Spatial single-cell omics provides a readout of biochemical processes. It is challenging to capture the transient lipidome/metabolome from cells in a native tissue environment. We employed water gas cluster ion beam secondary ion mass spectrometry imaging ([H(2)O](n>2)(8K)-GCIB-SIMS) at â¤3 μm resolution using a cryogenic imaging workflow. This allowed multiple biomolecular imaging modes on the near-native-state liver at single-cell resolution. Our workflow utilizes desorption electrospray ionization (DESI) to build a reference map of metabolic heterogeneity and zonation across liver functional units at tissue level. Cryogenic dual-SIMS integrated metabolomics, lipidomics, and proteomics in the same liver lobules at single-cell level, characterizing the cellular landscape and metabolic states in different cell types. Lipids and metabolites classified liver metabolic zones, cell types and subtypes, highlighting the power of spatial multi-omics at high spatial resolution for understanding celluar and biomolecular organizations in the mammalian liver.
Multimodal mass spectrometry imaging identifies cell-type-specific metabolic and lipidomic variation in the mammalian liver.
多模态质谱成像技术可识别哺乳动物肝脏中细胞类型特异性的代谢和脂质组学变化
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作者:Tian Hua, Rajbhandari Presha, Tarolli Jay, Decker Aubrianna M, Neelakantan Taruna V, Angerer Tina, Zandkarimi Fereshteh, Remotti Helen, Frache Gilles, Winograd Nicholas, Stockwell Brent R
| 期刊: | Developmental Cell | 影响因子: | 8.700 |
| 时间: | 2024 | 起止号: | 2024 Apr 8; 59(7):869-881 |
| doi: | 10.1016/j.devcel.2024.01.025 | 研究方向: | 代谢、细胞生物学 |
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