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Single-cell structural lipidomics using a miniature dual-LIT mass spectrometer.

Zhijun Cai1, Ningxi Li1, Simin Cheng1

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University Beijing 100084 China ouyang@mail.tsinghua.edu.cn maxx@mail.tsinghua.edu.cn.

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|January 7, 2026
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Summary
This summary is machine-generated.

This study presents a new method for structural lipidomics on single cells, identifying over 100 lipid species. This advance enables detailed lipidome analysis and links lipid variations to cancer cell responses.

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology

Background:

  • Structural lipidomics offers detailed lipidome information crucial for cell phenotyping and pathway studies.
  • Applying structural lipidomics to single-cell analysis is challenging due to limited sample amounts and the complexity of tandem mass spectrometry.
  • Existing methods struggle to provide high structural specificity for lipids in single-cell analyses.

Purpose of the Study:

  • To develop an effective strategy for high-throughput structural lipidomics in single cells.
  • To achieve annotation of over 100 lipid species with high structural specificity from a single cell.
  • To investigate lipidome variations and their correlation with cancer cell responses, specifically ferroptosis.

Main Methods:

  • Utilized a miniature dual-linear ion trap (LIT) mass spectrometer with enhanced ion processing.
  • Employed multi-stage MS^n (n=2-4) analysis for each lipid species to improve ion utilization efficiency and acquire detailed structural information.
  • Analyzed lipid species including phosphatidylcholamines (PCs) and phosphatidylethanolamines (PEs) from single cancer cells (MDA-MB-468 and K562).

Main Results:

  • Successfully annotated over 100 lipid species in a single cell with high structural specificity.
  • Identified lipids at various structural levels: acyl-chain composition (64), sn-position (23), C=C location (30), and C=C/sn-position (20).
  • Observed significant variations in sn-position and C=C location isomers in doxorubicin-resistant vs. sensitive K562 cells, linking lipidome changes to ferroptosis response.

Conclusions:

  • The developed strategy enables comprehensive structural lipidomics at the single-cell level, overcoming previous limitations.
  • Detailed structural lipidomic information, including isomers, provides insights into cellular lipid heterogeneity and function.
  • Variations in structural lipids correlate with cancer cell response to ferroptosis, opening avenues for targeted therapeutic strategies.