A review: microRNA detection methods

2015 ◽  
Vol 13 (8) ◽  
pp. 2226-2238 ◽  
Author(s):  
Tian Tian ◽  
Jiaqi Wang ◽  
Xiang Zhou
Keyword(s):  
Disease Diagnosis ◽  
Detection Methods ◽  
Microrna Detection ◽  
Mirna Detection

MicroRNA (miRNA) detection is of considerable significance in both disease diagnosis and in the study of miRNA function.

Recent advances in microRNA detection

The Analyst ◽  
2018 ◽  
Vol 143 (8) ◽  
pp. 1758-1774 ◽  
Author(s):  
Yongqiang Cheng ◽  
Lijuan Dong ◽  
Jiangyan Zhang ◽  
Yaqing Zhao ◽  
Zhengping Li
Keyword(s):  
Detection Methods ◽  
Recent Advances ◽  
Microrna Detection ◽  
Mirna Detection ◽  
New Applications

Recent advances in miRNA detection methods and new applications.

scholarly journals Computational Prediction of MicroRNAs Encoded in Viral and Other Genomes

2006 ◽  
Vol 2006 ◽  
pp. 1-10 ◽  
Author(s):  
Gard O. S. Thomassen ◽  
Øystein Røsok ◽  
Torbjørn Rognes
Keyword(s):  
Computational Methods ◽  
Computational Prediction ◽  
Experimental Methods ◽  
Northern Blotting ◽  
False Positives ◽  
Small Study ◽  
Detection Methods ◽  
Microrna Detection ◽  
Mature Microrna ◽  
Mirna Detection

We present an overview of selected computational methods for microRNA prediction. It is especially aimed at viral miRNA detection. As the number of microRNAs increases and the range of genomes encoding miRNAs expands, it seems that these small regulators have a more important role than has been previously thought. Most microRNAs have been detected by cloning and Northern blotting, but experimental methods are biased towards abundant microRNAs as well as being time-consuming. Computational detection methods must therefore be refined to serve as a faster, better, and more affordable method for microRNA detection. We also present data from a small study investigating the problems of computational miRNA prediction. Our findings suggest that the prediction of microRNA precursor candidates is fairly easy, while excluding false positives as well as exact prediction of the mature microRNA is hard. Finally, we discuss possible improvements to computational microRNA detection.

scholarly journals Rapid and Sensitive Detection of miRNA Based on AC Electrokinetic Capacitive Sensing for Point-of-Care Applications

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3985
Author(s):  
Nan Wan ◽  
Yu Jiang ◽  
Jiamei Huang ◽  
Rania Oueslati ◽  
Shigetoshi Eda ◽  
...  
Keyword(s):  
Limit Of Detection ◽  
Point Of Care ◽  
Low Cost ◽  
Clinical Diagnostics ◽  
Detection Methods ◽  
Capacitive Sensing ◽  
Application Potential ◽  
Mirna Detection ◽  
Mirna 25 ◽  
Low Sensitivity

A sensitive and efficient method for microRNAs (miRNAs) detection is strongly desired by clinicians and, in recent years, the search for such a method has drawn much attention. There has been significant interest in using miRNA as biomarkers for multiple diseases and conditions in clinical diagnostics. Presently, most miRNA detection methods suffer from drawbacks, e.g., low sensitivity, long assay time, expensive equipment, trained personnel, or unsuitability for point-of-care. New methodologies are needed to overcome these limitations to allow rapid, sensitive, low-cost, easy-to-use, and portable methods for miRNA detection at the point of care. In this work, to overcome these shortcomings, we integrated capacitive sensing and alternating current electrokinetic effects to detect specific miRNA-16b molecules, as a model, with the limit of detection reaching 1.0 femto molar (fM) levels. The specificity of the sensor was verified by testing miRNA-25, which has the same length as miRNA-16b. The sensor we developed demonstrated significant improvements in sensitivity, response time and cost over other miRNA detection methods, and has application potential at point-of-care.

scholarly journals A Multichannel Pattern-Recognition-Based Protein Sensor with a Fluorophore-Conjugated Single-Stranded DNA Set

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5110
Author(s):  
Mari Okada ◽  
Hiroka Sugai ◽  
Shunsuke Tomita ◽  
Ryoji Kurita
Keyword(s):  
Pattern Recognition ◽  
Optical Response ◽  
Disease Diagnosis ◽  
Detection Methods ◽  
Fluorescence Signal ◽  
Signal Acquisition ◽  
Response Patterns ◽  
Protein Sensing ◽  
Composition Ratios ◽  
Protein Sensor

Recently, pattern-recognition-based protein sensing has received considerable attention because it offers unique opportunities that complement more conventional antibody-based detection methods. Here, we report a multichannel pattern-recognition-based sensor using a set of fluorophore-conjugated single-stranded DNAs (ssDNAs), which can detect various proteins. Three different fluorophore-conjugated ssDNAs were placed into a single microplate well together with a target protein, and the generated optical response pattern that corresponds to each environment-sensitive fluorophore was read via multiple detection channels. Multivariate analysis of the resulting optical response patterns allowed an accurate detection of eight different proteases, indicating that fluorescence signal acquisition from a single compartment containing a mixture of ssDNAs is an effective strategy for the characterization of the target proteins. Additionally, the sensor could identify proteins, which are potential targets for disease diagnosis, in a protease and inhibitor mixture of different composition ratios. As our sensor benefits from simple construction and measurement procedures, and uses accessible materials, it offers a rapid and simple platform for the detection of proteins.

