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Large-scale analysis of lysine SUMOylation by SUMO remnant immunoaffinity profiling

Author

Listed:
  • Frédéric Lamoliatte

    (Institute for Research in Immunology and Cancer, Université de Montréal
    Université de Montréal)

  • Danielle Caron

    (Institute for Research in Immunology and Cancer, Université de Montréal)

  • Chantal Durette

    (Institute for Research in Immunology and Cancer, Université de Montréal)

  • Louiza Mahrouche

    (Institute for Research in Immunology and Cancer, Université de Montréal
    Université de Montréal)

  • Mohamed Ali Maroui

    (Université Paris Descartes, INSERM UMR-S1124)

  • Olivier Caron-Lizotte

    (Institute for Research in Immunology and Cancer, Université de Montréal)

  • Eric Bonneil

    (Institute for Research in Immunology and Cancer, Université de Montréal)

  • Mounira K. Chelbi-Alix

    (Université Paris Descartes, INSERM UMR-S1124)

  • Pierre Thibault

    (Institute for Research in Immunology and Cancer, Université de Montréal
    Université de Montréal
    Université de Montréal)

Abstract

Small ubiquitin-related modifiers (SUMO) are evolutionarily conserved ubiquitin-like proteins that regulate several cellular processes including cell cycle progression, intracellular trafficking, protein degradation and apoptosis. Despite the importance of protein SUMOylation in different biological pathways, the global identification of acceptor sites in complex cell extracts remains a challenge. Here we generate a monoclonal antibody that enriches for peptides containing SUMO remnant chains following tryptic digestion. We identify 954 SUMO3-modified lysine residues on 538 proteins and profile by quantitative proteomics the dynamic changes of protein SUMOylation following proteasome inhibition. More than 86% of these SUMOylation sites have not been reported previously, including 5 sites on the tumour suppressor parafibromin (CDC73). The modification of CDC73 at K136 affects its nuclear retention within PML nuclear bodies on proteasome inhibition. In contrast, a CDC73 K136R mutant translocates to the cytoplasm under the same conditions, further demonstrating the effectiveness of our method to characterize the dynamics of lysine SUMOylation.

Suggested Citation

  • Frédéric Lamoliatte & Danielle Caron & Chantal Durette & Louiza Mahrouche & Mohamed Ali Maroui & Olivier Caron-Lizotte & Eric Bonneil & Mounira K. Chelbi-Alix & Pierre Thibault, 2014. "Large-scale analysis of lysine SUMOylation by SUMO remnant immunoaffinity profiling," Nature Communications, Nature, vol. 5(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6409
    DOI: 10.1038/ncomms6409
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    Cited by:

    1. Abdollah Dehzangi & Yosvany López & Sunil Pranit Lal & Ghazaleh Taherzadeh & Abdul Sattar & Tatsuhiko Tsunoda & Alok Sharma, 2018. "Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.

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