Abstract

Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. Here, we have created a novel methodology to track redox status at single cell resolution using the redox-sensitive probe Grx1-roGFP2. Our method allows identification and sorting of sub-populations with different oxidation levels in either the cytosol, mitochondria or peroxisomes. Using this approach, we defined a redox-dependent heterogeneity of yeast cells and characterized growth, as well as proteomic and transcriptomic profiles of distinctive redox subpopulations. We report that, starting in late logarithmic growth, cells of the same age have a bi-modal distribution of oxidation status. A comparative proteomic analysis between these populations identified three key proteins, Hsp30, Dhh1, and Pnc1, which affect basal oxidation levels and may serve as first line of defense proteins in redox homeostasis.

Data availability

All data generated or analyses during this study are included in the manuscript and supporting files. Proteomic data was uploadedto the PRIDE database with the dataset identifier PXD009443. Transcriptomic data was uploaded to the GEO database as described in the manuscript (methods).

The following data sets were generated

Article and author information

Author details

  1. Meytal Radzinski

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  2. Rosi Fassler

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  3. Ohad Yogev

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  4. William Breuer

    Proteomics and Mass Spectrometry Unit, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  5. Nadav Shai

    Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2812-3884
  6. Jenia Gutin

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  7. Sidra Ilyas

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  8. Yifat Geffen

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  9. Sabina Tsytkin-Kirschenzweig

    Grass Center for Bioengineering, Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  10. Yaakov Nahmias

    Grass Center for Bioengineering, Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  11. Tommer Ravid

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
  12. Nir Friedman

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9678-3550
  13. Maya Shuldiner

    Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  14. Dana Reichmann

    Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel
    For correspondence
    danare@mail.huji.ac.il
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0315-5334

Funding

Israel Science Foundation

  • Dana Reichmann

Human Frontier Science Program

  • Dana Reichmann

European Commission

  • Dana Reichmann

US-Binational Science Foundation

  • Dana Reichmann

Joint Berlin-Jerusalem postdoc fellowship, Hebrew University and Freie University

  • Sidra Ilyas

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

Copyright

© 2018, Radzinski 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

  • 3,172
    views
  • 512
    downloads
  • 24
    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. Meytal Radzinski
  2. Rosi Fassler
  3. Ohad Yogev
  4. William Breuer
  5. Nadav Shai
  6. Jenia Gutin
  7. Sidra Ilyas
  8. Yifat Geffen
  9. Sabina Tsytkin-Kirschenzweig
  10. Yaakov Nahmias
  11. Tommer Ravid
  12. Nir Friedman
  13. Maya Shuldiner
  14. Dana Reichmann
(2018)
Temporal profiling of redox-dependent heterogeneity in single cells
eLife 7:e37623.
https://doi.org/10.7554/eLife.37623

Share this article

https://doi.org/10.7554/eLife.37623

Further reading

    1. Biochemistry and Chemical Biology
    2. Microbiology and Infectious Disease
    Ana Patrícia Graça, Vadim Nikitushkin ... Gerald Lackner
    Research Article

    Mycofactocin is a redox cofactor essential for the alcohol metabolism of mycobacteria. While the biosynthesis of mycofactocin is well established, the gene mftG, which encodes an oxidoreductase of the glucose-methanol-choline superfamily, remained functionally uncharacterized. Here, we show that MftG enzymes are almost exclusively found in genomes containing mycofactocin biosynthetic genes and are present in 75% of organisms harboring these genes. Gene deletion experiments in Mycolicibacterium smegmatis demonstrated a growth defect of the ∆mftG mutant on ethanol as a carbon source, accompanied by an arrest of cell division reminiscent of mild starvation. Investigation of carbon and cofactor metabolism implied a defect in mycofactocin reoxidation. Cell-free enzyme assays and respirometry using isolated cell membranes indicated that MftG acts as a mycofactocin dehydrogenase shuttling electrons toward the respiratory chain. Transcriptomics studies also indicated remodeling of redox metabolism to compensate for a shortage of redox equivalents. In conclusion, this work closes an important knowledge gap concerning the mycofactocin system and adds a new pathway to the intricate web of redox reactions governing the metabolism of mycobacteria.

    1. Biochemistry and Chemical Biology
    2. Cell Biology
    Santi Mestre-Fos, Lucas Ferguson ... Jamie HD Cate
    Research Article

    Stem cell differentiation involves a global increase in protein synthesis to meet the demands of specialized cell types. However, the molecular mechanisms underlying this translational burst and the involvement of initiation factors remains largely unknown. Here, we investigate the role of eukaryotic initiation factor 3 (eIF3) in early differentiation of human pluripotent stem cell (hPSC)-derived neural progenitor cells (NPCs). Using Quick-irCLIP and alternative polyadenylation (APA) Seq, we show eIF3 crosslinks predominantly with 3’ untranslated region (3’-UTR) termini of multiple mRNA isoforms, adjacent to the poly(A) tail. Furthermore, we find that eIF3 engagement at 3’-UTR ends is dependent on polyadenylation. High eIF3 crosslinking at 3’-UTR termini of mRNAs correlates with high translational activity, as determined by ribosome profiling, but not with translational efficiency. The results presented here show that eIF3 engages with 3’-UTR termini of highly translated mRNAs, likely reflecting a general rather than specific regulatory function of eIF3, and supporting a role of mRNA circularization in the mechanisms governing mRNA translation.