ArticleNature chemistry2025
Quantitative profiling of lipid transport between organelles enabled by subcellular photocatalytic labelling.
Article in Nature chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Subcellular photochemistry for precision spatial protein targeting.Nature reviews. Chemistry · 2026Review
- AbioRxiv : the preprint server for biology · 2026Article
- Chemical biology approaches for revealing interorganelle lipid transport pathways.Current opinion in cell biology · 2026Review
- Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap.Nature chemical biology · 2026Article
- Proximity labeling in neuroscience: decoding molecular landscapes for precision neurology.Translational neurodegeneration · 2026Review
- Metabolic reprogramming by pseudorabies virus: nucleotide metabolism as a central vulnerability for viral replication and pathogenesis.Frontiers in microbiology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
Subcellular lipid composition and transport substantially influence the physiological and pathological functions of both cells and organelles. However, lipid transport and turnover between organelles remain poorly understood due to a lack of methods for selectively labelling lipids in organelles. Here we develop a subcellular photocatalytic labelling strategy that enables organelle-selective lipid analysis by mass spectrometry and the quantitative profiling of lipid transport between organelles. We use this approach to quantitatively characterize fatty-acyl-dependent transport of phosphatidylethanolamine and phosphatidylserine lipids between the endoplasmic reticulum and mitochondria, the nucleus or lysosomes. Further experiments revealed the relative contributions of various biosynthesis pathways to the phosphatidylethanolamine and phosphatidylserine lipid compositions in the mitochondria, nucleus and lysosomes. Lysosome-specific photocatalytic labelling revealed the impact of the mTOR kinase pathway on lysosomal lipid metabolism. Together, this subcellularly localized photocatalytic labelling of lipids quantitatively deciphers the subcellular lipid composition and transport, enhancing our understanding of lipid metabolism in living organisms.
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