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• W3008682917 abstract "While differential sensing has the potential to discriminate millions to trillions of analytes based on hundreds of sensing elements, most of the current differential sensor arrays have limited scalability, with only a handful of recognition elements demonstrated. Here we demonstrate a novel differential sensor array based on a class of organic/inorganic hybrid fluorophores, DNA-templated silver nanoclusters (DNA/Ag NCs), that not only has great scalability but also combine both recognition element and signal transduction element into one unit. Six DNA/Ag NC sensors were designed to classify the lysates of six breast epithelial and cancer cell lines with distinct metastatic potential. While MDA-MB-231 and MCF7 lysates showed significantly different fluorescence signatures upon interaction with the sensor array, other cell lines were also differentiable. Our method is simple, versatile, low-cost, reliable, and scalable." @default.
• W3008682917 created "2020-03-06" @default.
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• W3008682917 date "2020-02-21" @default.
• W3008682917 modified "2023-09-23" @default.
• W3008682917 title "Array-based differential sensing of cancer cells using DNA-templated silver nanoclusters" @default.
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• W3008682917 doi "https://doi.org/10.1117/12.2540132" @default.
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