Single-cell Deep Visual Proteomics (scDVP) is a groundbreaking technology that combines high-content imaging, laser microdissection, and multiplexed mass spectrometry to delve into biological heterogeneity at the cellular level. Previously, single-cell proteomics was limited to cultured cells, however, in a new method published in Nature Methods by Rosenberger et al. from the lab of Matthias Mann, scDVP extends its reach to complex tissues. The study focused on the spatial proteome of murine hepatocytes, revealing that half of the proteome was spatially regulated, with protein levels varying significantly near the central vein. The method was able to identify up to 1,700 proteins from a single cell slice. Machine learning was employed to infer the spatial proteome using imaging data. The study’s results have significant implications for understanding liver biology, especially the spatial heterogeneity and proteome variation in hepatocytes.
Journal Article – Oct 2023, Nature methods
Florian A. Rosenberger, Marvin Thielert, Maximilian T. Strauss, Lisa Schweizer, Constantin Ammar, Sophia C. Mädler, Andreas Metousis, Patricia Skowronek, Maria Wahle, Katherine Madden, Janine Gote-Schniering, Anna Semenova, Herbert B. Schiller, Edwin Rodriguez, Thierry M. Nordmann, Andreas Mund & Matthias Mann
Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome