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.
Authors
- Mark Scalf
- Lloyd M. Smith (ORCID: https://orcid.org/0000-0002-6652-8639)
- Brian L. Frey (ORCID: https://orcid.org/0000-0002-0397-7269)
- Isabella T. Whitworth (ORCID: https://orcid.org/0000-0001-9753-5666)
- John G. Pavek (ORCID: https://orcid.org/0009-0002-6435-1486)
- Lisa Nakayama (ORCID: https://orcid.org/0009-0009-4958-8793)
Institutions
- University of Wisconsin–Madison (US)
Publication Details
- 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
Funders
- National Institutes of Health
- National Institute of General Medical Sciences