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Small Non-Coding RNAs

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Cover of 'Small Non-Coding RNAs'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Small Non-Coding RNAs: A Quick Look in the Rearview Mirror.
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    Chapter 2 Alcoholic Precipitation of Small Non-Coding RNAs
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    Chapter 3 Quantification and Quality Control of a Small Non-Coding RNA Preparation
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    Chapter 4 Impact of RNA Isolation Protocols on RNA Detection by Northern Blotting
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    Chapter 5 Improved Northern Blot Detection of Small RNAs Using EDC Crosslinking and DNA/LNA Probes
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    Chapter 6 Direct Cloning of Double-Stranded RNAs
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    Chapter 7 Detection and Labeling of Small Non-Coding RNAs by Splinted Ligation.
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    Chapter 8 Fluorescence In Situ Hybridization of Small Non-Coding RNAs
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    Chapter 9 RT-qPCR-Based Quantification of Small Non-Coding RNAs.
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    Chapter 10 Stem-Loop RT-PCR Based Quantification of Small Non-Coding RNAs.
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    Chapter 11 miR-RACE: An Effective Approach to Accurately Determine the Sequence of Computationally Identified miRNAs.
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    Chapter 12 Probing Small Non-Coding RNAs Structures
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    Chapter 13 cDNA Library Generation for the Analysis of Small RNAs by High-Throughput Sequencing.
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    Chapter 14 CLIP-Seq to Discover Transcriptome-Wide Imprinting of RNA Binding Proteins in Living Cells.
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    Chapter 15 Microarray Analysis of Small Non-Coding RNAs
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    Chapter 16 RLM-RACE, PPM-RACE, and qRT-PCR: An Integrated Strategy to Accurately Validate miRNA Target Genes.
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    Chapter 17 Dual Luciferase Gene Reporter Assays to Study miRNA Function.
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    Chapter 18 Gene Expression Knockdown by Transfection of siRNAs into Mammalian Cells
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    Chapter 19 Efficient and Selective Knockdown of Small Non-Coding RNAs.
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    Chapter 20 Cell-SELEX: In Vitro Selection of Synthetic Small Specific Ligands.
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    Chapter 21 Small Non-Coding RNAs and Aptamers in Diagnostics and Therapeutics.
Attention for Chapter 16: RLM-RACE, PPM-RACE, and qRT-PCR: An Integrated Strategy to Accurately Validate miRNA Target Genes.
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Chapter title
RLM-RACE, PPM-RACE, and qRT-PCR: An Integrated Strategy to Accurately Validate miRNA Target Genes.
Chapter number 16
Book title
Small Non-Coding RNAs
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2547-6_16
Pubmed ID
Book ISBNs
978-1-4939-2546-9, 978-1-4939-2547-6
Authors

Chen Wang, Jinggui Fang, Wang, Chen, Fang, Jinggui

Abstract

MicroRNAs (miRNAs) are important regulators involved in most biological processes in eukarya. They play critical roles in growth, development, signal transduction, or stress response by controlling gene expression at the posttranscriptional level. Identification and characterization of miRNA-targeted mRNAs is essential for the analysis of miRNA functions. In plants, the perfect complementarity between most miRNAs and their targets enables the accurate predictions of their targets, while slicing of the targeted mRNAs facilitates target validation through RNA Ligase-Mediated (RLM)-Rapid Amplification of cDNA Ends (RACE) method. However, this method only determines the 5'-end of the cleavage product. To more accurately validate the predicted target genes of miRNAs and exactly determine the cleavage sites within the targets, an integrated strategy comprising RLM-RACE, Poly(A) Polymerase-Mediated (PPM)-RACE, and qRT-PCR was developed. The efficiency of this method is illustrated by the precise sequence validation of predicted target mRNAs of miRNAs in grapevine, citrus, peach, and other fruit crops. Our on-going research indicates that RLM-RACE, PPM-RACE, and qRT-PCR are very effective in the verification of sequences of miRNA targets obtained by Degradome sequencing. The protocol for RLM-RACE, PPM-RACE, and qRT-PCR is rapid, effective, cheap, and can be completed within 2-3 days.

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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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 4 14%
Student > Master 4 14%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 41%
Biochemistry, Genetics and Molecular Biology 8 28%
Business, Management and Accounting 1 3%
Arts and Humanities 1 3%
Unknown 7 24%
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 21 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Methods in molecular biology
#9,899
of 13,111 outputs
Outputs of similar age
#295,776
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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So far Altmetric has tracked 13,111 research outputs from this source. They receive a mean Attention Score of 3.3. 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 996 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.