Evidence map›Paper›PMID 41279051›Full record

ArticlebioRxiv : the preprint server for biology2025

The functional landscape of the human ubiquitinome.

Julian van Gerwen, Maximilian Fottner, Shengbo Wang, Bede Busby, Ellen Boswell, Paul Schnacke, Andrea C Carrano, Malina A Bakowski, Emily R Troemel, Romain Studer and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Julian van GerwenDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, Switzerland.
Maximilian FottnerLaboratory for Organic Chemistry Department of Chemistry and Applied Biosciences, ETH Zurich.
Shengbo WangEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Bede BusbyMinistry for Primary Industries, Biosecurity New Zealand.
Ellen BoswellDepartment of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7BE, U.K.
Paul SchnackeLaboratory for Organic Chemistry Department of Chemistry and Applied Biosciences, ETH Zurich.
Andrea C CarranoUC San Diego, Department of Cell and Developmental Biology.
Malina A BakowskiUC San Diego, Department of Cell and Developmental Biology.
Emily R TroemelUC San Diego, Department of Cell and Developmental Biology.
Romain StuderEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Marta StrumilloEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Maria-Jesus MartinEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
J Wade HarperDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Kathrin LangLaboratory for Organic Chemistry Department of Chemistry and Applied Biosciences, ETH Zurich.
Andrew R JonesDepartment of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7BE, U.K.
Eric J BennettUC San Diego, Department of Cell and Developmental Biology.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Inigo Barrio-HernandezInstituto de Agrobiotecnología, Mutilva Baja, Spain.
Pedro BeltraoDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, Switzerland.ORCID 0000-0002-2724-7703

Funding

Manipulating Protein Homeostasis through Specialized Quality Control RibosomesDP2GM119132 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNETT, ERIC J · 2015 to 2015
$2.3M
Leveraging ubiquitin-dependent regulatory mechanisms to improve proteome quality in health and diseaseR35GM148339 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric J Bennett · 2023 to 2026
$2.1M
Defining the function and mechanism of regulatory ribosomal ubiquitylationR01GM136994 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNETT, ERIC J · 2021 to 2023
$1.1M
NIGMS NIH HHS DP2 GM119132NIGMS NIH HHS R01 GM136994NIGMS NIH HHS R35 GM148339Wellcome Trust
6 · The paper itself

Abstract

Protein ubiquitination regulates cell biology through diverse avenues, from quality control-linked protein degradation to signaling functions such as modulating protein-protein interactions and enzyme activation. Mass spectrometry-based proteomics has allowed proteome-scale quantification of hundreds of thousands of ubiquitination sites (ubi-sites), however the functional importance and regulatory roles of most ubi-sites remain undefined. Here, we assembled a human reference ubiquitinome of 108,341 ubi-sites by harmonizing public proteomics data. We identified a core subset of ubi-sites under evolutionary constraint through alignment of ubiquitin proteomics data from six non-human species, and determined ultra-conserved ubi-sites recurring at regulatory hotspots within protein domains. Perturbation proteomics revealed that these highly conserved ubi-sites are more likely to regulate signaling functions rather than proteasomal degradation. To further prioritize functional ubi-sites with roles in cellular signaling, we constructed a functional score for more than 100,000 ubi-sites by integrating evolutionary, proteomic, and structural features using machine learning. Our score identifies ubi-sites regulating diverse protein functions and rationalizes mechanisms of genetic disease. Finally, we employed chemical genomics to validate the functional relevance of high-scoring ubi-sites and leveraged genetic code expansion to demonstrate that ubiquitination of K320 in the RNA-regulator ELAVL1 disrupts RNA binding. Our work reveals systems-level principles of the ubiquitinome and provides a powerful resource for studying protein ubiquitination.

Identifiers

PMID41279051
PMCPMC12632403

What OpenQuestion holds

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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.