IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38962-z.html
   My bibliography  Save this article

How soluble misfolded proteins bypass chaperones at the molecular level

Author

Listed:
  • Ritaban Halder

    (Pennsylvania State University)

  • Daniel A. Nissley

    (Pennsylvania State University
    University of Oxford)

  • Ian Sitarik

    (Pennsylvania State University)

  • Yang Jiang

    (Pennsylvania State University)

  • Yiyun Rao

    (Pennsylvania State University)

  • Quyen V. Vu

    (Polish Academy of Sciences; Al. Lotnikow 32/46)

  • Mai Suan Li

    (Polish Academy of Sciences; Al. Lotnikow 32/46
    Tan Chanh Hiep Ward)

  • Justin Pritchard

    (Pennsylvania State University
    Pennsylvania State University)

  • Edward P. O’Brien

    (Pennsylvania State University
    Pennsylvania State University
    Pennsylvania State University)

Abstract

Subpopulations of soluble, misfolded proteins can bypass chaperones within cells. The extent of this phenomenon and how it happens at the molecular level are unknown. Through a meta-analysis of the experimental literature we find that in all quantitative protein refolding studies there is always a subpopulation of soluble but misfolded protein that does not fold in the presence of one or more chaperones, and can take days or longer to do so. Thus, some misfolded subpopulations commonly bypass chaperones. Using multi-scale simulation models we observe that the misfolded structures that bypass various chaperones can do so because their structures are highly native like, leading to a situation where chaperones do not distinguish between the folded and near-native-misfolded states. More broadly, these results provide a mechanism by which long-time scale changes in protein structure and function can persist in cells because some misfolded states can bypass components of the proteostasis machinery.

