Evidence map›Paper›PMID 41023435›Full record

ArticleNature methods2025

Uncovering hidden protein modifications with native top-down mass spectrometry.

Jack L Bennett, Tarick J El-Baba, Konstantin C Zouboulis, Carla Kirschbaum, Haigang Song, Frances I Butroid, Justin L P Benesch, Corinne A Lutomski, Carol V Robinson

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jack L BennettDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.
Tarick J El-BabaDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-4497-9938
Konstantin C ZouboulisDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3246-219X
Carla KirschbaumDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3192-0785
Haigang SongDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.
Frances I ButroidDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.
Justin L P BeneschDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-1507-3742
Corinne A LutomskiDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK. corinne.lutomski@chem.ox.ac.uk.
Carol V RobinsonDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, UK. carol.robinson@chem.ox.ac.uk.ORCID http://orcid.org/0000-0001-7829-5505

Funding

RCUK | Medical Research Council (MRC) MR/V028839/1Wellcome TrustWellcome Trust (Wellcome) 221795/Z/20/Z
6 · The paper itself

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.

Indexed as

Mass SpectrometryProtein Processing, Post-TranslationalProteinsProteomicsSoftwareCryoelectron MicroscopyGABA Plasma Membrane Transport ProteinsGlycosylationHumansOsteopontinPhosphorylationGABA Plasma Membrane Transport ProteinsOsteopontinProteins

Identifiers

PMID41023435
PMCPMC12510877

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.