell contractility induces large stresses, which generate a massive stiffness gradient over an extended region in 3D matrices of collagen, fibrin, and Matrigel. Our work highlights the importance of nonlinear matrix mechanics at the microscopic scale and suggests a concrete mechanism through which cells can control their microenvironment and mechanically communicate with each other.

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Crossref · 10.1073/pnas.1722619115

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Metadata

Authors
Han, Y. L., Ronceray, P., Xu, G., Malandrino, A., Kamm, R. D., Lenz, M., Broedersz, C. P., & Guo, M.
Venue
Proceedings of the National Academy of Sciences
Published
2018-04-04
Volume
115
Issue
16
Pages
4075-4080
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2750853956
Cited by
300
References
54
FWCI
15.80
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cell contraction induces long-ranged stress stiffening in the extracellular matrix. https://app.cochat.ai/papers/10.1073/pnas.1722619115
The paper
Han, Y. L., Ronceray, P., Xu, G., Malandrino, A., Kamm, R. D., Lenz, M., Broedersz, C. P., & Guo, M. (2018). Cell contraction induces long-ranged stress stiffening in the extracellular matrix. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1722619115

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.