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Updated: May 28, 2025

Cellular Lipid Extraction for Targeted Stable Isotope Dilution Liquid Chromatography-Mass Spectrometry Analysis
Published on: November 17, 2011
Single Cell Untargeted Lipidomics Using Liquid Chromatography Ion Mobility-Mass Spectrometry
Jinyong Kim1, Dong-Gi Mun1, Husheng Ding1
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.
This study introduces a new method for single cell lipidomics, enabling detailed lipid profiling in individual cells. This breakthrough advances single cell multiomics and offers insights into cellular heterogeneity in diseases.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Cell Biology
Background:
- Omics analysis now achieves single cell resolution, with transcriptomics and genomics leading advancements.
- Single cell proteomics has rapidly progressed, but single cell lipidomics methods are scarce, especially non-imaging approaches.
- Single cell lipidomics offers potential for understanding cellular heterogeneity in diseases and enabling multiomics studies.
Purpose of the Study:
- To develop and demonstrate an untargeted single cell lipidomics methodology.
- To enhance lipid coverage and enable lipid profiling at the single cell level.
- To lay the groundwork for integrated single cell multiomics.
Main Methods:
- Development of untargeted single cell lipidomics using nanoflow liquid chromatography-ion mobility spectrometry-mass spectrometry (nLC-IMS-MS).
- Application of both positive and negative ion modes to maximize lipid identification.
- Analysis of human cholangiocarcinoma cells at the single cell level.
Main Results:
- Identification of an average of 161 lipids (phospholipids, sphingolipids, cholesteryl esters, glycerides) in positive ion mode.
- Identification of an average of 20 phospholipid species in negative ion mode.
- Demonstration of a novel method for lipid profiling from single or low cell inputs.
Conclusions:
- A new untargeted single cell lipidomics method has been successfully developed and validated.
- The methodology significantly enhances lipid coverage and enables detailed lipid analysis in single cells.
- This approach is crucial for advancing single cell multiomics and understanding cellular lipid heterogeneity.
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