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

Wenbo Cao, Simin Cheng, Jing Yang, Jiaxin Feng, Wenpeng Zhang, Zishuai Li, Qinhua Chen, Yu Xia, Zheng Ouyang () and Xiaoxiao Ma ()
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Wenbo Cao: Tsinghua University
Simin Cheng: Tsinghua University
Jing Yang: Tsinghua University
Jiaxin Feng: Tsinghua University
Wenpeng Zhang: Tsinghua University
Zishuai Li: Tsinghua University
Qinhua Chen: Hubei University of Medicine
Yu Xia: Tsinghua University
Zheng Ouyang: Tsinghua University
Xiaoxiao Ma: Tsinghua University

Nature Communications, 2020, vol. 11, issue 1, 1-11

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14180-4

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DOI: 10.1038/s41467-019-14180-4

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