Glycome project: concept, strategy and preliminary application to Caenorhabditis elegans

Area of Science:

• Glycobiology
• Bioinformatics
• Systems Biology

Background:

• Glycans on cell surfaces mediate interactions between cells, reflecting cell types and states.
• The diversity of these carbohydrate chains is largely unknown.
• Glycomics aims to elucidate the glycome, the complete set of glycans, as the third major class of bioinformative macromolecules after the genome and proteome.

Purpose of the Study:

• To persuade life scientists of the importance of glycomics.
• To present a strategy for establishing a glycome database.
• To introduce methods for glycopeptide characterization and capture.

Main Methods:

• Targeting glycopeptides for linkage to genome databases.
• Utilizing Caenorhabditis elegans as a model organism.
• Characterizing glycopeptides by cosmid ID, molecular weight, retention time (Rs) of pyridylaminated (PA) oligosaccharides in 2-D mapping, and dissociation constants (Kd's) for lectins.
• Employing lectin-affinity chromatography ('glyco-catch') for glycopeptide isolation.
• Using frontal affinity chromatography (FAC) for determining glycan-lectin interactions.

Main Results:

• Successfully captured glycopeptides from asialofetuin and ovalbumin using specific lectin-agarose columns.
• Isolated and identified a glycopeptide from Caenorhabditis elegans membrane proteins within its genome database.
• Demonstrated the feasibility of using FAC for glycan structure determination.

Conclusions:

• The proposed strategy provides a framework for building a comprehensive glycome database.
• Lectin-affinity chromatography and FAC are effective methods for glycopeptide analysis and glycan structure elucidation.
• Glycomics holds significant potential for understanding biological systems at a molecular level.