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Cited by 473

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

The ins and outs of fibronectin matrix assembly

Wierzbicka-Patynowski, Iwona, Schwarzbauer, Jean E.·2003·Journal of Cell Science

Abstract

Cell phenotype is specified by environmental cues embedded in the architecture and composition of the extracellular matrix (ECM). Much has been learned about matrix organization and assembly through analyses of the ECM protein fibronectin (FN). FN matrix assembly is a cell-mediated process in which soluble dimeric FN is converted into a fibrillar network. Binding of cell surface integrin receptors to FN converts it to an active form, which promotes fibril formation through interactions with other cell-associated FN dimers. As FN fibrils form on the outside of the cell, cytoplasmic domains of integrin receptors organize cytoplasmic proteins into functional complexes inside. Intracellular connections to the actin cytoskeletal network and stimulation of certain key intracellular signaling pathways are essential for FN–integrin interactions and propagation of FN fibril formation. Thus,assembly of native functional ECM depends on exquisite coordination between extracellular events and intracellular pathways.

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Crossref · 10.1242/jcs.00670

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Metadata

Authors
Wierzbicka-Patynowski, I., & Schwarzbauer, J. E.
Venue
Journal of Cell Science
Published
2003-08-15
Volume
116
Issue
16
Pages
3269-3276
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W1967922151
Cited by
473
References
88
FWCI
13.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The ins and outs of fibronectin matrix assembly. https://app.cochat.ai/papers/10.1242/jcs.00670
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Wierzbicka-Patynowski, I., & Schwarzbauer, J. E. (2003). The ins and outs of fibronectin matrix assembly. Journal of Cell Science. https://doi.org/10.1242/jcs.00670

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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.