Literature DB >> 31482918

Large-scale rapid detection of circulating microRNAs in plasma for diagnosis and screening of specific diseases.

Han Ding1, Yi An, Tao Zhao, Bing Liu, Yin Wang, Lei Zhang, Yu Wang, Yuan Zhang, Man Wang, Yanhan Dong, Longgang Hu, Bu-Chang Zhao, Peifeng Li.   

Abstract

microRNAs are a type of evolutionarily conserved small non-coding RNA with a length of 18-25 nucleotides. In recent years, increasing studies have shown that the content of specific miRNAs in the blood changes significantly during the occurrence and development of major diseases such as cardiovascular disease and cancer. Therefore, miRNAs may serve as important new biomarkers that can be used for disease diagnosis in the future. Here, we improved the polyethylene glycol layer on the surface of a traditional silicon sphere to specifically capture miRNAs by means of a full-function microplate detector, at 100 microliters. The detection limit for specific miRNAs per liter of plasma can reach 1 fM, and simultaneous detection of 96 samples can be achieved. Compared with the traditional real-time PCR technology, our detection eliminates the complex steps of miRNA extraction, reverse transcription, amplification, etc. and avoids more human error in the detection process. Using the full-featured microwell detector, we can rapidly detect specific miRNAs in plasma, which can be used in the diagnosis of cardiovascular diseases in the future.

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Year:  2019        PMID: 31482918     DOI: 10.1039/c9nr04407h

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


  2 in total

1.  Single-Molecule Sensor for High-Confidence Detection of miRNA.

Authors:  Kalani M Wijesinghe; Mazhar A Kanak; J Chuck Harrell; Soma Dhakal
Journal:  ACS Sens       Date:  2022-03-21       Impact factor: 7.711

2.  Circulating MicroRNAs From Plasma Small Extracellular Vesicles as Potential Diagnostic Biomarkers in Pediatric Epilepsy and Drug-Resistant Epilepsy.

Authors:  Yilong Wang; Yeping Wang; Yi Chen; Yi Hua; Lu Xu; Mengying Zhu; Congying Zhao; Weiran Zhang; Guoxia Sheng; Liu Liu; Peifang Jiang; Zhefeng Yuan; Zhengyan Zhao; Feng Gao
Journal:  Front Mol Neurosci       Date:  2022-02-10       Impact factor: 5.639

  2 in total

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