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Kuhn Lab at The Scripps Research Institute. > KSPublications > Automated N-glycopeptide Identification Using a Combination of Single- and Tandem-MS  

KSPublications: Automated N-glycopeptide Identification Using a Combination of Single- and Tandem-MS

Title

Automated N-glycopeptide Identification Using a Combination of Single- and Tandem-MS 

Authors

Goldberg, D., Bern, M., Parry, S., Sutton-Smith, M., Panico, M., Morris, H., Dell, A. 

Abstract

We describe Peptoonist, a program that can automatically identify the glycans (sugars) present at each N-glycosylation site of a protein. The input to Peptoonist is a series of mass spectra, both MS and MS/MS, obtained from a liquid chromatography (LC) run of proteolytically digested purified glycoproteins. The program uses MS/MS to identify glycosylated peptides and single-MS to identify the N-glycans present on each of these peptides, at least to the level of monosaccharide composition. We validate the program on an LC run of mouse zona pellucida proteins that had been intensively hand annotated by a human expert. Our program doubled the number of glycopeptide identifications, and also found several possible errors in the hand annotation. In addition, it automatically made most of the same glycan isomer identifications as the expert annotator.

Journal

J. Proteome Res 

Date

10/15/2007 

Link

PubMed Entry 

Reference

Goldberg, D., Bern, M., Parry, S., Sutton-Smith, M., Panico, M., Morris, H., Dell, A. Automated N-Glycopeptide Identification Using a Combination of Single- and Tandem-MS. J. Proteome Res, {\bf 6}, pp. 3995-4005 (2007)

PMID

17727280 

Keyword

 

TSRI Number

 
Attachments
Created at 10/15/2007 5:13 PM  by System Account 
Last modified at 9/25/2008 8:52 AM  by System Account