Single-cell lipidomics with high structural specificity by mass spectrometry

Single-cell analysis is critical to revealing cell-to-cell heterogeneity that would otherwise be lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from mature, especially when considering the highly complex structural diversity of lipids and the limited samp...

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Veröffentlicht in:Nature communications 2021-05, Vol.12 (1), p.2869-2869, Article 2869
Hauptverfasser: Li, Zishuai, Cheng, Simin, Lin, Qiaohong, Cao, Wenbo, Yang, Jing, Zhang, Minmin, Shen, Aijun, Zhang, Wenpeng, Xia, Yu, Ma, Xiaoxiao, Ouyang, Zheng
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Sprache:eng
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Zusammenfassung:Single-cell analysis is critical to revealing cell-to-cell heterogeneity that would otherwise be lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from mature, especially when considering the highly complex structural diversity of lipids and the limited sample amounts available from a single cell. We report the development of a general strategy enabling single-cell lipidomic analysis with high structural specificity. Cell fixation is applied to retain lipids in the cell during batch treatments prior to single-cell analysis. In addition to tandem mass spectrometry analysis revealing the class and fatty acyl-chain for lipids, batch photochemical derivatization and single-cell droplet treatment are performed to identify the C=C locations and sn -positions of lipids, respectively. Electro-migration combined with droplet-assisted electrospray ionization enables single-cell mass spectrometry analysis with easy operation but high efficiency in sample usage. Four subtypes of human breast cancer cells are correctly classified through quantitative analysis of lipid C=C location or sn -position isomers in ~160 cells. Most importantly, the single-cell deep lipidomics strategy successfully discriminates gefitinib-resistant cells from a population of wild-type human lung cancer cells (HCC827), highlighting its unique capability to promote precision medicine. Analyzing the lipidomes of single cells remains a challenge. Here, the authors present a strategy to identify class, fatty acyl-chain, C=C locations and sn -positions of lipids in single cells, and use their method to identify individual gefitinib-resistant cells in a wild-type lung cancer cell population.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-021-23161-5