glyBranch

glyBranch identifies glycan branching patterns from multi-stage mass spectrometry (MSⁿ) spectra trees to enable structural characterization of glycans.


Key Features:

  • Multi-stage MS support: Leverages multi-stage mass spectrometry (MSⁿ) to access multiple levels of fragmentation beyond tandem mass spectrometry (MS²).
  • MSⁿ spectra tree analysis: Interprets MSⁿ spectra trees that represent production relationships among fragments.
  • Automated branching identification: Automates the identification of glycan branching patterns from MSⁿ data.
  • Validation on standards and samples: Demonstrated on 14 glycan standards (including two isomeric pairs) and 16 complex N-glycans isolated from RNase B and IgG.
  • Isomer resolution: Capable of distinguishing isomeric glycan sequences using MSⁿ fragmentation information.

Scientific Applications:

  • Glycan structural characterization: Identification and structural characterization of glycan branching patterns from MSⁿ data.
  • N-glycan analysis from glycoproteins: Structural analysis of complex N-glycans isolated from RNase B and IgG.
  • Isomer differentiation: Differentiation of isomeric glycan sequences in MSⁿ datasets.

Methodology:

Analyzes MSⁿ spectra trees that represent fragment production relationships to infer glycan branching patterns and was applied to 14 glycan standards (two isomeric pairs) and 16 complex N-glycans from RNase B and IgG.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Java
Added:
1/18/2021
Last Updated:
1/23/2021

Operations

Publications

Wang H, Zhang J, Dong J, Hou M, Pan W, Bu D, Zhou J, Zhang Q, Wang Y, Zhao K, Li Y, Huang C, Sun S. Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis. Journal of Proteomics. 2020;217:103649. doi:10.1016/j.jprot.2020.103649. PMID:31978548.

PMID: 31978548
Funding: - Chinese Academy of Sciences: 153311KYSB20150012 - National Natural Science Foundation of China: 31600650, 31671369, 31770775 - National Basic Research Program of China: 2018YFC0910405