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Virus-like glycodendrinanoparticles displaying quasi-equivalent nested polyvalency upon glycoprotein platforms potently block viral infection

Authors: Ribeiro-Viana, R; Sánchez-Navarro, M; Luczkowiak, J; Koeppe, JR; Delgado, R; Rojo, J; Davis, B;

Virus-like glycodendrinanoparticles displaying quasi-equivalent nested polyvalency upon glycoprotein platforms potently block viral infection

Abstract

Ligand polyvalency is a powerful modulator of protein-receptor interactions. Host-pathogen infection interactions are often mediated by glycan ligand-protein interactions, yet its interrogation with very high copy number ligands has been limited to heterogenous systems. Here we report that through the use of nested layers of multivalency we are able to assemble the most highly valent glycodendrimeric constructs yet seen (bearing up to 1,620 glycans). These constructs are pure and well-defined single entities that at diameters of up to 32 nm are capable of mimicking pathogens both in size and in their highly glycosylated surfaces. Through this mimicry these glyco-dendri-protein-nano-particles are capable of blocking (at picomolar concentrations) a model of the infection of T-lymphocytes and human dendritic cells by Ebola virus. The high associated polyvalency effects (β>10(6), β/N ~10(2)-10(3)) displayed on an unprecedented surface area by precise clusters suggest a general strategy for modulation of such interactions.

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United Kingdom, Spain
Keywords

T-Lymphocytes, Receptors, Cell Surface, Dendritic Cells, Hemorrhagic Fever, Ebola, Ebolavirus, Article, Monocytes, Jurkat Cells, Host-Pathogen Interactions, DC-Specific ICAM-3 Grabbing Nonintegrin, Humans, Nanoparticles, Lectins, C-Type, Cell Adhesion Molecules, Glycoproteins

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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130
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Top 10%
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39
26
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