University of Georgia

Training in Glycoscience

2021 Training Courses are FREE and VIRTUAL

The Complex Carbohydrate Research Center training includes undergraduate and graduate students, postdoctoral research associates, and visiting scientists from the United States and around the world. CCRC provides Hands-on Training in principles, methods, and analytical techniques used to study complex carbohydrates.

Short-term trainees may enroll in one or more of the four glycobiology training courses the CCRC offers every summer for scientists in academic, governmental, or industrial laboratories.

These varied hands-on trainings in glycobiology are supported in part by fees from participants and by funds from the US Department of Energy and the US National Institutes of Health.

Training courses will be offered free and virtually for 2021. More information including sign-up instructions will be coming soon.

COURSE 4 : GLYCOMICS, GLYCOPROTEOMICS AND BIOINFORMATICS TOOLS FOR DATA INTERPRETATION OF MASS SPECTROMETRY OF GLYCOPROTEINS (OCTOBER 18-20, 2021).

The mass spectrometry and bioinformatics training course will focus specifically on glycomics and glycoproteomics analysis of glycoproteins using mass spectrometric techniques. The MS component will include lectures on glycomics and glycoproteins (including mapping the glycosylation sites in glycoproteins); determining the composition, sequencing, and branching points of N and O-linked oligosaccharides, quantitation of glycans and MS procedures used in these analyses. Virtual demonstrations will include matrix-assisted laser desorption ionization (MALDI), electrospray ionization (ESI), and tandem mass spectrometry (MS/MS). Experience with MS is beneficial but is not required.

The Bioinformatics component concentrates on the interpretation of mass spectrometric data and especially the application of bioinformatics tools for this purpose. The course includes lectures and hands-on exercises of:

  • Introduction to different domain databases (Glycomics and Glycoproteomics) and how they can be used to supplement analytical workflows.
  • Introduction to the interpretation of mass spectrometric data
  • A general overview of existing mass spectrometry software tools for glycomics and glycoproteomics data

Course 4 Sample Schedule