Intact Mass Proteomics Using a Proteoform Atlas

Top-down proteomics, the characterization of intact proteoforms by tandem mass spectrometry, is the principal method for proteoform characterization in complex samples. Top-down proteomics relies on precursor isolation and subsequent gas-phase fragmentation to make proteoform identifications. While this strategy can produce highly detailed molecular information, the reliance on time-intensive tandem MS limits the speed with which proteoforms can be identified. We suggest that once proteoforms have been identified by top-down analysis in a system of interest, and archived in a system-specific Proteoform Atlas, subsequent analyses in that system can utilize the Atlas information to enable simpler and faster MS1-only identifications. We explore this idea here, using the <i>E. coli</i> ribosome as a model system of limited complexity. We used deep top-down analysis to construct an <i>E. coli</i> ribosomal Proteoform Atlas containing 2099 proteoforms from 52 of the 54 proteins that make up the <i>E. coli</i> ribosome. We show that using the Atlas enables confident MS1-only identifications of <i>E. coli</i> ribosomal proteoforms from <i>E. coli</i> that were perturbed by exposure to cold. Furthermore, this Atlas strategy identifies proteoforms up to 77% more rapidly compared to top-down identifications that require acquisition of both MS1 and MS2 spectra.

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Journal
Journal of Proteome Research
Published
2024-12-11
DOI
https://doi.org/10.1021/acs.jproteome.4c00838
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Intact Mass Proteomics Using a Proteoform Atlas

Mark Scalf, Lloyd M. Smith, Brian L. Frey, Isabella T. Whitworth et al.
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
article

Intact Mass Proteomics Using a Proteoform Atlas

Mark Scalf, Lloyd M. Smith, Brian L. Frey, Isabella T. Whitworth, John G. Pavek, Lisa Nakayama
article en

Abstract

Top-down proteomics, the characterization of intact proteoforms by tandem mass spectrometry, is the principal method for proteoform characterization in complex samples. Top-down proteomics relies on precursor isolation and subsequent gas-phase fragmentation to make proteoform identifications. While this strategy can produce highly detailed molecular information, the reliance on time-intensive tandem MS limits the speed with which proteoforms can be identified. We suggest that once proteoforms have been identified by top-down analysis in a system of interest, and archived in a system-specific Proteoform Atlas, subsequent analyses in that system can utilize the Atlas information to enable simpler and faster MS1-only identifications. We explore this idea here, using the <i>E. coli</i> ribosome as a model system of limited complexity. We used deep top-down analysis to construct an <i>E. coli</i> ribosomal Proteoform Atlas containing 2099 proteoforms from 52 of the 54 proteins that make up the <i>E. coli</i> ribosome. We show that using the Atlas enables confident MS1-only identifications of <i>E. coli</i> ribosomal proteoforms from <i>E. coli</i> that were perturbed by exposure to cold. Furthermore, this Atlas strategy identifies proteoforms up to 77% more rapidly compared to top-down identifications that require acquisition of both MS1 and MS2 spectra.

Journal of Proteome ResearchVol. 24(1)
University of Wisconsin–Madison (US)
National Institutes of Health, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 83%
Advanced Proteomics Techniques and Applications
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