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GRable Version 1.0 software for “visualizing” protein glycosylation

This is an announcement of the press release about a software named “GRable version 1.0” for semi-automated glycoproteomic analysis. This software was developed by research groups including Chiaki Nagai-Okatani (Senior Researcher), Daisuke Tominaga (Senior Researcher at that time; now Professor at Meiji Pharmaceutical University), Azusa Tomioka (Technical Staff), Hiroaki Sakaue (Researcher), Atsushi Kuno (Group Leader) of the Molecular and Cellular Glycoproteomics Research Group, Cellular and Molecular Biotechnology Research Institute, AIST; Hiroyuki Kaji (Designated Professor) of the Institute for Glyco-core Research (iGCORE), Nagoya University (also Visiting Researcher, AIST); and Shigeru Ko (Specially Appointed Associate Professor) and Norio Goda (at that time) of the Keio University School of Medicine.

Although the current gold standard for the identification of glycopeptides is two-step mass spectrometry (MS2), AIST has developed an MS1-based method named “Glycan heterogeneity-based Relational IDentification of Glycopeptide signals on Elution profile (Glyco-RIDGE)” to discover glycopeptide signals more comprehensively. GRable version 1.0 allows semi-automated Glyco-RIDGE analysis for estimating site-specific glycoforms of glycoproteins. This software can be used for both detailed structural analysis of specific glycoproteins such as biopharmaceuticals and large-scale analysis for the discovery of glycoproteins that may become seeds for drug discovery. The software is freely available on the GlyCosmos Portal [1-3].

Details of this technology were published in Molecular & Cellular Proteomics on September 30, 2024.

*For more details, please see the press release below.

research

Press release

Publication

  • Title:GRable version 1.0: A software tool for site-specific glycoform analysis with improved MS1-based glycopeptide detection with parallel clustering and confidence evaluation with MS2 information
  • Authors: Chiaki Nagai-Okatani*, Daisuke Tominaga, Azusa Tomioka, Hiroaki Sakaue, Norio Goda, Shigeru Ko, Atsushi Kuno, Hiroyuki Kaji* (*co-corresponding authors)
  • Journal: Molecular & Cellular Proteomics
  • DOI: 10.1016/j.mcpro.2024.100833

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