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Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition

Open access
Guzman, Ulises H., Martinez-Val, Ana, Ye, Zilu, Damoc, Eugen, Arrey, Tabiwang N., Pashkova, Anna, Renuse, Santosh, Denisov, Eduard, Petzoldt, Johannes, Peterson, Amelia C., Harking, Florian, Østergaard, Ole, Rydbirk, Rasmus, Aznar, Susana, Stewart, Hamish, Xuan, Yue, Hermanson, Daniel, Horning, Stevan, Hock, Christian, Makarov, Alexander, Zabrouskov, Vlad, Olsen, Jesper V.·2024·Nature Biotechnology

Abstract

Mass spectrometry (MS)-based proteomics aims to characterize comprehensive proteomes in a fast and reproducible manner. Here we present the narrow-window data-independent acquisition (nDIA) strategy consisting of high-resolution MS1 scans with parallel tandem MS (MS/MS) scans of ~200 Hz using 2-Th isolation windows, dissolving the differences between data-dependent and -independent methods. This is achieved by pairing a quadrupole Orbitrap mass spectrometer with the asymmetric track lossless (Astral) analyzer which provides >200-Hz MS/MS scanning speed, high resolving power and sensitivity, and low-ppm mass accuracy. The nDIA strategy enables profiling of >100 full yeast proteomes per day, or 48 human proteomes per day at the depth of ~10,000 human protein groups in half-an-hour or ~7,000 proteins in 5 min, representing 3× higher coverage compared with current state-of-the-art MS. Multi-shot acquisition of offline fractionated samples provides comprehensive coverage of human proteomes in ~3 h. High quantitative precision and accuracy are demonstrated in a three-species proteome mixture, quantifying 14,000+ protein groups in a single half-an-hour run.

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Metadata

Authors
Guzman, U. H., Martinez-Val, A., Ye, Z., Damoc, E., Arrey, T. N., Pashkova, A., Renuse, S., Denisov, E., Petzoldt, J., Peterson, A. C., Harking, F., Østergaard, O., Rydbirk, R., Aznar, S., Stewart, H., Xuan, Y., Hermanson, D., Horning, S., Hock, C., Makarov, A., Zabrouskov, V., & Olsen, J. V.
Venue
Nature Biotechnology
Published
2024-02-01
Volume
42
Issue
12
Pages
1855-1866
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W4391437651
Cited by
346
References
59
FWCI
41.49
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. https://app.cochat.ai/papers/10.1038/s41587-023-02099-7
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Guzman, U. H., Martinez-Val, A., Ye, Z., Damoc, E., Arrey, T. N., Pashkova, A., Renuse, S., Denisov, E., Petzoldt, J., Peterson, A. C., Harking, F., Østergaard, O., Rydbirk, R., Aznar, S., Stewart, H., Xuan, Y., Hermanson, D., Horning, S., Hock, C., . . . Olsen, J. V. (2024). Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. Nature Biotechnology. https://doi.org/10.1038/s41587-023-02099-7

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