Literature DB >> 25470558

Carbon nanotube enhanced label-free detection of microRNAs based on hairpin probe triggered solid-phase rolling-circle amplification.

Qianqian Tian1, Ying Wang, Ruijie Deng, Lei Lin, Yang Liu, Jinghong Li.   

Abstract

The detection of microRNAs (miRNAs) is imperative for gaining a better understanding of the functions of these biomarkers and has great potential for the early diagnosis of human disease. High sensitivity and selectivity for miRNA detection brings new challenges. Herein, an ultrasensitive protocol for electrochemical detection of miRNA is designed through carbon nanotube (CNT) enhanced label-free detection based on hairpin probe triggered solid-phase rolling-circle amplification (RCA). Traditionally, RCA, widely applied for signal enhancement in the construction of a variety of biosensors, has an intrinsic limitation of ultrasensitive detection, as it is difficult to separate the enzymes, templates, and padlock DNAs from the RCA products in the homogeneous solution. We purposely designed a solid-phase RCA strategy, using CNTs as the solid substrate, integrated with a hairpin structured probe to recognize target miRNA. In the presence of miRNA the stem-loop structure will be unfolded, triggering the CNT based RCA process. Due to the efficient blocking effect originating from the polymeric RCA products, the label-free assay of miRNA exhibits an ultrasensitive detection limit of 1.2 fM. Furthermore, the protocol possesses excellent specificity for resolving lung cancer-related let-7 family members which have only one-nucleotide variations. The high sensitivity and selectivity give the method great potential for applications in online diagnostics and in situ detection in long-term development.

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Year:  2015        PMID: 25470558     DOI: 10.1039/c4nr05243a

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  9 in total

1.  A ratiometric electrochemical DNA-biosensor for detection of miR-141.

Authors:  Ali Khodadoust; Navid Nasirizadeh; Ramezan Ali Taheri; Mohammad Dehghani; Mostafa Ghanei; Hasan Bagheri
Journal:  Mikrochim Acta       Date:  2022-05-05       Impact factor: 5.833

Review 2.  A Combinational Approach for More Efficient miRNA Biosensing.

Authors:  Cheolho Lee
Journal:  Curr Genomics       Date:  2022-04-07       Impact factor: 2.689

Review 3.  Emerging Biosensing Approaches for microRNA Analysis.

Authors:  Richard M Graybill; Ryan C Bailey
Journal:  Anal Chem       Date:  2015-12-21       Impact factor: 6.986

Review 4.  Methods and novel technology for microRNA quantification in colorectal cancer screening.

Authors:  Laura Moody; Hongshan He; Yuan-Xiang Pan; Hong Chen
Journal:  Clin Epigenetics       Date:  2017-10-24       Impact factor: 6.551

Review 5.  Carbon Nanomaterial Based Biosensors for Non-Invasive Detection of Cancer and Disease Biomarkers for Clinical Diagnosis.

Authors:  Tibor Pasinszki; Melinda Krebsz; Thanh Tran Tung; Dusan Losic
Journal:  Sensors (Basel)       Date:  2017-08-20       Impact factor: 3.576

Review 6.  Electrochemical Biosensors for Detection of MicroRNA as a Cancer Biomarker: Pros and Cons.

Authors:  Maliana El Aamri; Ghita Yammouri; Hasna Mohammadi; Aziz Amine; Hafsa Korri-Youssoufi
Journal:  Biosensors (Basel)       Date:  2020-11-20

7.  Accurate Detection of Target MicroRNA in Mixed Species of High Sequence Homology Using Target-Protection Rolling Circle Amplification.

Authors:  Bin Zhang; Shuo Li; Yifu Guan; Ying Yuan
Journal:  ACS Omega       Date:  2021-01-07

Review 8.  A Review on the Respiratory System Toxicity of Carbon Nanoparticles.

Authors:  Maricica Pacurari; Kristine Lowe; Paul B Tchounwou; Ramzi Kafoury
Journal:  Int J Environ Res Public Health       Date:  2016-03-15       Impact factor: 3.390

9.  Production of dumbbell probe through hairpin cleavage-ligation and increasing RCA sensitivity and specificity by circle to circle amplification.

Authors:  Hua Wei; Suming Tang; Tianyu Hu; Guojie Zhao; Yifu Guan
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

  9 in total

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