ArticleRSC advances2015
Discrimination between lectins with similar specificities by ratiometric profiling of binding to glycosylated surfaces; a chemical 'tongue' approach.
Article in RSC advances, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Glycoproteomics of Gastrointestinal Cancers and Its Use in Clinical Diagnostics.Journal of proteome research · 2025Review
- A Glycopolymer Sensor Array That Differentiates Lectins and Bacteria.Biomacromolecules · 2024Article
- Microarray Analysis of Oligosaccharide-Mediated Multivalent Carbohydrate-Protein Interactions and Their Heterogeneity.Chembiochem : a European journal of chemical biology · 2018Article
- Evaluation of the Antimicrobial Activity of Cationic Polymers against Mycobacteria: Toward Antitubercular Macromolecules.Biomacromolecules · 2017Article
- From ice to bugs: polymers and sugars to address healthcare challenges.Future science OA · 2016Article
- Glycan heterogeneity on gold nanoparticles increases lectin discrimination capacity in label-free multiplexed bioassays.The Analyst · 2016Article
- Glycosylated gold nanoparticle libraries for label-free multiplexed lectin biosensing.Journal of materials chemistry. B · 2016Article
- Discrimination between bacterial species by ratiometric analysis of their carbohydrate binding profile.Molecular bioSystems · 2016Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbohydrate-lectin interactions dictate a range of signalling and recognition processes in biological systems. The exploitation of these, particularly for diagnostic applications, is complicated by the inherent promiscuity of lectins along with their low affinity for individual glycans which themselves are challenging to access (bio)synthetically. Inspired by how a 'tongue' can discriminate between hundreds of flavours using a minimal set of multiplexed sensors and a training algorithm, here individual lectins are 'profiled' based on their unique binding profile (barcode) to a range of monosaccharides. By comparing the relative binding of a panel of 5 lectins to 3 monosaccharide-coated surfaces, it was possible to generate a training algorithm that enables correct identification of lectins, even those with similar glycan preferences. This is demonstrated to be useful for discrimination between the cholera and ricin toxin lectins showing the potential of this minimalist approach for exploiting glycan complexity.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.