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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 5: Surface Acoustic Wave Lysis and Ion-Exchange Membrane Quantification of Exosomal MicroRNA
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Chapter title
Surface Acoustic Wave Lysis and Ion-Exchange Membrane Quantification of Exosomal MicroRNA
Chapter number 5
Book title
MicroRNA Detection and Target Identification
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6866-4_5
Pubmed ID
Book ISBNs
978-1-4939-6864-0, 978-1-4939-6866-4
Authors

Katherine E. Richards, David B. Go, Reginald Hill

Editors

Tamas Dalmay

Abstract

MicroRNA detection and quantification are commonly explored techniques for diagnostic and prognostic predictions. Typically, microRNAs are extracted and purified from a biological source, converted into complementary DNA (cDNA), and amplified using real time polymerase chain reaction (RT-PCR). The number of RT-PCR cycles required to reach the threshold of detection provides a relative quantification of the target microRNA when this data is normalized to the quantity of a control microRNA. This methodology has several drawbacks, including the need to artificially amplify the target microRNA for detection as well as quantification errors that can occur due to expression level differences of the control microRNAs for normalization in various sample sources. Here, we provide a technique to quantify actual concentrations of target microRNAs directly from any biological source without the requirement of these additional steps. In addition, we describe an alternative approach for obtaining exosomal microRNAs directly from biological samples without the use of harsh detergents and RNA isolation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Lecturer 1 6%
Professor 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 8 44%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 8 44%