Identification of Isomeric N-Glycans by Conformer Distribution Fingerprinting using Ion Mobility Mass Spectrometry |
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Authors: | Dr Javier Sastre Toraño Dr Oier Aizpurua-Olaizola Na Wei Dr Tiehai Li Dr Luca Unione Dr Gonzalo Jiménez-Osés Dr Francisco Corzana Dr Victor J Somovilla Dr Juan M Falcon-Perez Prof Dr Geert-Jan Boons |
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Institution: | 1. Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands;2. The University of Georgia, Complex Carbohydrate Research Center, Athens, GA, USA;3. Center for Cooperative Research in Biosciences (CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Building 801A, 48160 Derio, Spain;4. Departamento de Química, Centro de Investigación en Síntesis Química, Universidad de La Rioja, 26006 Logroño, Spain;5. Exosomes Lab, CIC bioGUNE, CIBERehd, Derio, Spain |
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Abstract: | Glycans possess unparalleled structural complexity arising from chemically similar monosaccharide building blocks, configurations of anomeric linkages and different branching patterns, potentially giving rise to many isomers. This level of complexity is one of the main reasons that identification of exact glycan structures in biological samples still lags behind that of other biomolecules. Here, we introduce a methodology to identify isomeric N-glycans by determining gas phase conformer distributions (CDs) by measuring arrival time distributions (ATDs) using drift-tube ion mobility spectrometry-mass spectrometry. Key to the approach is the use of a range of well-defined synthetic glycans that made it possible to investigate conformer distributions in the gas phase of isomeric glycans in a systematic manner. In addition, we have computed CD fingerprints by molecular dynamics (MD) simulation, which compared well with experimentally determined CDs. It supports that ATDs resemble conformational populations in the gas phase and offer the prospect that such an approach can contribute to generating a library of CCS distributions (CCSDs) for structure identification. |
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Keywords: | carbohydrates chemo-enzymatic synthesis conformations ion mobility spectrometry mass spectrometry molecular dynamics |
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