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Discrimination between protein glycoforms using lectin-functionalised gold nanoparticles as signal enhancers. | LitMetric

AI Article Synopsis

  • * Traditional antibody assays struggle to differentiate between glycoforms, but a new 'sandwich' bioassay uses immobilized antibodies and gold nanoparticles with lectins to improve detection capabilities.
  • * This enhanced method can detect specific glycoforms at very low concentrations (as low as 0.04 μg/mL) without requiring sample enrichment or complex steps, demonstrating its potential in distinguishing cancerous from non-cancerous forms of prostate specific antigen.

Article Abstract

Glycoforms (and other post-translational modifications) of otherwise identical proteins can indicate pathogenesis/disease state and hence new tools to detect and sense a protein's glycosylation status are essential. Antibody-based assays against specific protein sequences do not typically discriminate between glycoforms. Here we demonstrate a 'sandwich' bio-assay approach, whereby antibodies immobilised onto biolayer interferometry sensors first select proteins, and then the specific glycoform is identified using gold nanoparticles functionalised with lectins which provide signal enhancement. The nanoparticles significantly enhance the signal relative to lectins alone, allowing glycoform specific detection as low as 0.04 μg mL (1.4 nM) in buffer, and crucially there is no need for an enrichment step and all steps can be automated. Proof of concept is demonstrated using prostate specific antigen: a biomarker for prostate cancer, where glycoform analysis could distinguish between cancerous and non-cancerous status, rather than only detecting overall protein concentration.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969229PMC
http://dx.doi.org/10.1039/d2nh00470dDOI Listing

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