Highly-sensitive label-free deep profiling of N-glycans released from biomedically-relevant samples

Anne-Lise Marie, Somak Ray and Alexander R. Ivanov ()
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Anne-Lise Marie: Northeastern University
Somak Ray: Northeastern University
Alexander R. Ivanov: Northeastern University

Nature Communications, 2023, vol. 14, issue 1, 1-17

Abstract: Abstract Alterations of protein glycosylation can serve as sensitive and specific disease biomarkers. Labeling procedures for improved separation and detectability of oligosaccharides have several drawbacks, including incomplete derivatization, side-products, noticeable desialylation/defucosylation, sample loss, and interference with downstream analyses. Here, we develop a label-free workflow based on high sensitivity capillary zone electrophoresis-mass spectrometry (CZE-MS) for profiling of native underivatized released N-glycans. Our workflow provides a >45-fold increase in signal intensity compared to the conventional CZE-MS approaches used for N-glycan analysis. Qualitative and quantitative N-glycan profiling of purified human serum IgG, bovine serum fetuin, bovine pancreas ribonuclease B, blood-derived extracellular vesicle isolates, and total plasma results in the detection of >250, >400, >150, >310, and >520 N-glycans, respectively, using injected amounts equivalent to

Date: 2023
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DOI: 10.1038/s41467-023-37365-4

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