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Cited by 216

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A current view of perlecan in physiology and pathology: A mosaic of functions

Open access
Gubbiotti, Maria A., Neill, Thomas, Iozzo, Renato V.·2017·Matrix Biology

Abstract

Perlecan, a large basement membrane heparan sulfate proteoglycan, is expressed in a wide array of tissues where it regulates diverse cellular processes including bone formation, inflammation, cardiac development, and angiogenesis. Here we provide a contemporary review germane to the biology of perlecan encompassing its genetic regulation as well as an analysis of its modular protein structure as it pertains to function. As perlecan signaling from the extracellular matrix converges on master regulators of autophagy, including AMPK and mTOR, via a specific interaction with vascular endothelial growth factor receptor 2, we specifically focus on the mechanism of action of perlecan in autophagy and angiogenesis and contrast the role of endorepellin, the C-terminal fragment of perlecan, in these cellular and morphogenic events.

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Crossref · 10.1016/j.matbio.2016.09.003

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Metadata

Authors
Gubbiotti, M. A., Neill, T., & Iozzo, R. V.
Venue
Matrix Biology
Publisher
Elsevier BV
Published
2017-01
Volume
57-58
Pages
285-298
ISSN
0945-053X (ISSN-L)
OpenAlex
W2511273639
Cited by
216
References
6
FWCI
13.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A current view of perlecan in physiology and pathology: A mosaic of functions. https://app.cochat.ai/papers/10.1016/j.matbio.2016.09.003
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Gubbiotti, M. A., Neill, T., & Iozzo, R. V. (2017). A current view of perlecan in physiology and pathology: A mosaic of functions. Matrix Biology. https://doi.org/10.1016/j.matbio.2016.09.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.