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Master corepressor inactivation through multivalent SLiM-induced polymerization mediated by the oncogene suppressor RAI2

Author

Listed:
  • Nishit Goradia

    (Hamburg Unit)

  • Stefan Werner

    (University Cancer Center Hamburg
    Mildred Scheel Cancer Career Center HaTriCS4)

  • Edukondalu Mullapudi

    (Hamburg Unit)

  • Sarah Greimeier

    (University Cancer Center Hamburg)

  • Lina Bergmann

    (University Cancer Center Hamburg)

  • Andras Lang

    (Fritz-Lipmann-Institute)

  • Haydyn Mertens

    (Hamburg Unit)

  • Aleksandra Węglarz

    (University Cancer Center Hamburg)

  • Simon Sander

    (University Cancer Center Hamburg)

  • Grzegorz Chojnowski

    (Hamburg Unit)

  • Harriet Wikman

    (University Cancer Center Hamburg)

  • Oliver Ohlenschläger

    (Fritz-Lipmann-Institute)

  • Gunhild Amsberg

    (Martini Clinic
    University Medical Center Hamburg-Eppendorf)

  • Klaus Pantel

    (University Cancer Center Hamburg)

  • Matthias Wilmanns

    (Hamburg Unit
    University Medical Center Hamburg-Eppendorf)

Abstract

While the elucidation of regulatory mechanisms of folded proteins is facilitated due to their amenability to high-resolution structural characterization, investigation of these mechanisms in disordered proteins is more challenging due to their structural heterogeneity, which can be captured by a variety of biophysical approaches. Here, we used the transcriptional master corepressor CtBP, which binds the putative metastasis suppressor RAI2 through repetitive SLiMs, as a model system. Using cryo-electron microscopy embedded in an integrative structural biology approach, we show that RAI2 unexpectedly induces CtBP polymerization through filaments of stacked tetrameric CtBP layers. These filaments lead to RAI2-mediated CtBP nuclear foci and relieve its corepressor function in RAI2-expressing cancer cells. The impact of RAI2-mediated CtBP loss-of-function is illustrated by the analysis of a diverse cohort of prostate cancer patients, which reveals a substantial decrease in RAI2 in advanced treatment-resistant cancer subtypes. As RAI2-like SLiM motifs are found in a wide range of organisms, including pathogenic viruses, our findings serve as a paradigm for diverse functional effects through multivalent interaction-mediated polymerization by disordered proteins in healthy and diseased conditions.

Suggested Citation

  • Nishit Goradia & Stefan Werner & Edukondalu Mullapudi & Sarah Greimeier & Lina Bergmann & Andras Lang & Haydyn Mertens & Aleksandra Węglarz & Simon Sander & Grzegorz Chojnowski & Harriet Wikman & Oliv, 2024. "Master corepressor inactivation through multivalent SLiM-induced polymerization mediated by the oncogene suppressor RAI2," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49488-3
    DOI: 10.1038/s41467-024-49488-3
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    References listed on IDEAS

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    1. Sooryanarayana Varambally & Saravana M. Dhanasekaran & Ming Zhou & Terrence R. Barrette & Chandan Kumar-Sinha & Martin G. Sanda & Debashis Ghosh & Kenneth J. Pienta & Richard G. A. B. Sewalt & Arie P., 2002. "The polycomb group protein EZH2 is involved in progression of prostate cancer," Nature, Nature, vol. 419(6907), pages 624-629, October.
    2. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    3. Motohiro Sekiya & Kenta Kainoh & Takehito Sugasawa & Ryunosuke Yoshino & Takatsugu Hirokawa & Hiroaki Tokiwa & Shogo Nakano & Satoru Nagatoishi & Kouhei Tsumoto & Yoshinori Takeuchi & Takafumi Miyamot, 2021. "The transcriptional corepressor CtBP2 serves as a metabolite sensor orchestrating hepatic glucose and lipid homeostasis," Nature Communications, Nature, vol. 12(1), pages 1-19, December.
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