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RNA Scaffolds

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Cover of 'RNA Scaffolds'

Table of Contents

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    Book Overview
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    Chapter 1 A Method to Predict the 3D Structure of an RNA Scaffold
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    Chapter 2 Post-crystallization Improvement of RNA Crystal Diffraction Quality
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    Chapter 3 Expression and Purification of RNA–Protein Complexes in Escherichia coli
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    Chapter 4 Production of Homogeneous Recombinant RNA Using a tRNA Scaffold and Hammerhead Ribozymes
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    Chapter 5 In Vivo Production of Small Recombinant RNAs Embedded in a 5S rRNA-Derived Protective Scaffold
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    Chapter 6 Detection of RNA–Protein Interactions Using Tethered RNA Affinity Capture
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    Chapter 7 A Universal Method for Labeling Native RNA in Live Bacterial Cells
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    Chapter 8 Live Cell Imaging Using Riboswitch-Spinach tRNA Fusions as Metabolite-Sensing Fluorescent Biosensors.
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    Chapter 9 RNA Scaffold: Designed to Co-localize Enzymes
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    Chapter 10 Artificial Ligase Ribozymes Isolated by a “Design and Selection” Strategy
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    Chapter 11 Engineering aptazyme switches for conditional gene expression in Mammalian cells utilizing an in vivo screening approach.
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    Chapter 12 Aptazyme-Based Riboswitches and Logic Gates in Mammalian Cells
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    Chapter 13 Design and Characterization of Topological Small RNAs.
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    Chapter 14 Folding RNA-Protein Complex into Designed Nanostructures.
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    Chapter 15 Simple Method for Constructing RNA Triangle, Square, Pentagon by Tuning Interior RNA 3WJ Angle from 60° to 90° or 108°.
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    Chapter 16 RNA-Mediated CdS-Based Nanostructures.
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    Chapter 17 An Effective Method for Specific Gene Silencing in Escherichia coli Using Artificial Small RNA.
Attention for Chapter 13: Design and Characterization of Topological Small RNAs.
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Chapter title
Design and Characterization of Topological Small RNAs.
Chapter number 13
Book title
RNA Scaffolds
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2730-2_13
Pubmed ID
Book ISBNs
978-1-4939-2729-6, 978-1-4939-2730-2
Authors

Hassall, Jack, MacDonald, Paul, Cordero, Teresa, Rostain, William, Jaramillo, Alfonso, Jack Hassall, Paul MacDonald, Teresa Cordero, William Rostain, Alfonso Jaramillo

Abstract

RNA can self-assemble into complex structures through base pairing, as well as encode information and bind with proteins to induce enzymatic activity. Furthermore, RNA can possess intrinsic enzymatic-like (ribozymatic) activity, a property that, if necessary, can be activated only upon the binding of a small molecule or another RNA (as is the case in aptazymes). As such, RNA could be of use in nanotechnology as a programmable polymer capable of self-assembling into complex topological structures. In this chapter we describe a method for designing advanced topological structures using self-circulating RNA, exemplified by three tiers of topologically manipulated self-assembling synthetic RNA systems. The first tier of topological manipulation, the RNA knot is a physically locked structure, formed by circularizing one monomer of knotted single-stranded RNA left with loose ends (an "open" knot). The second tier, a two interlocking ring system, is made by interlocking two circular RNA components: a circular RNA target, and an RNA lasso designed to intercalate the target before circularizing. The third tier naturally extends this system into a string of topologically locked circular RNA molecules (an RNA chain). We detail the methodology used for designing such topologically complex RNAs, including computational predictions of secondary structure, and where appropriate, RNA-RNA interactions, illustrated by examples. We then describe the experimental methods used for characterizing such structures, and provide sequences of building blocks that can be used for topological manipulation of RNA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 5 16%
Student > Master 5 16%
Student > Ph. D. Student 5 16%
Professor 3 10%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 45%
Agricultural and Biological Sciences 6 19%
Chemistry 2 6%
Computer Science 1 3%
Social Sciences 1 3%
Other 3 10%
Unknown 4 13%
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 04 February 2016.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Methods in molecular biology
#9,905
of 13,120 outputs
Outputs of similar age
#295,802
of 353,075 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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