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Next-Generation MicroRNA Expression Profiling Technology

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Cover of 'Next-Generation MicroRNA Expression Profiling Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Controlling miRNA Regulation in Disease
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    Chapter 2 Introduction to miRNA Profiling Technologies and Cross-Platform Comparison.
  4. Altmetric Badge
    Chapter 3 Stem-Loop RT-qPCR for MicroRNA Expression Profiling
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    Chapter 4 Poly(T) adaptor rt-PCR.
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    Chapter 5 MicroRNA In Situ Hybridization
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    Chapter 6 Agilent MicroRNA Microarray Profiling System
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    Chapter 7 miRNA Expression Profiling Using Illumina Universal BeadChips
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    Chapter 8 MicroRNA Expression Analysis Using the Affymetrix Platform.
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    Chapter 9 Individualized miRNA Assay Panels Using Optically Encoded Beads
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    Chapter 10 Microfluidic Primer Extension Assay
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    Chapter 11 MicroRNA Profiling Using µParaflo Microfluidic Array Technology.
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    Chapter 12 MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
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    Chapter 13 Next-Generation Sequencing of miRNAs with Roche 454 GS-FLX Technology: Steps for a Successful Application.
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    Chapter 14 Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.
  16. Altmetric Badge
    Chapter 15 Profiling of Short RNAs Using Helicos Single-Molecule Sequencing.
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    Chapter 16 deepBase: Annotation and Discovery of MicroRNAs and Other Noncoding RNAs from Deep-Sequencing Data.
  18. Altmetric Badge
    Chapter 17 PhenomiR: MicroRNAs in Human Diseases and Biological Processes
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    Chapter 18 miRNA Expression Profiling: From Reference Genes to Global Mean Normalization
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    Chapter 19 miRNA Data Analysis: Next-Gen Sequencing.
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    Chapter 20 Integrated miRNA Expression Analysis and Target Prediction.
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    Chapter 21 miRNAs in Human Cancer.
  23. Altmetric Badge
    Chapter 22 Blood-Based miRNA Preparation for Noninvasive Biomarker Development.
Attention for Chapter 14: Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.
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Chapter title
Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.
Chapter number 14
Book title
Next-Generation MicroRNA Expression Profiling Technology
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-427-8_14
Pubmed ID
Book ISBNs
978-1-61779-426-1, 978-1-61779-427-8
Authors

Sam E. V. Linsen, Edwin Cuppen, Linsen, Sam E. V., Cuppen, Edwin

Abstract

Digital gene expression (DGE) profiling techniques are playing an eminent role in the detection, localization, and differential expression quantification of many small RNA species, including microRNAs (1-3). Procedures in small RNA library preparation techniques typically include adapter ligation by RNA ligase, followed by reverse transcription and amplification by PCR. This chapter describes three protocols that were successfully applied to generate small RNA sequencing SOLiD(TM) libraries. The Ambion SREK(TM)-adopted protocol can be readily used for multiplexing samples; the modban-based protocol is cost-efficient, but biased toward certain microRNAs; the poly(A)-based protocol is less biased, but less precise because of the A-tail that is introduced. In summary, each of these protocols has its advantages and disadvantages with respect to the ease of including barcodes, costs, and outcome.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Italy 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 41%
Student > Ph. D. Student 3 18%
Student > Master 3 18%
Student > Postgraduate 2 12%
Professor 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 71%
Biochemistry, Genetics and Molecular Biology 2 12%
Arts and Humanities 1 6%
Social Sciences 1 6%
Unknown 1 6%

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 13 December 2011.
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#13,856,164
of 17,368,632 outputs
Outputs from Methods in molecular biology
#5,046
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#167,908
of 222,079 outputs
Outputs of similar age from Methods in molecular biology
#288
of 466 outputs
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