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Single-molecule evidence of Entropic Pulling by Hsp70 chaperones

Author

Listed:
  • Verena Rukes

    (University of Geneva
    École Polytechnique Fédérale de Lausanne - EPFL)

  • Mathieu E. Rebeaud

    (École Polytechnique Fédérale de Lausanne - EPFL)

  • Louis W. Perrin

    (University of Geneva)

  • Paolo De Los Rios

    (École Polytechnique Fédérale de Lausanne - EPFL
    École Polytechnique Fédérale de Lausanne - EPFL)

  • Chan Cao

    (University of Geneva)

Abstract

Hsp70 chaperones are central components of the cellular network that ensures the structural quality of proteins. Despite crucial roles in processes such as protein disaggregation and protein translocation into organelles, their physical mechanism of action has remained hotly debated. To the best of our knowledge, no experimental data has directly proven any of the models proposed to date (Power Stroke, Brownian Ratchet, or Entropic Pulling) due to a lack of suitable methods. Here, we use nanopores, a powerful single-molecule tool, to investigate the mechanism of Hsp70s. We demonstrate that Hsp70s extract trapped polypeptide substrates from the nanopore by generating strong forces (equivalent to 46 pN over distances of 1 nm), that rely on the size of Hsp70. The findings provide unambiguous evidence of the Entropic Pulling mechanism, thus solving a long-standing debate, and proposing a potentially universal principle governing diverse cellular processes. Additionally, these results highlight the utility of biological nanopores for protein studies.

Suggested Citation

  • Verena Rukes & Mathieu E. Rebeaud & Louis W. Perrin & Paolo De Los Rios & Chan Cao, 2024. "Single-molecule evidence of Entropic Pulling by Hsp70 chaperones," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52674-y
    DOI: 10.1038/s41467-024-52674-y
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    References listed on IDEAS

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    1. Douglas E. Smith & Sander J. Tans & Steven B. Smith & Shelley Grimes & Dwight L. Anderson & Carlos Bustamante, 2001. "The bacteriophage φ29 portal motor can package DNA against a large internal force," Nature, Nature, vol. 413(6857), pages 748-752, October.
    2. 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.
    3. Anne S. Wentink & Nadinath B. Nillegoda & Jennifer Feufel & Gabrielė Ubartaitė & Carolyn P. Schneider & Paolo De Los Rios & Janosch Hennig & Alessandro Barducci & Bernd Bukau, 2020. "Molecular dissection of amyloid disaggregation by human HSP70," Nature, Nature, vol. 587(7834), pages 483-488, November.
    4. F. Ulrich Hartl & Andreas Bracher & Manajit Hayer-Hartl, 2011. "Molecular chaperones in protein folding and proteostasis," Nature, Nature, vol. 475(7356), pages 324-332, July.
    5. 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.
    6. Rahmi Imamoglu & David Balchin & Manajit Hayer-Hartl & F. Ulrich Hartl, 2020. "Bacterial Hsp70 resolves misfolded states and accelerates productive folding of a multi-domain protein," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    7. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
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