Literature DB >> 27125839

An ultrasensitive fluorescence method suitable for quantitative analysis of mung bean nuclease and inhibitor screening in vitro and vivo.

Lan Peng1, Jialong Fan1, Chunyi Tong2, Zhenhua Xie1, Chuan Zhao1, Xuanming Liu1, Yonghua Zhu1, Bin Liu3.   

Abstract

Mung bean nuclease is a single stranded specific DNA and RNA endonuclease purified from mung bean sprouts. It yields 5'-phosphate terminated mono- and oligonucleotides. The activity level of this nuclease can act as a marker to monitor the developmental process of mung bean sprouts. In order to facilitate the activity and physiological analysis of this nuclease, we have developed a biosensing assay system based on the mung bean nuclease-induced single-stranded DNA scission and the affinity difference of graphene oxide for single-stranded DNA containing different numbers of bases. This end-point measurement method can detect mung bean nuclease in a range of 2×10(-4) to 4×10(-2) with a detection limit of 1×10(-4) unit/mL. In addition, we demonstrate the utility of the assay for screening chemical antibiotics and metal ions, resulting in the identification of several inhibitors of this enzyme in vitro. Furthermore, we firstly report that inhibiting mung bean nuclease by gentamycin sulfate and kanamycin in vivo can suppress mung bean sprouts growth. In summary, this method provides an alternative tool for the biochemical analysis for mung bean nuclease and indicates the feasibility of high-throughput screening specific inhibitors of this nuclease in vitro and in vivo.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fluorescence; Graphene oxide; Mung bean nuclease; Quantitative analysis

Mesh:

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Year:  2016        PMID: 27125839     DOI: 10.1016/j.bios.2016.04.052

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

1.  Ultrasensitive fluorescent aptasensor for CRP detection based on the RNase H assisted DNA recycling signal amplification strategy.

Authors:  Zhongzhi Liu; Dan Luo; Fangling Ren; Fengying Ran; Wei Chen; Bingqiang Zhang; Ceming Wang; Hao Chen; Jian Wei; Qinhua Chen
Journal:  RSC Adv       Date:  2019-04-16       Impact factor: 4.036

2.  Sensitive operation of enzyme-based biodevices by advanced signal processing.

Authors:  Stanislav Mazurenko; Sarka Bidmanova; Marketa Kotlanova; Jiri Damborsky; Zbynek Prokop
Journal:  PLoS One       Date:  2018-06-18       Impact factor: 3.240

  2 in total

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