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miRNA Biogenesis

Overview of attention for book
Cover of 'miRNA Biogenesis'

Table of Contents

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    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
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    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
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    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
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    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)
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    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
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    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 1: High-Throughput Characterization of Primary microRNA Transcripts
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Chapter title
High-Throughput Characterization of Primary microRNA Transcripts
Chapter number 1
Book title
miRNA Biogenesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8624-8_1
Pubmed ID
Book ISBNs
978-1-4939-8623-1, 978-1-4939-8624-8
Authors

Tsung-Cheng Chang, Joshua T. Mendell, Chang, Tsung-Cheng, Mendell, Joshua T.

Abstract

Proper control of microRNA (miRNA) expression is critical for normal development and physiology, while abnormal miRNA expression is a common feature of many diseases. Dissecting mechanisms of miRNA regulation, however, is complicated by the generally poor annotation of miRNA primary transcripts (pri-miRNAs). Although some miRNAs are processed from well-defined protein coding genes, the majority of pri-miRNAs are poorly characterized noncoding RNAs, with incomplete annotation of promoters, splice sites, and polyadenylation signals. Due to the efficiency of DROSHA processing, the abundance of pri-miRNAs is very low at steady state, thereby complicating the elucidation of pri-miRNA structures. Here we describe a strategy to enrich intact pri-miRNAs and improve their coverage in RNA sequencing (RNA-seq) experiments. In addition, we outline a computational approach for reconstruction of pri-miRNA structures. This pipeline begins with raw RNA-seq reads and concludes with publication-ready visualization of pri-miRNA annotations. Together, these approaches allow the user to define and explore miRNA gene structures in a cell-type or organism of interest.

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 60%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 60%
Computer Science 2 40%
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 01 July 2018.
All research outputs
#15,538,060
of 23,092,602 outputs
Outputs from Methods in molecular biology
#5,411
of 13,207 outputs
Outputs of similar age
#270,127
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 44th percentile – i.e., 44% 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 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.