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Molecular complexity and dynamics of cell-matrix adhesions

Zamir, Eli, Geiger, Benjamin·2001·Journal of Cell Science

Abstract

Currently >50 proteins have been reported to be associated with focal contacts and related ECM adhesions. Most of these contain multiple domains through which they can interact with different molecular partners, potentially forming a dense and heterogeneous protein network at the cytoplasmic faces of the adhesion site. The molecular and structural diversity of this ‘submembrane plaque’ is regulated by a wide variety of mechanisms, including competition between different partner proteins for the same binding sites, interactions triggered or suppressed by tyrosine phosphorylation, and conformational changes in component proteins, which can affect their reactivity. Indeed, integrin-mediated adhesions can undergo dynamic changes in structure and molecular properties from dot-like focal complexes to stress-fiber-associated focal contacts, which can further ‘mature’ to form fibronectin-bound fibrillar adhesions. These changes are driven by mechanical force generated by the actin- and myosin-containing contractile machinery of the cells, or by external forces applied to the cells, and regulated by matrix rigidity.

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Metadata

Authors
Zamir, E., & Geiger, B.
Venue
Journal of Cell Science
Published
2001-10-15
Volume
114
Issue
20
Pages
3583-3590
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W2152002380
Cited by
1,108
References
0
FWCI
17.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular complexity and dynamics of cell-matrix adhesions. https://app.cochat.ai/papers/10.1242/jcs.114.20.3583
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Zamir, E., & Geiger, B. (2001). Molecular complexity and dynamics of cell-matrix adhesions. Journal of Cell Science. https://doi.org/10.1242/jcs.114.20.3583

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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.