TMEM87a/Elkin1, a component of a novel mechanoelectrical transduction pathway, modulates melanoma adhesion and migration

  1. Amrutha Patkunarajah
  2. Jeffrey H Stear
  3. Mirko Moroni
  4. Lioba Schroeter
  5. Jedrzej Blaszkiewicz
  6. Jacqueline LE Tearle
  7. Charles D Cox
  8. Carina Fuerst
  9. Oscar Sanchez-Carranza
  10. María del Ángel Ocaña Fernández
  11. Raluca Fleischer
  12. Murat Eravci
  13. Christoph Weise
  14. Boris Martinac
  15. Maté Biro
  16. Gary R Lewin
  17. Kate Poole  Is a corresponding author
  1. University of New South Wales, Australia
  2. Max Delbruck Center for Molecular Medicine, Germany
  3. Victor Chang Cardiac Research Institute, Australia
  4. Freie Universitat Berlin, Germany
  5. EMBL Australia, Australia
  6. Max Delbrück Center for Molecular Medicine, Germany

Abstract

Mechanoelectrical transduction is a cellular signalling pathway where physical stimuli are converted into electro-chemical signals by mechanically activated ion channels. We describe here the presence of mechanically activated currents in melanoma cells that are dependent on TMEM87a, which we have renamed Elkin1. Heterologous expression of this protein in PIEZO1-deficient cells, that exhibit no baseline mechanosensitivity, is sufficient to reconstitute mechanically activated currents. Melanoma cells lacking functional Elkin1 exhibit defective mechanoelectrical transduction, decreased motility and increased dissociation from organotypic spheroids. By analysing cell adhesion properties, we demonstrate that Elkin1 deletion is associated with increased cell-substrate adhesion and decreased homotypic cell-cell adhesion strength. We therefore conclude that Elkin1 supports a PIEZO1-independent mechanoelectrical transduction pathway and modulates cellular adhesions and regulates melanoma cell migration and cell-cell interactions.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data file has been provided for figures 1, 3, 4, 6, 7, 8. Proteomics data provided as supplementary table 1

Article and author information

Author details

  1. Amrutha Patkunarajah

    School of Medical Sciences, University of New South Wales, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
  2. Jeffrey H Stear

    School of Medical Sciences, University of New South Wales, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
  3. Mirko Moroni

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Lioba Schroeter

    School of Medical Sciences, University of New South Wales, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
  5. Jedrzej Blaszkiewicz

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Jacqueline LE Tearle

    School of Medical Sciences, University of New South Wales, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
  7. Charles D Cox

    Molecular Cardiology and Biophysics, Victor Chang Cardiac Research Institute, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
  8. Carina Fuerst

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  9. Oscar Sanchez-Carranza

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  10. María del Ángel Ocaña Fernández

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  11. Raluca Fleischer

    Department of Neuroscience, Max Delbruck Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  12. Murat Eravci

    Institute of Chemistry and Biochemistry, Freie Universitat Berlin, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  13. Christoph Weise

    Institute of Chemistry and Biochemistry, Freie Universitat Berlin, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  14. Boris Martinac

    Molecular Cardiology and Biophysics, Victor Chang Cardiac Research Institute, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8422-7082
  15. Maté Biro

    Single Molecule Science node, School of Medical Sciences, EMBL Australia, Sydney, Australia
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5852-3726
  16. Gary R Lewin

    Neuroscience, Max Delbrück Center for Molecular Medicine, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2890-6352
  17. Kate Poole

    School of Medical Sciences, University of New South Wales, Sydney, Australia
    For correspondence
    k.poole@unsw.edu.au
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0879-6093

Funding

National Health and Medical Research Council (APP1138595)

  • Boris Martinac
  • Maté Biro
  • Kate Poole

Deutsche Forschungsgemeinschaft (SFB958,project A09)

  • Gary R Lewin
  • Kate Poole

National Health and Medical Research Council (APP1135974)

  • Boris Martinac

Deutsche Forschungsgemeinschaft (SFB958,project Z03)

  • Murat Eravci
  • Christoph Weise

Humboldt Foundation (Postdoctoral Fellowship)

  • Mirko Moroni

Max Delbruck Center (Cecile Vogt Fellowship)

  • Kate Poole

Department of Education, Australian Government (RTP scholarship)

  • Amrutha Patkunarajah

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

Reviewing Editor

  1. Baron Chanda, University of Wisconsin-Madison, United States

Version history

  1. Received: November 4, 2019
  2. Accepted: March 28, 2020
  3. Accepted Manuscript published: March 31, 2020 (version 1)
  4. Accepted Manuscript updated: April 1, 2020 (version 2)
  5. Version of Record published: April 21, 2020 (version 3)
  6. Version of Record updated: April 22, 2020 (version 4)

Copyright

© 2020, Patkunarajah 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

  • 4,943
    views
  • 653
    downloads
  • 33
    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. Amrutha Patkunarajah
  2. Jeffrey H Stear
  3. Mirko Moroni
  4. Lioba Schroeter
  5. Jedrzej Blaszkiewicz
  6. Jacqueline LE Tearle
  7. Charles D Cox
  8. Carina Fuerst
  9. Oscar Sanchez-Carranza
  10. María del Ángel Ocaña Fernández
  11. Raluca Fleischer
  12. Murat Eravci
  13. Christoph Weise
  14. Boris Martinac
  15. Maté Biro
  16. Gary R Lewin
  17. Kate Poole
(2020)
TMEM87a/Elkin1, a component of a novel mechanoelectrical transduction pathway, modulates melanoma adhesion and migration
eLife 9:e53308.
https://doi.org/10.7554/eLife.53308

Share this article

https://doi.org/10.7554/eLife.53308

Further reading

    1. Cancer Biology
    2. Genetics and Genomics
    Kevin Nuno, Armon Azizi ... Ravindra Majeti
    Research Article

    Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.

    1. Cancer Biology
    2. Cell Biology
    Ibtisam Ibtisam, Alexei F Kisselev
    Short Report

    Rapid recovery of proteasome activity may contribute to intrinsic and acquired resistance to FDA-approved proteasome inhibitors. Previous studies have demonstrated that the expression of proteasome genes in cells treated with sub-lethal concentrations of proteasome inhibitors is upregulated by the transcription factor Nrf1 (NFE2L1), which is activated by a DDI2 protease. Here, we demonstrate that the recovery of proteasome activity is DDI2-independent and occurs before transcription of proteasomal genes is upregulated but requires protein translation. Thus, mammalian cells possess an additional DDI2 and transcription-independent pathway for the rapid recovery of proteasome activity after proteasome inhibition.