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Cited by 308

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Ultra-fast proteomics with Scanning SWATH

Open access
Messner, Christoph B., Demichev, Vadim, Bloomfield, Nic, Yu, Jason S. L., White, Matthew, Kreidl, Marco, Egger, Anna-Sophia, Freiwald, Anja, Ivosev, Gordana, Wasim, Fras, Zelezniak, Aleksej, Jürgens, Linda, Suttorp, Norbert, Sander, Leif Erik, Kurth, Florian, Lilley, Kathryn S., Mülleder, Michael, Tate, Stephen, Ralser, Markus·2021·Nature Biotechnology

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. Scanning SWATH increases the speed and selectivity of proteomics.

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Metadata

Authors
Messner, C. B., Demichev, V., Bloomfield, N., Yu, J. S. L., White, M., Kreidl, M., Egger, A.-S., Freiwald, A., Ivosev, G., Wasim, F., Zelezniak, A., Jürgens, L., Suttorp, N., Sander, L. E., Kurth, F., Lilley, K. S., Mülleder, M., Tate, S., & Ralser, M.
Venue
Nature Biotechnology
Published
2021-03-25
Volume
39
Issue
7
Pages
846-854
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W3138817412
Cited by
308
References
83
FWCI
17.18
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Ultra-fast proteomics with Scanning SWATH. https://app.cochat.ai/papers/10.1038/s41587-021-00860-4
The paper
Messner, C. B., Demichev, V., Bloomfield, N., Yu, J. S. L., White, M., Kreidl, M., Egger, A.-S., Freiwald, A., Ivosev, G., Wasim, F., Zelezniak, A., Jürgens, L., Suttorp, N., Sander, L. E., Kurth, F., Lilley, K. S., Mülleder, M., Tate, S., & Ralser, M. (2021). Ultra-fast proteomics with Scanning SWATH. Nature Biotechnology. https://doi.org/10.1038/s41587-021-00860-4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.