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An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins
Protein glycosylation is ubiquitous in biological systems and essential for cell survival. However, the heterogeneity of glycans and the low abundance of many glycoproteins complicate their global analysis. Chemical methods based on reversible covalent interactions between boronic acid and glycans h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923262/ https://www.ncbi.nlm.nih.gov/pubmed/29703890 http://dx.doi.org/10.1038/s41467-018-04081-3 |
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author | Xiao, Haopeng Chen, Weixuan Smeekens, Johanna M. Wu, Ronghu |
author_facet | Xiao, Haopeng Chen, Weixuan Smeekens, Johanna M. Wu, Ronghu |
author_sort | Xiao, Haopeng |
collection | PubMed |
description | Protein glycosylation is ubiquitous in biological systems and essential for cell survival. However, the heterogeneity of glycans and the low abundance of many glycoproteins complicate their global analysis. Chemical methods based on reversible covalent interactions between boronic acid and glycans have great potential to enrich glycopeptides, but the binding affinity is typically not strong enough to capture low-abundance species. Here, we develop a strategy using dendrimer-conjugated benzoboroxole to enhance the glycopeptide enrichment. We test the performance of several boronic acid derivatives, showing that benzoboroxole markedly increases glycopeptide coverage from human cell lysates. The enrichment is further improved by conjugating benzoboroxole to a dendrimer, which enables synergistic benzoboroxole–glycan interactions. This robust and simple method is highly effective for sensitive glycoproteomics analysis, especially capturing low-abundance glycopeptides. Importantly, the enriched glycopeptides remain intact, making the current method compatible with mass-spectrometry-based approaches to identify glycosylation sites and glycan structures. |
format | Online Article Text |
id | pubmed-5923262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59232622018-04-30 An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins Xiao, Haopeng Chen, Weixuan Smeekens, Johanna M. Wu, Ronghu Nat Commun Article Protein glycosylation is ubiquitous in biological systems and essential for cell survival. However, the heterogeneity of glycans and the low abundance of many glycoproteins complicate their global analysis. Chemical methods based on reversible covalent interactions between boronic acid and glycans have great potential to enrich glycopeptides, but the binding affinity is typically not strong enough to capture low-abundance species. Here, we develop a strategy using dendrimer-conjugated benzoboroxole to enhance the glycopeptide enrichment. We test the performance of several boronic acid derivatives, showing that benzoboroxole markedly increases glycopeptide coverage from human cell lysates. The enrichment is further improved by conjugating benzoboroxole to a dendrimer, which enables synergistic benzoboroxole–glycan interactions. This robust and simple method is highly effective for sensitive glycoproteomics analysis, especially capturing low-abundance glycopeptides. Importantly, the enriched glycopeptides remain intact, making the current method compatible with mass-spectrometry-based approaches to identify glycosylation sites and glycan structures. Nature Publishing Group UK 2018-04-27 /pmc/articles/PMC5923262/ /pubmed/29703890 http://dx.doi.org/10.1038/s41467-018-04081-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xiao, Haopeng Chen, Weixuan Smeekens, Johanna M. Wu, Ronghu An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title | An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title_full | An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title_fullStr | An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title_full_unstemmed | An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title_short | An enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
title_sort | enrichment method based on synergistic and reversible covalent interactions for large-scale analysis of glycoproteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923262/ https://www.ncbi.nlm.nih.gov/pubmed/29703890 http://dx.doi.org/10.1038/s41467-018-04081-3 |
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