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  2. THRONCAT: metabolic labeling of newly synthesized proteins using a bioorthogonal threonine analog

THRONCAT: metabolic labeling of newly synthesized proteins using a bioorthogonal threonine analog

  • Nat Commun. 2023 Jun 8;14(1):3367. doi: 10.1038/s41467-023-39063-7.
Bob J Ignacio 1 Jelmer Dijkstra 2 3 Natalia Mora # 4 Erik F J Slot # 4 Margot J van Weijsten 1 Erik Storkebaum 4 Michiel Vermeulen 2 3 Kimberly M Bonger 5
Affiliations

Affiliations

  • 1 Department of Synthetic Organic Chemistry, Chemical Biology Lab, Radboud University, Heyendaalseweg 135, 6525AJ, Nijmegen, the Netherlands.
  • 2 Department of Molecular Biology, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University, Nijmegen, the Netherlands.
  • 3 Division of Molecular Genetics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • 4 Molecular Neurobiology Laboratory, Donders Center for Neuroscience, Donders Institute for Brain, Cognition and Behaviour and Faculty of Science, Radboud University, Nijmegen, the Netherlands.
  • 5 Department of Synthetic Organic Chemistry, Chemical Biology Lab, Radboud University, Heyendaalseweg 135, 6525AJ, Nijmegen, the Netherlands. k.bonger@science.ru.nl.
  • # Contributed equally.
Abstract

Profiling the nascent cellular proteome and capturing early proteomic changes in response to external stimuli provides valuable insights into cellular physiology. Existing metabolic protein labeling approaches based on bioorthogonal methionine- or puromycin analogs allow for the selective visualization and enrichment of newly synthesized proteins. However, their applications are limited as they often require methionine-free conditions, auxotrophic cells and/or are toxic to cells. Here, we introduce THRONCAT, a threonine-derived non-canonical amino acid tagging method based on the bioorthogonal threonine analog β-ethynylserine (βES) that enables efficient labeling of the nascent proteome in complete growth media within minutes. We use THRONCAT for the visualization and enrichment of nascent proteins in bacteria, mammalian cells and Drosophila melanogaster. We profile immediate proteome dynamics of B-cells in response to B-cell receptor activation simply by adding βES to the culture medium, demonstrating the ease-of-use of the method and its potential to address diverse biological questions. In addition, using a Drosophila model of Charcot-Marie-Tooth peripheral neuropathy, we show that THRONCAT enables visualization and quantification of relative protein synthesis rates in specific cell types in vivo.

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