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Proteome effects of genome-wide single gene perturbations

Author

Listed:
  • Merve Öztürk

    (Institute of Molecular Biology (IMB))

  • Anja Freiwald

    (Institute of Molecular Biology (IMB))

  • Jasmin Cartano

    (Institute of Molecular Biology (IMB))

  • Ramona Schmitt

    (Institute of Molecular Biology (IMB))

  • Mario Dejung

    (Institute of Molecular Biology (IMB))

  • Katja Luck

    (Institute of Molecular Biology (IMB))

  • Bassem Al-Sady

    (University of California San Francisco)

  • Sigurd Braun

    (Ludwig-Maximilians University of Munich
    Justus-Liebig-University Giessen)

  • Michal Levin

    (Institute of Molecular Biology (IMB))

  • Falk Butter

    (Institute of Molecular Biology (IMB))

Abstract

Protein abundance is controlled at the transcriptional, translational and post-translational levels, and its regulatory principles are starting to emerge. Investigating these principles requires large-scale proteomics data and cannot just be done with transcriptional outcomes that are commonly used as a proxy for protein abundance. Here, we determine proteome changes resulting from the individual knockout of 3308 nonessential genes in the yeast Schizosaccharomyces pombe. We use similarity clustering of global proteome changes to infer gene functionality that can be extended to other species, such as humans or baker’s yeast. Furthermore, we analyze a selected set of deletion mutants by paired transcriptome and proteome measurements and show that upregulation of proteins under stable transcript expression utilizes optimal codons.

Suggested Citation

  • Merve Öztürk & Anja Freiwald & Jasmin Cartano & Ramona Schmitt & Mario Dejung & Katja Luck & Bassem Al-Sady & Sigurd Braun & Michal Levin & Falk Butter, 2022. "Proteome effects of genome-wide single gene perturbations," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33814-8
    DOI: 10.1038/s41467-022-33814-8
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    References listed on IDEAS

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    1. Martin Frejno & Chen Meng & Benjamin Ruprecht & Thomas Oellerich & Sebastian Scheich & Karin Kleigrewe & Enken Drecoll & Patroklos Samaras & Alexander Hogrebe & Dominic Helm & Julia Mergner & Jana Zec, 2020. "Proteome activity landscapes of tumor cell lines determine drug responses," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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