Suggested Citation

  • Ritaban Halder & Daniel A. Nissley & Ian Sitarik & Yang Jiang & Yiyun Rao & Quyen V. Vu & Mai Suan Li & Justin Pritchard & Edward P. O’Brien, 2023. "How soluble misfolded proteins bypass chaperones at the molecular level," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38962-z
    DOI: 10.1038/s41467-023-38962-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38962-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38962-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter Eastman & Jason Swails & John D Chodera & Robert T McGibbon & Yutong Zhao & Kyle A Beauchamp & Lee-Ping Wang & Andrew C Simmonett & Matthew P Harrigan & Chaya D Stern & Rafal P Wiewiora & Bernar, 2017. "OpenMM 7: Rapid development of high performance algorithms for molecular dynamics," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-17, July.
    2. Jeremy Weaver & Mengqiu Jiang & Andrew Roth & Jason Puchalla & Junjie Zhang & Hays S. Rye, 2017. "GroEL actively stimulates folding of the endogenous substrate protein PepQ," Nature Communications, Nature, vol. 8(1), pages 1-15, August.
    3. Mian Zhou & Jinhu Guo & Joonseok Cha & Michael Chae & She Chen & Jose M. Barral & Matthew S. Sachs & Yi Liu, 2013. "Non-optimal codon usage affects expression, structure and function of clock protein FRQ," Nature, Nature, vol. 495(7439), pages 111-115, March.
    4. Susanna Röblitz & Marcus Weber, 2013. "Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(2), pages 147-179, June.
    5. 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.
    6. Daniel A. Nissley & Yang Jiang & Fabio Trovato & Ian Sitarik & Karthik B. Narayan & Philip To & Yingzi Xia & Stephen D. Fried & Edward P. O’Brien, 2022. "Universal protein misfolding intermediates can bypass the proteostasis network and remain soluble and less functional," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel A. Nissley & Yang Jiang & Fabio Trovato & Ian Sitarik & Karthik B. Narayan & Philip To & Yingzi Xia & Stephen D. Fried & Edward P. O’Brien, 2022. "Universal protein misfolding intermediates can bypass the proteostasis network and remain soluble and less functional," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    2. Kalyan S. Chakrabarti & Simon Olsson & Supriya Pratihar & Karin Giller & Kerstin Overkamp & Ko On Lee & Vytautas Gapsys & Kyoung-Seok Ryu & Bert L. Groot & Frank Noé & Stefan Becker & Donghan Lee & Th, 2022. "A litmus test for classifying recognition mechanisms of transiently binding proteins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Janni Harju & Muriel C. F. Teeseling & Chase P. Broedersz, 2024. "Loop-extruders alter bacterial chromosome topology to direct entropic forces for segregation," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    4. Ravi Kumar Verma & Ara M Abramyan & Mayako Michino & R Benjamin Free & David R Sibley & Jonathan A Javitch & J Robert Lane & Lei Shi, 2018. "The E2.65A mutation disrupts dynamic binding poses of SB269652 at the dopamine D2 and D3 receptors," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-18, January.
    5. Christian Hentrich & Mateusz Putyrski & Hanh Hanuschka & Waldemar Preis & Sarah-Jane Kellmann & Melissa Wich & Manuel Cavada & Sarah Hanselka & Victor S. Lelyveld & Francisco Ylera, 2024. "Engineered reversible inhibition of SpyCatcher reactivity enables rapid generation of bispecific antibodies," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Tom Dixon & Derek MacPherson & Barmak Mostofian & Taras Dauzhenka & Samuel Lotz & Dwight McGee & Sharon Shechter & Utsab R. Shrestha & Rafal Wiewiora & Zachary A. McDargh & Fen Pei & Rajat Pal & João , 2022. "Predicting the structural basis of targeted protein degradation by integrating molecular dynamics simulations with structural mass spectrometry," Nature Communications, Nature, vol. 13(1), pages 1-24, December.
    7. Joseph G. Beton & Thomas Mulvaney & Tristan Cragnolini & Maya Topf, 2024. "Cryo-EM structure and B-factor refinement with ensemble representation," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    8. Andreas Mardt & Tim Hempel & Cecilia Clementi & Frank Noé, 2022. "Deep learning to decompose macromolecules into independent Markovian domains," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Kevin Wu & Thomas C. Minshull & Sheena E. Radford & Antonio N. Calabrese & James C. A. Bardwell, 2022. "Trigger factor both holds and folds its client proteins," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    10. Meaghan S. Jankowski & Daniel Griffith & Divya G. Shastry & Jacqueline F. Pelham & Garrett M. Ginell & Joshua Thomas & Pankaj Karande & Alex S. Holehouse & Jennifer M. Hurley, 2024. "Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    11. Cheng Shen & Yuqing Zhang & Wenwen Cui & Yimeng Zhao & Danqi Sheng & Xinyu Teng & Miaoqing Shao & Muneyoshi Ichikawa & Jin Wang & Motoyuki Hattori, 2023. "Structural insights into the allosteric inhibition of P2X4 receptors," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    12. Re’em Moskovitz & Tossapol Pholcharee & Sophia M. DonVito & Bora Guloglu & Edward Lowe & Franziska Mohring & Robert W. Moon & Matthew K. Higgins, 2023. "Structural basis for DARC binding in reticulocyte invasion by Plasmodium vivax," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    13. Wei He & Xinming Li & Hongjuan Xue & Yuanyuan Yang & Jun Mencius & Ling Bai & Jiayin Zhang & Jianhe Xu & Bin Wu & Yi Xue & Shu Quan, 2022. "Insights into the client protein release mechanism of the ATP-independent chaperone Spy," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    14. David P. McDonogh & Julian D. Gale & Paolo Raiteri & Denis Gebauer, 2024. "Redefined ion association constants have consequences for calcium phosphate nucleation and biomineralization," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    15. Rajat Chaudhary & Subhash Chand & Bharath Kumar Alam & Prashant Yadav & Vijay Kamal Meena & Manoj Kumar Patel & Priya Pardeshi & Sanjay Singh Rathore & Yashpal Taak & Navinder Saini & Devendra Kumar Y, 2022. "Codon Usage Bias for Fatty Acid Genes FAE1 and FAD2 in Oilseed Brassica Species," Sustainability, MDPI, vol. 14(17), pages 1-21, September.
    16. Xiansha Xiao & Allison Fay & Pablo Santos Molina & Amanda Kovach & Michael S. Glickman & Huilin Li, 2024. "Structure of the M. tuberculosis DnaK−GrpE complex reveals how key DnaK roles are controlled," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    17. F. P. Panei & P. Gkeka & M. Bonomi, 2024. "Identifying small-molecules binding sites in RNA conformational ensembles with SHAMAN," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    18. Zsolt Fazekas & Dóra K. Menyhárd & András Perczel, 2024. "LoCoHD: a metric for comparing local environments of proteins," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    19. Jaewoon Jung & Cheng Tan & Yuji Sugita, 2024. "GENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    20. Matthias M. Schneider & Saurabh Gautam & Therese W. Herling & Ewa Andrzejewska & Georg Krainer & Alyssa M. Miller & Victoria A. Trinkaus & Quentin A. E. Peter & Francesco Simone Ruggeri & Michele Vend, 2021. "The Hsc70 disaggregation machinery removes monomer units directly from α-synuclein fibril ends," Nature Communications, Nature, vol. 12(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38962-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.