ArticleJournal of lipid research2023
FACS-assisted single-cell lipidome analysis of phosphatidylcholines and sphingomyelins in cells of different lineages.
Article in Journal of lipid research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- A Comprehensive Characterization of the Phospholipid and Cholesterol Composition of the Uncinate Fasciculus in the Human Brain: Evidence of Age-Related Alterations.Journal of neurochemistry · 2026Article
- Potential Causal Association Between Plasma Lipidomes and Keloid: Analysis from a Two-Sample Mendelian Randomization.Clinical, cosmetic and investigational dermatology · 2026Article
- Single-cell lipidomics: performance evaluation across four liquid chromatography mass spectrometry (LC-MS) systems.The Analyst · 2025Article
- Single-cell lipidomics: protocol development for reliable cellular profiling using capillary sampling.The Analyst · 2025Article
- Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease.BBA advances · 2025Review
- Single-Cell Untargeted Lipidomics Using Liquid Chromatography and Data-Dependent Acquisition after Live Cell Selection.Analytical chemistry · 2024Article
- Development of a highly efficient solubilization method for mass spectrometric analysis of phospholipids in living single cells.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Article
- From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome.Analytical and bioanalytical chemistry · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in single-cell genomics and transcriptomics technologies have transformed our understanding of cellular heterogeneity in growth, development, ageing, and disease; however, methods for single-cell lipidomics have comparatively lagged behind in development. We have developed a method for the detection and quantification of a wide range of phosphatidylcholine and sphingomyelin species from single cells that combines fluorescence-assisted cell sorting with automated chip-based nanoESI and shotgun lipidomics. We show herein that our method is capable of quantifying more than 50 different phosphatidylcholine and sphingomyelin species from single cells and can easily distinguish between cells of different lineages or cells treated with exogenous fatty acids. Moreover, our method can detect more subtle differences in the lipidome between cell lines of the same cancer type. Our approach can be run in parallel with other single-cell technologies to deliver near-complete, high-throughput multi-omics data on cells with a similar phenotype and has the capacity to significantly advance our current knowledge on cellular heterogeneity.
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Registered trials
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