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

被引:296
作者
Brunner, Andreas-David [1 ]
Thielert, Marvin [1 ]
Vasilopoulou, Catherine [1 ]
Ammar, Constantin [1 ]
Coscia, Fabian [2 ]
Mund, Andreas [2 ]
Hoerning, Ole B. [3 ]
Bache, Nicolai [3 ]
Apalategui, Amalia [4 ]
Lubeck, Markus [4 ]
Richter, Sabrina [5 ,6 ]
Fischer, David S. [5 ,6 ]
Raether, Oliver [4 ]
Park, Melvin A. [7 ]
Meier, Florian [1 ,8 ]
Theis, Fabian J. [5 ,6 ]
Mann, Matthias [1 ,2 ]
机构
[1] Max Planck Inst Biochem, Prote & Signal Transduct, Martinsried, Germany
[2] Univ Copenhagen, Fac Hlth & Med Sci, NNF Ctr Prot Res, Copenhagen, Denmark
[3] EvoSep Biosyst, Odense, Denmark
[4] Bruker Daltonik GmbH, Bremen, Germany
[5] Helmholtz Zentrum Munchen, Inst Computat Biol, German Res Ctr Environm Hlth, Neuherberg, Germany
[6] Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Freising Weihenstephan, Germany
[7] Bruker Daltonics Inc, Billerica, MA USA
[8] Jena Univ Hosp, Funct Prote, Jena, Germany
关键词
drug perturbation; low-flow LC-MS; proteomics at single-cell resolution; single-cell heterogeneity; systems biology; RNA-SEQ; PEPTIDE IDENTIFICATION; REVEALS; PLATFORM;
D O I
10.15252/msb.202110798
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:15
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