ArticleScientific reports2016
Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Area under the curve quantification outperforms spectral counting in metaproteomics, but matching between runs is detrimental.bioRxiv : the preprint server for biology · 2026Article
- Exploring the In Vivo Fate of β-1, 3/1, 6-Glucan Using Quantitative Tandem Mass Spectrometry Based on a Structure-Specific Fragment.Marine drugs · 2025Article
- Trace Sample Proteome Quantification by Data-Dependent Acquisition without Dynamic Exclusion.Analytical chemistry · 2023Article
- On the Reproducibility of Label-Free Quantitative Cross-Linking/Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2018Article
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Authors and funding
9 authors.
Funding
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Abstract
Most currently proteomic studies use data-dependent acquisition with dynamic exclusion to identify and quantify the peptides generated by the digestion of biological sample. Although dynamic exclusion permits more identifications and higher possibility to find low abundant proteins, stochastic and irreproducible precursor ion selection caused by dynamic exclusion limit the quantification capabilities, especially for MS/MS based quantification. This is because a peptide is usually triggered for fragmentation only once due to dynamic exclusion. Therefore the fragment ions used for quantification only reflect the peptide abundances at that given time point. Here, we propose a strategy of fast MS/MS acquisition without dynamic exclusion to enable precise and accurate quantification of proteome by MS/MS fragment intensity. The results showed comparable proteome identification efficiency compared to the traditional data-dependent acquisition with dynamic exclusion, better quantitative accuracy and reproducibility regardless of label-free based quantification or isobaric labeling based quantification. It provides us with new insights to fully explore the potential of modern mass spectrometers. This strategy was applied to the relative quantification of two human disease cell lines, showing great promises for quantitative proteomic applications.
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Registered trials
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