Simple and Fast Rolling Circle Amplification-Based Detection of Topoisomerase 1 Activity in Crude Biological Samples.

Journal of visualized experiments : JoVE(2022)

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摘要
Isothermal amplification-based techniques such as the rolling circle amplification have been successfully employed for the detection of nucleic acids, protein amounts, or other relevant molecules. These methods have shown to be substantial alternatives to PCR or ELISA for clinical and research applications. Moreover, the detection of protein amount (by Western blot or immunohistochemistry) is often insufficient to provide information for cancer diagnosis, whereas the measurement of enzyme activity represents a valuable biomarker. Measurement of enzyme activity also allows for the diagnosis and potential treatment of pathogen-borne diseases. In all eukaryotes, topoisomerases are the key DNA-binding enzymes involved in the control of the DNA topological state during important cellular processes and are among the important biomarkers for cancer prognosis and treatment. Over the years, topoisomerases have been substantially investigated as a potential target of antiparasitic and anticancer drugs with libraries of natural and synthetic small-molecule compounds that are investigated every year. Here, the rolling circle amplification method, termed rolling circle enhanced enzyme activity detection (REEAD) assay that allows for the quantitative measurement of topoisomerase 1 (TOP1) activity in a simple, fast, and gel-free manner is presented.By cleaving and ligating a specially designed DNA substrate, TOP1 converts a DNA oligonucleotide into a closed circle, which becomes the template for rolling circle amplification, yielding ~10 tandem repeat rolling circle products. Depending on the nucleotide incorporation during the amplification, there is the possibility of different readout methods, from fluorescence to chemiluminescence to colorimetric. As each TOP1-mediated cleavage-ligation generates one closed DNA circle, the assay is highly sensitive and directly quantitative.
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