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MicroRNA Detection and Target Identification

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Cover of 'MicroRNA Detection and Target Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Denaturation of Small RNA Duplexes and Its Application for Northern Blotting
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    Chapter 2 High-Throughput RT-qPCR for the Analysis of Circulating MicroRNAs
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    Chapter 3 Genome-Wide Comparison of Next-Generation Sequencing and qPCR Platforms for microRNA Profiling in Serum
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    Chapter 4 Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters
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    Chapter 5 Surface Acoustic Wave Lysis and Ion-Exchange Membrane Quantification of Exosomal MicroRNA
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    Chapter 6 Droplet Microfluidic Device Fabrication and Use for Isothermal Amplification and Detection of MicroRNA
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    Chapter 7 Interrogation of Functional miRNA–Target Interactions by CRISPR/Cas9 Genome Engineering
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    Chapter 8 Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
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    Chapter 9 Peptide-Based Isolation of Argonaute Protein Complexes Using Ago-APP
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    Chapter 10 Predicting Functional MicroRNA-mRNA Interactions
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    Chapter 11 Computational and Experimental Identification of Tissue-Specific MicroRNA Targets
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    Chapter 12 sRNAtoolboxVM: Small RNA Analysis in a Virtual Machine
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    Chapter 13 An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms
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    Chapter 14 The UEA Small RNA Workbench: A Suite of Computational Tools for Small RNA Analysis
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    Chapter 15 Prediction of miRNA–mRNA Interactions Using miRGate
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    Chapter 16 Detection of microRNAs Using Chip-Based QuantStudio 3D Digital PCR
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    Chapter 17 MiRNA Quantitation with Microelectrode Sensors Enabled by Enzymeless Electrochemical Signal Amplification
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    Chapter 18 A Robust Protocol to Quantify Circulating Cancer Biomarker MicroRNAs
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    Chapter 19 MicroRNAs, Regulatory Networks, and Comorbidities: Decoding Complex Systems
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    Chapter 20 Label-Free Direct Detection of MiRNAs with Poly-Silicon Nanowire Biosensors
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    Chapter 21 Erratum to: Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
Attention for Chapter 8: Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
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Chapter title
Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
Chapter number 8
Book title
MicroRNA Detection and Target Identification
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6866-4_8
Pubmed ID
Book ISBNs
978-1-4939-6864-0, 978-1-4939-6866-4
Authors

Ludek Zavesky, Eva Jandakova, Radovan Turyna, Daniela Duskova, Lucie Langmeierova, Vit Weinberger, Lubos Minar, Ales Horinek, Milada Kohoutova

Editors

Tamas Dalmay

Abstract

Cell-free microRNAs (miRNAs) have become one of the novel promising diagnostic and prognostic biomarkers for various diseases recently. Blood serum and plasma along with urine are the most common sources of clinically well, almost noninvasively available samples containing various types of miRNAs. Here, we present a protocol for a small-scale study investigating expression of several candidate miRNAs. Small-scale experiments may be worth investigating in cases where no information is available on miRNAs expression in particular diseases, for validation of previously published miRNAs with promising diagnostic potential, particularly in situations where follow-up study is aimed at validating miRNAs coming from array or NGS experiments, or where funding for these large-scale experiments is not available.Using urine miRNAs expression as the novel diagnostic tools is challenging and currently this approach is still in its infancy. Therefore, various methods may result in different conclusions depending on clinical sample sets and differences among methods used for the miRNAs isolation and quantitation. In this protocol, we present the method evaluated in the study focused on cell-free urinary miRNAs in ovarian and endometrial cancers. We recommend using stabilization tubes for the urine collection, as this step may be necessary to stop activity of RNases. Further, routine real-time PCR methods are described. We demonstrate that assessment of urinary miRNAs expression may reveal as a feasible method to explore the potential for finding novel diagnostic and prognostic markers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Bachelor 2 14%
Lecturer 2 14%
Student > Master 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Biochemistry, Genetics and Molecular Biology 2 14%
Immunology and Microbiology 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 3 21%