A novel duplex ddPCR assay for the diagnosis of schistosomiasis japonica: proof of concept in an experimental mouse model

Parasitology ◽  
2017 ◽  
Vol 144 (8) ◽  
pp. 1005-1015 ◽  
Author(s):  
KOSALA G. WEERAKOON ◽  
CATHERINE A. GORDON ◽  
PENGFEI CAI ◽  
GEOFFREY N. GOBERT ◽  
MARY DUKE ◽  
...  
Keyword(s):  
Mouse Model ◽  
Large Scale ◽  
Public Health Problem ◽  
Digital Pcr ◽  
Disease Diagnosis ◽  
World Health ◽  
Schistosomiasis Japonica ◽  
Detection Methods ◽  
Clinical Samples ◽  
Additional Tool

SUMMARYThe current World Health Organization strategic plan targets the elimination of schistosomiasis as a public health problem by 2025 and accurate diagnostics will play a pivotal role in achieving this goal. DNA-based detection methods provide a viable alternative to some of the commonly used tests, notably microscopy and serology, for the diagnosis of schistosomiasis. The detection of parasite cell-free DNA in different clinical samples is a recent valuable advance, which provides significant benefits for accurate disease diagnosis. Here we validated a novel duplex droplet digital PCR assay for the diagnosis of Chinese (SjC) and Philippine (SjP) strains of Schistosoma japonicum infection in a mouse model. The assay proved applicable for both SjC and SjP infections and capable of detecting infection at a very early intra-mammalian stage in conveniently obtainable samples (urine and saliva) as well as in serum and feces. The target DNA copy numbers obtained in the assay showed a positive correlation with the infection burden assessed by direct traditional parasitology. The potential to detect parasite DNA in urine and saliva has important practical implications for large-scale epidemiological screening programmes in the future, particularly in terms of logistical convenience, and the assay has the potential to be a valuable additional tool for the diagnosis of schistosomiasis japonica.

ChemInform Abstract: A Review: MicroRNA Detection Methods

ChemInform ◽  
2015 ◽  
Vol 46 (15) ◽  
pp. no-no
Author(s):  
Tian Tian ◽  
Jiaqi Wang ◽  
Xiang Zhou
Keyword(s):  
Detection Methods ◽  
Microrna Detection

scholarly journals PNA-Based MicroRNA Detection Methodologies

Molecules ◽  
2020 ◽  
Vol 25 (6) ◽  
pp. 1296 ◽  
Author(s):  
Enrico Cadoni ◽  
Alex Manicardi ◽  
Annemieke Madder
Keyword(s):  
Nucleic Acids ◽  
Peptide Nucleic Acids ◽  
Noncoding Rnas ◽  
Detection Methods ◽  
Small Noncoding Rnas ◽  
Microrna Detection ◽  
Wide Range ◽  
Fine Regulation ◽  
Context Detection ◽  
Colorimetric Assays

MicroRNAs (miRNAs or miRs) are small noncoding RNAs involved in the fine regulation of post-transcriptional processes in the cell. The physiological levels of these short (20–22-mer) oligonucleotides are important for the homeostasis of the organism, and therefore dysregulation can lead to the onset of cancer and other pathologies. Their importance as biomarkers is constantly growing and, in this context, detection methods based on the hybridization to peptide nucleic acids (PNAs) are gaining their place in the spotlight. After a brief overview of their biogenesis, this review will discuss the significance of targeting miR, providing a wide range of PNA-based approaches to detect them at biologically significant concentrations, based on electrochemical, fluorescence and colorimetric assays.

Nucleic acid amplification-based methods for microRNA detection

2015 ◽  
Vol 7 (6) ◽  
pp. 2258-2263 ◽  
Author(s):  
Hui-Ling Chen ◽  
Meng-Meng Guo ◽  
Hao Tang ◽  
Zhan Wu ◽  
Li-Juan Tang ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Nucleic Acid Amplification ◽  
Detection Methods ◽  
Basic Principles ◽  
Microrna Detection

This review traces the basic principles of several nucleic acid amplification-based microRNA detection methods that have been developed in recent three years.

Evaluation of Three RT-qPCR-Based miRNA Detection Methods Using Seven Rice miRNAs

2013 ◽  
Vol 77 (6) ◽  
pp. 1349-1353 ◽  
Author(s):  
Guiping MOU ◽  
Kang WANG ◽  
Donglin XU ◽  
Guohui ZHOU
Keyword(s):  
Detection Methods ◽  
Mirna Detection
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