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miRNA Biogenesis

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Cover of 'miRNA Biogenesis'

Table of Contents

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    Book Overview
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    Chapter 1 High-Throughput Characterization of Primary microRNA Transcripts
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    Chapter 2 Identifying Pri-miRNA Transcription Start Sites
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    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
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    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
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    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 11: Uncovering the Stability of Mature miRNAs by 4-Thio-Uridine Metabolic Labeling
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Chapter title
Uncovering the Stability of Mature miRNAs by 4-Thio-Uridine Metabolic Labeling
Chapter number 11
Book title
miRNA Biogenesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8624-8_11
Pubmed ID
Book ISBNs
978-1-4939-8623-1, 978-1-4939-8624-8
Authors

Matteo J. Marzi, Francesco Nicassio, Marzi, Matteo J., Nicassio, Francesco

Abstract

MicroRNAs (miRNAs) are an evolutionary conserved class of short, single-stranded noncoding RNAs (<18-22 nt in length) that act in posttranscriptional regulation of gene expression in higher eukaryotes. The abundance of a miRNA is a key feature in control of its activity and, therefore, a number of mechanisms finely regulate miRNA levels, acting at both transcriptional and posttranscriptional level. Recent evidences, including our research, highlighted the role of miRNA decay as a mechanism controlling the miRNA pool. We describe in this chapter an optimized methodology to determine miRNA degradation rates in mammalian cells. Our approach is based on metabolic pulse labeling with 4-thiouridine (4sU), a uridine analog that is incorporated in nascent RNA and allows thiol-specific biotinylation and selective pull-down of labeled RNA. In particular, given the long average half-life and the complex biogenetic process of miRNAs, we developed a "pulse-chase" protocol where 4sU is removed from the medium after a long labeling period (2-3 h pulse), and labeled RNA is purified at different time points to measure the decay of labeled molecules. By combining the 4sU-based "pulse-chase" approach with high-throughput small RNA sequencing (sRNAseq), it is possible to quantify at genome-wide level miRNA degradation rates.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 1 11%
Lecturer 1 11%
Researcher 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 67%
Neuroscience 1 11%
Medicine and Dentistry 1 11%
Unknown 1 11%
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.
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#20,523,725
of 23,092,602 outputs
Outputs from Methods in molecular biology
#9,976
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Outputs of similar age
#378,481
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
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