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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
  3. Altmetric Badge
    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
  6. Altmetric Badge
    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
  33. Altmetric Badge
    Chapter 32 Erratum to: Super-Resolution Single Molecule FISH at the Drosophila Neuromuscular Junction
Attention for Chapter 1: The Secret Life of RNA: Lessons from Emerging Methodologies
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Chapter title
The Secret Life of RNA: Lessons from Emerging Methodologies
Chapter number 1
Book title
RNA Detection
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7213-5_1
Pubmed ID
Book ISBNs
978-1-4939-7212-8, 978-1-4939-7213-5
Authors

Caroline Medioni, Florence Besse

Abstract

The last past decade has witnessed a revolution in our appreciation of transcriptome complexity and regulation. This remarkable expansion in our knowledge largely originates from the advent of high-throughput methodologies, and the consecutive discovery that up to 90% of eukaryotic genomes are transcribed, thus generating an unanticipated large range of noncoding RNAs (Hangauer et al., 15(4):112, 2014). Besides leading to the identification of new noncoding RNA species, transcriptome-wide studies have uncovered novel layers of posttranscriptional regulatory mechanisms controlling RNA processing, maturation or translation, and each contributing to the precise and dynamic regulation of gene expression. Remarkably, the development of systems-level studies has been accompanied by tremendous progress in the visualization of individual RNA molecules in single cells, such that it is now possible to image RNA species with a single-molecule resolution from birth to translation or decay. Monitoring quantitatively, with unprecedented spatiotemporal resolution, the fate of individual molecules has been key to understanding the molecular mechanisms underlying the different steps of RNA regulation. This has also revealed biologically relevant, intracellular and intercellular heterogeneities in RNA distribution or regulation. More recently, the convergence of imaging and high-throughput technologies has led to the emergence of spatially resolved transcriptomic techniques that provide a means to perform large-scale analyses while preserving spatial information. By generating transcriptome-wide data on single-cell RNA content, or even subcellular RNA distribution, these methodologies are opening avenues to a wide range of network-level studies at the cell and organ-level, and promise to strongly improve disease diagnostic and treatment.In this introductory chapter, we highlight how recently developed technologies aiming at detecting and visualizing RNA molecules have contributed to the emergence of entirely new research fields, and to dramatic progress in our understanding of gene expression regulation.

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 50%
Student > Bachelor 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Unknown 1 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 50%
Chemistry 2 20%
Agricultural and Biological Sciences 1 10%
Engineering 1 10%
Unknown 1 10%
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
#14,367,874
of 23,007,887 outputs
Outputs from Methods in molecular biology
#4,225
of 13,157 outputs
Outputs of similar age
#240,417
of 442,278 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,498 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 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 64% 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 442,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 66% of its contemporaries.