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RNA Detection

Overview of attention for book
Cover of 'RNA Detection'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Secret Life of RNA: Lessons from Emerging Methodologies
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    Chapter 2 Quantification of 2′-O-Me Residues in RNA Using Next-Generation Sequencing (Illumina RiboMethSeq Protocol)
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    Chapter 3 Identifying the m6A Methylome by Affinity Purification and Sequencing
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    Chapter 4 PARIS: Psoralen Analysis of RNA Interactions and Structures with High Throughput and Resolution
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    Chapter 5 Axon-TRAP-RiboTag: Affinity Purification of Translated mRNAs from Neuronal Axons in Mouse In Vivo
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    Chapter 6 LCM-Seq: A Method for Spatial Transcriptomic Profiling Using Laser Capture Microdissection Coupled with PolyA-Based RNA Sequencing
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    Chapter 7 Spatial Transcriptomics: Constructing a Single-Cell Resolution Transcriptome-Wide Expression Atlas
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    Chapter 8 Single mRNA Molecule Detection in Drosophila
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    Chapter 9 Detection and Automated Analysis of Single Transcripts at Subcellular Resolution in Zebrafish Embryos
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    Chapter 10 Super-Resolution Single Molecule FISH at the Drosophila Neuromuscular Junction
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    Chapter 11 Detection of mRNA and Associated Molecules by ISH-IEM on Frozen Sections
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    Chapter 12 Hybridization Chain Reaction for Direct mRNA Detection Without Nucleic Acid Purification
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    Chapter 13 In Situ Detection of MicroRNA Expression with RNAscope Probes
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    Chapter 14 Padlock Probes to Detect Single Nucleotide Polymorphisms
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    Chapter 15 Quantifying Gene Expression in Living Cells with Ratiometric Bimolecular Beacons
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    Chapter 16 Optimizing Molecular Beacons for Intracellular Analysis of RNA
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    Chapter 17 Live Imaging of Nuclear RNPs in Mammalian Complex Tissue with ECHO-liveFISH
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    Chapter 18 In Vivo Visualization and Function Probing of Transport mRNPs Using Injected FIT Probes
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    Chapter 19 Visualizing RNA in Live Bacterial Cells Using Fluorophore- and Quencher-Binding Aptamers
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    Chapter 20 Method for Imaging Live-Cell RNA Using an RNA Aptamer and a Fluorescent Probe
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    Chapter 21 RNA Live Imaging in the Model Microorganism Ustilago maydis
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    Chapter 22 Real-Time Fluorescence Imaging of Single-Molecule Endogenous Noncoding RNA in Living Cells
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    Chapter 23 Live Imaging of mRNA Synthesis in Drosophila
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    Chapter 24 Imaging Newly Transcribed RNA in Cells by Using a Clickable Azide-Modified UTP Analog
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    Chapter 25 Detection of the First Round of Translation: The TRICK Assay
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    Chapter 26 Imaging Translation Dynamics of Single mRNA Molecules in Live Cells
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    Chapter 27 Systematic Detection of Poly(A)+ RNA-Interacting Proteins and Their Differential Binding
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    Chapter 28 Isolation and Characterization of Endogenous RNPs from Brain Tissues
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    Chapter 29 Individual Nucleotide Resolution UV Cross-Linking and Immunoprecipitation (iCLIP) to Determine Protein–RNA Interactions
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    Chapter 30 RNA Tagging: Preparation of High-Throughput Sequencing Libraries
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    Chapter 31 RAP-MS: A Method to Identify Proteins that Interact Directly with a Specific RNA Molecule in Cells
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    Chapter 32 Erratum to: Super-Resolution Single Molecule FISH at the Drosophila Neuromuscular Junction
Attention for Chapter 29: Individual Nucleotide Resolution UV Cross-Linking and Immunoprecipitation (iCLIP) to Determine Protein–RNA Interactions
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Chapter title
Individual Nucleotide Resolution UV Cross-Linking and Immunoprecipitation (iCLIP) to Determine Protein–RNA Interactions
Chapter number 29
Book title
RNA Detection
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7213-5_29
Pubmed ID
29130215
Book ISBNs
978-1-4939-7212-8, 978-1-4939-7213-5
Authors

Christopher R. Sibley

Abstract

RNA-binding proteins (RBPs) interact with and determine the fate of many cellular RNA transcripts. In doing so they help direct many essential roles in cellular physiology, while their perturbed activity can contribute to disease etiology. In this chapter we detail a functional genomics approach, termed individual nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP), that can determine the interactions of RBPs with their RNA targets in high throughput and at nucleotide resolution. iCLIP achieves this by exploiting UV-induced covalent cross-links formed between RBPs and their target RNAs to both purify the RBP-RNA complexes under stringent conditions, and to cause reverse transcription stalling that then identifies the direct cross-link sites in the high throughput sequenced cDNA libraries.

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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 10 32%
Researcher 7 23%
Student > Master 6 19%
Other 2 6%
Professor 1 3%
Other 3 10%
Unknown 2 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 55%
Agricultural and Biological Sciences 8 26%
Chemical Engineering 1 3%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 2 6%
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 27 February 2018.
All research outputs
#20,452,930
of 23,008,860 outputs
Outputs from Methods in molecular biology
#9,941
of 13,157 outputs
Outputs of similar age
#378,119
of 442,295 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
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So far Altmetric has tracked 13,157 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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