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A glycopolymer sensor array that differentiates lectins and bacteria [dataset] Open Access
Synthetic materials that recognise bacterial lectins offer an attractive route to the development of new diagnostics, but their realisation is complicated by the generally low selectivity of carbohydrate-protein interactions, which frustrates the design of specific sensors. Here we describe a glycopolymer-based sensor array which can identify a selection of plant- and bacterially- derived lectins with similar carbohydrate recognition preferences through a pattern-based approach. Receptors within the array were generated using a polymer scaffold functionalised with an environmentally-sensitive fluorophore, along with simple carbohydrate recognition units. Exposure to lectins induced changes in the emission profiles of the receptors, enabling the discrimination of analytes via a machine learning approach. The resultant algorithm was used for lectin identification across a range of concentrations, and within complex mixtures of proteins, demonstrating the utility of our approach for the detection of disease-associated lectins in biological environments. The ability of this sensor array to discriminate different strains of pathogenic bacteria was shown, demonstrating the potential application of the sensor array as a rapid diagnostic tool to characterise bacterial infections and identify bacterial virulence factors such as production of adhesins and antibiotic resistance.
Descriptions
- Resource type
- Dataset
- Contributors
- Mahon, Clare
1
Creator: Leslie, Kathryn 1
1 Durham University, UK
- Funder
-
Engineering and Physical Sciences Research Council
Marie Sklodowska-Curie Fellowship
UKRI Future Leaders Fellowship
- Research methods
- Other description
- Keyword
- Sensor arrays
Glycopolymers
Bacteria
Lectins
- Subject
-
Detectors
Polymers
Bacteria
- Location
- Language
- Cited in
- Identifier
- ark:/32150/r1js956f86t
doi:10.15128/r1js956f86t
- Rights
- Creative Commons Attribution 4.0 International (CC BY)
- Publisher
-
Durham University
- Date Created
File Details
- Depositor
- K.G. Leslie
- Date Uploaded
- 3 June 2024, 08:06:36
- Date Modified
- 3 June 2024, 11:06:21
- Audit Status
- Audits have not yet been run on this file.
- Characterization
-
File format: zip (ZIP Format)
Mime type: application/zip
File size: 5857
Last modified: 2024:06:03 09:30:43+01:00
Filename: models.zip
Original checksum: 0b49426ab87a4bef895ade4fce2447c1
User Activity | Date |
---|---|
User N. Syrotiuk has updated A glycopolymer sensor array that differentiates lectins and bacteria [dataset] | 4 months ago |
User N. Syrotiuk has updated A glycopolymer sensor array that differentiates lectins and bacteria [dataset] | 4 months ago |
User N. Syrotiuk has updated A glycopolymer sensor array that differentiates lectins and bacteria [software] | 4 months ago |