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Cited by 852

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

Adhesion signaling – crosstalk between integrins, Src and Rho

Open access
Huveneers, Stephan, Danen, Erik H. J.·2009·Journal of Cell Science

Abstract

Interactions between cells and the extracellular matrix coordinate signaling pathways that control various aspects of cellular behavior. Integrins sense the physical properties of the extracellular matrix and organize the cytoskeleton accordingly. In turn, this modulates signaling pathways that are triggered by various other transmembrane receptors and augments the cellular response to growth factors. Over the past years, it has become clear that there is extensive crosstalk between integrins, Src-family kinases and Rho-family GTPases at the heart of such adhesion signaling. In this Commentary, we discuss recent advances in our understanding of the dynamic regulation of the molecular connections between these three protein families. We also discuss how this signaling network can regulate a range of cellular processes that are important for normal tissue function and disease, including cell adhesion, spreading, migration and mechanotransduction.

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Crossref · 10.1242/jcs.039446

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Metadata

Authors
Huveneers, S., & Danen, E. H. J.
Venue
Journal of Cell Science
Published
2009-04-15
Volume
122
Issue
8
Pages
1059-1069
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W2079548558
Cited by
852
References
112
FWCI
38.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Adhesion signaling – crosstalk between integrins, Src and Rho. https://app.cochat.ai/papers/10.1242/jcs.039446
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Huveneers, S., & Danen, E. H. J. (2009). Adhesion signaling – crosstalk between integrins, Src and Rho. Journal of Cell Science. https://doi.org/10.1242/jcs.039446

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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.