Evidence map›Paper›PMID 41579396›Full record

SynthesisFEBS open bio2026

Meta-analysis fails to show any correlation between protein abundance and ubiquitination changes.

Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor

Abstract readMeta-Analysis
In one paragraph

Synthesis in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Nerea OsinaldeDepartment of Biochemistry and Molecular Biology, Faculty of Pharmacy, UPV/EHU, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-8850-7794
Unai AlduntzinDepartment of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain.ORCID https://orcid.org/0000-0003-1088-6338
Gorka PrietoDepartment of Communications Engineering, University of the Basque Country (UPV/EHU), Bilbao, Spain.ORCID https://orcid.org/0000-0002-6433-8452
Ugo MayorDepartment of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain.ORCID https://orcid.org/0000-0003-2812-8287

Funding

Basque Government: IT1473-22Spanish Ministry of Science, University and Innovation PID2020-117333GB-I00
6 · The paper itself

Abstract

Ubiquitination serves as a key regulatory mechanism in nearly all cellular processes, though it was originally identified as a post-translational modification that targets proteins for degradation. Accordingly, these two molecular events have since been tightly linked, and changes in protein abundance are frequently interpreted as indirect indicators of ubiquitination dynamics. Nevertheless, the relationship between protein abundance and ubiquitination has not been systematically examined across distinct biological systems. Here, we conducted a comprehensive meta-analysis to assess the correlation between protein abundance and ubiquitination levels determined by mass spectrometry in mammals, plants, and yeast. Quantitative proteomics and diGly-ubiquitin peptides data from 19 independent studies encompassing over 50 experimental conditions were analyzed. The findings indicate that alterations in protein abundance cannot reliably be used to infer ubiquitination events - and vice versa - highlighting the need for caution when interpreting proteomic data as a proxy for ubiquitin-mediated regulation.

Indexed as

ProteomicsUbiquitinationAnimalsHumansMass SpectrometryProtein Processing, Post-TranslationalProteomeUbiquitinProteomeUbiquitincorrelationmass spectrometryproteomeubiquitome

Identifiers

PMID41579396
PMCPMC13238665

What OpenQuestion holds

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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 OpenQuestion graph.