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Post-Transcriptional Gene Regulation

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Cover of 'Post-Transcriptional Gene Regulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Bioinformatics Resources for Post-transcriptional Regulation of Gene Expression.
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    Chapter 2 Post-Transcriptional Gene Regulation
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    Chapter 3 Transcriptional Regulation with CRISPR/Cas9 Effectors in Mammalian Cells.
  5. Altmetric Badge
    Chapter 4 Studying the Translatome with Polysome Profiling.
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    Chapter 5 Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling.
  7. Altmetric Badge
    Chapter 6 Post-Transcriptional Gene Regulation
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    Chapter 7 Use of the pBUTR Reporter System for Scalable Analysis of 3' UTR-Mediated Gene Regulation.
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    Chapter 8 Comprehensive Identification of RNA-Binding Proteins by RNA Interactome Capture.
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    Chapter 9 Identifying RBP Targets with RIP-seq.
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    Chapter 10 PAR-CLIP: A Method for Transcriptome-Wide Identification of RNA Binding Protein Interaction Sites.
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    Chapter 11 Profiling the Binding Sites of RNA-Binding Proteins with Nucleotide Resolution Using iCLIP.
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    Chapter 12 A Pipeline for PAR-CLIP Data Analysis.
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    Chapter 13 Capture and Identification of miRNA Targets by Biotin Pulldown and RNA-seq.
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    Chapter 14 Post-Transcriptional Gene Regulation
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    Chapter 15 Genome-Wide Analysis of A-to-I RNA Editing.
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    Chapter 16 Nucleotide-Level Profiling of m5C RNA Methylation
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    Chapter 17 Probing N (6)-methyladenosine (m(6)A) RNA Modification in Total RNA with SCARLET.
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    Chapter 18 Genome-Wide Identification of Alternative Polyadenylation Events Using 3'T-Fill.
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    Chapter 19 Genome-Wide Profiling of Alternative Translation Initiation Sites.
  21. Altmetric Badge
    Chapter 20 Post-Transcriptional Gene Regulation
  22. Altmetric Badge
    Chapter 21 Visualizing mRNA Dynamics in Live Neurons and Brain Tissues.
  23. Altmetric Badge
    Chapter 22 Single-Molecule Live-Cell Visualization of Pre-mRNA Splicing.
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Chapter title
Post-Transcriptional Gene Regulation
Chapter number 14
Book title
Post-Transcriptional Gene Regulation
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3067-8_14
Pubmed ID
Book ISBNs
978-1-4939-3066-1, 978-1-4939-3067-8
Authors

Helwak, Aleksandra, Tollervey, David, Aleksandra Helwak, David Tollervey

Editors

Erik Dassi

Abstract

We present a detailed protocol for the experimental identification of miRNA-target RNA interaction sites using cross-linking, ligation, and sequencing of hybrids (CLASH). The basis of the technique is the purification of UV-stabilized Argonaute (AGO)-RNA complexes assembled in living cells, with subsequent ligation of AGO-associated RNA-RNA duplexes to form chimeric RNAs. Following cDNA synthesis, DNA library preparation and high-throughput sequencing, interacting RNA molecules are unambiguously identified as chimeric reads in bioinformatic analysis of sequencing data. CLASH potentially recovers any RNA duplex that is bound by RNA-binding protein, so modified approaches would be suitable for the identification of many other inter- and intramolecular RNA-RNA interactions. Since CLASH analysis is independent of bioinformatic predictions it allows the identification and analysis of RNA targeting rules in an unbiased way.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Researcher 7 18%
Student > Bachelor 5 13%
Professor > Associate Professor 4 10%
Student > Doctoral Student 3 8%
Other 7 18%
Unknown 2 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 55%
Agricultural and Biological Sciences 11 28%
Computer Science 3 8%
Neuroscience 1 3%
Engineering 1 3%
Other 0 0%
Unknown 2 5%
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 09 July 2016.
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#20,335,423
of 22,880,230 outputs
Outputs from Methods in molecular biology
#9,918
of 13,132 outputs
Outputs of similar age
#330,756
of 393,712 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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