On the feasibility and utility of exploiting real time database search to improve adaptive peak selection
Benjamin J. Diament, Michael J. MacCoss, William Stafford Noble

TL;DR
This paper explores whether real-time analysis of fragmentation spectra can enhance peak selection in shotgun proteomics, finding that while feasible, it does not significantly increase peptide identifications in simulations.
Contribution
It investigates the feasibility of incorporating real-time peptide identification into peak selection, providing a foundation for future research in adaptive proteomics methods.
Findings
Real-time identification of fragmentation spectra is feasible.
Incorporating peptide identifications does not significantly improve peptide yield.
The study offers a starting point for future adaptive peak selection strategies.
Abstract
Rationale: In a shotgun proteomics experiment with data-dependent acquisition, real-time analysis of a precursor scan results in selection of a handful of peaks for subsequent isolation, fragmentation and secondary scanning. This peak selection protocol typically focuses on the most abundant peaks in the precursor scan, while attempting to avoid re-sampling the same m/z values in rapid succession. The protocol does not, however, incorporate analysis of previous fragmentation scans into the peak selection procedure. Methods: In this work, we investigate the feasibility and utility of incorporating analysis of previous fragmentation scans into the peak selection protocol. We demonstrate that real-time identification of fragmentation spectra is feasible in principle, and we investigate, via simulations, several strategies to make use of the resulting peptide identifications during peak…
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Taxonomy
TopicsAdvanced Proteomics Techniques and Applications · Mass Spectrometry Techniques and Applications · Advanced Biosensing Techniques and Applications
