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Multimodal mass spectrometry imaging identifies cell-type-specific metabolic and lipidomic variation in the mammalian liver.
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.
Afiliação
  • Tian H; Environmental and Occupational Health, Pitt Public Health, Pittsburgh, PA 15261, USA; Children's Neuroscience Institute, School of Medicine, Pittsburgh, PA 15224, USA. Electronic address: hut17@pitt.edu.
  • Rajbhandari P; Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
  • Tarolli J; Ionpath Inc., Menlo Park, CA 94025, USA.
  • Decker AM; Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
  • Neelakantan TV; Department of Chemistry, Columbia University, New York, NY 10027, USA.
  • Angerer T; The Luxembourg Institute of Science and Technology, 4362 Esch-sur-Alzette, Luxembourg; Department of Pharmaceutical Biosciences, Uppsala University, 751 05 Uppsala, Sweden.
  • Zandkarimi F; Department of Chemistry, Columbia University, New York, NY 10027, USA.
  • Remotti H; Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA.
  • Frache G; The Luxembourg Institute of Science and Technology, 4362 Esch-sur-Alzette, Luxembourg.
  • Winograd N; Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
  • Stockwell BR; Department of Biological Sciences, Columbia University, New York, NY 10027, USA; Department of Chemistry, Columbia University, New York, NY 10027, USA; Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032,
Dev Cell ; 59(7): 869-881.e6, 2024 Apr 08.
Article em En | MEDLINE | ID: mdl-38359832
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 ([H2O]n>28K-GCIB-SIMS) at ≤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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Lipidômica Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Lipidômica Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article