Evidence map›Paper›PMID 41723106›Full record

ArticleNature communications2026

High-throughput chemical proteomics workflow for profiling protein citrullination dynamics.

Rebecca Meelker González, Sophia Laposchan, Erik Riedel, Anna Fürst, Naomi O'Sullivan, Wassim Gabriel, Mathias Wilhelm, Percy A Knolle, Guillaume Médard, Bernhard Kuster and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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. Article
  2. 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

11 authors.

Rebecca Meelker GonzálezYoung Investigator Group: Mass Spectrometry in Systems Neurosciences, School of Life Sciences, Technical University of Munich, Freising, Germany.
Sophia LaposchanYoung Investigator Group: Mass Spectrometry in Systems Neurosciences, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-0492-840X
Erik RiedelYoung Investigator Group: Mass Spectrometry in Systems Neurosciences, School of Life Sciences, Technical University of Munich, Freising, Germany.
Anna FürstInstitute of Molecular Immunology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Naomi O'SullivanChair of Proteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0009-0007-4594-0222
Wassim GabrielComputational Mass Spectrometry, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0001-6440-9794
Mathias WilhelmComputational Mass Spectrometry, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-9224-3258
Percy A KnolleInstitute of Molecular Immunology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-2983-0414
Guillaume MédardProteomics Core Facility, School of Science, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-4782-4029
Bernhard KusterChair of Proteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-9094-1677
Chien-Yun LeeYoung Investigator Group: Mass Spectrometry in Systems Neurosciences, School of Life Sciences, Technical University of Munich, Freising, Germany. chienyun.lee@tum.de.ORCID 0000-0001-7697-6374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Citrullination is a post-translational modification implicated in autoimmune and inflammatory diseases, yet its low abundance and lack of effective enrichment tools have limited proteome-wide analysis. Here, we develop a robust chemical proteomics workflow with improved specificity and throughput. This method builds upon glyoxal-based derivatization and incorporates a cleavable biotin linker for efficient peptide enrichment, release, and identification via mass spectrometry. Benchmarking demonstrates a > 10-fold increase in the detection of citrullinated peptides at sub-0.1% abundance. Applying this workflow to primary human neutrophils, we successfully monitor dynamic regulation, quantifying dose-dependent activation and inhibition by the PAD4 inhibitor GSK484. Furthermore, stimulation with the fungal pathogen Candida albicans reveals a "core citrullinome" conserved across distinct stimuli. Notably, extensive citrullination of linker histone H1 and structural proteins like lamin B1 suggests broad remodeling of cell architecture during NET formation. This workflow enables proteome-wide mapping of citrullination sites and facilitates its study across diverse biological contexts.

Indexed as

CitrullinationProteomicsCandida albicansCitrullineHigh-Throughput Screening AssaysHistonesHumansNeutrophilsOrnithineProtein-Arginine Deiminase Type 4Protein Processing, Post-TranslationalProteomeWorkflowCitrullineHistonesN-alpha-benzoyl-N5-(2-chloro-1-iminoethyl)-L-ornithine amideOrnithineProtein-Arginine Deiminase Type 4Proteome

Identifiers

PMID41723106
PMCPMC12932703

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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.