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Post-Transcriptional Gene Regulation

Overview of attention for book
Cover of 'Post-Transcriptional Gene Regulation'

Table of Contents

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    Book Overview
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    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.
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    Chapter 4 Studying the Translatome with Polysome Profiling.
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    Chapter 5 Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling.
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    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.
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    Chapter 20 Post-Transcriptional Gene Regulation
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    Chapter 21 Visualizing mRNA Dynamics in Live Neurons and Brain Tissues.
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    Chapter 22 Single-Molecule Live-Cell Visualization of Pre-mRNA Splicing.
Attention for Chapter 17: Probing N (6)-methyladenosine (m(6)A) RNA Modification in Total RNA with SCARLET.
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Chapter title
Probing N (6)-methyladenosine (m(6)A) RNA Modification in Total RNA with SCARLET.
Chapter number 17
Book title
Post-Transcriptional Gene Regulation
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3067-8_17
Pubmed ID
26463390
Book ISBNs
978-1-4939-3066-1, 978-1-4939-3067-8
Authors

Liu, Nian, Pan, Tao, Nian Liu, Tao Pan

Editors

Erik Dassi

Abstract

Posttranscriptional N (6)-methyladenosine (m(6)A) RNA modification is indispensable for cell development and viability; however, functional investigation of m(6)A biological function has been hindered by the lack of methods for its precise identification and quantitation. Here, we describe a method that accurately identifies m(6)A position and modification fraction in human messenger RNA (mRNA) and long noncoding RNA (lncRNA) at single-nucleotide resolution, termed as "site-specific cleavage and radioactive-labeling followed by ligation-assisted extraction and thin-layer chromatography (SCARLET)" (Fig. 1). This method combines two previously established techniques, site-specific cleavage and splint ligation, to probe the m(6)A RNA modification status at any mRNA/lncRNA site in the total RNA pool.

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 7 23%
Student > Doctoral Student 4 13%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 1 3%
Unknown 6 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 39%
Agricultural and Biological Sciences 5 16%
Medicine and Dentistry 2 6%
Chemistry 2 6%
Neuroscience 2 6%
Other 1 3%
Unknown 7 23%
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 16 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from Methods in molecular biology
#9,917
of 13,126 outputs
Outputs of similar age
#330,601
of 393,540 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
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So far Altmetric has tracked 13,126 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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