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Multimodal mass spectrometry imaging identifies cell-type-specific metabolic and lipidomic variation in the mammalian liver

Hua Tian, Presha Rajbhandari, Jay Tarolli, Aubrianna M. Decker, Taruna V. Neelakantan, Tina Angerer, Fereshteh Zandkarimi, Helen Remotti, Gilles Frache, Nicholas Winograd, Brent R. Stockwell

DEVELOPMENTAL CELL(2024)

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Abstract
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>28K )-GCIB-SIMS) at %3 mm 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 dualSIMS 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.
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