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Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
by
Østergaard, Ole
, Renuse, Santosh
, Damoc, Eugen
, Rydbirk, Rasmus
, Stewart, Hamish
, Olsen, Jesper V.
, Denisov, Eduard
, Pashkova, Anna
, Guzman, Ulises H.
, Harking, Florian
, Horning, Stevan
, Martinez-Val, Ana
, Makarov, Alexander
, Xuan, Yue
, Ye, Zilu
, Arrey, Tabiwang N.
, Peterson, Amelia C.
, Zabrouskov, Vlad
, Hermanson, Daniel
, Hock, Christian
, Petzoldt, Johannes
, Aznar, Susana
in
631/1647/2067
/ 631/1647/296
/ Agriculture
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Humans
/ Life Sciences
/ Mass spectrometry
/ Mass spectroscopy
/ Proteins
/ Proteome
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Quadrupoles
/ Resolution
/ Scientific imaging
/ Tandem Mass Spectrometry - methods
/ Yeast
2024
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Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
by
Østergaard, Ole
, Renuse, Santosh
, Damoc, Eugen
, Rydbirk, Rasmus
, Stewart, Hamish
, Olsen, Jesper V.
, Denisov, Eduard
, Pashkova, Anna
, Guzman, Ulises H.
, Harking, Florian
, Horning, Stevan
, Martinez-Val, Ana
, Makarov, Alexander
, Xuan, Yue
, Ye, Zilu
, Arrey, Tabiwang N.
, Peterson, Amelia C.
, Zabrouskov, Vlad
, Hermanson, Daniel
, Hock, Christian
, Petzoldt, Johannes
, Aznar, Susana
in
631/1647/2067
/ 631/1647/296
/ Agriculture
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Humans
/ Life Sciences
/ Mass spectrometry
/ Mass spectroscopy
/ Proteins
/ Proteome
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Quadrupoles
/ Resolution
/ Scientific imaging
/ Tandem Mass Spectrometry - methods
/ Yeast
2024
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Do you wish to request the book?
Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
by
Østergaard, Ole
, Renuse, Santosh
, Damoc, Eugen
, Rydbirk, Rasmus
, Stewart, Hamish
, Olsen, Jesper V.
, Denisov, Eduard
, Pashkova, Anna
, Guzman, Ulises H.
, Harking, Florian
, Horning, Stevan
, Martinez-Val, Ana
, Makarov, Alexander
, Xuan, Yue
, Ye, Zilu
, Arrey, Tabiwang N.
, Peterson, Amelia C.
, Zabrouskov, Vlad
, Hermanson, Daniel
, Hock, Christian
, Petzoldt, Johannes
, Aznar, Susana
in
631/1647/2067
/ 631/1647/296
/ Agriculture
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Humans
/ Life Sciences
/ Mass spectrometry
/ Mass spectroscopy
/ Proteins
/ Proteome
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Quadrupoles
/ Resolution
/ Scientific imaging
/ Tandem Mass Spectrometry - methods
/ Yeast
2024
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Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
Journal Article
Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
2024
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Overview
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.
A new mass spectrometry strategy combines the advantages of data-dependent and data-independent acquisition.
Publisher
Nature Publishing Group US,Nature Publishing Group
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