Diversity of post-translational modifications and cell signaling revealed by single cell and single organelle mass spectrometry

Author:

Mun Dong-Gi,Bhat Firdous A.ORCID,Joshi NehaORCID,Sandoval Leticia,Ding Husheng,Jain Anu,Peterson Jane A.,Kang TaewookORCID,Pujari Ganesh P.,Tomlinson Jennifer L.,Budhraja RohitORCID,Zenka Roman M.ORCID,Kannan NagarajanORCID,Kipp Benjamin R.,Dasari Surendra,Gaspar-Maia AlexandreORCID,Smoot Rory L.,Kandasamy Richard K.ORCID,Pandey AkhileshORCID

Abstract

AbstractThe rapid evolution of mass spectrometry-based single-cell proteomics now enables the cataloging of several thousand proteins from single cells. We investigated whether we could discover cellular heterogeneity beyond proteome, encompassing post-translational modifications (PTM), protein-protein interaction, and variants. By optimizing the mass spectrometry data interpretation strategy to enable the detection of PTMs and variants, we have generated a high-definition dataset of single-cell and nuclear proteomic-states. The data demonstrate the heterogeneity of cell-states and signaling dependencies at the single-cell level and reveal epigenetic drug-induced changes in single nuclei. This approach enables the exploration of previously uncharted single-cell and organellar proteomes revealing molecular characteristics that are inaccessible through RNA profiling.

Funder

U.S. Department of Health & Human Services | NIH | National Cancer Institute

Publisher

Springer Science and Business Media LLC

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