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Cited by 540

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The molecular face of lipid rafts in model membranes

Open access
Risselada, H. Jelger, Marrink, Siewert J.·2008·Proceedings of the National Academy of Sciences

Abstract

Cell membranes contain a large number of different lipid species. Such a multicomponent mixture exhibits a complex phase behavior with regions of structural and compositional heterogeneity. Especially domains formed in ternary mixtures, composed of saturated and unsaturated lipids together with cholesterol, have received a lot of attention as they may resemble raft formation in real cells. Here we apply a simulation model to assess the molecular nature of these domains at the nanoscale, information that has thus far eluded experimental determination. We are able to show the spontaneous separation of a saturated phosphatidylcholine (PC)/unsaturated PC/cholesterol mixture into a liquid-ordered and a liquid-disordered phase with structural and dynamic properties closely matching experimental data. The near-atomic resolution of the simulations reveals remarkable features of both domains and the boundary domain interface. Furthermore, we predict the existence of a small surface tension between the monolayer leaflets that drives registration of the domains. At the level of molecular detail, raft-like lipid mixtures show a surprising face with possible implications for many cell membrane processes.

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Metadata

Authors
Risselada, H. J., & Marrink, S. J.
Venue
Proceedings of the National Academy of Sciences
Published
2008-11-11
Volume
105
Issue
45
Pages
17367-17372
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2170193142
Cited by
540
References
2
FWCI
12.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The molecular face of lipid rafts in model membranes. https://app.cochat.ai/papers/10.1073/pnas.0807527105
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Risselada, H. J., & Marrink, S. J. (2008). The molecular face of lipid rafts in model membranes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0807527105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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