Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/190701
Title: Determination of Sialic Acid Isomers from Released N-Glycans Using Ion Mobility Spectrometry
Author: Manz, Christian
Mancera Arteu, Montserrat
Zappe, Andreas
Hanozin, Emeline
Polewski, Lukasz
Giménez López, Estela
Sanz Nebot, María Victoria
Pagel, Kevin
Keywords: Biopolímers
Espectrometria de masses
Ions
Biopolymers
Mass spectrometry
Ions
Issue Date: 19-Sep-2022
Publisher: American Chemical Society
Abstract: Complex carbohydrates are ubiquitous in nature and represent one of the major classes of biopolymers. They can exhibit highly diverse structures with multiple branched sites as well as a complex regio- and stereochemistry. A common way to analytically address this complexity is liquid chromatography (LC) in combination with mass spectrometry (MS). However, MS-based detection often does not provide sufficient information to distinguish glycan isomers. Ion mobility-mass spectrometry (IM-MS)─a technique that separates ions based on their size, charge, and shape─has recently shown great potential to solve this problem by identifying characteristic isomeric glycan features such as the sialylation and fucosylation pattern. However, while both LC-MS and IM-MS have clearly proven their individual capabilities for glycan analysis, attempts to combine both methods into a consistent workflow are lacking. Here, we close this gap and combine hydrophilic interaction liquid chromatography (HILIC) with IM-MS to analyze the glycan structures released from human alpha-1-acid glycoprotein (hAGP). HILIC separates the crude mixture of highly sialylated multi-antennary glycans, MS provides information on glycan composition, and IMS is used to distinguish and quantify α2,6- and α2,3-linked sialic acid isomers based on characteristic fragments. Further, the technique can support the assignment of antenna fucosylation. This feature mapping can confidently assign glycan isomers with multiple sialic acids within one LC-IM-MS run and is fully compatible with existing workflows for N-glycan analysis.
Note: Reproducció del document publicat a: https://doi.org/10.1021/acs.analchem.2c00783
It is part of: Analytical Chemistry, 2022, vol. 94, p. 13323-13331
URI: http://hdl.handle.net/2445/190701
Related resource: https://doi.org/10.1021/acs.analchem.2c00783
ISSN: 0003-2700
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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