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Improving proteomic dynamic range with Multiple Accumulation Precursor Mass Spectrometry.
J. Proteome Res. 24, 5116–5126 (2025)
Orbitrap (OT)-based mass spectrometer platforms are a gold standard in high-resolution mass spectrometry, where their primary disadvantage is slower-scanning speed in comparison to time-of-flight or linear ion trap mass analyzers. In this study, we utilize long OT transients to extend the precursor dynamic range by modifying the selected ion monitoring method to multiplex several precursor m/z ranges into a single scan, which we call "multiple accumulation precursor mass spectrometry". Our approach requires no software or hardware modifications and hides the additional ion accumulation steps during the time it takes to make other Orbitrap measurements, producing precursor spectra with nearly 2× dynamic range and essentially no consequences. We collected data using both data-dependent acquisition (DDA) and data-independent acquisition (DIA) methods to evaluate a range of approaches. With DDA, MAP-MS precursor quantification improves with higher quality measurements. At the same time, DIA detection is enhanced by up to 11% when combining precursor and tandem mass spectra for peptide detection.
Impact Factor
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Altmetric
3.600
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Anmerkungen
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Data-dependent Acquisition ; Data-independent Acquisition ; Mass Spectrometry ; Multiplexing ; Orbitrap Mass Analyzer ; Peptide Identification Optimization ; Peptide Quantification Optimization; Data-independent Acquisition; Peptide Identification; Selectivity; Ms/ms
Sprache
englisch
Veröffentlichungsjahr
2025
HGF-Berichtsjahr
2025
ISSN (print) / ISBN
1535-3893
e-ISSN
1535-3907
Zeitschrift
Journal of Proteome Research
Quellenangaben
Band: 24,
Heft: 10,
Seiten: 5116–5126
Verlag
American Chemical Society (ACS)
Verlagsort
1155 16th St, Nw, Washington, Dc 20036 Usa
Begutachtungsstatus
Peer reviewed
Institut(e)
Insitute of Synthetic Biomedicine (ISBM)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-509300-001
Förderungen
NCTIB Fund for the R&D Platform for Cell and Gene Therapy
Suzhou Municipal Key Laboratory
Natural Science Foundation of Jiangsu Province
Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences
Nonprofit Central Research Institute Fund of the Chinese Academy of Medical Sciences
National Institutes of Health
Pelotonia Institute for Immuno-Oncology
Suzhou Municipal Key Laboratory
Natural Science Foundation of Jiangsu Province
Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences
Nonprofit Central Research Institute Fund of the Chinese Academy of Medical Sciences
National Institutes of Health
Pelotonia Institute for Immuno-Oncology
WOS ID
001570872600001
PubMed ID
40940309
Erfassungsdatum
2025-11-04