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Post-Transcriptional Gene Regulation

Overview of attention for book
Post-Transcriptional Gene Regulation
Springer New York

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 11: Profiling the Binding Sites of RNA-Binding Proteins with Nucleotide Resolution Using iCLIP.
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Chapter title
Profiling the Binding Sites of RNA-Binding Proteins with Nucleotide Resolution Using iCLIP.
Chapter number 11
Book title
Post-Transcriptional Gene Regulation
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3067-8_11
Pubmed ID
Book ISBNs
978-1-4939-3066-1, 978-1-4939-3067-8
Authors

FX Reymond Sutandy, Andrea Hildebrandt, Julian König, Sutandy, FX Reymond, Hildebrandt, Andrea, König, Julian

Editors

Erik Dassi

Abstract

The importance of posttranscriptional regulation in cellular metabolism has recently gone beyond what was previously appreciated. The regulatory mechanisms are controlled by RNA-binding proteins (RBPs), which form complexes with RNA and regulate RNA processing, stability, and localization, among others. Consistently, mutations in RBPs result in defects in developmental processes, diseases, and cancer. Gaining deeper insights into the biology of RNA-RBP interactions will lead to a better understanding of regulatory processes and disease development. Several techniques have been developed to capture the properties of RNA-RBP interactions. Furthermore, the development of high-throughput sequencing has broadened the capability of these methods. Here, we summarize individual-nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP), a powerful technique that provides genome-wide information on RNA-RBP interactions at nucleotide resolution. In this chapter, we outline the iCLIP protocol and list possible controls that allow a targeted and cost-minimizing optimization of the protocol for an RBP-of-interest. Moreover, we provide notes on experimental design and a troubleshooting guideline for common problems that can occur during iCLIP library preparation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 7 25%
Student > Doctoral Student 2 7%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 39%
Agricultural and Biological Sciences 7 25%
Neuroscience 2 7%
Environmental Science 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 5 18%