2021
DOI: 10.1101/2021.12.04.471212
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Massively Parallel Selection of NanoCluster Beacons

Abstract: NanoCluster Beacons (NCBs) are multicolor silver nanocluster probes whose fluorescence can be activated or tuned by a proximal DNA strand called the activator. While a single-nucleotide difference in a pair of activators can lead to drastically different activation outcomes, termed the polar opposite twins (POTs), it is difficult to discover new POT-NCBs using the conventional low-throughput characterization approaches. Here we report a high-throughput selection method that takes advantage of repurposed next-g… Show more

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Cited by 1 publication
(2 citation statements)
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References 55 publications
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“…Copp, et al , developed the high-throughput experimental approach described in Section 4, 43 and the Yeh group has developed a platform for rapid screening of “light-up” Ag N –DNA probes called NanoCluster Beacons (NCBs) 80 based on Illumina MiSeq chips. 81…”
Section: Fundamentals Of Nucleic Acid-stabilized Metal Nanoclustersmentioning
confidence: 99%
See 1 more Smart Citation
“…Copp, et al , developed the high-throughput experimental approach described in Section 4, 43 and the Yeh group has developed a platform for rapid screening of “light-up” Ag N –DNA probes called NanoCluster Beacons (NCBs) 80 based on Illumina MiSeq chips. 81…”
Section: Fundamentals Of Nucleic Acid-stabilized Metal Nanoclustersmentioning
confidence: 99%
“…9). 108 Using a next-generation sequencing chip platform to screen nearly 40 000 activator strands on a fluorescence microscope equipped with TRITC and Cy5 filter cubes, 81 they identified thousands of new activator sequences that yield bright NanoCluster Beacon fluorescence. This dataset was then used to train logistic regression classifiers to distinguish between DNA activator sequences that light-up brightly fluorescent “yellow-orange” and red NanoCluster Beacons and DNA activator sequences associated with low fluorescence (“dark”).…”
Section: Multi-class ML Models For Prediction Of Agn–dna Colormentioning
confidence: 99%