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Polysialylated N-Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations and ESI-MS.

TitlePolysialylated N-Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations and ESI-MS.
Publication TypeJournal Article
Year of Publication2014
AuthorsKronewitter SRyan, Marginean I, Cox JT, Zhao R, Hagler CD, Shukla AK, Carlson TS, Adkins JN, Camp DG, Moore RJ, Rodland KD, Smith RD
JournalAnal Chem
Abstract

The N-glycan diversity of human serum glycoproteins, i.e., the human blood serum N-glycome, is both complex and constrained by the range of glycan structures potentially synthesizable by human glycosylation enzymes. The known glycome, however, has been further limited by methods of sample preparation, available analytical platforms, e.g., based upon electrospray ionization-mass spectrometry (ESI-MS), and software tools for data analysis. In this report several improvements have been implemented in sample preparation and analysis to extend ESI-MS glycan characterization and to include polysialylated N-glycans. Sample preparation improvements included acidified, microwave-accelerated, PNGase F N-glycan release to promote lactonization, and sodium borohydride reduction, that were both optimized to improve quantitative yields and conserve the number of glycoforms detected. Two-stage desalting (during solid phase extraction and on the analytical column) increased sensitivity by reducing analyte signal division between multiple reducing-end-forms or cation adducts. On-line separations were improved by using extended length graphitized carbon columns and adding TFA as an acid modifier to a formic acid/reversed phase gradient, providing additional resolving power and significantly improved desorption of both large and heavily sialylated glycans. To improve MS sensitivity and provide gentler ionization conditions at the source-MS interface, subambient pressure ionization with nanoelectrospray (SPIN) was utilized. When these improved methods are combined together with the Glycomics Quintavariate Informed Quantification (GlyQ-IQ) recently described1, we are able to significantly extend glycan detection sensitivity and provide expanded glycan coverage. We demonstrated the application of these advances in the context of the human serum glycome, and for which our initial observations included the detection of a new class of heavily sialylated N-glycans, including polysialylated N-glycans.

DOI10.1021/ac501839b
Alternate JournalAnal. Chem.
PubMed ID25118826
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