| Autor: |
Dong-Gi Mun, Firdous A. Bhat, Neha Joshi, Leticia Sandoval, Husheng Ding, Anu Jain, Jane A. Peterson, Taewook Kang, Ganesh P. Pujari, Jennifer L. Tomlinson, Rohit Budhraja, Roman M. Zenka, Nagarajan Kannan, Benjamin R. Kipp, Surendra Dasari, Alexandre Gaspar-Maia, Rory L. Smoot, Richard K. Kandasamy, Akhilesh Pandey |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Communications Biology, Vol 7, Iss 1, Pp 1-10 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2399-3642 |
| DOI: |
10.1038/s42003-024-06579-7 |
| Popis: |
Abstract The 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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