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Synapse
March 24, 2026Cell14 citationsOpen Access

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

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NCNgee Kiat ChuaTGTania J. González-RoblesCRCameron J. Reddington

Key Points

  • This research aims to systematically characterize the human E3 ubiquitin ligase landscape.
  • Generated the E3-ome compendium of E3 ligases from the human genome.
  • Integrated experimental data and bioinformatics for analysis.
  • Created a standardized classification system for E3s.
  • Mapped E3 distribution across different human tissues and cell types.
  • Identified genetic variants associated with diseases linked to E3s.
  • Identified 672 high-confidence E3 ligases in the human genome.
  • Expanded knowledge by recognizing new E3 domains and motifs.
  • Revealed context-dependent expressions of E3s across tissues.
  • Linked specific E3s to various human pathologies.

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.

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Cite This Study

Chua et al. (2026) studied this question.

synapsesocial.com/papers/69c2294caeb5a845df0d3834https://doi.org/10.1016/j.cell.2026.01.029
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