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A novel disease-associated nucleic acid sensing platform based on split DNA-scaffolded sliver nanocluster.

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Disease-associated nucleic acids, such as DNAs and miRNAs, are important biomarkers for the diagnosis, prognosis and treatment guidance of human diseases. Therefore, the accurate and sensitive detection of nucleic acid… Click to show full abstract

Disease-associated nucleic acids, such as DNAs and miRNAs, are important biomarkers for the diagnosis, prognosis and treatment guidance of human diseases. Therefore, the accurate and sensitive detection of nucleic acid is of great significance for the early diagnosis of diseases. DNA-scaffolded silver nanocluster (DNA-Ag NC) is a new type of probe with good photostability and low toxicity that has been widely used in biomedical analysis. In this work, a new universal sensing platform based on target triggered labeling luminescent DNA-Ag NC for disease-related nucleic acids detection was constructed. The assembled split DNA fragment pair (C4AC4T and C3GT4) could be used as a template to develop a bright green fluorescent Ag NC. According to this phenomenon, we devised two probe sequences DNA 1 and DNA 2, which could hybridize to the same one target and contained a different split fragment of Ag NC' scaffold. The target compelled the split fragments close to each other through base pairing with DNA 1 and DNA 2, thus quantification of the target could be achieved through measuring green fluorescence of Ag NC that produced by assembled scaffold in ternary hybrid products. We applied this platform successfully for miR-362, a potential biomarker of inflammatory bowel diseases (IBD), or HIV-related DNA (hDNA) detection, achieving the detection limits of 6.5 nM and 1.7 nM, respectively. Both of the assays showed excellent reproducibility, selectivity and potential applications in human serum samples. In summary, an economic and convenient universal platform was developed for disease-associated nucleic acid detection.

Keywords: associated nucleic; dna; platform; disease; disease associated; split

Journal Title: Analytica chimica acta
Year Published: 2021

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