Improving Proteomic Dynamic Range with Multiple Accumulation Precursor Mass Spectrometry

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 <i>m</i>/<i>z</i> 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.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-09-12
DOI
https://doi.org/10.1021/acs.jproteome.5c00469
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Proteomic Dynamic Range with Multiple Accumulation Precursor Mass Spectrometry

Zilu Ye, Erwin M. Schoof, Brian C. Searle, Dong‐Jiunn Jeffery Truong et al.
2 citations
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
1.51
article

Improving Proteomic Dynamic Range with Multiple Accumulation Precursor Mass Spectrometry

Zilu Ye, Erwin M. Schoof, Brian C. Searle, Dong‐Jiunn Jeffery Truong, Ariana E. Shannon, Teeradon Phlairaharn, Xinlei Zeng
article en
2 citations

Abstract

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 <i>m</i>/<i>z</i> 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.

Journal of Proteome ResearchVol. 24(10)
Peking Union Medical College Hospital (CN), WinnMed (US), Helmholtz Zentrum München (DE), Heilbronn University (DE), Institute for Biomedicine (IT), Suzhou Institute of Systems Medicine (CN), Suzhou Research Institute (CN), Mayo Clinic in Florida (US), Technical University of Munich (DE), Technical University of Denmark (DK)
Openalex Percentile: Top 16%
Advanced Proteomics Techniques and Applications
1.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.