Phase separation in model lipid membranes investigated with cryogenic electron microscopy.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2024
Historique:
medline: 7 7 2024
pubmed: 7 7 2024
entrez: 6 7 2024
Statut: ppublish

Résumé

We describe a method for investigating lateral membrane heterogeneity using cryogenic electron microscopy (cryo-EM) images of liposomes. The method takes advantage of differences in the thickness and molecular density of ordered and disordered phases that are resolvable in phase contrast cryo-EM. Compared to biophysical techniques like FRET or neutron scattering that yield ensemble-averaged information, cryo-EM provides direct visualization of individual vesicles and can therefore reveal variability that would otherwise be obscured by averaging. Moreover, because the contrast mechanism involves inherent properties of the lipid phases themselves, no extrinsic probes are required. We explain and discuss various complementary analyses of spatially resolved thickness and intensity measurements that enable an assessment of the membrane's phase state. The method opens a window to nanodomain structure in synthetic and biological membranes that should lead to an improved understanding of lipid raft phenomena.

Identifiants

pubmed: 38971600
pii: S0076-6879(24)00069-7
doi: 10.1016/bs.mie.2024.03.003
pii:
doi:

Substances chimiques

Liposomes 0
Lipid Bilayers 0
Membrane Lipids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

189-216

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Frederick A Heberle (FA)

Department of Chemistry, University of Tennessee, Knoxville, TN, United States. Electronic address: fheberle@utk.edu.

M Neal Waxham (MN)

Department of Neurobiology and Anatomy, University of Texas Health Science Center, Houston, TX, United States. Electronic address: m.n.waxham@uth.tmc.edu.

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Classifications MeSH