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  Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation

Brunner, A.-D., Thielert, M., Vasilopoulou, C., Ammar, C., Coscia, F., Mund, A., et al. (2022). Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation. Molecular Systems Biology, 18(3): e10798. doi:10.15252/msb.202110798.

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Brunner, Andreas-David1, Autor           
Thielert, Marvin1, Autor           
Vasilopoulou, Catherine1, Autor           
Ammar, Constantin1, Autor           
Coscia, Fabian2, Autor
Mund, Andreas2, Autor
Hoerning, Ole B.2, Autor
Bache, Nicolai2, Autor
Apalategui, Amalia2, Autor
Lubeck, Markus2, Autor
Richter, Sabrina2, Autor
Fischer, David S.2, Autor
Raether, Oliver2, Autor
Park, Melvin A.2, Autor
Meier, Florian1, Autor           
Theis, Fabian J.2, Autor
Mann, Matthias1, Autor           
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2external, ou_persistent22              

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Schlagwörter: RNA-SEQ; PEPTIDE IDENTIFICATION; REVEALS; PLATFORMBiochemistry & Molecular Biology; drug perturbation; low-flow LC-MS; proteomics at single-cell resolution; single-cell heterogeneity; systems biology;
 Zusammenfassung: Single-cell technologies are revolutionizing biology but are today mainly limited to imaging and deep sequencing. However, proteins are the main drivers of cellular function and in-depth characterization of individual cells by mass spectrometry (MS)-based proteomics would thus be highly valuable and complementary. Here, we develop a robust workflow combining miniaturized sample preparation, very low flow-rate chromatography, and a novel trapped ion mobility mass spectrometer, resulting in a more than 10-fold improved sensitivity. We precisely and robustly quantify proteomes and their changes in single, FACS-isolated cells. Arresting cells at defined stages of the cell cycle by drug treatment retrieves expected key regulators. Furthermore, it highlights potential novel ones and allows cell phase prediction. Comparing the variability in more than 430 single-cell proteomes to transcriptome data revealed a stable-core proteome despite perturbation, while the transcriptome appears stochastic. Our technology can readily be applied to ultra-high sensitivity analyses of tissue material, posttranslational modifications, and small molecule studies from small cell counts to gain unprecedented insights into cellular heterogeneity in health and disease.

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Sprache(n): eng - English
 Datum: 2022
 Publikationsstatus: Online veröffentlicht
 Seiten: 15
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000776291700003
DOI: 10.15252/msb.202110798
 Art des Abschluß: -

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Titel: Molecular Systems Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : Nature Pub. Group
Seiten: - Band / Heft: 18 (3) Artikelnummer: e10798 Start- / Endseite: - Identifikator: ISSN: 1744-4292
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000021290