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Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
Published on: August 28, 2021
Optimized fast and sensitive acquisition methods for shotgun proteomics on a quadrupole orbitrap mass spectrometer
Christian D Kelstrup1, Clifford Young, Richard Lavallee
1Department of Proteomics, Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen , Blegdamsvej 3b, DK-2200 Copenhagen N, Denmark.
Optimizing quadrupole Orbitrap (Q Exactive) mass spectrometry acquisition methods improves proteomic analysis. Faster scanning suits higher sample loads, while sensitive methods enhance protein identification with lower sample amounts.
Area of Science:
- Proteomics
- Mass Spectrometry
- Analytical Chemistry
Background:
- Mass spectrometry advances drive proteomics.
- The quadrupole Orbitrap (Q Exactive) enables fast, high-resolution tandem mass spectra acquisition.
- Parallel operation enhances data acquisition speed.
Purpose of the Study:
- Optimize data-dependent acquisition methods for the Q Exactive.
- Assess "fast" versus "sensitive" scanning for proteome coverage.
- Determine optimal acquisition strategies based on sample load and analytical goals.
Main Methods:
- Comparative analysis of "fast" (95 ms) and "sensitive" (156 ms) HCD scanning methods.
- Evaluation using stable isotope labeled yeast proteome.
- Application to complex mammalian whole cell lysates with varying LC gradient times (1-3 h).
Main Results:
- For sample loads >125 ng, fast scanning (95 ms) identified >2000 yeast proteins in 1 hour.
- For sample loads <125 ng, sensitive scanning (156 ms) identified 30% more proteins/peptides.
- Sensitive scanning with a 3h LC gradient identified >4000 proteins from 1 μg HeLa digest, outperforming fast scanning.
Conclusions:
- Peptide identification on Q Exactive depends on sample amount, acquisition speed, and data quality.
- Tailored acquisition methods are crucial for different sample loads and analytical preferences.
- Optimized methods enhance proteome coverage and analytical efficiency.
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