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Rosenberger, F.A.* ; Thielert, M.* ; Strauss, M.T.* ; Schweizer, L.* ; Ammar, C.* ; Mädler, S.C.* ; Metousis, A.* ; Skowronek, P.* ; Wahle, M.* ; Madden, K.* ; Schniering, J. ; Semenova, A. ; Schiller, H. ; Rodriguez, E.* ; Nordmann, T.M.* ; Mund, A.* ; Mann, M.*

Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome.

Nat. Methods 20, 1530-1536 (2023)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 1548-7091
e-ISSN 1548-7105
Zeitschrift Nature Methods
Quellenangaben Band: 20, Heft: 10, Seiten: 1530-1536 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Lung Health and Immunity (LHI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Lung Research
PSP-Element(e) G-501693-001
Förderungen 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
DOI 10.1038/s41592-023-02007-6
WOS ID 001096071500017
Scopus ID 85173076127
PubMed ID 37783884
Erfassungsdatum 2023-10-18
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