Large-scale lipid analysis with C=C location and sn-position isomer resolving power.,Nature Communications

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Large-scale lipid analysis with C=C location and sn-position isomer resolving power.
Nature Communications ( IF 14.7 ) Pub Date : 2020-01-17 , DOI: 10.1038/s41467-019-14180-4
Wenbo Cao ₁ , Simin Cheng ₁ , Jing Yang ₁ , Jiaxin Feng ₂ , Wenpeng Zhang _{1,

3} , Zishuai Li ₁ , Qinhua Chen ₄ , Yu Xia ₂ , Zheng Ouyang _{1,

3} , Xiaoxiao Ma ₁

Affiliation

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.

中文翻译：

具有 C=C 位置和 Sn 位异构体分辨率的大规模脂质分析。

脂质在生物过程中发挥着关键作用，通过质谱 (MS) 进行脂质分析显着推进了脂质组学研究。虽然脂质分析的结构特异性对于研究脂质的生物学功能至关重要，但目前大规模脂质分析的主流方法只能识别脂质类别和脂肪酰基链，而无法识别C=C位置和sn位置。在这项研究中，结合光化学和串联质谱，我们开发了一个简单但有效的工作流程，以实现大规模和近乎完整的脂质结构表征，并具有同时识别 C=C 位置和 sn-位置的强大能力。实现了多种特异性水平的脂质结构异构体的定量，并成功区分了人类乳腺癌细胞的不同亚型。值得注意的是，人类肺癌组织只能利用脂质C=C位置和sn位异构体的定量结果来与邻近的正常组织区分开。

更新日期：2020-01-17

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