Journal article
Uncovering hidden protein modifications with native top-down mass spectrometry
- Abstract:
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Protein modifications drive dynamic cellular processes by modulating biomolecularinteractions, yet capturing these modifications within their native structural context remains asignificant challenge. Native top-down mass spectrometry (nTDMS) promises to preserve thecritical link between modifications and interactions. However, current methods often fail todetect uncharacterized or low-abundance modifications, limiting insights into proteoformdiversity. To address this gap, we introduce precisION, an interactive end-to-end softwarepackage that leverages a robust, data-driven fragment-level open search to detect, localize,and quantify “hidden” modifications within intact protein complexes. Applying precisION tofour therapeutically relevant targets—PDE6, ACE2, osteopontin (SPP1), and a GABAtransporter (GAT1)—here we discover undocumented phosphorylation, glycosylation, andlipidation, and resolve previously uninterpretable density in an electron cryo-microscopy mapof GAT1. As an open-source software package, precisION offers an intuitive means forinterpreting complex protein fragmentation data. This tool will empower the community tounlock the potential of nTDMS, advancing integrative structural biology, molecular pathology,and drug development.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 11.0MB, Terms of use)
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- Publisher copy:
- 10.1038/s41592-025-02846-5
Authors
- Publisher:
- Springer Nature
- Journal:
- Nature Methods More from this journal
- Volume:
- 22
- Issue:
- 10
- Pages:
- 2127–2137
- Publication date:
- 2025-09-29
- Acceptance date:
- 2025-08-21
- DOI:
- EISSN:
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1548-7105
- ISSN:
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1548-7091
- Language:
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English
- Keywords:
- Pubs id:
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2289686
- Local pid:
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pubs:2289686
- Deposit date:
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2025-09-19
- ARK identifier:
Terms of use
- Copyright holder:
- Bennett et al
- Copyright date:
- 2025
- Rights statement:
- © 2025, The Author(s). This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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