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Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples.

ABSTRACT: The in-depth, high-sensitivity characterization of the glycome from complex biological samples, such as biofluids and tissues, is of utmost importance in basic biological research and biomarker discovery. Major challenges often arise from the vast structural diversity of glycans in combination with limited sample amounts. Here, we present a method for the highly sensitive characterization of released N-glycans by combining a capillary electrophoresis-electrospray ionization-mass spectrometry (CE-ESI-MS) approach with linkage-specific derivatization of sialic acids and uniform cationic reducing end labelling of all glycans. This method allows the analysis of glycans at the attomole level, provides information on sialic acid isomers and enables the in-depth characterization of complex samples, even when available in minute amounts.

SUBMITTER: Lageveen-Kammeijer GSM

PROVIDER: S-EPMC6513864 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples.

Lageveen-Kammeijer Guinevere S M GSM de Haan Noortje N Mohaupt Pablo P Wagt Sander S Filius Mike M Nouta Jan J Falck David D Wuhrer Manfred M

Nature communications 20190513 1

The in-depth, high-sensitivity characterization of the glycome from complex biological samples, such as biofluids and tissues, is of utmost importance in basic biological research and biomarker discovery. Major challenges often arise from the vast structural diversity of glycans in combination with limited sample amounts. Here, we present a method for the highly sensitive characterization of released N-glycans by combining a capillary electrophoresis-electrospray ionization-mass spectrometry (CE ...[more]

PMID: 31086181

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Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples

Project description:This data set contains all raw data files in the mzXML (for CE-ESI-MS data) or xy (for MALDI-TOF-MS data) format that belongs to the manuscript "Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples" by Guinevere S.M. Lageveen-Kammeijer, Noortje de Haan, Pablo Mohaupt, Sander Wagt, Mike Filius, Jan Nouta, David Falck and Manfred Wuhrer.

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