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Cited by 229

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Cell mechanosensitivity controls the anisotropy of focal adhesions

Open access
Nicolas, Alice, Geiger, Benjamin, Safran, Samuel A.·2004·Proceedings of the National Academy of Sciences

Abstract

Cellular adhesions are modulated by cytoskeletal forces or external stresses and adapt to the mechanical properties of the extracellular matrix. We propose that this mechanosensitivity can be driven at least in part by the elastic, cell-contractility-induced deformations of protein molecules that form the adhesion. The model accounts for observations of anisotropic growth and shrinkage of focal adhesions in the direction of the force and predicts that focal adhesions only grow within a range of force that is determined by the composition and matrix properties. This prediction is consistent with the observations of a force threshold for the appearance of elongated focal adhesions and the disruption of adhesions into fibrils on a mobile extracellular matrix. The growth dynamics is calculated and the predicted sliding of focal adhesions is consistent with several experiments.

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Crossref · 10.1073/pnas.0403539101

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Metadata

Authors
Nicolas, A., Geiger, B., & Safran, S. A.
Venue
Proceedings of the National Academy of Sciences
Published
2004-08-16
Volume
101
Issue
34
Pages
12520-12525
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2123029770
Cited by
229
References
2
FWCI
4.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cell mechanosensitivity controls the anisotropy of focal adhesions. https://app.cochat.ai/papers/10.1073/pnas.0403539101
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Nicolas, A., Geiger, B., & Safran, S. A. (2004). Cell mechanosensitivity controls the anisotropy of focal adhesions. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0403539101

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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.