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A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry
Glycan binding by glycan-binding proteins and processing by carbohydrate-active enzymes is implicated in physiological and pathophysiological processes. Comprehensive mapping of glycan interactions is essential to understanding of glycan-mediated biology and can guide the development of new diagnost...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646405/ https://www.ncbi.nlm.nih.gov/pubmed/31341967 http://dx.doi.org/10.1038/s42003-019-0507-2 |
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author | Kitov, Pavel I. Kitova, Elena N. Han, Ling Li, Zhixiong Jung, Jaesoo Rodrigues, Emily Hunter, Carmanah D. Cairo, Christopher W. Macauley, Matthew S. Klassen, John S. |
author_facet | Kitov, Pavel I. Kitova, Elena N. Han, Ling Li, Zhixiong Jung, Jaesoo Rodrigues, Emily Hunter, Carmanah D. Cairo, Christopher W. Macauley, Matthew S. Klassen, John S. |
author_sort | Kitov, Pavel I. |
collection | PubMed |
description | Glycan binding by glycan-binding proteins and processing by carbohydrate-active enzymes is implicated in physiological and pathophysiological processes. Comprehensive mapping of glycan interactions is essential to understanding of glycan-mediated biology and can guide the development of new diagnostics and therapeutics. Here, we introduce the competitive universal proxy receptor assay (CUPRA), which combines electrospray ionization mass spectrometry, competitive binding and heterobifunctional glycan-based ligands to give a quantitative high-throughput method for screening glycan libraries against glycan-binding and glycan-processing proteins. Application of the assay to human (siglec-2), plant (Sambucus nigra and Maackia amurensis lectins) and bacterial (cholera toxin, and family 51 carbohydrate binding module) proteins allowed for the identification of ligands with affinities (K(d)) ≤ 1 mM. The assay is unprecedentedly versatile and can be applied to natural libraries and, when implemented in a time-resolved manner, provides a quantitative measure of the activities and substrate specificity of carbohydrate-active enzymes. |
format | Online Article Text |
id | pubmed-6646405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66464052019-07-24 A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry Kitov, Pavel I. Kitova, Elena N. Han, Ling Li, Zhixiong Jung, Jaesoo Rodrigues, Emily Hunter, Carmanah D. Cairo, Christopher W. Macauley, Matthew S. Klassen, John S. Commun Biol Article Glycan binding by glycan-binding proteins and processing by carbohydrate-active enzymes is implicated in physiological and pathophysiological processes. Comprehensive mapping of glycan interactions is essential to understanding of glycan-mediated biology and can guide the development of new diagnostics and therapeutics. Here, we introduce the competitive universal proxy receptor assay (CUPRA), which combines electrospray ionization mass spectrometry, competitive binding and heterobifunctional glycan-based ligands to give a quantitative high-throughput method for screening glycan libraries against glycan-binding and glycan-processing proteins. Application of the assay to human (siglec-2), plant (Sambucus nigra and Maackia amurensis lectins) and bacterial (cholera toxin, and family 51 carbohydrate binding module) proteins allowed for the identification of ligands with affinities (K(d)) ≤ 1 mM. The assay is unprecedentedly versatile and can be applied to natural libraries and, when implemented in a time-resolved manner, provides a quantitative measure of the activities and substrate specificity of carbohydrate-active enzymes. Nature Publishing Group UK 2019-07-22 /pmc/articles/PMC6646405/ /pubmed/31341967 http://dx.doi.org/10.1038/s42003-019-0507-2 Text en © The Author(s) 2019 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 Kitov, Pavel I. Kitova, Elena N. Han, Ling Li, Zhixiong Jung, Jaesoo Rodrigues, Emily Hunter, Carmanah D. Cairo, Christopher W. Macauley, Matthew S. Klassen, John S. A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title | A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title_full | A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title_fullStr | A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title_full_unstemmed | A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title_short | A quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
title_sort | quantitative, high-throughput method identifies protein–glycan interactions via mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646405/ https://www.ncbi.nlm.nih.gov/pubmed/31341967 http://dx.doi.org/10.1038/s42003-019-0507-2 |
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