Uncovering hidden protein modifications with native top-down mass spectrometry.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41023435.
- Also identified by DOI 10.1038/s41592-025-02846-5 and PMC identifier 12510877.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Protein modifications drive dynamic cellular processes by modulating biomolecular interactions, yet capturing these modifications within their native structural context remains a significant challenge. Native top-down mass spectrometry promises to preserve the critical link between modifications and interactions. However, current methods often fail to detect uncharacterized or low-abundance modifications, limiting insights into proteoform diversity. To address this gap, we introduce precise and accurate Identification Of Native proteoforms (precisION), an interactive end-to-end software package that leverages a robust, data-driven fragment-level open search to detect, localize and quantify 'hidden' modifications within intact protein complexes. Applying precisION to four therapeutically relevant targets-PDE6, ACE2, osteopontin (SPP1) and a GABA transporter (GAT1)-we discover undocumented phosphorylation, glycosylation and lipidation, and resolve previously uninterpretable density in an electron cryo-microscopy map of GAT1. As an open-source software package, precisION offers an intuitive means for interpreting complex protein fragmentation data. This tool will empower the community to unlock the potential of native top-down mass spectrometry, advancing integrative structural biology, molecular pathology and drug development.
Medical subject headings
- Mass Spectrometry
- Software
- Protein Processing, Post-Translational
- Proteomics
- Proteins