Characterization of intact N- and O-linked glycopeptides using higher energy collisional dissociation.
Simultaneous elucidation of the glycan structure and the glycosylation site are needed to reveal the biological function of protein glycosylation. In this study, we employed a recent type of fragmentation termed higher energy collisional dissociation (HCD) to examine fragmentation patterns of intact glycopeptides generated from a mixture of standard glycosylated proteins. The normalized collisional energy (NCE) value for HCD was varied from 30 to 60% to evaluate the optimal conditions for the fragmentation of peptide backbones and glycoconjugates. Our results indicated that HCD with lower NCE values preferentially fragmented the sugar chains attached to the peptides to generate a ladder of neutral loss of monosaccharides, thereby enabling the putative glycan structure characterization. In addition, detection of the oxonium ions enabled unambiguous differentiation of glycopeptides from non-glycopeptides. In contrast, HCD with higher NCE values preferentially fragmented the peptide backbone and, thus, provided information needed for confident peptide identification. We evaluated the HCD approach with alternating NCE parameters for confident characterization of intact N- and O-linked glycopeptides in a single liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. In addition, we applied a novel data analysis pipeline, so-called GlycoFinder, to form a basis for automated data analysis. Overall, 38 unique intact glycopeptides corresponding to eight glycosylation sites (six N-linked and two O-linked sites) were confidently identified from a standard protein mixture. This approach provided concurrent characterization of both the peptide and the glycan, thereby enabling comprehensive structural characterization of glycoproteins in a single LC-MS/MS analysis.
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Li
L
Cao
Environmental Molecular Science Laboratory, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Nikola
N
Tolić
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Yi
Y
Qu
Computational Sciences & Mathematics Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Da
D
Meng
Environmental Molecular Science Laboratory, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Rui
R
Zhao
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Qibin
Q
Zhang
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Ronald J
RJ
Moore
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Erika M
EM
Zink
Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Mary S
MS
Lipton
Environmental Molecular Science Laboratory, Pacific Northwest National Laboratories, Richland, WA 99352, USA.
Ljiljana
L
Paša-Tolić
Environmental Molecular Science Laboratory, Pacific Northwest National Laboratories, Richland, WA 99352, USA. Electronic address: si.wu@pnnl.gov.
Si
S
Wu
D000595:Amino Acid Sequence; D001234:Aspergillus niger; D002853:Chromatography, Liquid / Q000379:methods*; D006020:Glycopeptides / Q000737:chemistry* / Q000302:isolation & purification; D006031:Glycosylation; D008969:Molecular Sequence Data; D009584:Nitrogen / Q000737:chemistry*; D010100:Oxygen / Q000737:chemistry*; D011134:Polysaccharides / Q000737:chemistry; D053719:Tandem Mass Spectrometry / Q000379:methods*
D006020:Glycopeptides; D011134:Polysaccharides; D009584:Nitrogen; D010100:Oxygen
Automated identification; Glycopeptides; Glycosylation; HCD; LC–MS/MS; NCE