A Glycopolymer Sensor Array That Differentiates Lectins and Bacteria

Identification of bacterial lectins offers an attractive route to the development of new diagnostics, but the design of specific sensors is complicated by the low selectivity of carbohydrate-lectin interactions. Here we describe a glycopolymer-based sensor array which can identify a selection of lectins with similar carbohydrate recognition preferences through a pattern-based approach. Receptors were generated using a polymer scaffold functionalized with an environmentally sensitive fluorophore, along with simple carbohydrate motifs. Exposure to lectins induced changes in the emission profiles of the receptors, enabling the discrimination of analytes using linear discriminant analysis. The resultant algorithm was used for lectin identification across a range of concentrations and within complex mixtures of proteins. The sensor array was shown to discriminate different strains of pathogenic bacteria, demonstrating its potential application as a rapid diagnostic tool to characterize bacterial infections and identify bacterial virulence factors such as production of adhesins and antibiotic resistance.

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Publication Details

Journal
Biomacromolecules
Published
2024-10-18
DOI
https://doi.org/10.1021/acs.biomac.4c01129
Citations
10
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.34

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article

A Glycopolymer Sensor Array That Differentiates Lectins and Bacteria

Markus Müllner, Elizabeth J. New, Martin A. Fascione, Clare S. Mahon et al.
10 citations
Biomacromolecules
Advanced biosensing and bioanalysis techniques
2.34
article

A Glycopolymer Sensor Array That Differentiates Lectins and Bacteria

Markus Müllner, Elizabeth J. New, Martin A. Fascione, Clare S. Mahon, W. Bruce Turnbull, Ville‐Petri Friman, Katrina A. Jolliffe, Kathryn G. Leslie
article en
10 citations

Abstract

Identification of bacterial lectins offers an attractive route to the development of new diagnostics, but the design of specific sensors is complicated by the low selectivity of carbohydrate-lectin interactions. Here we describe a glycopolymer-based sensor array which can identify a selection of lectins with similar carbohydrate recognition preferences through a pattern-based approach. Receptors were generated using a polymer scaffold functionalized with an environmentally sensitive fluorophore, along with simple carbohydrate motifs. Exposure to lectins induced changes in the emission profiles of the receptors, enabling the discrimination of analytes using linear discriminant analysis. The resultant algorithm was used for lectin identification across a range of concentrations and within complex mixtures of proteins. The sensor array was shown to discriminate different strains of pathogenic bacteria, demonstrating its potential application as a rapid diagnostic tool to characterize bacterial infections and identify bacterial virulence factors such as production of adhesins and antibiotic resistance.

BiomacromoleculesVol. 25(11)
The University of Sydney (AU), University of Leeds (GB), University of Helsinki (FI), Australian Research Council (AU), Durham University (GB), New York Structural Biology Center (US), Biocenter Finland (FI), Cooperative Research Centre for Polymers (AU), ARC Centre of Excellence for Innovations in Peptide and Protein Science (AU), University of York (GB)
Helsingin Yliopisto, University of Leeds, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, Nano Institute, University of Sydney, HORIZON EUROPE Marie Sklodowska-Curie Actions
Zero hunger
Openalex Percentile: Top 11%
Advanced biosensing and bioanalysis techniques
2.34
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