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Multivalent Affinity Profiling: Direct Visualization of the Superselective Binding of Influenza Viruses
[Image: see text] The influenza A virus (IAV) interacts with the glycocalyx of host cells through its surface proteins hemagglutinin (HA) and neuraminidase (NA). Quantitative biophysical measurements of these interactions may help to understand these interactions at the molecular level with the long...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158855/ https://www.ncbi.nlm.nih.gov/pubmed/33978406 http://dx.doi.org/10.1021/acsnano.1c00166 |
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author | Overeem, Nico J. Hamming, P. H. (Erik) Tieke, Malte van der Vries, Erhard Huskens, Jurriaan |
author_facet | Overeem, Nico J. Hamming, P. H. (Erik) Tieke, Malte van der Vries, Erhard Huskens, Jurriaan |
author_sort | Overeem, Nico J. |
collection | PubMed |
description | [Image: see text] The influenza A virus (IAV) interacts with the glycocalyx of host cells through its surface proteins hemagglutinin (HA) and neuraminidase (NA). Quantitative biophysical measurements of these interactions may help to understand these interactions at the molecular level with the long-term aim to predict influenza infectivity and answer other biological questions. We developed a method, called multivalent affinity profiling (MAP), to measure virus binding profiles on receptor density gradients to determine the threshold receptor density, which is a quantitative measure of virus avidity toward a receptor. Here, we show that imaging of IAVs on receptor density gradients allows the direct visualization and efficient assessment of their superselective binding. We show how the multivalent binding of IAVs can be quantitatively assessed using MAP if the receptor density gradients are prepared around the threshold receptor density without crowding at the higher densities. The threshold receptor density increases strongly with increasing flow rate, showing that the superselective binding of IAV is influenced by shear force. This method of visualization and quantitative assessment of superselective binding allows not only comparative studies of IAV–receptor interactions, but also more fundamental studies of how superselectivity arises and is influenced by experimental conditions. |
format | Online Article Text |
id | pubmed-8158855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81588552021-05-28 Multivalent Affinity Profiling: Direct Visualization of the Superselective Binding of Influenza Viruses Overeem, Nico J. Hamming, P. H. (Erik) Tieke, Malte van der Vries, Erhard Huskens, Jurriaan ACS Nano [Image: see text] The influenza A virus (IAV) interacts with the glycocalyx of host cells through its surface proteins hemagglutinin (HA) and neuraminidase (NA). Quantitative biophysical measurements of these interactions may help to understand these interactions at the molecular level with the long-term aim to predict influenza infectivity and answer other biological questions. We developed a method, called multivalent affinity profiling (MAP), to measure virus binding profiles on receptor density gradients to determine the threshold receptor density, which is a quantitative measure of virus avidity toward a receptor. Here, we show that imaging of IAVs on receptor density gradients allows the direct visualization and efficient assessment of their superselective binding. We show how the multivalent binding of IAVs can be quantitatively assessed using MAP if the receptor density gradients are prepared around the threshold receptor density without crowding at the higher densities. The threshold receptor density increases strongly with increasing flow rate, showing that the superselective binding of IAV is influenced by shear force. This method of visualization and quantitative assessment of superselective binding allows not only comparative studies of IAV–receptor interactions, but also more fundamental studies of how superselectivity arises and is influenced by experimental conditions. American Chemical Society 2021-05-12 2021-05-25 /pmc/articles/PMC8158855/ /pubmed/33978406 http://dx.doi.org/10.1021/acsnano.1c00166 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Overeem, Nico J. Hamming, P. H. (Erik) Tieke, Malte van der Vries, Erhard Huskens, Jurriaan Multivalent Affinity Profiling: Direct Visualization of the Superselective Binding of Influenza Viruses |
title | Multivalent
Affinity Profiling: Direct Visualization
of the Superselective Binding of Influenza Viruses |
title_full | Multivalent
Affinity Profiling: Direct Visualization
of the Superselective Binding of Influenza Viruses |
title_fullStr | Multivalent
Affinity Profiling: Direct Visualization
of the Superselective Binding of Influenza Viruses |
title_full_unstemmed | Multivalent
Affinity Profiling: Direct Visualization
of the Superselective Binding of Influenza Viruses |
title_short | Multivalent
Affinity Profiling: Direct Visualization
of the Superselective Binding of Influenza Viruses |
title_sort | multivalent
affinity profiling: direct visualization
of the superselective binding of influenza viruses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158855/ https://www.ncbi.nlm.nih.gov/pubmed/33978406 http://dx.doi.org/10.1021/acsnano.1c00166 |
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