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Protein thermal sensing regulates physiological amyloid aggregation

Author

Listed:
  • Dane Marijan

    (Simon Fraser University
    Simon Fraser University)

  • Evgenia A. Momchilova

    (Simon Fraser University
    Simon Fraser University)

  • Daniel Burns

    (Iowa State University)

  • Sahil Chandhok

    (Simon Fraser University
    Simon Fraser University)

  • Richard Zapf

    (Simon Fraser University
    Simon Fraser University)

  • Holger Wille

    (University of Alberta
    University of Alberta
    University of Alberta)

  • Davit A. Potoyan

    (Iowa State University
    Iowa State University)

  • Timothy E. Audas

    (Simon Fraser University
    Simon Fraser University)

Abstract

To survive, cells must respond to changing environmental conditions. One way that eukaryotic cells react to harsh stimuli is by forming physiological, RNA-seeded subnuclear condensates, termed amyloid bodies (A-bodies). The molecular constituents of A-bodies induced by different stressors vary significantly, suggesting this pathway can tailor the cellular response by selectively aggregating a subset of proteins under a given condition. Here, we identify critical structural elements that regulate heat shock-specific amyloid aggregation. Our data demonstrates that manipulating structural pockets in constituent proteins can either induce or restrict their A-body targeting at elevated temperatures. We propose a model where selective aggregation within A-bodies is mediated by the thermal stability of a protein, with temperature-sensitive structural regions acting as an intrinsic form of post-translational regulation. This system would provide cells with a rapid and stress-specific response mechanism, to tightly control physiological amyloid aggregation or other cellular stress response pathways.

Suggested Citation

  • Dane Marijan & Evgenia A. Momchilova & Daniel Burns & Sahil Chandhok & Richard Zapf & Holger Wille & Davit A. Potoyan & Timothy E. Audas, 2024. "Protein thermal sensing regulates physiological amyloid aggregation," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45536-0
    DOI: 10.1038/s41467-024-45536-0
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    References listed on IDEAS

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    1. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
    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. Fernando Muzzopappa & Johan Hummert & Michela Anfossi & Stanimir Asenov Tashev & Dirk-Peter Herten & Fabian Erdel, 2022. "Detecting and quantifying liquid–liquid phase separation in living cells by model-free calibrated half-bleaching," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
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