Massively Parallel Selection of NanoCluster Beacons.

Autor: Kuo YA; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Jung C; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Korea., Chen YA; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Kuo HC; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.; Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA., Zhao OS; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Nguyen TD; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Rybarski JR; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.; Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA., Hong S; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Chen YI; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA., Wylie DC; Computational Biology and Bioinformatics, Center for Biomedical Research Support, University of Texas at Austin, Austin, TX, 78712, USA., Hawkins JA; European Molecular Biology Laboratory (EMBL), 69117, Heidelberg, Germany., Walker JN; Department of Chemistry, University of Texas at Austin, Austin, TX, 78712, USA., Shields SWJ; Department of Chemistry, University of Texas at Austin, Austin, TX, 78712, USA., Brodbelt JS; Department of Chemistry, University of Texas at Austin, Austin, TX, 78712, USA., Petty JT; Department of Chemistry, Furman University, Greenville, SC, 29617, USA., Finkelstein IJ; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.; Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA., Yeh HC; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, 78712, USA.; Texas Materials Institute, University of Texas at Austin, Austin, TX, 78712, USA.
Jazyk: angličtina
Zdroj: Advanced materials (Deerfield Beach, Fla.) [Adv Mater] 2022 Oct; Vol. 34 (41), pp. e2204957. Date of Electronic Publication: 2022 Sep 09.
DOI: 10.1002/adma.202204957
Abstrakt: 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 polar opposite twins (POTs), it is difficult to discover new POT-NCBs using the conventional low-throughput characterization approaches. Here, a high-throughput selection method is reported that takes advantage of repurposed next-generation-sequencing chips to screen the activation fluorescence of ≈40 000 activator sequences. It is found that the nucleobases at positions 7-12 of the 18-nucleotide-long activator are critical to creating bright NCBs and positions 4-6 and 2-4 are hotspots to generate yellow-orange and red POTs, respectively. Based on these findings, a "zipper-bag" model is proposed that can explain how these hotspots facilitate the formation of distinct silver cluster chromophores and alter their chemical yields. Combining high-throughput screening with machine-learning algorithms, a pipeline is established to design bright and multicolor NCBs in silico.
(© 2022 Wiley-VCH GmbH.)
Databáze: MEDLINE
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