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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 31: RAP-MS: A Method to Identify Proteins that Interact Directly with a Specific RNA Molecule in Cells
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Chapter title
RAP-MS: A Method to Identify Proteins that Interact Directly with a Specific RNA Molecule in Cells
Chapter number 31
Book title
RNA Detection
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7213-5_31
Pubmed ID
Book ISBNs
978-1-4939-7212-8, 978-1-4939-7213-5
Authors

Colleen A. McHugh, Mitchell Guttman, McHugh, Colleen A., Guttman, Mitchell

Abstract

RNA molecules interact with proteins to perform a variety of functions in living cells. The binding partners of many RNAs, in particular the newly discovered class of long noncoding RNAs (lncRNAs), remain largely unknown. RNA antisense purification coupled with mass spectrometry (RAP-MS) is a method that enables the identification of direct and specific protein interaction partners of a specific RNA molecule. Because RAP-MS uses direct RNA-protein cross-linking methods coupled along with highly denaturing purification conditions, RAP-MS provides a short list of high confidence protein interactors.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 29%
Researcher 14 11%
Student > Master 14 11%
Student > Bachelor 9 7%
Student > Doctoral Student 6 5%
Other 13 10%
Unknown 36 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 42%
Agricultural and Biological Sciences 16 12%
Chemistry 6 5%
Immunology and Microbiology 5 4%
Nursing and Health Professions 2 2%
Other 7 5%
Unknown 39 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 June 2022.
All research outputs
#6,346,202
of 22,721,584 outputs
Outputs from Methods in molecular biology
#1,909
of 13,084 outputs
Outputs of similar age
#130,204
of 440,676 outputs
Outputs of similar age from Methods in molecular biology
#175
of 1,498 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 13,084 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 85% 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 440,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.