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Glycans possess significant structural complexity and characterization presents a significant analytical challenge. Whereas sequence is sufficient to determine the primary structures of linear biomolecules such as nucleic acids and proteins, glycans are branched, with a plethora of stereo- and regioisomers for each composition. The AGRS is creating comprehensive databases of biosynthetically-possible glycans by combining known biological pathways with empirical compositional and structural data obtained by LC/MS and MS/MS. These databases may be combined with existing search algorithms to automatically identify specific glycan compounds and structures.

Research highlights:
  • MS/MS spectral libraries to enable rapid de novo identification of specific N-glycan structures
  • Retrosynthetic databases of possible N-glycans in various biological samples (human serum, organ tissue, CHO cells, etc)
Relevant publications:
  • Kronewitter, S., de Leoz, M., Peacock, K., McBride, K., An, H.J., Miyamoto, S., Leiserowitz, G., Lebrilla, C.B., "Human Serum Processing and Analysis Methods for Rapid and Reproducible N-Glycan Mass Profiling", Journal of Proteome Research, 2010, 9(10), 4952-4959.
  • Hua, S., Jeong, H.N., Dimapasoc, L.M., Kang, I., Han, C., Choi, J.S., Lebrilla, C.B., An, H.J., "Isomer-Specific LC/MS and LC/MS/MS Profiling of the Mouse Serum N-Glycome Reveals a Number of Novel Sialylated N-Glycans", Analytical Chemistry, 2013, Mar 27.
  • Patent: An, H.J., Kim, J.H., Yoo, J.S., Han, C.H., Human serum glycome map, 10-2013-0036748.
  • Patent: An, H.J., Kim, J.H., Han, C.Y., Human serum map, PCT/ KR2014/ 2912.