scholarly journals Cancer Diagnosis: A Universal Upconversion Sensing Platform for the Sensitive Detection of Tumour-Related ncRNA through an Exo III-Assisted Cycling Amplification Strategy (Small 10/2018)

Small ◽  
2018 ◽  
Vol 14 (10) ◽  
pp. 1870044 ◽  
Author(s):  
Keying Zhang ◽  
Lin Yang ◽  
Feng Lu ◽  
Xingcai Wu ◽  
Jun-Jie Zhu
RSC Advances ◽  
2015 ◽  
Vol 5 (92) ◽  
pp. 75055-75061 ◽  
Author(s):  
Chen-Liwei Liu ◽  
Xiang-Juan Kong ◽  
Jing Yuan ◽  
Ru-Qin Yu ◽  
Xia Chu

A ultrasensitive, easy operated and robust assay of S1 nuclease in real samples and ATP has been successfully achieved with the dual-amplification strategy based on rolling circle replication and Exo III-aided recycling.


Biosensors ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 222
Author(s):  
Chenxin Fang ◽  
Ping Ouyang ◽  
Yuxing Yang ◽  
Yang Qing ◽  
Jialun Han ◽  
...  

A microRNA (miRNA) detection platform composed of a rolling circle amplification (RCA) system and an allosteric deoxyribozyme system is proposed, which can detect miRNA-21 rapidly and efficiently. Padlock probe hybridization with the target miRNA is achieved through complementary base pairing and the padlock probe forms a closed circular template under the action of ligase; this circular template results in RCA. In the presence of DNA polymerase, RCA proceeds and a long chain with numerous repeating units is formed. In the presence of single-stranded DNA (H1 and H2), multi-component nucleic acid enzymes (MNAzymes) are formed that have the ability to cleave substrates. Finally, substrates containing fluorescent and quenching groups and magnesium ions are added to the system to activate the MNAzyme and the substrate cleavage reaction, thus achieving fluorescence intensity amplification. The RCA–MNAzyme system has dual signal amplification and presents a sensing platform that demonstrates broad prospects in the analysis and detection of nucleic acids.


2018 ◽  
Vol 90 (24) ◽  
pp. 14507-14513 ◽  
Author(s):  
Lili Tong ◽  
Xiuxiu Wang ◽  
Wen Gao ◽  
Zhenhua Liu ◽  
Zhenzhen Chen ◽  
...  

2017 ◽  
Vol 33 (7) ◽  
pp. 783-788 ◽  
Author(s):  
Chao HU ◽  
Xiang Juan KONG ◽  
Ru Qin YU ◽  
Ting Ting CHEN ◽  
Xia CHU

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