Petrosius Valdemaras, Aragon-Fernandez Pedro, Arrey Tabiwang N, Woessmann Jakob, Üresin Nil, de Boer Bauke, Su Jinyu, Furtwängler Benjamin, Stewart Hamish, Denisov Eduard, Petzoldt Johannes, Peterson Amelia C, Hock Christian, Damoc Eugen, Makarov Alexander, Zabrouskov Vlad, Porse Bo T, Schoof Erwin M
Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs Lyngby, Denmark.
Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Mol Cell Proteomics. 2025 Jun;24(6):100982. doi: 10.1016/j.mcpro.2025.100982. Epub 2025 May 5.
Single-cell proteomics by mass spectrometry (scp-MS) holds the potential to provide unprecedented insights into molecular features directly linked to the cellular phenotype while deconvoluting complex organisms into their basic building blocks. Tailored sample preparation that maximizes the extracted amount of material that is introduced into the mass spectrometer has rapidly propelled the field forward. However, the measured signal is still at the lower edge of detection, approaching the sensitivity boundary of current instrumentation. Here, we investigate the capacity of the enhanced sensitivity of the Orbitrap Astral mass spectrometer to facilitate deeper proteome profiles from low-input to single-cell samples. We carry out a comprehensive data acquisition method survey to pinpoint which parameters provide the most sensitivity. Furthermore, we explore the quantitative accuracy of the obtained measurements to ensure that the obtained abundances are in line with expected ground truth values. We culminate our technical exploration by generating small datasets from two cultured cell lines and a primary bone marrow sample, to showcase obtainable proteome coverage differences from different source materials. Finally, as a proof of concept, we explore protein covariation to showcase how information on known protein complexes is captured inherently in our scp-MS data.
通过质谱进行的单细胞蛋白质组学(scp-MS)有潜力提供前所未有的对与细胞表型直接相关的分子特征的见解,同时将复杂生物体解卷积为其基本组成部分。能使引入质谱仪的提取材料量最大化的定制样品制备方法迅速推动了该领域的发展。然而,测量信号仍处于检测下限,接近当前仪器的灵敏度边界。在此,我们研究了Orbitrap Astral质谱仪增强的灵敏度促进从低输入到单细胞样品的更深层次蛋白质组分析的能力。我们进行了全面的数据采集方法调查,以确定哪些参数提供了最高的灵敏度。此外,我们探索所获得测量值的定量准确性,以确保所获得的丰度与预期的真实值一致。我们通过从两种培养细胞系和一个原代骨髓样品生成小数据集来完成我们的技术探索,以展示不同来源材料可获得的蛋白质组覆盖差异。最后,作为概念验证,我们探索蛋白质共变,以展示我们的scp-MS数据如何固有地捕获关于已知蛋白质复合物的信息。