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Large-scale lipid analysis with C=C location and sn-position isomer resolving power

Author

Listed:
  • Wenbo Cao

    (Tsinghua University)

  • Simin Cheng

    (Tsinghua University)

  • Jing Yang

    (Tsinghua University)

  • Jiaxin Feng

    (Tsinghua University)

  • Wenpeng Zhang

    (Tsinghua University
    Purdue University)

  • Zishuai Li

    (Tsinghua University)

  • Qinhua Chen

    (Hubei University of Medicine)

  • Yu Xia

    (Tsinghua University)

  • Zheng Ouyang

    (Tsinghua University
    Purdue University)

  • Xiaoxiao Ma

    (Tsinghua University)

Abstract

Lipids play a pivotal role in biological processes and lipid analysis by mass spectrometry (MS) has significantly advanced lipidomic studies. While the structure specificity of lipid analysis proves to be critical for studying the biological functions of lipids, current mainstream methods for large-scale lipid analysis can only identify the lipid classes and fatty acyl chains, leaving the C=C location and sn-position unidentified. In this study, combining photochemistry and tandem MS we develop a simple but effective workflow to enable large-scale and near-complete lipid structure characterization with a powerful capability of identifying C=C location(s) and sn-position(s) simultaneously. Quantitation of lipid structure isomers at multiple levels of specificity is achieved and different subtypes of human breast cancer cells are successfully discriminated. Remarkably, human lung cancer tissues can only be distinguished from adjacent normal tissues using quantitative results of both lipid C=C location and sn-position isomers.

Suggested Citation

  • Wenbo Cao & Simin Cheng & Jing Yang & Jiaxin Feng & Wenpeng Zhang & Zishuai Li & Qinhua Chen & Yu Xia & Zheng Ouyang & Xiaoxiao Ma, 2020. "Large-scale lipid analysis with C=C location and sn-position isomer resolving power," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14180-4
    DOI: 10.1038/s41467-019-14180-4
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    Cited by:

    1. Guifang Feng & Ming Gao & Liwei Wang & Jiayi Chen & Menglu Hou & Qiongqiong Wan & Yun Lin & Guoyong Xu & Xiaotian Qi & Suming Chen, 2022. "Dual-resolving of positional and geometric isomers of C=C bonds via bifunctional photocycloaddition-photoisomerization reaction system," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Xiaoyu Zhou & Zhuofan Wang & Jingjin Fan & Zheng Ouyang, 2023. "High-resolution separation of bioisomers using ion cloud profiling," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    3. Shuling Xu & Zhijun Zhu & Daniel G. Delafield & Michael J. Rigby & Gaoyuan Lu & Megan Braun & Luigi Puglielli & Lingjun Li, 2024. "Spatially and temporally probing distinctive glycerophospholipid alterations in Alzheimer’s disease mouse brain via high-resolution ion mobility-enabled sn-position resolved lipidomics," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    4. Tian Xia & Feng Zhou & Donghui Zhang & Xue Jin & Hengxue Shi & Hang Yin & Yanqing Gong & Yu Xia, 2023. "Deep-profiling of phospholipidome via rapid orthogonal separations and isomer-resolved mass spectrometry," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Jan Philipp Menzel & Reuben S. E. Young & Aurélie H. Benfield & Julia S. Scott & Puttandon Wongsomboon & Lukáš Cudlman & Josef Cvačka & Lisa M. Butler & Sónia T. Henriques & Berwyck L. J. Poad & Steph, 2023. "Ozone-enabled fatty acid discovery reveals unexpected diversity in the human lipidome," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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