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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Bimetallic Pd-Pt supported graphene promoted enzymatic redox cycling for ultrasensitive electrochemical quantification of microRNA from cell lysates
Analyst, Volume 139, No. 16, Year 2014
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Description
The expression of microRNAs (miRNAs) is related to some cancer diseases. Recently, miRNAs have emerged as new candidate diagnostic and prognostic biomarkers for detecting a wide variety of cancers. Due to low levels, short sequences and high sequence homology among family members, the quantitative miRNA analysis is still a challenge. A novel electrochemical biosensor with triple signal amplification for the ultrasensitive detection of miRNA was developed based on phosphatase, redox-cycling amplification, a bimetallic Pd-Pt supported graphene functionalized screen-printed gold electrode, and two stem-loop structured DNAs as target capturers. The proposed biosensor is highly sensitive due to the enhanced electrochemical signal of Pd-Pt supported graphene and sufficiently selective to discriminate the target miRNA from homologous miRNAs in the presence of loop-stem structure probes with T4 DNA ligase. Therefore, this strategy provided a new and ultrasensitive platform for amplified detection and subsequent analysis of miRNA in biomedical research and clinical diagnosis. © 2014 The Royal Society of Chemistry.
Authors & Co-Authors
Cheng, Fang Fang
China, Nanjing
Nanjing University
Zhang, Jing Jing
China, Nanjing
Nanjing University
He, Ting Ting
China, Nanjing
Nanjing University
China, Huainan
Anhui University of Science and Technology
Shi, Jian Jun
China, Nanjing
Nanjing University
China, Huainan
Anhui University of Science and Technology
Abdel-Halim, Essam Sayed
Saudi Arabia, Riyadh
College of Sciences
Zhu, Junjie
China, Nanjing
Nanjing University
Statistics
Citations: 29
Authors: 6
Affiliations: 3
Identifiers
Doi:
10.1039/c4an00777h
ISSN:
00032654
e-ISSN:
13645528
Research Areas
Cancer
Genetics And Genomics
Study Approach
Quantitative