Literature DB >> 23499588

Detection methods for microRNAs in clinic practice.

Mariàngels de Planell-Saguer1, Maria Celina Rodicio.   

Abstract

MicroRNAs (miRNA) are short non-coding RNA molecules that regulate gene expression. miRNAs profiles are specific for cell lineages and tissues, and their changes reflect pathological processes. This fact introduces the possibility of their use in diagnostics. The application of miRNAs in diagnostics is critically dependent on the establishment of miRNA profiles that can discriminate patients from normal healthy individuals with good sensitivity and specificity and on the development of methods for their accurate and high-throughput quantification. In this review, we present an overview of some of the different techniques and methods currently used to detect miRNAs. We focus on methods that can be employed in routine clinic diagnostics indicating their advantages as well as their shortcomings, with special attention being paid to the most innovative ones. Since disease-specific miRNAs can be found in blood serum, we also present emerging methods for the detection of circulating miRNAs as a way of fast, reliable and non-invasive diagnostic.
Copyright © 2013 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23499588     DOI: 10.1016/j.clinbiochem.2013.02.017

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  34 in total

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7.  Ultraspecific analyte detection by direct kinetic fingerprinting of single molecules.

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Authors:  Kathrin Krause; Benjamin T Kopp; Mia F Tazi; Kyle Caution; Kaitlin Hamilton; Asmaa Badr; Chandra Shrestha; Dmitry Tumin; Don Hayes; Frank Robledo-Avila; Luanne Hall-Stoodley; Brett G Klamer; Xiaoli Zhang; Santiago Partida-Sanchez; Narasimham L Parinandi; Stephen E Kirkby; Duaa Dakhlallah; Karen S McCoy; Estelle Cormet-Boyaka; Amal O Amer
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Journal:  Neuromolecular Med       Date:  2018-09-04       Impact factor: 3.843

10.  Assessment of the expression level of miRNA molecules using a semi-quantitative RT-PCR approach.

Authors:  Shima Andoorfar; Seyed Ali Hosseini Tafreshi; Zahra Rezvani
Journal:  Mol Biol Rep       Date:  2019-07-08       Impact factor: 2.316

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