Automated N-glycopeptide identification using a combination of single- and tandem-MS

Journal of Proteome Research

Volumn 6, Issue 10, 2007, Pages 3995-4005

  Goldberg, David ^a   Bern, Marshall ^a   Parry, Simon ^b   Sutton Smith, Mark ^b   Panico, Maria ^b   Morris, Howard R ^c   Dell, Anne ^b  

^a PALO ALTO RESEARCH CENTER   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c M SCAN Ltd Wokingham   (United Kingdom)

Author keywords

Glycomics; Glycosylation; Mass spectrometry; N glycan; Proteomics

Indexed keywords

CARBOHYDRATE DERIVATIVE; GLYCAN DERIVATIVE; GLYCOPEPTIDE; GLYCOPROTEIN; MONOSACCHARIDE;

ANIMAL CELL; ARTICLE; CONTROLLED STUDY; FEMALE; GLYCOSYLATION; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOUSE; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; TANDEM MASS SPECTROMETRY; ZONA PELLUCIDA;

AMINO ACID SEQUENCE; ANIMALS; AUTOANALYSIS; EGG PROTEINS; GLYCOPEPTIDES; GLYCOSYLATION; HUMANS; ISOMERISM; MASS SPECTROMETRY; MEMBRANE GLYCOPROTEINS; MICE; MOLECULAR SEQUENCE DATA; RECEPTORS, CELL SURFACE; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 35648943348     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr070239f     Document Type: Article

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