The E3-ome gene-centric compendium reveals the human E3 ligase landscape

E3 ubiquitin ligase
Biobank
Gene/variant-phenotype associations
Authors

Ngee Kiat Chua

Tania J González-Robles

Cameron J Reddington

Jane Dudley-Fraser

Richard W Birkinshaw

Jiru Han

Ashleigh Solano

Soon Wei Wong

Tomasz Kochańczyk

Joshua J Peter

Mark A Nakasone

Florian Aust

Jacob Munro

Yeh Huei Tong

Julie Iskander

Waruni Abeysekera

Alex Garnham

Hannah Huckstep

Matthew E Ritchie

Ingrid Wertz

Sarah Hymowitz

Sharad Kumar

Ron C Conaway

Gilbert G Privé

Alex N Bullock

Jeffrey J Babon

Rachel E Klevit

Sonja Lorenz

Alessio Ciulli

Eric S Fischer

Nicolas H Thomä

Radosław P Nowak

Brenda A Schulman

Michael Rapé

Katrin Rittinger

Julia K Pagan

Melanie Bahlo

Joel P Mackay

Peter D Mace

Christopher D Lima

Ronald T Hay

David Komander

Bernhard C Lechtenberg

Claudio A P Joazeiro

Michele Pagano

Kay Hofmann

Rebecca Feltham

Date

April 2, 2026

Links
DOI
Citation stats
Abstract

To define and systematically characterize the human E3 ubiquitin ligase (E3) landscape, we generated the E3-ome, a compendium of E3s encoded by the human genome. The E3-ome integrates experimental data, bioinformatics, and published research, revealing 672 high-confidence E3s. We standardized E3 classifications to create a unified framework for annotation and comparative analysis. The E3-ome identified several previously unrecognized domains, motifs, E3 candidates, and relationships, expanding the diversity of E3s. Furthermore, the E3-ome mapped the spatial and physiological organization of E3s across human tissues and cell types, revealing context-dependent E3s. Genetic analyses identified disease-associated variants across the E3-ome, linking E3s to diverse human pathologies. Together, these analyses define the human E3 landscape at high resolution and deliver a foundational resource to drive mechanistic and therapeutic discovery.

Citation

BibTeX citation:
@article{kiat_chua2026,
  author = {Kiat Chua, Ngee and J González-Robles, Tania and J
    Reddington, Cameron and Dudley-Fraser, Jane and W Birkinshaw,
    Richard and Han, Jiru and Solano, Ashleigh and Wei Wong, Soon and
    Kochańczyk, Tomasz and J Peter, Joshua and A Nakasone, Mark and
    Aust, Florian and Munro, Jacob and Huei Tong, Yeh and Iskander,
    Julie and Abeysekera, Waruni and Garnham, Alex and Huckstep, Hannah
    and E Ritchie, Matthew and Wertz, Ingrid and Hymowitz, Sarah and
    Kumar, Sharad and C Conaway, Ron and G Privé, Gilbert and N Bullock,
    Alex and J Babon, Jeffrey and E Klevit, Rachel and Lorenz, Sonja and
    Ciulli, Alessio and S Fischer, Eric and H Thomä, Nicolas and P
    Nowak, Radosław and A Schulman, Brenda and Rapé, Michael and
    Rittinger, Katrin and K Pagan, Julia and Bahlo, Melanie and P
    Mackay, Joel and D Mace, Peter and D Lima, Christopher and T Hay,
    Ronald and Komander, David and C Lechtenberg, Bernhard and A P
    Joazeiro, Claudio and Pagano, Michele and Hofmann, Kay and Feltham,
    Rebecca},
  title = {The {E3-ome} Gene-Centric Compendium Reveals the Human {E3}
    Ligase Landscape},
  journal = {Cell},
  volume = {189},
  number = {7},
  date = {2026-04-02},
  url = {https://doi.org/10.1016/j.cell.2026.01.029},
  doi = {10.1016/j.cell.2026.01.029},
  langid = {en},
  abstract = {To define and systematically characterize the human E3
    ubiquitin ligase (E3) landscape, we generated the E3-ome, a
    compendium of E3s encoded by the human genome. The E3-ome integrates
    experimental data, bioinformatics, and published research, revealing
    672 high-confidence E3s. We standardized E3 classifications to
    create a unified framework for annotation and comparative analysis.
    The E3-ome identified several previously unrecognized domains,
    motifs, E3 candidates, and relationships, expanding the diversity of
    E3s. Furthermore, the E3-ome mapped the spatial and physiological
    organization of E3s across human tissues and cell types, revealing
    context-dependent E3s. Genetic analyses identified
    disease-associated variants across the E3-ome, linking E3s to
    diverse human pathologies. Together, these analyses define the human
    E3 landscape at high resolution and deliver a foundational resource
    to drive mechanistic and therapeutic discovery.}
}
For attribution, please cite this work as:
Kiat Chua, Ngee, Tania J González-Robles, Cameron J Reddington, et al. 2026. “The E3-Ome Gene-Centric Compendium Reveals the Human E3 Ligase Landscape.” Cell 189 (7). https://doi.org/10.1016/j.cell.2026.01.029.