ArticleActa biomaterialia2010
Development of fluorescent polymerization-based signal amplification for sensitive and non-enzymatic biodetection in antibody microarrays.
Article in Acta biomaterialia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Coatings on mammalian cells: interfacing cells with their environment.Journal of biological engineering · 2019Review
- Comparison of eosin and fluorescein conjugates for the photoinitiation of cell-compatible polymer coatings.PloS one · 2018Article
- Hydrogel Patches on Live Cells through Surface-Mediated Polymerization.Langmuir : the ACS journal of surfaces and colloids · 2017Article
- Characterization of molecular transport in ultrathin hydrogel coatings for cellular immunoprotection.Biomacromolecules · 2015Article
- Biotinylated dextran amine anterograde tracing of the canine corticospinal tract.Neural regeneration research · 2012Article
- Externally sensitized deprotection of PPG-masked carbonyls as a spatial proximity probe in photoamplified detection of binding events.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2012Article
- ampliPHOX colorimetric detection on a DNA microarray for influenza.Journal of visualized experiments : JoVE · 2011Article
- Sensitive immunofluorescent staining of cells via generation of fluorescent nanoscale polymer films in response to biorecognition.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2011Article
- Photoinitiator nucleotide for quantifying nucleic Acid hybridization.Biomacromolecules · 2010Article
- Mechanism of Cyclic Dye Regeneration During Eosin-Sensitized Photoinitiation in the Presence of Polymerization Inhibitors.Journal of polymer science. Part A, Polymer chemistry · 2009Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Antibody microarrays are a critical tool for proteomics, requiring broad, highly sensitive detection of numerous low abundance biomarkers. Fluorescent polymerization-based amplification (FPBA) is presented as a novel, non-enzymatic signal amplification method that takes advantage of the chain-reaction nature of radical polymerization to achieve a highly amplified fluorescent response. A streptavidin-eosin conjugate localizes eosin photoinitiators for polymerization on the chip where biotinylated target protein is bound. The chip is contacted with acrylamide as a monomer, N-methyldiethanolamine as a coinitiator and yellow/green fluorescent nanoparticles (NPs) which, upon initiation, combine to form a macroscopically visible and highly fluorescent film. The rapid polymerization kinetics and the presence of cross-linker favor entrapment of the fluorescent NPs in the polymer, enabling highly sensitive fluorescent biodetection. This method is demonstrated as being appropriate for antibody microarrays and is compared to detection approaches which utilize streptavidin-fluorescein isothiocyanate (SA-FITC) and streptavidin-labeled yellow/green NPs (SA-NPs). It is found that FPBA is able to detect 0.16 + or - 0.01 biotin-antibody microm(-2) (or 40 zmol surface-bound target molecules), while SA-FITC has a limit of detection of 31 + or - 1 biotin-antibody microm(-2) and SA-NPs fail to achieve any significant signal under the conditions evaluated here. Further, FPBA in conjunction with fluorescent stereomicroscopy yields equal or better sensitivity compared to fluorescent detection of SA-eosin using a much more costly microarray scanner. By facilitating highly sensitive detection, FPBA is expected to enable detection of low abundance antigens and also make possible a transition towards less expensive fluorescence detection instrumentation.
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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.