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miRNA Biogenesis

Overview of attention for book
Cover of 'miRNA Biogenesis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Throughput Characterization of Primary microRNA Transcripts
  3. Altmetric Badge
    Chapter 2 Identifying Pri-miRNA Transcription Start Sites
  4. Altmetric Badge
    Chapter 3 Metabolic Pulse-Chase RNA Labeling for pri-miRNA Processing Dynamics
  5. Altmetric Badge
    Chapter 4 In Vitro System for Coupling RNAP II Transcription to Primary microRNA Processing and a Three-Way System for RNAP II Transcription/Splicing/microRNA Processing
  6. Altmetric Badge
    Chapter 5 Purification of Microprocessor-Associated Factors
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    Chapter 6 Inhibiting Pri-miRNA Processing with Target Site Blockers
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    Chapter 7 MicroRNA Analysis Using the Quantitative Real-Time PCR Reaction
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    Chapter 8 MicroRNA Analysis Using Next-Generation Sequencing
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    Chapter 9 Identification of microRNA Precursor-Associated Proteins
  11. Altmetric Badge
    Chapter 10 Analysis of 3′ End Modifications in microRNAs by High-Throughput Sequencing
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    Chapter 11 Uncovering the Stability of Mature miRNAs by 4-Thio-Uridine Metabolic Labeling
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    Chapter 12 Detection of microRNA-Target Interactions by Chimera PCR (ChimP)
  14. Altmetric Badge
    Chapter 13 High-Quality Overlapping Paired-End Reads for the Detection of A-to-I Editing on Small RNA
  15. Altmetric Badge
    Chapter 14 Targeting miRNA for Therapeutics Using a Micronome Based Method for Identification of miRNA-mRNA Pairs and Validation of Key Regulator miRNA
  16. Altmetric Badge
    Chapter 15 Method for Detection of miRNAs in Non-Model Organisms with Unreported Database
  17. Altmetric Badge
    Chapter 16 Detection and Verification of Mammalian Mirtrons by Northern Blotting
  18. Altmetric Badge
    Chapter 17 Detecting Agotrons in Ago CLIPseq Data
Attention for Chapter 13: High-Quality Overlapping Paired-End Reads for the Detection of A-to-I Editing on Small RNA
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Chapter title
High-Quality Overlapping Paired-End Reads for the Detection of A-to-I Editing on Small RNA
Chapter number 13
Book title
miRNA Biogenesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8624-8_13
Pubmed ID
Book ISBNs
978-1-4939-8623-1, 978-1-4939-8624-8
Authors

Josephine Galipon, Rintaro Ishii, Soh Ishiguro, Yutaka Suzuki, Shinji Kondo, Mariko Okada-Hatakeyama, Masaru Tomita, Kumiko Ui-Tei, Galipon, Josephine, Ishii, Rintaro, Ishiguro, Soh, Suzuki, Yutaka, Kondo, Shinji, Okada-Hatakeyama, Mariko, Tomita, Masaru, Ui-Tei, Kumiko

Abstract

Paired-end RNA sequencing (RNA-seq) is usually applied to the quantification of long transcripts such as messenger or long non-coding RNAs, in which case overlapping pairs are discarded. In contrast, RNA-seq on short RNAs (≤ 200 nt) is typically carried out in single-end mode, as the additional cost associated with paired-end would only translate into redundant sequence information. Here, we exploit paired-end sequencing of short RNAs as a strategy to filter out sequencing errors and apply this method to the identification of adenosine-to-inosine (A-to-I) RNA editing events on human precursor microRNA (pre-miRNA) and mature miRNA. Combined with RNA immunoprecipitation sequencing (RIP-seq) of A-to-I RNA editing enzymes, this method takes full advantage of deep sequencing technology to identify RNA editing sites with unprecedented resolution in terms of editing efficiency.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 2 15%
Student > Bachelor 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 3 23%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Biochemistry, Genetics and Molecular Biology 4 31%
Unspecified 1 8%
Unknown 4 31%
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 24 July 2018.
All research outputs
#17,981,442
of 23,092,602 outputs
Outputs from Methods in molecular biology
#7,315
of 13,207 outputs
Outputs of similar age
#310,681
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.