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RNA Imaging

Overview of attention for book
Cover of 'RNA Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Imaging Functional Nucleic Acid Delivery to Skin.
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    Chapter 2 In Vivo Magnetic Resonance Imaging of Small Interfering RNA Nanodelivery to Pancreatic Islets.
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    Chapter 3 Magnetic Resonance Spectroscopy of siRNA-Based Cancer Therapy.
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    Chapter 4 Targeted Delivery with Imaging Assessment of siRNA Expressing Nanocassettes into Cancer.
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    Chapter 5 RNA Imaging
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    Chapter 6 Indium-Labeling of siRNA for Small Animal SPECT Imaging.
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    Chapter 7 Imaging of Electrotransferred siRNA.
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    Chapter 8 Whole-Body Scanning PCR, a Tool for the Visualization of the In Vivo Biodistribution Pattern of Endogenous and Exogenous Oligonucleotides in Rodents.
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    Chapter 9 siRNA Nanoparticles for Ultra-Long Gene Silencing In Vivo.
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    Chapter 10 Sensing miRNA: Signal Amplification by Cognate RISC for Intracellular Detection of miRNA in Live Cells.
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    Chapter 11 Molecular Beacon-Based MicroRNA Imaging During Neurogenesis.
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    Chapter 12 Hypoxia-Responsive Copolymer for siRNA Delivery.
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    Chapter 13 Controlling RNA Expression in Cancer Using Iron Oxide Nanoparticles Detectable by MRI and In Vivo Optical Imaging.
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    Chapter 14 Microvesicles: Isolation, Characterization for In Vitro and In Vivo Procedures.
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    Chapter 15 Positive Bioluminescence Imaging of MicroRNA Expression in Small Animal Models Using an Engineered Genetic-Switch Expression System, RILES.
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    Chapter 16 MicroRNA Imaging in Combination with Diagnostic Ultrasound and Bubble Liposomes for MicroRNA Delivery.
Attention for Chapter 15: Positive Bioluminescence Imaging of MicroRNA Expression in Small Animal Models Using an Engineered Genetic-Switch Expression System, RILES.
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Chapter title
Positive Bioluminescence Imaging of MicroRNA Expression in Small Animal Models Using an Engineered Genetic-Switch Expression System, RILES.
Chapter number 15
Book title
RNA Imaging
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3148-4_15
Pubmed ID
Book ISBNs
978-1-4939-3147-7, 978-1-4939-3148-4
Authors

Baril, Patrick, Pichon, Chantal, Patrick Baril Ph.D., Chantal Pichon Ph.D., Patrick Baril, Chantal Pichon

Editors

Zdravka Medarova

Abstract

MicroRNAs (miRNAs) are a class of small, noncoding RNAs which regulate gene expression by directing their target mRNA for degradation or translational repression. Since their discovery in the early 1990s, miRNAs have emerged as key components in the posttranscriptional regulation of gene networks, shaping many biological processes from development, morphogenesis, differentiation, proliferation and apoptosis. Although understanding of the molecular basis of miRNA biology is improving, methods to monitor the dynamic and the spatiotemporal aspects of miRNA expression under physiopathological conditions are required. However, monitoring of miRNAs is difficult due to their small size, low abundance, high degree of sequence similarity, and their dynamic expression pattern which is subjected to tight transcriptional and post-transcriptional controls. Recently, we developed a miRNA monitoring system called RILES, standing for RNAi-inducible expression system, which relies on an engineered regulatable expression system, to switch on the expression of the luciferase gene when the targeted miRNA is expressed in cells. We demonstrated that RILES is a specific, sensitive, and robust method to determine the fine-tuning of miRNA expression during the development of an experimental pathological process in mice. Because RILES offers the possibility for longitudinal studies on individual subjects, sharper insights into miRNA regulation can be generated, with applications in physiology, pathophysiology and development of RNAi-based therapies. This chapter describes methods and protocols to monitor the expression of myomiR-206, -1, and -133 in the tibialis anterior muscle of mice. These protocols can be used and adapted to monitor the expression of other miRNAs in other biological processes.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 2 18%
Other 1 9%
Professor 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 18%
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 2 18%
Veterinary Science and Veterinary Medicine 1 9%
Neuroscience 1 9%
Other 0 0%
Unknown 3 27%

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 23 October 2016.
All research outputs
#6,491,173
of 8,554,039 outputs
Outputs from Methods in molecular biology
#3,236
of 6,258 outputs
Outputs of similar age
#169,638
of 248,229 outputs
Outputs of similar age from Methods in molecular biology
#176
of 352 outputs
Altmetric has tracked 8,554,039 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,258 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 352 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.