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. 2022 Nov 18;12(51):33080-33090.
doi: 10.1039/d2ra06265h. eCollection 2022 Nov 15.

Polymer-tethered glyconanoparticle colourimetric biosensors for lectin binding: structural and experimental parameters to ensure a robust output

Affiliations

Polymer-tethered glyconanoparticle colourimetric biosensors for lectin binding: structural and experimental parameters to ensure a robust output

Julian Micallef et al. RSC Adv. .

Abstract

Glycan-lectin interactions play essential roles in biology; as the site of attachment for pathogens, cell-cell communication, and as crucial players in the immune system. Identifying if a new glycan (natural or unnatural) binds a protein partner, or if a new protein (or mutant) binds a glycan remains a non-trivial problem, with few accessible or low-cost tools available. Micro-arrays allow for the interrogation of 100's of glycans but are not widely available in individual laboratories. Biophysical techniques such as isothermal titration calorimetry, surface plasmon resonance spectrometry, biolayer interferometry and nuclear magnetic resonance spectroscopy all provide detailed understanding of glycan binding but are relatively expensive. Glycosylated plasmonic nanoparticles based on gold cores with polymeric tethers have emerged as biosensors to detect glycan-protein binding, based on colourimetric (red to blue) outputs which can be easily interpreted by a simple UV-visible spectrometer or by eye. Despite the large number of reports there are no standard protocols for each system or recommended start points, to allow a new user to deploy this technology. Here we explore the key parameters of nanoparticle size, polymeric tether length and gold concentration to provide some guidelines for how polymer-tethered glycosylated gold nanoparticles can be used to probe a new glycan/protein interactions, with minimal optimisation barriers. This work aimed to remove the need to explore chemical and nanoparticle space and hence remove a barrier for other users when deploying this system. We show that the concentration of the gold core is crucial to balance strong responses versus false positives and recommend a gold core size and polymer tether length which balances sufficient colloidal stability and output. Whilst subtle differences between glycans/lectins will impact the outcomes, these parameters should enable a lab user to quickly evaluate binding using minimal quantities of the glycan and lectin, to select candidates for further study.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1. Polymer and gold nanoparticle synthesis. (A) Synthesis of PFP-terminated polymers. (i) ACVA, 70 °C, N2(g), MeOH/toluene (1 : 1); (ii) galactosamine, DMF, TEA, 50 °C; (iii) AuHCl4·3H2O, sodium citrate; (iv) galactosylated PHEA in water and preformed AuNPs; (B) molecular weight distributions from size exclusion chromatography of PHEAs in DMF.
Fig. 2
Fig. 2. Gold nanoparticle characterisation. (A) UV-vis spectra for the gold nanoparticles synthesised; (B) representative XPS C 1s characterisation of Gal-PHEA33@AuNP39; (C) representative TEM images of the gold nanoparticles with their mean diameter indicated. Insets are the associated size histograms of a sample of 100 particles. All particles were imaged at same magnification.
Fig. 3
Fig. 3. Representative UV-vis spectroscopy of OD537 (UVmax) = 0.5 Gal-pHEA33@AuNP56 in response to (A) SBA and (B) WGA.
Fig. 4
Fig. 4. Demonstration of impact of excess analyte (lectin) on outputs. (A) Dose-responses of Abs700 (based on eqn (1) in ESI†) as a function of nanoparticle size for the three polymer lengths with lectin gradients. (B) Schematic of how particle size and lectin concentration impacts output.
Fig. 5
Fig. 5. Normalised UV-visible spectra of Gal-pHEA33@AuNP56 nanoparticles after addition of SBA, HPA or WGA. All lectins used at 0.1 mg mL−1. (A) OD537 = 1; (B) OD537 = 0.5; (C) OD537 = 0.25; (D) OD537 = 0.125. Note, the starting OD indicated was taken from non-normalised data. Normalisation is essential to allow comparison of datasets.
Fig. 6
Fig. 6. Heatmaps showing how the difference in absorbance at 700 nm for HPA versus WGA (HPA-WGA), SBA versus WGA (SBA-WGA) and buffer versus WGA (buffer-WGA) at varying polymer lengths and AuNP sizes; AuNP39 with (A) HPA-WGA; (B) SBA-WGA and (C) buffer-WGA. AuNP56 with (D) HPA-WGA; (E) SBA-WGA; (F) buffer-WGA.

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