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Synthetic nanobodies as tools to distinguish IgG Fc glycoforms
Protein glycosylation is a crucial mediator of biological functions and is tightly regulated in health and disease. However, interrogating complex protein glycoforms is challenging, as current lectin tools are limited by cross-reactivity while mass spectrometry typically requires biochemical purific...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860306/ https://www.ncbi.nlm.nih.gov/pubmed/36409896 http://dx.doi.org/10.1073/pnas.2212658119 |
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author | Kao, Kevin S. Gupta, Aaron Zong, Guanghui Li, Chao Kerschbaumer, Isabell Borghi, Sara Achkar, Jacqueline M. Bournazos, Stylianos Wang, Lai-Xi Ravetch, Jeffrey V. |
author_facet | Kao, Kevin S. Gupta, Aaron Zong, Guanghui Li, Chao Kerschbaumer, Isabell Borghi, Sara Achkar, Jacqueline M. Bournazos, Stylianos Wang, Lai-Xi Ravetch, Jeffrey V. |
author_sort | Kao, Kevin S. |
collection | PubMed |
description | Protein glycosylation is a crucial mediator of biological functions and is tightly regulated in health and disease. However, interrogating complex protein glycoforms is challenging, as current lectin tools are limited by cross-reactivity while mass spectrometry typically requires biochemical purification and isolation of the target protein. Here, we describe a method to identify and characterize a class of nanobodies that can distinguish glycoforms without reactivity to off-target glycoproteins or glycans. We apply this technology to immunoglobulin G (IgG) Fc glycoforms and define nanobodies that specifically recognize either IgG lacking its core-fucose or IgG bearing terminal sialic acid residues. By adapting these tools to standard biochemical methods, we can clinically stratify dengue virus and SARS-CoV-2 infected individuals based on their IgG glycan profile, selectively disrupt IgG–Fcγ receptor binding both in vitro and in vivo, and interrogate the B cell receptor (BCR) glycan structure on living cells. Ultimately, we provide a strategy for the development of reagents to identify and manipulate IgG Fc glycoforms. |
format | Online Article Text |
id | pubmed-9860306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-98603062023-02-01 Synthetic nanobodies as tools to distinguish IgG Fc glycoforms Kao, Kevin S. Gupta, Aaron Zong, Guanghui Li, Chao Kerschbaumer, Isabell Borghi, Sara Achkar, Jacqueline M. Bournazos, Stylianos Wang, Lai-Xi Ravetch, Jeffrey V. Proc Natl Acad Sci U S A Biological Sciences Protein glycosylation is a crucial mediator of biological functions and is tightly regulated in health and disease. However, interrogating complex protein glycoforms is challenging, as current lectin tools are limited by cross-reactivity while mass spectrometry typically requires biochemical purification and isolation of the target protein. Here, we describe a method to identify and characterize a class of nanobodies that can distinguish glycoforms without reactivity to off-target glycoproteins or glycans. We apply this technology to immunoglobulin G (IgG) Fc glycoforms and define nanobodies that specifically recognize either IgG lacking its core-fucose or IgG bearing terminal sialic acid residues. By adapting these tools to standard biochemical methods, we can clinically stratify dengue virus and SARS-CoV-2 infected individuals based on their IgG glycan profile, selectively disrupt IgG–Fcγ receptor binding both in vitro and in vivo, and interrogate the B cell receptor (BCR) glycan structure on living cells. Ultimately, we provide a strategy for the development of reagents to identify and manipulate IgG Fc glycoforms. National Academy of Sciences 2022-11-21 2022-11-29 /pmc/articles/PMC9860306/ /pubmed/36409896 http://dx.doi.org/10.1073/pnas.2212658119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Kao, Kevin S. Gupta, Aaron Zong, Guanghui Li, Chao Kerschbaumer, Isabell Borghi, Sara Achkar, Jacqueline M. Bournazos, Stylianos Wang, Lai-Xi Ravetch, Jeffrey V. Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title | Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title_full | Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title_fullStr | Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title_full_unstemmed | Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title_short | Synthetic nanobodies as tools to distinguish IgG Fc glycoforms |
title_sort | synthetic nanobodies as tools to distinguish igg fc glycoforms |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860306/ https://www.ncbi.nlm.nih.gov/pubmed/36409896 http://dx.doi.org/10.1073/pnas.2212658119 |
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