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Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics

The cell plasma membrane provides a highly interactive platform for the information transfer between the inside and outside of cells. The surface glycoprotein interaction network is extremely important in many extracellular events, and aberrant protein interactions are closely correlated with variou...

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Detalles Bibliográficos
Autores principales: Sun, Fangxu, Suttapitugsakul, Suttipong, Wu, Ronghu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179341/
https://www.ncbi.nlm.nih.gov/pubmed/34163979
http://dx.doi.org/10.1039/d0sc06327d
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author Sun, Fangxu
Suttapitugsakul, Suttipong
Wu, Ronghu
author_facet Sun, Fangxu
Suttapitugsakul, Suttipong
Wu, Ronghu
author_sort Sun, Fangxu
collection PubMed
description The cell plasma membrane provides a highly interactive platform for the information transfer between the inside and outside of cells. The surface glycoprotein interaction network is extremely important in many extracellular events, and aberrant protein interactions are closely correlated with various diseases including cancer. Comprehensive analysis of cell surface protein interactions will deepen our understanding of the collaborations among surface proteins to regulate cellular activity. In this work, we developed a method integrating chemical crosslinking, an enzymatic reaction, and MS-based proteomics to systematically characterize proteins interacting with surface glycoproteins, and then constructed the surfaceome interaction network. Glycans covalently bound to proteins were employed as “baits”, and proteins that interact with surface glycoproteins were connected using chemical crosslinking. Glycans on surface glycoproteins were oxidized with galactose oxidase (GAO) and sequentially surface glycoproteins together with their interactors (“prey”) were enriched through hydrazide chemistry. In combination with quantitative proteomics, over 300 proteins interacting with surface glycoproteins were identified. Many important domains related to extracellular events were found on these proteins. Based on the protein–protein interaction database, we constructed the interaction network among the identified proteins, in which the hub proteins play more important roles in the interactome. Through analysis of crosslinked peptides, specific interactors were identified for glycoproteins on the cell surface. The newly developed method can be extensively applied to study glycoprotein interactions on the cell surface, including the dynamics of the surfaceome interactions in cells with external stimuli.
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spelling pubmed-81793412021-06-22 Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics Sun, Fangxu Suttapitugsakul, Suttipong Wu, Ronghu Chem Sci Chemistry The cell plasma membrane provides a highly interactive platform for the information transfer between the inside and outside of cells. The surface glycoprotein interaction network is extremely important in many extracellular events, and aberrant protein interactions are closely correlated with various diseases including cancer. Comprehensive analysis of cell surface protein interactions will deepen our understanding of the collaborations among surface proteins to regulate cellular activity. In this work, we developed a method integrating chemical crosslinking, an enzymatic reaction, and MS-based proteomics to systematically characterize proteins interacting with surface glycoproteins, and then constructed the surfaceome interaction network. Glycans covalently bound to proteins were employed as “baits”, and proteins that interact with surface glycoproteins were connected using chemical crosslinking. Glycans on surface glycoproteins were oxidized with galactose oxidase (GAO) and sequentially surface glycoproteins together with their interactors (“prey”) were enriched through hydrazide chemistry. In combination with quantitative proteomics, over 300 proteins interacting with surface glycoproteins were identified. Many important domains related to extracellular events were found on these proteins. Based on the protein–protein interaction database, we constructed the interaction network among the identified proteins, in which the hub proteins play more important roles in the interactome. Through analysis of crosslinked peptides, specific interactors were identified for glycoproteins on the cell surface. The newly developed method can be extensively applied to study glycoprotein interactions on the cell surface, including the dynamics of the surfaceome interactions in cells with external stimuli. The Royal Society of Chemistry 2021-01-04 /pmc/articles/PMC8179341/ /pubmed/34163979 http://dx.doi.org/10.1039/d0sc06327d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Sun, Fangxu
Suttapitugsakul, Suttipong
Wu, Ronghu
Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title_full Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title_fullStr Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title_full_unstemmed Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title_short Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics
title_sort unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with ms-based proteomics
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179341/
https://www.ncbi.nlm.nih.gov/pubmed/34163979
http://dx.doi.org/10.1039/d0sc06327d
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