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Next-Generation MicroRNA Expression Profiling Technology

Overview of attention for book
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.
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    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.
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    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.
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    Chapter 22 Blood-Based miRNA Preparation for Noninvasive Biomarker Development.
Attention for Chapter 4: Poly(T) adaptor rt-PCR.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

7 patents
1 Facebook page


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Readers on

38 Mendeley
1 CiteULike
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Chapter title
Poly(T) adaptor rt-PCR.
Chapter number 4
Book title
Next-Generation MicroRNA Expression Profiling Technology
Published in
Methods in molecular biology, December 2011
DOI 10.1007/978-1-61779-427-8_4
Pubmed ID
Book ISBNs
978-1-61779-426-1, 978-1-61779-427-8

Shi R, Sun YH, Zhang XH, Chiang VL, Rui Shi, Ying-Husan Sun, Xing-Hai Zhang, Vincent L. Chiang, Shi, Rui, Sun, Ying-Husan, Zhang, Xing-Hai, Chiang, Vincent L.


Reverse transcription PCR (RT-PCR) is one of the most important techniques for analyzing RNA abundance. MicroRNAs (miRNAs) are a group of 20- to 24-nucleotide regulatory small RNAs which play an important role in plants and animals. However, the small size of miRNAs makes them difficult to be detected and quantified by conventional RT-PCR techniques. Here, we describe a poly(T) adaptor RT-PCR method specifically designed for quantifying miRNAs. In this method, total RNAs, including miRNAs, are extended by a poly(A) tailing reaction using poly(A) polymerase and ATP. The miRNA with a poly(A) tail is converted into cDNA through reverse transcription primed by a poly(T) adaptor, and then PCR-amplified using a miRNA-specific forward primer and a universal poly(T) adaptor reverse primer. The RT-PCR amplification can be monitored by real-time detection or by end-point detection for quantifying the miRNA transcript level. The PCR amplicons can be sequenced for validating the expression of the specific miRNA gene.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Denmark 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 5 13%
Student > Master 4 11%
Professor 3 8%
Student > Bachelor 3 8%
Other 2 5%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 29%
Agricultural and Biological Sciences 9 24%
Medicine and Dentistry 2 5%
Chemical Engineering 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 1 3%
Unknown 13 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 September 2021.
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Outputs from Methods in molecular biology
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Outputs of similar age
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Outputs of similar age from Methods in molecular biology
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Altmetric has tracked 20,532,457 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,563 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 890 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.