학술논문
Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome
Document Type
Article
Author
Rosenberger, Florian A.; Thielert, Marvin; Strauss, Maximilian T.; Schweizer, Lisa; Ammar, Constantin; Mädler, Sophia C.; Metousis, Andreas; Skowronek, Patricia; Wahle, Maria; Madden, Katherine; Gote-Schniering, Janine; Semenova, Anna; Schiller, Herbert B.; Rodriguez, Edwin; Nordmann, Thierry M.; Mund, Andreas; Mann, Matthias
Source
Nature Methods; 20230101, Issue: Preprints p1-7, 7p
Subject
Language
ISSN
15487091; 15487105
Abstract
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.