4.8 Article

Yeast- and antibody-based tools for studying tryptophan C-mannosylation

Journal

NATURE CHEMICAL BIOLOGY
Volume 17, Issue 4, Pages 428-437

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41589-020-00727-w

Keywords

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Funding

  1. Walter and Eliza Hall Institute of Medical Research
  2. National Health and Medical Research Council of Australia (NHMRC) [GNT1139546, GNT1139549]
  3. ACRF
  4. Victorian State Government Operational Infrastructure support grant
  5. Brian M. Davis Charitable Foundation Centenary Fellowship

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The study investigates the impact of tryptophan C-mannosylation on protein stability and function using a yeast system and identifies crucial residues for catalysis. Monoclonal antibodies generated from a collection of modified proteins enrich proteomic analyses of the brain C-glycome. The study reveals new modification sites on proteins throughout the secretory pathway with both conventional and non-canonical consensus sequences.
Tryptophan C-mannosylation is an unusual co-translational protein modification performed by metazoans and apicomplexan protists. The prevalence and biological functions of this modification are poorly understood, with progress in the field hampered by a dearth of convenient tools for installing and detecting the modification. Here, we engineer a yeast system to produce a diverse array of proteins with and without tryptophan C-mannosylation and interrogate the modification's influence on protein stability and function. This system also enabled mutagenesis studies to identify residues of the glycosyltransferase and its protein substrates that are crucial for catalysis. The collection of modified proteins accrued during this work facilitated the generation and thorough characterization of monoclonal antibodies against tryptophan C-mannosylation. These antibodies empowered proteomic analyses of the brain C-glycome by enriching for peptides possessing tryptophan C-mannosylation. This study revealed many new modification sites on proteins throughout the secretory pathway with both conventional and non-canonical consensus sequences.

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