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Cited by 293

The DOI matches its Crossref record; 152 of the 152 references it cites were found in a registry or an index.

Caveolae: Structure, Function, and Relationship to Disease

Open access
Parton, Robert G.·2018·Annual Review of Cell and Developmental Biology

Abstract

The plasma membrane of eukaryotic cells is not a simple sheet of lipids and proteins but is differentiated into subdomains with crucial functions. Caveolae, small pits in the plasma membrane, are the most abundant surface subdomains of many mammalian cells. The cellular functions of caveolae have long remained obscure, but a new molecular understanding of caveola formation has led to insights into their workings. Caveolae are formed by the coordinated action of a number of lipid-interacting proteins to produce a microdomain with a specific structure and lipid composition. Caveolae can bud from the plasma membrane to form an endocytic vesicle or can flatten into the membrane to help cells withstand mechanical stress. The role of caveolae as mechanoprotective and signal transduction elements is reviewed in the context of disease conditions associated with caveola dysfunction.

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Crossref · 10.1146/annurev-cellbio-100617-062737

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Metadata

Authors
Parton, R. G.
Venue
Annual Review of Cell and Developmental Biology
Published
2018-10-06
Volume
34
Issue
1
Pages
111-136
ISSN
  • 1081-0706 (ISSN-L)
  • 1530-8995
OpenAlex
W2897375104
Cited by
293
References
152
FWCI
2.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Caveolae: Structure, Function, and Relationship to Disease. https://app.cochat.ai/papers/10.1146/annurev-cellbio-100617-062737
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Parton, R. G. (2018). Caveolae: Structure, Function, and Relationship to Disease. Annual Review of Cell and Developmental Biology. https://doi.org/10.1146/annurev-cellbio-100617-062737

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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.