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

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  • Anne-Lise Marie

    (Northeastern University)

  • Somak Ray

    (Northeastern University)

  • Alexander R. Ivanov

    (Northeastern University)

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

Suggested Citation

  • Anne-Lise Marie & Somak Ray & Alexander R. Ivanov, 2023. "Highly-sensitive label-free deep profiling of N-glycans released from biomedically-relevant samples," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37365-4
    DOI: 10.1038/s41467-023-37365-4
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