Issue 20, 2018

Label-free and sensitive detection of uracil-DNA glycosylase using exponential real-time rolling circle amplification

Abstract

Sensitive evaluation of the uracil-DNA glycosylase (UDG) activity is greatly significant in both fundamental biochemical process studies and disease prognosis. In this study, a simple but sensitive UDG activity-sensing strategy was designed on the basis of UDG-triggered rolling circle amplification (RCA) reaction. In this strategy, two oligonucleotides were used. The hairpin-like structure of the oligonucleotide containing a uracil nucleotide is destroyed in the presence of UDG, and then can be employed to form the circular template of RCA and initiate the subsequent RCA reaction. The participation of a nicking endonuclease makes the RCA reaction proceed in an exponential amplification mode. The amplification product may fold into a G-quadruplex structure, which can be specifically combined with thioflavin T to generate a fluorescence signal without any extra label. This UDG activity-sensing strategy was demonstrated to work well in both end-point and real-time detection modes with high sensitivity and excellent specificity. As low as 5.5 × 10−5 U mL−1 UDG could be detected. The advantages of simple operation, short RCA time and automatic measurement using commercial instruments make the real-time detection mode suitable for high-throughput detection with reduced risk of amplification product carryover contamination, and its application feasibility in real samples was demonstrated by UDG activity analysis of cell lysate.

Graphical abstract: Label-free and sensitive detection of uracil-DNA glycosylase using exponential real-time rolling circle amplification

Supplementary files

Article information

Article type
Paper
Submitted
03 Apr 2018
Accepted
20 Apr 2018
First published
24 Apr 2018

Anal. Methods, 2018,10, 2405-2410

Label-free and sensitive detection of uracil-DNA glycosylase using exponential real-time rolling circle amplification

Y. Xu, Y. Cui, Q. Zhao, A. Tang and D. Kong, Anal. Methods, 2018, 10, 2405 DOI: 10.1039/C8AY00742J

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