Stockmann, Henning and O'Flaherty, Roisin and Adamczyk, B. and Saldova, Radka and Rudd, P.M. (2015) Automated, high-throughput serum glycoprofiling platform. Integrative Biology, 7 (9). pp. 1026-1032. ISSN 1757-9694

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Abstract

Complex carbohydrates are rapidly becoming excellent biomarker candidates because of their high sensitivity to pathological changes. However, the discovery of clinical glycobiomarkers has been slow, due to the scarcity of high-throughput glycoanalytical workflows that allow rapid glycoprofiling of large clinical sample sets. To generate high-quality quantitative glycomics data in a high-throughput fashion, we have developed a robotized platform for rapid serum-based N-glycan sample preparation. The sample preparation workflow features a fully automated, rapid glycoprotein denaturation followed by sequential enzymatic glycan release, glycan purification on solid-supported hydrazide and fluorescent labelling. This allows accurate glycan quantitation by ultra-high performance liquid chromatography (UPLC). The sample preparation workflow was automated using an eight-channel Hamilton Robotics liquid handling workstation, allowing the preparation of almost 100 samples in 14 hours with excellent reproducibility and thus should greatly facilitate serum-based glyco-biomarker discovery.

Item Type:	Article
Additional Information:	H.S. and R.O.F. acknowledges EU FP7 program HighGlycan, grant no. 278535, for funding this work. BA acknowledges funding from the European Union FP7 GastricGlycoExplorer ITN under grant agreement no. 316929. R.S. acknowledges funding from the European Union Seventh Framework Programme (FP7/20072013) under grant agreement no. 260600 (GlycoHIT) and funding from the Science foundation Ireland Starting Investigator Research grant (SFI SIRG) under grant number 13/SIRG/2164. Cite as: H. Stöckmann, R. O'Flaherty, B. Adamczyk, R. Saldova, P. M. Rudd, Automated, high-throughput serum glycoprofiling platform, Integrative Biology, Volume 7, Issue 9, September 2015, Pages 1026–1032, https://doi-org.jproxy.nuim.ie/10.1039/c5ib00130g
Keywords:	Automated; high-throughput; serum; glycoprofiling; platform;
Academic Unit:	Faculty of Science and Engineering > Chemistry
Item ID:	15034
Identification Number:	https://doi.org/10.1039/c5ib00130g
Depositing User:	Roisin O'Flaherty
Date Deposited:	17 Nov 2021 15:28
Journal or Publication Title:	Integrative Biology
Publisher:	Royal Society of Chemistry
Refereed:	Yes
Funders:	European Union Seventh Framework Programme (FP7), Science Foundation Ireland (SFI)
URI:	https://academic.oup.com/ib
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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