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Cited by 339

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

A simplified method for the preparation of detergent-free lipid rafts

Open access
Macdonald, Jennifer L., Pike, Linda J.·2005·Journal of Lipid Research

Abstract

Lipid rafts are small plasma membrane domains that contain high levels of cholesterol and sphingolipids. Traditional methods for the biochemical isolation of lipid rafts involve the extraction of cells with nonionic detergents followed by the separation of a low-density, detergent-resistant membrane fraction on density gradients. Because of concerns regarding the possible introduction of artifacts through the use of detergents, it is important to develop procedures for the isolation of lipid rafts that do not involve detergent extraction. We report here a simplified method for the purification of detergent-free lipid rafts that requires only one short density gradient centrifugation, but yields a membrane fraction that is highly enriched in cholesterol and protein markers of lipid rafts, with no contamination from nonraft plasma membrane or intracellular membranes.

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Crossref · 10.1194/jlr.d400041-jlr200

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Metadata

Authors
Macdonald, J. L., & Pike, L. J.
Venue
Journal of Lipid Research
Publisher
Elsevier BV
Published
2005-05
Volume
46
Issue
5
Pages
1061-1067
ISSN
0022-2275 (ISSN-L)
OpenAlex
W2157483796
Cited by
339
References
45
FWCI
8.99
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A simplified method for the preparation of detergent-free lipid rafts. https://app.cochat.ai/papers/10.1194/jlr.d400041-jlr200
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Macdonald, J. L., & Pike, L. J. (2005). A simplified method for the preparation of detergent-free lipid rafts. Journal of Lipid Research. https://doi.org/10.1194/jlr.d400041-jlr200

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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.