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HPLC-based analysis of serum N-glycans on a 96-well plate platform with dedicated database software
Authors:Royle Louise  Campbell Matthew P  Radcliffe Catherine M  White Dawn M  Harvey David J  Abrahams Jodie L  Kim Yun-Gon  Henry George W  Shadick Nancy A  Weinblatt Michael E  Lee David M  Rudd Pauline M  Dwek Raymond A
Institution:a Department of Biochemistry, Glycobiology Institute, University of Oxford, Oxford OX1 3QU, UK
b Dublin-Oxford Glycobiology Laboratory, National Institute for Bioprocessing Research and Training (NIBRT), Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
c Division of Rheumatology, Immunology, and Allergy, Brigham and Women’s Hospital, Boston, MA 02115, USA
Abstract:We present a robust, fully automatable technology platform that includes computer software for the detailed analysis of low femtomoles of N-linked sugars released from glycoproteins. Features include (i) sample immobilization in 96-well plates, glycan release, and fluorescent labeling; (ii) quantitative HPLC analysis, including monosaccharide sequence, linkage, and arm-specific information for charged and neutral glycans; (iii) automatic structural assignment of peaks from HPLC profiles via web-based software that accesses our database (GlycoBase) of more than 350 N-glycan structures, including 117 present in the human serum glycome; and (iv) software (autoGU) that progressively analyzes data from exoglycosidase digestions to produce a refined list of final structures. The N-glycans from a plate of 96 samples can be released and purified in 2 or 3 days and profiled in 2 days. This strategy can be used for (i) identification and screening of disease biomarkers and (ii) monitoring the production of therapeutic glycoproteins, allowing optimization of production conditions. This technology is also suitable for preparing released glycans for other analytical techniques. Here we demonstrate its application to rheumatoid arthritis using 5 μl of patient serum.
Keywords:N-glycans  Glycomics  Glycan database  Rheumatoid arthritis
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