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Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy

Mucins are the main components of the gastrointestinal mucus layer. Mucin glycosylation is critical to most intermolecular and intercellular interactions. However, due to the highly complex and heterogeneous mucin glycan structures, the encoded biological information remains largely encrypted. Here...

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Autores principales: Gunning, A. Patrick, Kirby, Andrew R., Fuell, Christine, Pin, Carmen, Tailford, Louise E., Juge, Nathalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Federation of American Societies for Experimental Biology 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3659345/
https://www.ncbi.nlm.nih.gov/pubmed/23493619
http://dx.doi.org/10.1096/fj.12-221416
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author Gunning, A. Patrick
Kirby, Andrew R.
Fuell, Christine
Pin, Carmen
Tailford, Louise E.
Juge, Nathalie
author_facet Gunning, A. Patrick
Kirby, Andrew R.
Fuell, Christine
Pin, Carmen
Tailford, Louise E.
Juge, Nathalie
author_sort Gunning, A. Patrick
collection PubMed
description Mucins are the main components of the gastrointestinal mucus layer. Mucin glycosylation is critical to most intermolecular and intercellular interactions. However, due to the highly complex and heterogeneous mucin glycan structures, the encoded biological information remains largely encrypted. Here we have developed a methodology based on force spectroscopy to identify biologically accessible glycoepitopes in purified porcine gastric mucin (pPGM) and purified porcine jejunal mucin (pPJM). The binding specificity of lectins Ricinus communis agglutinin I (RCA), peanut (Arachis hypogaea) agglutinin (PNA), Maackia amurensis lectin II (MALII), and Ulex europaeus agglutinin I (UEA) was utilized in force spectroscopy measurements to quantify the affinity and spatial distribution of their cognate sugars at the molecular scale. Binding energy of 4, 1.6, and 26 aJ was determined on pPGM for RCA, PNA, and UEA. Binding was abolished by competition with free ligands, demonstrating the validity of the affinity data. The distributions of the nearest binding site separations estimated the number of binding sites in a 200-nm mucin segment to be 4 for RCA, PNA, and UEA, and 1.8 for MALII. Binding site separations were affected by partial defucosylation of pPGM. Furthermore, we showed that this new approach can resolve differences between gastric and jejunum mucins.—Gunning, A. P., Kirby, A. R., Fuell, C., Pin, C., Tailford L. E., Juge, N. Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy.
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spelling pubmed-36593452013-06-06 Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy Gunning, A. Patrick Kirby, Andrew R. Fuell, Christine Pin, Carmen Tailford, Louise E. Juge, Nathalie FASEB J Research Communications Mucins are the main components of the gastrointestinal mucus layer. Mucin glycosylation is critical to most intermolecular and intercellular interactions. However, due to the highly complex and heterogeneous mucin glycan structures, the encoded biological information remains largely encrypted. Here we have developed a methodology based on force spectroscopy to identify biologically accessible glycoepitopes in purified porcine gastric mucin (pPGM) and purified porcine jejunal mucin (pPJM). The binding specificity of lectins Ricinus communis agglutinin I (RCA), peanut (Arachis hypogaea) agglutinin (PNA), Maackia amurensis lectin II (MALII), and Ulex europaeus agglutinin I (UEA) was utilized in force spectroscopy measurements to quantify the affinity and spatial distribution of their cognate sugars at the molecular scale. Binding energy of 4, 1.6, and 26 aJ was determined on pPGM for RCA, PNA, and UEA. Binding was abolished by competition with free ligands, demonstrating the validity of the affinity data. The distributions of the nearest binding site separations estimated the number of binding sites in a 200-nm mucin segment to be 4 for RCA, PNA, and UEA, and 1.8 for MALII. Binding site separations were affected by partial defucosylation of pPGM. Furthermore, we showed that this new approach can resolve differences between gastric and jejunum mucins.—Gunning, A. P., Kirby, A. R., Fuell, C., Pin, C., Tailford L. E., Juge, N. Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy. Federation of American Societies for Experimental Biology 2013-06 /pmc/articles/PMC3659345/ /pubmed/23493619 http://dx.doi.org/10.1096/fj.12-221416 Text en © FASEB This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/us/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Communications
Gunning, A. Patrick
Kirby, Andrew R.
Fuell, Christine
Pin, Carmen
Tailford, Louise E.
Juge, Nathalie
Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title_full Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title_fullStr Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title_full_unstemmed Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title_short Mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
title_sort mining the “glycocode”—exploring the spatial distribution of glycans in gastrointestinal mucin using force spectroscopy
topic Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3659345/
https://www.ncbi.nlm.nih.gov/pubmed/23493619
http://dx.doi.org/10.1096/fj.12-221416
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