In this 3-day virtual course, participants will learn basic techniques for glycomic and glycopeptide analysis via a combination of virtual demos, hands-on data interpretation, and lectures. Topics to be included are: release and structural characterization of N- and O-linked glycans, glycopeptide and glycoproteomics analysis, biology of glycosylation, glycolipid analysis, and data interpretation. The final day will include optional additional modules on using mass spectrometry, and NMR spectroscopy for the analysis of glycoconjugates.
Mass Spectrometric (MS) Analysis of Glycoconjugates: The use of mass spectrometry for the characterization of glycoconjugates will be discussed. Topics in this area will include identifying occupied glycosylation sites by LC-MS and sequencing glycoprotein glycans with sequential exoglycosidase digestions followed by MS.
Computational Simulations of Carbohydrate Conformation: The course will present a discussion of the conformational preferences of oligosaccharides. Focus will then shift to the prediction and validation of oligosaccharide structures produced computationally with molecular dynamics simulations with the AMBER/GLYCAM force field.
NMR of Carbohydrates: This module will be an introduction to the application of NMR spectroscopy of polysaccharides and glycoconjugates covering a) essential features of NMR spectra, b) protocols used to solve primary structures, iii) applications and examples from the current literature, and c) resources for information.
Tentative 2020 Schedule
- Understand basic principles of protein and lipid glycosylation, structure, and function within biological systems.
- Learn analytical strategies to release, isolate, and permethylate N- and O-linked glycans, or to prepare solutions of glycopeptides from proteins, tissue, or cells
- Familiarize with methods to analyze glycans and glycopeptides using MALDI, LC-MS, tandem MS, and multiple fragmentation techniques
- Additional analytical techniques including chromatography and NMR, and molecular modeling techniques
- Experience hands-on data interpretation with provided example datasets, available databases and downloadable software.
- This class is to be taken completely online
- We will provide a link to the platform on the day of the class
- This class requires a computer and strong internet connection
Participants should be familiar with basic fundamentals of biochemical analysis.