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Data for Tuning aggregative versus non-aggregative lectin binding with glycosylated nanoparticles by the nature of the polymer ligand

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Gibson, Matthew I., Georgiou, Panagiotis G., Baker, Alexander, Richards, Sarah-Jane, Walker, Marc and Laezza, Antonio (2020) Data for Tuning aggregative versus non-aggregative lectin binding with glycosylated nanoparticles by the nature of the polymer ligand. [Dataset]

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Abstract

Glycan–lectin interactions drive a diverse range of biological signaling and recognition processes. The display of glycans in multivalent format enables their intrinsically weak binding affinity to lectins to be overcome by the cluster glycoside effect, which results in a non-linear increase in binding affinity. As many lectins have multiple binding sites, upon interaction with glycosylated nanomaterials either aggregation or surface binding without aggregation can occur. Depending on the application area, either one of these responses are desirable (or undesirable) but methods to tune the aggregation state, independently from the overall extent/affinity of binding are currently missing. Herein, we use gold nanoparticles decorated with galactose-terminated polymer ligands, obtained by photo-initiated RAFT polymerization to ensure high end-group fidelity, to show the dramatic impact on agglutination behaviour due to the chemistry of the polymer linker. Poly(N-hydroxyethyl acrylamide) (PHEA)-coated gold nanoparticles, a polymer widely used as a non-ionic stabilizer, showed preference for aggregation with lectins compared to poly(N-(2-hydroxypropyl)methacrylamide) (PHPMA)-coated nanoparticles which retained colloidal stability, across a wide range of polymer lengths and particle core sizes. Using biolayer interferometry, it was observed that both coatings gave rise to similar binding affinity and hence provided conclusive evidence that aggregation rate alone cannot be used to measure affinity between nanoparticle systems with different stabilizing linkers. This is significant, as turbidimetry is widely used to demonstrate glycomaterial activity, although this work shows the most aggregating may not be the most avid, when comparing different polymer backbones/coating. Overall, our findings underline the potential of PHPMA as the coating of choice for applications where aggregation upon lectin binding would be problematic, such as in vivo imaging or drug delivery.

Item Type: Dataset
Subjects: Q Science > QP Physiology
R Medicine > RS Pharmacy and materia medica
Divisions: Faculty of Science > Chemistry
Faculty of Science > Physics
Type of Data: Experimental data
Library of Congress Subject Headings (LCSH): Lectins, Nanoparticles, Ligand binding (Biochemistry), Ligands (Biochemistry)
Publisher: Department of Chemistry
Official Date: 26 February 2020
Dates:
DateEvent
26 February 2020Published
Date of first compliant deposit: 26 February 2020
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .xlsx .vms .dsw
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

--> Software required:
Microsoft excel, .vms files, .dsw files, LOG files, OPJU files, ASP files
-->Data organisation:
Original data for analytical methods is included here.
This is in format of excel spreadsheets where possible.

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
814236H2020 European Research Councilhttp://dx.doi.org/10.13039/100010663
CRYOMAT 638661European Research Councilhttp://dx.doi.org/10.13039/501100000781
BB/M02878X/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
BB/M01116X/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
UNSPECIFIEDIceni Diagnostics Ltd. (Firm)http://www.icenidiagnostics.com/
BB/M01116X[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
BB/M02878X/1Innovate UKhttp://dx.doi.org/10.13039/501100006041
UNSPECIFIED[RS] Royal Societyhttp://dx.doi.org/10.13039/501100000288
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Contributors:
ContributionNameContributor ID
DepositorGibson, Matthew I.32015

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