Stockmann, Henning, O'Flaherty, Roisin, Adamczyk, B., 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 |
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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: | 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) |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15034 |
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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