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GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions

SUMMARY: Many eukaryotic proteins are modified by N-glycans. Liquid chromatography (ultra-performance –UPLC and high-performance–HPLC) coupled with mass spectrometry (MS) is conventionally used to characterize N-glycan structures. Software can automatically assign glycan structures by matching their...

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Autores principales: Walsh, Ian, Nguyen-Khuong, Terry, Wongtrakul-Kish, Katherine, Tay, Shi Jie, Chew, Daniel, José, Tasha, Taron, Christopher H, Rudd, Pauline M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378934/
https://www.ncbi.nlm.nih.gov/pubmed/30101321
http://dx.doi.org/10.1093/bioinformatics/bty681
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author Walsh, Ian
Nguyen-Khuong, Terry
Wongtrakul-Kish, Katherine
Tay, Shi Jie
Chew, Daniel
José, Tasha
Taron, Christopher H
Rudd, Pauline M
author_facet Walsh, Ian
Nguyen-Khuong, Terry
Wongtrakul-Kish, Katherine
Tay, Shi Jie
Chew, Daniel
José, Tasha
Taron, Christopher H
Rudd, Pauline M
author_sort Walsh, Ian
collection PubMed
description SUMMARY: Many eukaryotic proteins are modified by N-glycans. Liquid chromatography (ultra-performance –UPLC and high-performance–HPLC) coupled with mass spectrometry (MS) is conventionally used to characterize N-glycan structures. Software can automatically assign glycan structures by matching their observed retention times and masses with standardized values in reference databases. However, more precise confirmation of N-glycan structures can be derived using exoglycosidases, enzymes that remove specific monosaccharides from glycans. Exoglycosidase removal of monosaccharides results in signature peak shifts, in both UPLC and MS1, yielding an effective way to verify N-glycan structure with high detail (down to the position and isomeric linkage of each monosaccharide). Because manual interpretation of exoglycosidase data is complex and time consuming, we developed GlycanAnalyzer, a web application that pattern matches N-glycan peak shifts following exoglycosidase digestion and automates structure assignments. GlycanAnalyzer significantly improves assignment accuracy over other auto-assignment methods on tests with a monoclonal antibody and four glycan standards (100% versus 82% for the next best software). By automating data interpretation, GlycanAnalyzer enables the easier use of exoglycosidases to precisely define N-glycan structure. AVAILABILITY AND IMPLEMENTATION: http://glycananalyzer.neb.com. Datasets available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-63789342019-02-22 GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions Walsh, Ian Nguyen-Khuong, Terry Wongtrakul-Kish, Katherine Tay, Shi Jie Chew, Daniel José, Tasha Taron, Christopher H Rudd, Pauline M Bioinformatics Applications Notes SUMMARY: Many eukaryotic proteins are modified by N-glycans. Liquid chromatography (ultra-performance –UPLC and high-performance–HPLC) coupled with mass spectrometry (MS) is conventionally used to characterize N-glycan structures. Software can automatically assign glycan structures by matching their observed retention times and masses with standardized values in reference databases. However, more precise confirmation of N-glycan structures can be derived using exoglycosidases, enzymes that remove specific monosaccharides from glycans. Exoglycosidase removal of monosaccharides results in signature peak shifts, in both UPLC and MS1, yielding an effective way to verify N-glycan structure with high detail (down to the position and isomeric linkage of each monosaccharide). Because manual interpretation of exoglycosidase data is complex and time consuming, we developed GlycanAnalyzer, a web application that pattern matches N-glycan peak shifts following exoglycosidase digestion and automates structure assignments. GlycanAnalyzer significantly improves assignment accuracy over other auto-assignment methods on tests with a monoclonal antibody and four glycan standards (100% versus 82% for the next best software). By automating data interpretation, GlycanAnalyzer enables the easier use of exoglycosidases to precisely define N-glycan structure. AVAILABILITY AND IMPLEMENTATION: http://glycananalyzer.neb.com. Datasets available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-02-15 2018-08-07 /pmc/articles/PMC6378934/ /pubmed/30101321 http://dx.doi.org/10.1093/bioinformatics/bty681 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Walsh, Ian
Nguyen-Khuong, Terry
Wongtrakul-Kish, Katherine
Tay, Shi Jie
Chew, Daniel
José, Tasha
Taron, Christopher H
Rudd, Pauline M
GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title_full GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title_fullStr GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title_full_unstemmed GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title_short GlycanAnalyzer: software for automated interpretation of N-glycan profiles after exoglycosidase digestions
title_sort glycananalyzer: software for automated interpretation of n-glycan profiles after exoglycosidase digestions
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378934/
https://www.ncbi.nlm.nih.gov/pubmed/30101321
http://dx.doi.org/10.1093/bioinformatics/bty681
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