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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 5: Axon-TRAP-RiboTag: Affinity Purification of Translated mRNAs from Neuronal Axons in Mouse In Vivo
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Chapter title
Axon-TRAP-RiboTag: Affinity Purification of Translated mRNAs from Neuronal Axons in Mouse In Vivo
Chapter number 5
Book title
RNA Detection
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7213-5_5
Pubmed ID
Book ISBNs
978-1-4939-7212-8, 978-1-4939-7213-5
Authors

Toshiaki Shigeoka, Jane Jung, Christine E. Holt, Hosung Jung, Shigeoka, Toshiaki, Jung, Jane, Holt, Christine E., Jung, Hosung

Abstract

Translating ribosome affinity purification (TRAP) is a widely used technique to analyze ribosome-bound mRNAs in particular target cells that express a tagged ribosomal protein. We developed axon-TRAP-RiboTag, a TRAP-based method that allows purification and identification of translated mRNAs from distal neuronal axons in mouse, and identified more than 2000 of translated mRNAs in retinal ganglion cell (RGC) axons in vivo. The use of Cre-negative littermate control to filter out false-positive signals allows unbiased detection, and combining TRAP with in vitro ribosome run-off enables identification of actively translated mRNAs. Here, we describe a detailed protocol to identify translated mRNAs in RGC axons in mouse in vivo. This method can be applied to any neurons whose cell bodies and distal axons are anatomically separated.

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The data shown below were collected from the profiles of 2 X users 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 37%
Researcher 8 16%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Professor > Associate Professor 2 4%
Other 5 10%
Unknown 8 16%
Readers by discipline Count As %
Neuroscience 16 33%
Agricultural and Biological Sciences 13 27%
Biochemistry, Genetics and Molecular Biology 8 16%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 0 0%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 November 2017.
All research outputs
#15,351,361
of 22,912,409 outputs
Outputs from Methods in molecular biology
#5,316
of 13,131 outputs
Outputs of similar age
#267,523
of 441,468 outputs
Outputs of similar age from Methods in molecular biology
#590
of 1,497 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,497 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.