Evidence map›Paper›PMID 41951141›Full record

ArticleMolecular & cellular proteomics : MCP2026

Expanding the Global Map of Protein Post-Translational Modifications With Immunoaffinity Enrichment and nDIA Analysis on the Orbitrap Astral Mass Spectrometer.

Mukesh Kumar, Anthony P Possemato, Barry M Zee, Srikanth Subramanian, Jian Min Ren, Alissa J Nelson, Bin Zhang, Sean D Landry, Jeffrey C Silva, Brett Larsen and 3 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Enrichment-free deep proteomics enables proteome-scale analysis of methionine oxidation.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  2. Atlas of lysine acetylation in the mouse.bioRxiv : the preprint server for biology · 2026
    Article
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

13 authors.

Mukesh KumarCell Signaling Technology Inc, Danvers, Massachusetts, USA. Electronic address: mukesh.kumar@cellsignal.com.
Anthony P PossematoCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Barry M ZeeCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Srikanth SubramanianCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Jian Min RenCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Alissa J NelsonCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Bin ZhangCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Sean D LandryCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Jeffrey C SilvaCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Brett LarsenThermo Fisher Scientific, Mississauga, Ontario, Canada.
Tonya Pekar HartThermo Fisher Scientific, San Jose, California, USA.
Matthew P StokesCell Signaling Technology Inc, Danvers, Massachusetts, USA.
Sean A BeausoleilCell Signaling Technology Inc, Danvers, Massachusetts, USA. Electronic address: sean.beausoleil@cellsignal.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational modifications (PTMs) contribute greatly to the diversity of the human proteome by affecting protein structure, function, interactions, stability, localization, and more. The study of PTMs is essential to understand various cellular functions, disease mechanisms, and aid in the development of biomarkers and design of therapeutic targets. Owing to their diversity, dynamic nature, and low stoichiometry compared to unmodified proteome counterparts, the analysis of PTMs remains challenging. In this study, immunoaffinity enrichment of PTM peptides was combined with analysis using data dependent acquisition and narrow window Data Independent Acquisition (nDIA) on the Orbitrap Astral Mass Spectrometer (Orbitrap Astral MS) as well as comparative analysis using the Orbitrap Fusion Lumos Mass Spectrometer (Orbitrap Fusion Lumos MS) for ubiquitination, phosphorylation, acetylation, succinylation, and methylation. Human cell lines and mouse tissue samples at various input peptide amounts were immuno-enriched and mass spectrometry data was acquired on both instruments to assess depth of coverage and number of novel sites identified. The study identified a total of 106152 unique ubiquitin sites, 64397 phosphorylation sites (43721 phosphoserine, 8414 phosphothreonine and 12262 phosphotyrosine), 14245 acetylation, 5272 succinylation and 1461 mono-methylation sites. In half the acquisition time, nDIA analysis of immuno-enriched samples on Orbitrap Astral MS provided much greater depth of coverage for all PTMs compared to data dependent acquisition analysis on Orbitrap Fusion Lumos MS, with up to 33-fold more PTM peptides identified and quantified. Overall, the data presented in this study demonstrates the need for enrichment for PTM detection and the utility of combining antibody-based peptide capture and nDIA analysis on the Orbitrap Astral MS as powerful tools for discovery and profiling of protein post-translational modifications in cells and tissues.

Indexed as

Mass SpectrometryProtein Processing, Post-TranslationalProteomicsAcetylationAmino Acid SequenceAnimalsHEK293 CellsHumansMethylationMicePhosphorylationProteomeUbiquitinationProteomeacetylationhuman cells and mouse tissueimmunoaffinity enrichmentmono-methylationnDIAorbitrap astralphosphoserinephosphothreoninephosphotyrosinesuccinylationubiquitination

Identifiers

PMID41951141
PMCPMC13213784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.