Issue 49, 2017, Issue in Progress

DNase-targeted natural product screening based on a sensitive and selective DNase I detecting system

Abstract

As a widely used deoxyribonuclease, DNase I is involved in many physiological processes including tumor cell proliferation, metastasis and apoptosis. Furthermore, the level of this enzyme in serum can act as a functional biomarker for the therapeutic monitoring of systemic lupus erythematosus and other diseases. We report here a low cost and sensitive DNase I detecting system based on the single-stranded fluorogenic substrate and nanographene oxide (NGO) and use it for DNase-targeted natural product screening. The system with a detection limit of 0.005 U was then used to evaluate the effect of external factors on DNase I. The results show that Hg2+, As2+, Pb2+, Cd2+ and Cu2+ can inhibit DNase I activity in a concentration-dependent manner with IC50 values of 0.37 mM (Hg2+), 2.7 mM (As2+), 5 mM (Pb2+), 5.3 mM (Cd2+) and 7.8 mM (Cu2+), respectively. Meanwhile, 10 natural compounds isolated from Cyclocarya paliurus leaves were screened as DNase I inhibitors, while 5 compounds were identified as activators. Finally, the system was used to discriminate DNase activity of serum samples with and without HBV. The results showed that HBV infection significantly decreased the level of DNase I in serum samples. In summary, these data indicate that this method with the advantages of rapidity, low cost and high sensitivity is hopeful for DNase assay in biological samples as well as compound screening in vitro.

Graphical abstract: DNase-targeted natural product screening based on a sensitive and selective DNase I detecting system

Supplementary files

Article information

Article type
Paper
Submitted
02 May 2017
Accepted
04 Jun 2017
First published
15 Jun 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 30911-30918

DNase-targeted natural product screening based on a sensitive and selective DNase I detecting system

C. Zhao, Y. Chen, J. Fang, J. Fan, C. Tong, X. Liu, B. Liu and W. Wang, RSC Adv., 2017, 7, 30911 DOI: 10.1039/C7RA04911K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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