Analysis of the human E2 ubiquitin conjugating enzyme protein interaction network

  1. Gabriel Markson1,
  2. Christina Kiel2,
  3. Russell Hyde3,
  4. Stephanie Brown1,
  5. Panagoula Charalabous3,
  6. Anja Bremm4,
  7. Jennifer Semple2,
  8. Jonathan Woodsmith3,
  9. Simon Duley1,
  10. Kourosh Salehi-Ashtiani5,6,
  11. Marc Vidal5,6,
  12. David Komander4,
  13. Luis Serrano2,7,
  14. Paul Lehner1 and
  15. Christopher M. Sanderson3,8
  1. 1 Department of Medicine, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 OXY, United Kingdom;
  2. 2 EMBL-CRG Systems Biology Research Unit and ICREA Centre de Regulacio Genomica, UPF, Barcelona 08003, Spain;
  3. 3 Department of Physiology, School of Biomedical Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom;
  4. 4 MRC Laboratory of Molecular Biology, Protein and Nucleic Acid Chemistry, Cambridge CB2 OQH, United Kingdom;
  5. 5 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA;
  6. 6 Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
  7. 7 EMBL-CRG Systems Biology Research Unit and ICREA, Institució Catalana de Recerca i Estudis Avançats, Barcelona 08003, Spain

    Abstract

    In eukaryotic cells the stability and function of many proteins are regulated by the addition of ubiquitin or ubiquitin-like peptides. This process is dependent upon the sequential action of an E1-activating enzyme, an E2-conjugating enzyme, and an E3 ligase. Different combinations of these proteins confer substrate specificity and the form of protein modification. However, combinatorial preferences within ubiquitination networks remain unclear. In this study, yeast two-hybrid (Y2H) screens were combined with true homology modeling methods to generate a high-density map of human E2/E3-RING interactions. These data include 535 experimentally defined novel E2/E3-RING interactions and >1300 E2/E3-RING pairs with more favorable predicted free-energy values than the canonical UBE2L3–CBL complex. The significance of Y2H predictions was assessed by both mutagenesis and functional assays. Significantly, 74/80 (>92%) of Y2H predicted complexes were disrupted by point mutations that inhibit verified E2/E3-RING interactions, and a ∼93% correlation was observed between Y2H data and the functional activity of E2/E3-RING complexes in vitro. Analysis of the high-density human E2/E3-RING network reveals complex combinatorial interactions and a strong potential for functional redundancy, especially within E2 families that have undergone evolutionary expansion. Finally, a one-step extended human E2/E3-RING network, containing 2644 proteins and 5087 edges, was assembled to provide a resource for future functional investigations.

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