A ribosome assembly stress response regulates transcription to maintain proteome homeostasis

  1. Benjamin Albert
  2. Isabelle C Kos-Braun
  3. Anthony K Henras
  4. Christophe Dez
  5. Maria Paula Rueda
  6. Xu Zhang
  7. Olivier Gadal
  8. Martin Kos
  9. David Shore  Is a corresponding author
  1. University of Geneva, Switzerland
  2. Heidelberg University, Germany
  3. Université Paul Sabatier, France

Abstract

Ribosome biogenesis is a complex and energy-demanding process requiring tight coordination of ribosomal RNA (rRNA) and ribosomal protein (RP) production. Given the extremely high level of RP synthesis in rapidly growing cells, alteration of any step in the ribosome assembly process may impact growth by leading to proteotoxic stress. Although the transcription factor Hsf1 has emerged as a central regulator of proteostasis, how its activity is coordinated with ribosome biogenesis is unknown. Here we show that arrest of ribosome biogenesis in the budding yeast S. cerevisiae triggers rapid activation of a highly specific stress pathway that coordinately up-regulates Hsf1 target genes and down-regulates RP genes. Activation of Hsf1 target genes requires neo-synthesis of RPs, which accumulate in an insoluble fraction and presumably titrate a negative regulator of Hsf1, the Hsp70 chaperone. RP aggregation is also coincident with that of the RP gene activator Ifh1, a transcription factor that is rapidly released from RP gene promoters. Our data support a model in which the levels of newly-synthetized RPs, imported into the nucleus but not yet assembled into ribosomes, work to continuously balance Hsf1 and Ifh1 activity, thus guarding against proteotoxic stress during ribosome assembly.

Data availability

Sequencing data have been deposited in GEO under accession code GSE125226. Previously published data were used from Supplementary file 3 of Sung et al. 2016, eLife (https://elifesciences.org/articles/19105/figures#SD7-data) and Supplemental Table S3 from Sung et al. 2016, Mol Biol Cell (supp_E16-05-0290v1_mc-E16-05-0290-s06.xlsx).

The following data sets were generated

Article and author information

Author details

  1. Benjamin Albert

    Department of Molecular Biology, University of Geneva, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  2. Isabelle C Kos-Braun

    Biochemistry Center (BZH), Heidelberg University, Heidelberg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Anthony K Henras

    Centre de Biologie Intégrative, Université Paul Sabatier, Toulouse, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Christophe Dez

    Centre de Biologie Intégrative, Université Paul Sabatier, Toulouse, France
    Competing interests
    The authors declare that no competing interests exist.
  5. Maria Paula Rueda

    Department of Molecular Biology, University of Geneva, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  6. Xu Zhang

    Department of Molecular Biology, University of Geneva, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  7. Olivier Gadal

    Centre de Biologie Intégrative, Université Paul Sabatier, Toulouse, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9421-0831
  8. Martin Kos

    Biochemistry Centre (BZH), Heidelberg University, Heidelberg, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3337-9681
  9. David Shore

    Department of Molecular Biology, University of Geneva, Geneva, Switzerland
    For correspondence
    David.Shore@unige.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9859-143X

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A_170153)

  • David Shore

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2019, Albert et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 13,580
    views
  • 1,626
    downloads
  • 149
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Benjamin Albert
  2. Isabelle C Kos-Braun
  3. Anthony K Henras
  4. Christophe Dez
  5. Maria Paula Rueda
  6. Xu Zhang
  7. Olivier Gadal
  8. Martin Kos
  9. David Shore
(2019)
A ribosome assembly stress response regulates transcription to maintain proteome homeostasis
eLife 8:e45002.
https://doi.org/10.7554/eLife.45002

Share this article

https://doi.org/10.7554/eLife.45002

Further reading

    1. Cell Biology
    Dharmendra Kumar Nath, Subash Dhakal, Youngseok Lee
    Research Advance

    Understanding how the brain controls nutrient storage is pivotal. Transient receptor potential (TRP) channels are conserved from insects to humans. They serve in detecting environmental shifts and in acting as internal sensors. Previously, we demonstrated the role of TRPγ in nutrient-sensing behavior (Dhakal et al., 2022). Here, we found that a TRPγ mutant exhibited in Drosophila melanogaster is required for maintaining normal lipid and protein levels. In animals, lipogenesis and lipolysis control lipid levels in response to food availability. Lipids are mostly stored as triacylglycerol in the fat bodies (FBs) of D. melanogaster. Interestingly, trpγ deficient mutants exhibited elevated TAG levels and our genetic data indicated that Dh44 neurons are indispensable for normal lipid storage but not protein storage. The trpγ mutants also exhibited reduced starvation resistance, which was attributed to insufficient lipolysis in the FBs. This could be mitigated by administering lipase or metformin orally, indicating a potential treatment pathway. Gene expression analysis indicated that trpγ knockout downregulated brummer, a key lipolytic gene, resulting in chronic lipolytic deficits in the gut and other fat tissues. The study also highlighted the role of specific proteins, including neuropeptide DH44 and its receptor DH44R2 in lipid regulation. Our findings provide insight into the broader question of how the brain and gut regulate nutrient storage.

    1. Cell Biology
    2. Immunology and Inflammation
    Mykhailo Vladymyrov, Luca Marchetti ... Britta Engelhardt
    Tools and Resources

    The endothelial blood-brain barrier (BBB) strictly controls immune cell trafficking into the central nervous system (CNS). In neuroinflammatory diseases such as multiple sclerosis, this tight control is, however, disturbed, leading to immune cell infiltration into the CNS. The development of in vitro models of the BBB combined with microfluidic devices has advanced our understanding of the cellular and molecular mechanisms mediating the multistep T-cell extravasation across the BBB. A major bottleneck of these in vitro studies is the absence of a robust and automated pipeline suitable for analyzing and quantifying the sequential interaction steps of different immune cell subsets with the BBB under physiological flow in vitro. Here, we present the under-flow migration tracker (UFMTrack) framework for studying immune cell interactions with endothelial monolayers under physiological flow. We then showcase a pipeline built based on it to study the entire multistep extravasation cascade of immune cells across brain microvascular endothelial cells under physiological flow in vitro. UFMTrack achieves 90% track reconstruction efficiency and allows for scaling due to the reduction of the analysis cost and by eliminating experimenter bias. This allowed for an in-depth analysis of all behavioral regimes involved in the multistep immune cell extravasation cascade. The study summarizes how UFMTrack can be employed to delineate the interactions of CD4+ and CD8+ T cells with the BBB under physiological flow. We also demonstrate its applicability to the other BBB models, showcasing broader applicability of the developed framework to a range of immune cell-endothelial monolayer interaction studies. The UFMTrack framework along with the generated datasets is publicly available in the corresponding repositories.