| Literature DB >> 33767396 |
Christoph B Messner1,2, Vadim Demichev1,2,3, Nic Bloomfield4, Jason S L Yu1, Matthew White1, Marco Kreidl1, Anna-Sophia Egger1, Anja Freiwald2,5, Gordana Ivosev4, Fras Wasim4, Aleksej Zelezniak1,6, Linda Jürgens7, Norbert Suttorp7, Leif Erik Sander7, Florian Kurth7,8, Kathryn S Lilley3, Michael Mülleder5, Stephen Tate4, Markus Ralser9,10.
Abstract
Accurate quantification of the proteome remains challenging for large sample series and longitudinal experiments. We report a data-independent acquisition method, Scanning SWATH, that accelerates mass spectrometric (MS) duty cycles, yielding quantitative proteomes in combination with short gradients and high-flow (800 µl min-1) chromatography. Exploiting a continuous movement of the precursor isolation window to assign precursor masses to tandem mass spectrometry (MS/MS) fragment traces, Scanning SWATH increases precursor identifications by ~70% compared to conventional data-independent acquisition (DIA) methods on 0.5-5-min chromatographic gradients. We demonstrate the application of ultra-fast proteomics in drug mode-of-action screening and plasma proteomics. Scanning SWATH proteomes capture the mode of action of fungistatic azoles and statins. Moreover, we confirm 43 and identify 11 new plasma proteome biomarkers of COVID-19 severity, advancing patient classification and biomarker discovery. Thus, our results demonstrate a substantial acceleration and increased depth in fast proteomic experiments that facilitate proteomic drug screens and clinical studies.Entities:
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Year: 2021 PMID: 33767396 PMCID: PMC7611254 DOI: 10.1038/s41587-021-00860-4
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908