Optimized Workflow for Preparation of APTS-Labeled N-Glycans Allowing High-Throughput Analysis of Human Plasma Glycomes using 48-Channel Multiplexed CGE-LIF

LR (Renee) Ruhaak, R Hennig, C Huhn, M Borowiak, Radboud Dolhain, AM Deelder, E Rapp, M Wuhrer

Research output: Contribution to journalArticleAcademicpeer-review

119 Citations (Scopus)

Abstract

High throughput methods for oligosaccharide analysis are required when searching for glycan based biomarkers Next to mass spectrometry based methods which allow fast and reproducible analysis of such compounds further separation based techniques are needed which allow for quantitative analysis Here an optimized sample preparation method for N glycan profiling by multiplexed capillary gel electrophoresis with laser induced fluorescence detection (CGE LIF) was developed, enabling high throughput glycosylation analysis First, glycans are released enzymatically from denatured plasma glycoproteins Second, glycans are labeled with APTS using 2-picoline borane as a nontoxic and efficient reducing agent Reaction conditions are optimized for a high labeling efficiency short handling times and only limited loss of sialic acids Third samples are subjected to hydrophilic interaction chromatography (HILIC) purification at the 96 well plate format Subsequently, purified APTS labeled N glycans are analyzed by CGE LIF using a 48-capillary DNA sequencer The method was found to be robust and suitable for high-throughput glycan analysis Even though the method comprises two overnight incubations, 96 samples can be analyzed with an overall labor allocation time of 2 5 h The method was applied to serum samples from a pregnant woman, which were sampled during first second and third trimesters of pregnancy, as well as 6 weeks 3 months, and 6 months postpartum Alterations in the glycosylation patterns were observed with gestation and time after delivery
Original languageUndefined/Unknown
Pages (from-to)6655-6664
Number of pages10
JournalJournal of Proteome Research
Volume9
Issue number12
DOIs
Publication statusPublished - 2010

Research programs

  • EMC MUSC-01-31-01

Cite this