Polysialylated N-Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations, and Electrospray Ionization-Mass Spectrometry

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• 作者：Scott R. Kronewitter ; Ioan Marginean ; Jonathan T. Cox ; Rui Zhao ; Clay D. Hagler ; Anil K. Shukla ; Timothy S. Carlson ; Joshua N. Adkins ; David G. Camp ; II ; Ronald J. Moore ; Karin D. Rodland ; Richard D. Smith
• 刊名：Analytical Chemistry
• 出版年：2014
• 出版时间：September 2, 2014
• 年：2014
• 卷：86
• 期：17
• 页码：8700-8710
• 全文大小：636K
• ISSN：1520-6882

文摘

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. Online 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 described (Kronewitter et al. Anal. Chem. 2014, 86, 6268鈭?276), 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.