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MicroRNA Detection and Target Identification

Overview of attention for book
Cover of 'MicroRNA Detection and Target Identification'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 18: A Robust Protocol to Quantify Circulating Cancer Biomarker MicroRNAs
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Chapter title
A Robust Protocol to Quantify Circulating Cancer Biomarker MicroRNAs
Chapter number 18
Book title
MicroRNA Detection and Target Identification
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6866-4_18
Pubmed ID
28439839
Book ISBNs
978-1-4939-6864-0, 978-1-4939-6866-4
Authors

Emma Bell, Hannah L. Watson, Shivani Bailey, Matthew J. Murray, Nicholas Coleman, Bell, Emma, Watson, Hannah L., Bailey, Shivani, Murray, Matthew J., Coleman, Nicholas

Editors

Tamas Dalmay

Abstract

Reverse-transcriptase quantitative PCR (RT-qPCR) is a widely used method for quantifying microRNAs (miRNAs) in cells and tissues. However, the quantification of miRNAs in the circulation presents specific challenges. Here, we describe an optimized protocol using a small amount of input material to assess serum sample quality and quantify levels of a panel of up to 20 miRNAs. This is achieved by multiplexing Taqman miRNA stem-loop primers in the reverse transcription step. An additional multiplexed pre-amplification step is used to increase the sensitivity of the final quantification step, which is carried out using standard Taqman qPCR methodology.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Bachelor 2 17%
Student > Master 2 17%
Other 1 8%
Unspecified 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 5 42%
Biochemistry, Genetics and Molecular Biology 2 17%
Immunology and Microbiology 1 8%
Unspecified 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from Methods in molecular biology
#9,918
of 13,137 outputs
Outputs of similar age
#355,992
of 421,065 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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