Cell Reports: Methods (Jun 2021)

Global analysis of protein arginine methylation

  • Fangrong Zhang,
  • Jakob Kerbl-Knapp,
  • Maria J. Rodriguez Colman,
  • Andreas Meinitzer,
  • Therese Macher,
  • Nemanja Vujić,
  • Sandra Fasching,
  • Evelyne Jany-Luig,
  • Melanie Korbelius,
  • Katharina B. Kuentzel,
  • Maximilian Mack,
  • Alena Akhmetshina,
  • Anita Pirchheim,
  • Margret Paar,
  • Beate Rinner,
  • Gerd Hörl,
  • Ernst Steyrer,
  • Ulrich Stelzl,
  • Boudewijn Burgering,
  • Tobias Eisenberg,
  • Brigitte Pertschy,
  • Dagmar Kratky,
  • Tobias Madl

Journal volume & issue
Vol. 1, no. 2
p. 100016

Abstract

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Summary: Quantitative information about the levels and dynamics of post-translational modifications (PTMs) is critical for an understanding of cellular functions. Protein arginine methylation (ArgMet) is an important subclass of PTMs and is involved in a plethora of (patho)physiological processes. However, because of the lack of methods for global analysis of ArgMet, the link between ArgMet levels, dynamics, and (patho)physiology remains largely unknown. We utilized the high sensitivity and robustness of nuclear magnetic resonance (NMR) spectroscopy to develop a general method for the quantification of global protein ArgMet. Our NMR-based approach enables the detection of protein ArgMet in purified proteins, cells, organoids, and mouse tissues. We demonstrate that the process of ArgMet is a highly prevalent PTM and can be modulated by small-molecule inhibitors and metabolites and changes in cancer and during aging. Thus, our approach enables us to address a wide range of biological questions related to ArgMet in health and disease. Motivation: Protein arginine methylation (ArgMet) is of high current and increasing interest because of its fundamental role in regulation of cellular processes, including transcription, RNA processing, signal transduction cascades, the DNA damage response, and liquid-liquid phase separation. However, because of the lack of methods for global analysis of ArgMet, the mechanistic link between ArgMet levels, dynamics, and (patho)physiology remains largely unknown. Here, we took advantage of the high sensitivity and robustness of nuclear magnetic resonance spectroscopy and developed and applied a general method for quantification of global protein ArgMet.

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