The transcription factor Xrp1 orchestrates both reduced translation and cell competition upon defective ribosome assembly or function

  1. Marianthi Kiparaki  Is a corresponding author
  2. Chaitali Khan
  3. Virginia Folgado-Marco
  4. Jacky Chuen
  5. Panagiotis Moulos
  6. Nicholas E Baker  Is a corresponding author
  1. Albert Einstein College of Medicine, United States
  2. Alexander Fleming Biomedical Sciences Research Center, Greece

Abstract

Ribosomal Protein (Rp) gene haploinsufficiency affects translation rate, can lead to protein aggregation, and causes cell elimination by competition with wild type cells in mosaic tissues. We find that the modest changes in ribosomal subunit levels observed were insufficient for these effects, which all depended on the AT-hook, bZip domain protein Xrp1. Xrp1 reduced global translation through PERK-dependent phosphorylation of eIF2α. eIF2α phosphorylation was itself sufficient to enable cell competition of otherwise wild type cells, but through Xrp1 expression, not as the downstream effector of Xrp1. Unexpectedly, many other defects reducing ribosome biogenesis or function (depletion of TAF1B, eIF2, eIF4G, eIF6, eEF2, eEF1α1, or eIF5A), also increased eIF2α phosphorylation and enabled cell competition. This was also through the Xrp1 expression that was induced in these depletions. In the absence of Xrp1, translation differences between cells were not themselves sufficient to trigger cell competition. Xrp1 is shown here to be a sequence-specific transcription factor that regulates transposable elements as well as single-copy genes. Thus, Xrp1 is the master regulator that triggers multiple consequences of ribosomal stresses, and is the key instigator of cell competition.

Data availability

mRNA-Seq data were analyzed from datasets available from GEO with accession numbers GSE112864 and GSE124924. All other data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figure 1, Figure 2, Figure 2-figure supplement 1, Figure 8-figure supplement 4, Figure 10 and Figure 10-figure supplement 1.

The following previously published data sets were used

Article and author information

Author details

  1. Marianthi Kiparaki

    Genetics Department, Albert Einstein College of Medicine, Bronx, United States
    For correspondence
    kiparaki@fleming.gr
    Competing interests
    The authors declare that no competing interests exist.
  2. Chaitali Khan

    Genetics Department, Albert Einstein College of Medicine, Bronx, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Virginia Folgado-Marco

    Genetics Department, Albert Einstein College of Medicine, Bronx, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Jacky Chuen

    Genetics Department, Albert Einstein College of Medicine, Bronx, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Panagiotis Moulos

    Alexander Fleming Biomedical Sciences Research Center, Vari, Greece
    Competing interests
    The authors declare that no competing interests exist.
  6. Nicholas E Baker

    Department of Genetics, Albert Einstein College of Medicine, Bronx, United States
    For correspondence
    nicholas.baker@einsteinmed.org
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4250-3488

Funding

National Institute of General Medical Sciences (research project grant GM120451)

  • Nicholas E Baker

NIH Office of the Director (instrumentation grant S10OD023591)

  • Nicholas E Baker

National Cancer Institute (Cancer Center Support Grant P30CA013330)

  • Nicholas E Baker

Ministry of Economy & Development, Greece (Research Infrastructure Grant Bio-Imaging GR MIS 5002755)

  • Marianthi Kiparaki

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

Reviewing Editor

  1. Erika A Bach, New York University School of Medicine, United States

Version history

  1. Received: June 27, 2021
  2. Preprint posted: July 12, 2021 (view preprint)
  3. Accepted: February 9, 2022
  4. Accepted Manuscript published: February 18, 2022 (version 1)
  5. Accepted Manuscript updated: February 21, 2022 (version 2)
  6. Version of Record published: March 18, 2022 (version 3)

Copyright

© 2022, Kiparaki 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

  • 2,705
    views
  • 422
    downloads
  • 18
    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. Marianthi Kiparaki
  2. Chaitali Khan
  3. Virginia Folgado-Marco
  4. Jacky Chuen
  5. Panagiotis Moulos
  6. Nicholas E Baker
(2022)
The transcription factor Xrp1 orchestrates both reduced translation and cell competition upon defective ribosome assembly or function
eLife 11:e71705.
https://doi.org/10.7554/eLife.71705

Share this article

https://doi.org/10.7554/eLife.71705

Further reading

    1. Cell Biology
    2. Structural Biology and Molecular Biophysics
    Marcel Proske, Robert Janowski ... Dierk Niessing
    Research Article

    Mutations in the human PURA gene cause the neurodevelopmental PURA syndrome. In contrast to several other monogenetic disorders, almost all reported mutations in this nucleic acid-binding protein result in the full disease penetrance. In this study, we observed that patient mutations across PURA impair its previously reported co-localization with processing bodies. These mutations either destroyed the folding integrity, RNA binding, or dimerization of PURA. We also solved the crystal structures of the N- and C-terminal PUR domains of human PURA and combined them with molecular dynamics simulations and nuclear magnetic resonance measurements. The observed unusually high dynamics and structural promiscuity of PURA indicated that this protein is particularly susceptible to mutations impairing its structural integrity. It offers an explanation why even conservative mutations across PURA result in the full penetrance of symptoms in patients with PURA syndrome.

    1. Cell Biology
    Mathieu C Husser, Nhat P Pham ... Alisa Piekny
    Tools and Resources

    Endogenous tags have become invaluable tools to visualize and study native proteins in live cells. However, generating human cell lines carrying endogenous tags is difficult due to the low efficiency of homology-directed repair. Recently, an engineered split mNeonGreen protein was used to generate a large-scale endogenous tag library in HEK293 cells. Using split mNeonGreen for large-scale endogenous tagging in human iPSCs would open the door to studying protein function in healthy cells and across differentiated cell types. We engineered an iPS cell line to express the large fragment of the split mNeonGreen protein (mNG21-10) and showed that it enables fast and efficient endogenous tagging of proteins with the short fragment (mNG211). We also demonstrate that neural network-based image restoration enables live imaging studies of highly dynamic cellular processes such as cytokinesis in iPSCs. This work represents the first step towards a genome-wide endogenous tag library in human stem cells.