Application of the StrOligo algorithm for the automated structure assignment of complex N-linked glycans from glycoproteins using tandem mass spectrometry
Article first published online: 4 NOV 2003
Copyright © 2003 John Wiley & Sons, Ltd.
Rapid Communications in Mass Spectrometry
Volume 17, Issue 24, pages 2713–2720, 30 December 2003
How to Cite
Ethier, M., Saba, J. A., Spearman, M., Krokhin, O., Butler, M., Ens, W., Standing, K. G. and Perreault, H. (2003), Application of the StrOligo algorithm for the automated structure assignment of complex N-linked glycans from glycoproteins using tandem mass spectrometry. Rapid Commun. Mass Spectrom., 17: 2713–2720. doi: 10.1002/rcm.1252
- Issue published online: 4 NOV 2003
- Article first published online: 4 NOV 2003
- Manuscript Revised: 8 OCT 2003
- Manuscript Accepted: 8 OCT 2003
- Manuscript Received: 20 AUG 2003
- National Sciences and Engineering Research Council of Canada (NSERC)
Oligosaccharides associated with proteins are known to give these molecules specific conformations and functions. Analysis of proteins would not be complete without studying the glycans. However, high-throughput techniques in proteomics will soon overwhelm the current capacity of methods if no automation is incorporated into glycomics. New capabilities of the StrOligo algorithm introduced for this purpose (Ethier et al., Rapid Commun. Mass Spectrom., 2002; 16: 1743) will be discussed here. Experimental tandem mass spectra were acquired to test the algorithm using a hybrid quadrupole-time-of-flight (QqTOF) instrument with a matrix-assisted laser desorption/ionization (MALDI) source. The samples were N-linked oligosaccharides from monoclonal antibody IgG, beta interferon and fetuin, detached by enzymatic deglycosylation and labeled at the reducing end. Improvements to the program were made in order to reduce the need for user intervention. StrOligo strips the spectra down to monoisotopic peaks only. The algorithm first builds a relationship tree, accounting for each observed loss of a monosaccharide moiety, and then analyzes the tree and proposes possible structures from combinations of adducts and fragment ion types. A score, which reflects agreement with experimental results, is then given to each proposed structure. The program then decides which combination is the best one and labels relevant peaks in the experimental mass spectrum using a modified nomenclature. The usefulness of the algorithm has been demonstrated by assigning structures to several glycans released from glycoproteins. The analysis was completed in less than 2 minutes for any glycan, which is a substantial improvement over manual interpretation. Copyright © 2003 John Wiley & Sons, Ltd.