Evidence map›Paper›PMID 35013197›Full record

ArticleNature communications2022

Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling.

Jana Zecha, Wassim Gabriel, Ria Spallek, Yun-Chien Chang, Julia Mergner, Mathias Wilhelm, Florian Bassermann, Bernhard Kuster

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Age-based approach to characterize the dynamics of cellular processes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. The functional landscape of the human ubiquitinome.bioRxiv : the preprint server for biology · 2025
    Article
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  11. Article
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  15. Article
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  18. Article
  19. Posttranslational Modifications ofPharmacological reviews · 2024
    Review
  20. 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

8 authors.

Jana ZechaChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0002-8767-6294
Wassim GabrielChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0001-6440-9794
Ria SpallekDepartment of Medicine III, Klinikum rechts der Isar, TUM, Munich, Germany.ORCID http://orcid.org/0000-0002-1035-3606
Yun-Chien ChangChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Julia MergnerChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0002-4332-1280
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0002-9224-3258
Florian BassermannGerman Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. kuster@tum.de.ORCID http://orcid.org/0000-0002-9094-1677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labeling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated, and ubiquitinated peptides for >9,000 native proteins. This site-resolved protein turnover (SPOT) profiling discloses global and site-specific differences in turnover associated with the presence or absence of PTMs. While causal relationships may not always be immediately apparent, we speculate that PTMs with diverging turnover may distinguish states of differential protein stability, structure, localization, enzymatic activity, or protein-protein interactions. We show examples of how the turnover data may give insights into unknown functions of PTMs and provide a freely accessible online tool that allows interrogation and visualisation of all turnover data. The SPOT methodology is applicable to many cell types and modifications, offering the potential to prioritize PTMs for future functional investigations.

Indexed as

Protein Processing, Post-TranslationalSoftwareAcetylationB-LymphocytesCell Line, TumorHalf-LifeHeLa CellsHumansPhosphorylationProtein BindingProtein Interaction MappingProteinsProtein StabilityProteolysisProteomeProteomicsProteinsProteome

Identifiers

PMID35013197
PMCPMC8748498

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.