Evidence map›Paper›PMID 39919746›Full record

ArticleMolecular cell2025

Combinatorial mapping of E3 ubiquitin ligases to their target substrates.

Chase C Suiter, Diego Calderon, David S Lee, Melodie Chiu, Shruti Jain, Florence M Chardon, Choli Lee, Riza M Daza, Cole Trapnell, Ning Zheng and 1 more

Abstract read
In one paragraph

Article in Molecular cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  11. Cul5bioRxiv : the preprint server for biology · 2025
    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.

Chase C SuiterMolecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Hub for Synthetic Biology, Seattle, WA 98195, USA. Electronic address: ccsuiter@uw.edu.
Diego CalderonDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
David S LeeDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Melodie ChiuDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Shruti JainDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Florence M ChardonDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Hub for Synthetic Biology, Seattle, WA 98195, USA.
Choli LeeDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Riza M DazaDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Hub for Synthetic Biology, Seattle, WA 98195, USA.
Cole TrapnellDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Hub for Synthetic Biology, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA.
Ning ZhengDepartment of Pharmacology, University of Washington, Seattle, WA 98195, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA.
Jay ShendureMolecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Hub for Synthetic Biology, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA. Electronic address: shendure@uw.edu.

Funding

CARDIOVASCULAR RESEARCH TRAINING PROGRAMT32HL007828 · NHLBI · UNIVERSITY OF WASHINGTON · PI Francis Kim, Farid Moussavi-Harami · 1997 to 2026
$10.2M
Versatile, exponentially scalable methods for single cell molecular profilingR01HG010632 · NHGRI · UNIVERSITY OF WASHINGTON · PI Jay Ashok Shendure, Bruce Colston Trapnell · 2019 to 2026
$5.9M
Training in Cellular & Molecular BiologyT32GM136534 · NIGMS · UNIVERSITY OF WASHINGTON · PI Andrew Atwell Oberst, LARRY S ZWEIFEL · 2021 to 2026
$5.8M
Comprehensive identification of E3 ubiquitin ligases that degrade heart, lung, and blood-relevant transcription factorsF31HL168982 · NHLBI · UNIVERSITY OF WASHINGTON · PI SUITER, CHASE CAMERON · 2023 to 2024
$86k
Characterizing the comprehensive gene regulatory basis of autoimmunity.F32HG011817 · NHGRI · UNIVERSITY OF WASHINGTON · PI CALDERON, DIEGO · 2021 to 2021
$64k
Howard Hughes Medical InstituteNHGRI NIH HHS F32 HG011817NHGRI NIH HHS R01 HG010632NHLBI NIH HHS F31 HL168982NHLBI NIH HHS T32 HL007828NIGMS NIH HHS T32 GM136534
6 · The paper itself

Abstract

E3 ubiquitin ligases (E3s) confer specificity of protein degradation through ubiquitination of substrate proteins. Yet, the vast majority of the >600 human E3s have no known substrates. To identify proteolytic E3-substrate pairs at scale, we developed combinatorial mapping of E3 targets (COMET), a framework for testing the role of many E3s in degrading many candidate substrates within a single experiment. We applied COMET to SCF ubiquitin ligase subunits that mediate degradation of target substrates (6,716 F-box-ORF [open reading frame] combinations) and E3s that degrade short-lived transcription factors (TFs) (26,028 E3-TF combinations). Our data suggest that many E3-substrate relationships are complex rather than 1:1 associations. Finally, we leverage deep learning to predict the structural basis of E3-substrate interactions and probe the strengths and limits of such models. Looking forward, we consider the practicality of transposing this framework, i.e., computational structural prediction of all possible E3-substrate interactions, followed by multiplex experimental validation.

Indexed as

SKP Cullin F-Box Protein LigasesUbiquitin-Protein LigasesDeep LearningHumansProtein BindingProteolysisSubstrate SpecificityTranscription FactorsUbiquitinationSKP Cullin F-Box Protein LigasesTranscription FactorsUbiquitin-Protein Ligasesbenchmarkingdeep learninghigh-throughput screeningmachine learningproteolysisstructure predictionubiquitinubiquitin ligases

Identifiers

PMID39919746
PMCPMC11845296

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.