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Automated Plasma Glycomics with Linkage-Specific Sialic Acid Esterification and Ultrahigh Resolution MS
[Image: see text] High-throughput mass spectrometry (MS) glycomics is an emerging field driven by technological advancements including sample preparation and data processing. Previously, we reported an automated protocol for the analysis of N-glycans released from plasma proteins that included siali...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical
Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209171/ https://www.ncbi.nlm.nih.gov/pubmed/30230816 http://dx.doi.org/10.1021/acs.analchem.8b02391 |
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author | Vreeker, Gerda C. M. Nicolardi, Simone Bladergroen, Marco R. van der Plas, Corné J. Mesker, Wilma E. Tollenaar, Rob A. E. M. van der Burgt, Yuri E. M. Wuhrer, Manfred |
author_facet | Vreeker, Gerda C. M. Nicolardi, Simone Bladergroen, Marco R. van der Plas, Corné J. Mesker, Wilma E. Tollenaar, Rob A. E. M. van der Burgt, Yuri E. M. Wuhrer, Manfred |
author_sort | Vreeker, Gerda C. M. |
collection | PubMed |
description | [Image: see text] High-throughput mass spectrometry (MS) glycomics is an emerging field driven by technological advancements including sample preparation and data processing. Previously, we reported an automated protocol for the analysis of N-glycans released from plasma proteins that included sialic acid derivatization with linkage-specificity, namely, ethylation of α2,6-linked sialic acid residues and lactone formation of α2,3-linked sialic acids. In the current study, each step in this protocol was further optimized. Method improvements included minimizing the extent of side-reaction during derivatization, an adjusted glycan purification strategy and mass analysis of the released N-glycans by ultrahigh resolution matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance MS. The latter resolved peak overlap and simplified spectral alignment due to high mass measurement precision. Moreover, this resulted in more confident glycan assignments and improved signal-to-noise for low-abundant species. The performance of the protocol renders high-throughput applications feasible in the exciting field of clinical glycomics. |
format | Online Article Text |
id | pubmed-6209171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American
Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-62091712018-11-05 Automated Plasma Glycomics with Linkage-Specific Sialic Acid Esterification and Ultrahigh Resolution MS Vreeker, Gerda C. M. Nicolardi, Simone Bladergroen, Marco R. van der Plas, Corné J. Mesker, Wilma E. Tollenaar, Rob A. E. M. van der Burgt, Yuri E. M. Wuhrer, Manfred Anal Chem [Image: see text] High-throughput mass spectrometry (MS) glycomics is an emerging field driven by technological advancements including sample preparation and data processing. Previously, we reported an automated protocol for the analysis of N-glycans released from plasma proteins that included sialic acid derivatization with linkage-specificity, namely, ethylation of α2,6-linked sialic acid residues and lactone formation of α2,3-linked sialic acids. In the current study, each step in this protocol was further optimized. Method improvements included minimizing the extent of side-reaction during derivatization, an adjusted glycan purification strategy and mass analysis of the released N-glycans by ultrahigh resolution matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance MS. The latter resolved peak overlap and simplified spectral alignment due to high mass measurement precision. Moreover, this resulted in more confident glycan assignments and improved signal-to-noise for low-abundant species. The performance of the protocol renders high-throughput applications feasible in the exciting field of clinical glycomics. American Chemical Society 2018-09-19 2018-10-16 /pmc/articles/PMC6209171/ /pubmed/30230816 http://dx.doi.org/10.1021/acs.analchem.8b02391 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Vreeker, Gerda C. M. Nicolardi, Simone Bladergroen, Marco R. van der Plas, Corné J. Mesker, Wilma E. Tollenaar, Rob A. E. M. van der Burgt, Yuri E. M. Wuhrer, Manfred Automated Plasma Glycomics with Linkage-Specific Sialic Acid Esterification and Ultrahigh Resolution MS |
title | Automated Plasma
Glycomics with Linkage-Specific Sialic
Acid Esterification and Ultrahigh Resolution MS |
title_full | Automated Plasma
Glycomics with Linkage-Specific Sialic
Acid Esterification and Ultrahigh Resolution MS |
title_fullStr | Automated Plasma
Glycomics with Linkage-Specific Sialic
Acid Esterification and Ultrahigh Resolution MS |
title_full_unstemmed | Automated Plasma
Glycomics with Linkage-Specific Sialic
Acid Esterification and Ultrahigh Resolution MS |
title_short | Automated Plasma
Glycomics with Linkage-Specific Sialic
Acid Esterification and Ultrahigh Resolution MS |
title_sort | automated plasma
glycomics with linkage-specific sialic
acid esterification and ultrahigh resolution ms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209171/ https://www.ncbi.nlm.nih.gov/pubmed/30230816 http://dx.doi.org/10.1021/acs.analchem.8b02391 |
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