Nature of False Peptide Identifications in Data-Independent Acquisition-Based Proteome Analysis

Data-independent acquisition (DIA) mass spectrometry is increasingly used in proteomics because it offers a shorter analysis time at higher proteome coverage. Most existing DIA search engines rely heavily on fragmentation spectra and produce identification results, even when precursor ions are not detected. Although the latter is well-known, the errors it can lead to have received little attention. In this work, we studied false identifications in DIA, primarily due to the lack of a corresponding precursor ion envelope. Using a DIA data set with known UPS proteins spiked into Escherichia coli (E. coli), we performed an extensive search against several hundred databases with in silico-generated UPS variants mimicking single amino-acid substitutions. We found that DIA search results often fail to distinguish between peptides with similar fragmentation patterns but different precursor masses. Peptides with substitutions near the N-terminus were more often misidentified by the search engine than those with substitutions near the C-terminus. This algorithmic shortcoming limits its applications in areas such as proteogenomics, post-translational modification detection, and proteoform analysis. To partially address this issue, we propose using identifications based only on the identified precursor and the narrow isolation windows.

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Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2026-05-18
DOI
https://doi.org/10.1021/jasms.5c00320
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Nature of False Peptide Identifications in Data-Independent Acquisition-Based Proteome Analysis

Mark V. Ivanov, Mikhail V. Gorshkov, Daniil D. Pomogaev
Journal of the American Society for Mass Spectrometry
Advanced Proteomics Techniques and Applications
article

Nature of False Peptide Identifications in Data-Independent Acquisition-Based Proteome Analysis

Mark V. Ivanov, Mikhail V. Gorshkov, Daniil D. Pomogaev
article en

Abstract

Data-independent acquisition (DIA) mass spectrometry is increasingly used in proteomics because it offers a shorter analysis time at higher proteome coverage. Most existing DIA search engines rely heavily on fragmentation spectra and produce identification results, even when precursor ions are not detected. Although the latter is well-known, the errors it can lead to have received little attention. In this work, we studied false identifications in DIA, primarily due to the lack of a corresponding precursor ion envelope. Using a DIA data set with known UPS proteins spiked into Escherichia coli (E. coli), we performed an extensive search against several hundred databases with in silico-generated UPS variants mimicking single amino-acid substitutions. We found that DIA search results often fail to distinguish between peptides with similar fragmentation patterns but different precursor masses. Peptides with substitutions near the N-terminus were more often misidentified by the search engine than those with substitutions near the C-terminus. This algorithmic shortcoming limits its applications in areas such as proteogenomics, post-translational modification detection, and proteoform analysis. To partially address this issue, we propose using identifications based only on the identified precursor and the narrow isolation windows.

Journal of the American Society for Mass Spectrometry
Semenov Institute of Chemical Physics (RU)
Russian Science Foundation
Openalex Percentile: Top 10%
Advanced Proteomics Techniques and Applications
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