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Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome.
Nat. Methods 20, 1530-1536 (2023)
Single-cell proteomics by mass spectrometry is emerging as a powerful and unbiased method for the characterization of biological heterogeneity. So far, it has been limited to cultured cells, whereas an expansion of the method to complex tissues would greatly enhance biological insights. Here we describe single-cell Deep Visual Proteomics (scDVP), a technology that integrates high-content imaging, laser microdissection and multiplexed mass spectrometry. scDVP resolves the context-dependent, spatial proteome of murine hepatocytes at a current depth of 1,700 proteins from a cell slice. Half of the proteome was differentially regulated in a spatial manner, with protein levels changing dramatically in proximity to the central vein. We applied machine learning to proteome classes and images, which subsequently inferred the spatial proteome from imaging data alone. scDVP is applicable to healthy and diseased tissues and complements other spatial proteomics and spatial omics technologies.
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Publication type
Article: Journal article
Document type
Scientific Article
ISSN (print) / ISBN
1548-7091
e-ISSN
1548-7105
Journal
Nature Methods
Quellenangaben
Volume: 20,
Issue: 10,
Pages: 1530-1536
Publisher
Nature Publishing Group
Publishing Place
New York, NY
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Lung Health and Immunity (LHI)
Grants
Horizon-2020 under the MICROB-PREDICT program
Novo Nordisk Foundation, Denmark
Chan Zuckerberg Initiative
Max Planck Society for Advancement of Science
ISLET
European Union
European Respiratory Society
EMBO
Novo Nordisk Foundation, Denmark
Chan Zuckerberg Initiative
Max Planck Society for Advancement of Science
ISLET
European Union
European Respiratory Society
EMBO