Evidence map›Paper›PMID 39779715›Full record

ArticleNature communications2025

PTMNavigator: interactive visualization of differentially regulated post-translational modifications in cellular signaling pathways.

Julian Müller, Florian P Bayer, Mathias Wilhelm, Maximilian G Schuh, Bernhard Kuster, Matthew The

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Post-Translational Regulation of CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
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

6 authors.

Julian MüllerProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0003-4108-7926
Florian P BayerProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.
Mathias WilhelmComputational Mass Spectrometry, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-9224-3258
Maximilian G SchuhProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0009-0008-2415-8810
Bernhard KusterProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-9094-1677
Matthew TheProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany. matthew.the@tum.de.ORCID http://orcid.org/0000-0002-5401-5553

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) FKZ 031L0168Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) FKZ 031L0305AEC | Cordis (Community Research and Development Information Service) ERC Advanced Grant No. 833710
6 · The paper itself

Abstract

Post-translational modifications (PTMs) play pivotal roles in regulating cellular signaling, fine-tuning protein function, and orchestrating complex biological processes. Despite their importance, the lack of comprehensive tools for studying PTMs from a pathway-centric perspective has limited our ability to understand how PTMs modulate cellular pathways on a molecular level. Here, we present PTMNavigator, a tool integrated into the ProteomicsDB platform that offers an interactive interface for researchers to overlay experimental PTM data with pathway diagrams. PTMNavigator provides ~3000 canonical pathways from manually curated databases, enabling users to modify and create custom diagrams tailored to their data. Additionally, PTMNavigator automatically runs kinase and pathway enrichment algorithms whose results are directly integrated into the visualization. This offers a comprehensive view of the intricate relationship between PTMs and signaling pathways. We demonstrate the utility of PTMNavigator by applying it to two phosphoproteomics datasets, showing how it can enhance pathway enrichment analysis, visualize how drug treatments result in a discernable flow of PTM-driven signaling, and aid in proposing extensions to existing pathways. By enhancing our understanding of cellular signaling dynamics and facilitating the discovery of PTM-pathway interactions, PTMNavigator advances our knowledge of PTM biology and its implications in health and disease.

Indexed as

Protein Processing, Post-TranslationalProteomicsSignal TransductionSoftwareAlgorithmsDatabases, ProteinHumansPhosphorylationUser-Computer Interface

Identifiers

PMID39779715
PMCPMC11711753

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.