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Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology

Author

Listed:
  • Fynn M. Hansen

    (Max Planck Institute of Biochemistry)

  • Maria C. Tanzer

    (Max Planck Institute of Biochemistry)

  • Franziska Brüning

    (Max Planck Institute of Biochemistry
    Faculty of Medicine, LMU)

  • Isabell Bludau

    (Max Planck Institute of Biochemistry)

  • Che Stafford

    (Ludwig-Maximilians-Universität München)

  • Brenda A. Schulman

    (Max Planck Institute of Biochemistry)

  • Maria S. Robles

    (Faculty of Medicine, LMU)

  • Ozge Karayel

    (Max Planck Institute of Biochemistry)

  • Matthias Mann

    (Max Planck Institute of Biochemistry)

Abstract

Protein ubiquitination is involved in virtually all cellular processes. Enrichment strategies employing antibodies targeting ubiquitin-derived diGly remnants combined with mass spectrometry (MS) have enabled investigations of ubiquitin signaling at a large scale. However, so far the power of data independent acquisition (DIA) with regards to sensitivity in single run analysis and data completeness have not yet been explored. Here, we develop a sensitive workflow combining diGly antibody-based enrichment and optimized Orbitrap-based DIA with comprehensive spectral libraries together containing more than 90,000 diGly peptides. This approach identifies 35,000 diGly peptides in single measurements of proteasome inhibitor-treated cells – double the number and quantitative accuracy of data dependent acquisition. Applied to TNF signaling, the workflow comprehensively captures known sites while adding many novel ones. An in-depth, systems-wide investigation of ubiquitination across the circadian cycle uncovers hundreds of cycling ubiquitination sites and dozens of cycling ubiquitin clusters within individual membrane protein receptors and transporters, highlighting new connections between metabolism and circadian regulation.

Suggested Citation

  • Fynn M. Hansen & Maria C. Tanzer & Franziska Brüning & Isabell Bludau & Che Stafford & Brenda A. Schulman & Maria S. Robles & Ozge Karayel & Matthias Mann, 2021. "Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20509-1
    DOI: 10.1038/s41467-020-20509-1
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    Cited by:

    1. Yi Yang & Qun Fang, 2024. "Prediction of glycopeptide fragment mass spectra by deep learning," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Rongfeng Huang & Jianghui Chen & Meiyu Zhou & Haoran Xin & Sin Man Lam & Xiaoqing Jiang & Jie Li & Fang Deng & Guanghou Shui & Zhihui Zhang & Min-Dian Li, 2023. "Multi-omics profiling reveals rhythmic liver function shaped by meal timing," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Liam C. Hunt & Vishwajeeth Pagala & Anna Stephan & Boer Xie & Kiran Kodali & Kanisha Kavdia & Yong-Dong Wang & Abbas Shirinifard & Michelle Curley & Flavia A. Graca & Yingxue Fu & Suresh Poudel & Yuxi, 2023. "An adaptive stress response that confers cellular resilience to decreased ubiquitination," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    4. Ulises H. Guzman & Henriette Aksnes & Rasmus Ree & Nicolai Krogh & Magnus E. Jakobsson & Lars J. Jensen & Thomas Arnesen & Jesper V. Olsen, 2023. "Loss of N-terminal acetyltransferase A activity induces thermally unstable ribosomal proteins and increases their turnover in Saccharomyces cerevisiae," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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