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RNA Nanotechnology and Therapeutics

Overview of attention for book
Cover of 'RNA Nanotechnology and Therapeutics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of methods in RNA nanotechnology: synthesis, purification, and characterization of RNA nanoparticles.
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    Chapter 2 Multiple Approaches for the Investigation of Bacterial Small Regulatory RNAs Self-assembly.
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    Chapter 3 Measuring the Elasticity of Ribonucleotide(s)-Containing DNA Molecules Using AFM.
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    Chapter 4 Silver nanoclusters for RNA nanotechnology: steps towards visualization and tracking of RNA nanoparticle assemblies.
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    Chapter 5 Large scale purification of RNA nanoparticles by preparative ultracentrifugation.
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    Chapter 6 HPLC Purification of RNA Aptamers up to 59 Nucleotides with Single-Nucleotide Resolution
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    Chapter 7 Using RNA nanoparticles with thermostable motifs and fluorogenic modules for real-time detection of RNA folding and turnover in prokaryotic and eukaryotic cells.
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    Chapter 8 Fluorescence Labeling of Short RNA by Oxidation at the 3′-End
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    Chapter 9 Methods and assays for specific targeting and delivery of RNA nanoparticles to cancer metastases.
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    Chapter 10 Functional assays for specific targeting and delivery of RNA nanoparticles to brain tumor.
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    Chapter 11 Aptamer-Mediated Nanoparticle Interactions: From Oligonucleotide–Protein Complexes to SELEX Screens
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    Chapter 12 Methods for Assembling B-Cell Lymphoma Specific and Internalizing Aptamer-siRNA Nanoparticles Via the Sticky Bridge.
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    Chapter 13 A high-throughput screening assay for the functional delivery of splice-switching oligonucleotides in human melanoma cells.
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    Chapter 14 Design, Assembly, and Evaluation of RNA-Protein Nanostructures.
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    Chapter 15 Mapping RNA Interactions to Proteins in Virions Using CLIP-Seq
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    Chapter 16 Mapping Protein–RNA Interactions by RCAP, RNA-Cross-Linking and Peptide Fingerprinting
Attention for Chapter 7: Using RNA nanoparticles with thermostable motifs and fluorogenic modules for real-time detection of RNA folding and turnover in prokaryotic and eukaryotic cells.
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Chapter title
Using RNA nanoparticles with thermostable motifs and fluorogenic modules for real-time detection of RNA folding and turnover in prokaryotic and eukaryotic cells.
Chapter number 7
Book title
RNA Nanotechnology and Therapeutics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2562-9_7
Pubmed ID
Book ISBNs
978-1-4939-2561-2, 978-1-4939-2562-9
Authors

Zhang, Hui, Pi, Fengmei, Shu, Dan, Vieweger, Mario, Guo, Peixuan, Zhaoru Zhang, Timo Vihma, Achim Stössel, Petteri Uotila, Hui Zhang, Fengmei Pi, Dan Shu, Mario Vieweger, Peixuan Guo

Abstract

RNA nanotechnology is an emerging field at the interface of biochemistry and nanomaterials that shows immense promise for applications in nanomedicines, therapeutics and nanotechnology. Noncoding RNAs, such as siRNA, miRNA, ribozymes, and riboswitches, play important roles in the regulation of cellular processes. They carry out highly specific functions on a compact and efficient footprint. The properties of specificity and small size make them excellent modules in the construction of multifaceted RNA nanoparticles for targeted delivery and therapy. Biological activity of RNA molecules, however, relies on their proper folding. Therefore their thermodynamic and biochemical stability in the cellular environment is critical. Consequently, it is essential to assess global fold and intracellular lifetime of multifaceted RNA nanoparticles to optimize their therapeutic effectiveness. Here, we describe a method to express and assemble stable RNA nanoparticles in cells, and to assess the folding and turnover rate of RNA nanoparticles in vitro as well as in vivo in real time using a thermostable core motif derived from pRNA of bacteriophage Phi29 DNA packaging motor and fluorogenic RNA modules.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
China 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 45%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Chemistry 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Veterinary Science and Veterinary Medicine 1 9%
Materials Science 1 9%
Other 0 0%
Unknown 3 27%
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 09 January 2016.
All research outputs
#18,407,102
of 22,800,560 outputs
Outputs from Methods in molecular biology
#7,909
of 13,120 outputs
Outputs of similar age
#255,806
of 353,070 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,120 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 353,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.