ArticleNature cell biology2026
Visualizing suborganellar lipid distribution using correlative light and electron microscopy.
Article in Nature cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Quantification of lipid sorting during clathrin-mediated endocytosis.Nature cell biology · 2026Article
- Bifunctional Monosaccharides Preferentially Localize to Nuclear Subcompartments.Chembiochem : a European journal of chemical biology · 2026Article
- Bifunctional Lipid-Protein Cross-linking Efficiency and Reaction Products.Journal of the American Chemical Society · 2026Article
- Seeing lipids where they live.Nature cell biology · 2026Article
- Systematic membrane thickness variation across cellular organelles revealed by cryo-ET.The Journal of cell biology · 2026Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Lipids and proteins compartmentalize biological membranes into nanoscale domains, which are crucial for signalling, intracellular trafficking and many other cellular processes. Studying nanodomain function requires the ability to measure protein and lipid localization at the nanoscale. Current methods for visualizing lipid localization do not meet this requirement. Here we introduce a correlative light and electron microscopy workflow to image lipids (Lipid-CLEM), combining near-native lipid probes and on-section labelling by click chemistry. This approach enables the quantification of relative lipid densities in membrane nanodomains. We find differential partitioning of sphingomyelin into intraluminal vesicles, recycling tubules and the boundary membrane of the early endosome, representing a degree of nanoscale organization previously observed only for proteins. We anticipate that our Lipid-CLEM workflow will greatly facilitate the mechanistic analysis of lipid functions in cell biology, allowing for the simultaneous investigation of proteins and lipids during membrane nanodomain assembly and function.
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Registered trials
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