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Updated: May 5, 2026

Fluorescence-Based Detection of FEN1 Nuclease Activity and Screening of Small-Molecule Inhibitors
Published on: June 27, 2025
Poly(thymine)-templated fluorescent copper nanoparticles for ultrasensitive label-free nuclease assay and its
Zhihe Qing1, Xiaoxiao He, Taiping Qing
1State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University , Changsha 410082, P. R. China.
Abstract:
Noble-metal fluorescent nanoparticles have attracted considerable interest on account of their excellent properties and potential applicable importance in many fields. Particularly, we recently found that poly(thymine) (poly T) could template the formation of fluorescent copper nanoparticles (CuNPs), offering admirable potential as novel functional biochemical probes. However, exploration of poly T-templated CuNPs for application is still at a very early stage. We report herein for the first example to develop a novel ultrasensitive label-free method for the nuclease (S1 nuclease as a model system) assay, and its inhibitors screening using the poly T-templated fluorescent CuNPs. In this assay, the signal reporter of poly T of 30 mer (T30) kept the original long state in the absence of nuclease, which could effectively template the formation of fluorescent CuNPs. In the presence of nuclease, poly T was digested to mono- or oligonucleotide fragments with decrease of fluorescence. The proposed method was low-cost and simple in its operation without requirement for complex labeling of probe DNA or sophisticated synthesis of the fluorescent compound. The assay process was very rapid with only 5 min for the formation of fluorescent CuNPs. The capabilities for target detection from complex fluids and screening of nuclease inhibitors were verified. A high sensitivity exhibited with a detectable minimum concentration of 5 × 10(-7) units μL(-1) S1 nuclease, which was about 1-4 orders of magnitude more sensitive than the developed approaches.
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