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Multiple Layers of Complexity in O-Glycosylation Illustrated With the Urinary Glycoproteome.

Mol Cell Proteomics

December 2022

Laboratory of Proteomics Research, Biological Research Centre, Eotvos Lorand Research Network (ELKH) Szeged, Hungary; Single Cell Omics Advanced Core Facility, Hungarian Centre of Excellence for Molecular Medicine Szeged, Hungary. Electronic address:

Article Synopsis
  • Analyzing O-glycosylation is more complex than N-glycopeptide characterization, with multiple layers of complexity highlighted in the study.
  • The research presents a comprehensive dataset of O-glycopeptides from human samples, including individuals with bladder cancer and bladder inflammation, making it one of the largest collections analyzed.
  • The analysis indicates a significant diversity in O-glycosylation patterns and suggests improvements for existing glycopeptide analysis tools to enhance reliability in assignments.
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