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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...

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Autores principales: Kao, Kevin S., Gupta, Aaron, Zong, Guanghui, Li, Chao, Kerschbaumer, Isabell, Borghi, Sara, Achkar, Jacqueline M., Bournazos, Stylianos, Wang, Lai-Xi, Ravetch, Jeffrey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
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.
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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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