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Related Experiment Video

Updated: Nov 5, 2025

Shotgun Lipidomics of Rodent Tissues
11:46

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

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Single-cell lipidomics with high structural specificity by mass spectrometry.

Zishuai Li1, Simin Cheng1, Qiaohong Lin2

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.

Nature Communications
|May 18, 2021
PubMed
Summary

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This study introduces a novel single-cell deep lipidomics strategy for detailed lipid analysis. It enables precise characterization of lipid structures, aiding in cancer cell classification and precision medicine applications.

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Cell Biology

Background:

  • Single-cell analysis is crucial for understanding cellular heterogeneity.
  • Comprehensive single-cell lipidomics is challenging due to lipid complexity and limited sample size.
  • Existing methods lack the structural specificity required for detailed lipid characterization.

Purpose of the Study:

  • To develop a general strategy for single-cell lipidomic analysis with high structural specificity.
  • To enable detailed characterization of lipid structures, including double bond and sn-position isomers.
  • To apply this method for cell classification and identification of drug-resistant cancer cells.

Main Methods:

  • Cell fixation to preserve lipids during analysis.
  • Tandem mass spectrometry for lipid class and fatty acyl-chain identification.

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  • Batch photochemical derivatization for C=C location identification.
  • Single-cell droplet treatment for sn-position identification.
  • Electro-migration coupled with droplet-assisted electrospray ionization for mass spectrometry.

    • Main Results:

    • Successful development of a general strategy for single-cell lipidomic analysis.
    • High structural specificity achieved, identifying lipid isomers.
    • Accurate classification of four human breast cancer cell subtypes based on lipid profiles.
    • Discrimination of gefitinib-resistant lung cancer cells from wild-type cells.

    Conclusions:

    • The developed single-cell deep lipidomics strategy provides unprecedented detail in lipid characterization.
    • This method enables accurate cell classification and has potential applications in precision medicine.
    • The strategy overcomes limitations in analyzing complex lipid structures from single cells.