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RNA Folding

Overview of attention for book
Cover of 'RNA Folding'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 RNA Folding
  3. Altmetric Badge
    Chapter 2 Cis-Acting 5' Hammerhead Ribozyme Optimization for In Vitro Transcription of Highly Structured RNAs.
  4. Altmetric Badge
    Chapter 3 RNA Structural Analysis by Enzymatic Digestion
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    Chapter 4 The Mutate-and-Map Protocol for Inferring Base Pairs in Structured RNA
  6. Altmetric Badge
    Chapter 5 RNA Folding
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    Chapter 6 Massively Parallel RNA Chemical Mapping with a Reduced Bias MAP-Seq Protocol.
  8. Altmetric Badge
    Chapter 7 Probing RNA folding by hydroxyl radical footprinting.
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    Chapter 8 Monitoring Global Structural Changes and Specific Metal-Ion-Binding Sites in RNA by In-line Probing and Tb(III) Cleavage
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    Chapter 9 Chemical Probing of RNA in Living Cells
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    Chapter 10 A Chemogenetic Approach to Study the Structural Basis of Protein-Facilitated RNA Folding
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    Chapter 11 Applying UV Crosslinking to Study RNA–Protein Interactions in Multicomponent Ribonucleoprotein Complexes
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    Chapter 12 The Kinetics of Ribozyme Cleavage: A Tool to Analyze RNA Folding as a Function of Catalysis
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    Chapter 13 RNA Catalytic Activity as a Probe of Chaperone-Mediated RNA Folding
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    Chapter 14 Evaluation of RNA Chaperone Activity In Vivo and In Vitro Using Misfolded Group I Ribozymes
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    Chapter 15 RNA Conformational Changes Analyzed by Comparative Gel Electrophoresis
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    Chapter 16 Detecting RNA Tertiary Folding by Sedimentation Velocity Analytical Ultracentrifugation
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    Chapter 17 RNA Folding Dynamics Using Laser-Assisted Single-Molecule Refolding
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    Chapter 18 RNA Refolding Studied by Light-Coupled NMR Spectroscopy
  20. Altmetric Badge
    Chapter 19 Exploring RNA Oligomerization and Ligand Binding by Fluorescence Correlation Spectroscopy and Small Angle X-Ray Scattering
Attention for Chapter 6: Massively Parallel RNA Chemical Mapping with a Reduced Bias MAP-Seq Protocol.
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Chapter title
Massively Parallel RNA Chemical Mapping with a Reduced Bias MAP-Seq Protocol.
Chapter number 6
Book title
RNA Folding
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-667-2_6
Pubmed ID
Book ISBNs
978-1-62703-666-5, 978-1-62703-667-2
Authors

Matthew G Seetin, Wipapat Kladwang, John P Bida, Rhiju Das, Matthew G. Seetin, John P. Bida, Seetin, Matthew G., Kladwang, Wipapat, Bida, John P., Das, Rhiju

Abstract

Chemical mapping methods probe RNA structure by revealing and leveraging correlations of a nucleotide's structural accessibility or flexibility with its reactivity to various chemical probes. Pioneering work by Lucks and colleagues has expanded this method to probe hundreds of molecules at once on an Illumina sequencing platform, obviating the use of slab gels or capillary electrophoresis on one molecule at a time. Here, we describe optimizations to this method from our lab, resulting in the MAP-seq protocol (Multiplexed Accessibility Probing read out through sequencing), version 1.0. The protocol permits the quantitative probing of thousands of RNAs at once, by several chemical modification reagents, on the time scale of a day using a tabletop Illumina machine. This method and a software package MAPseeker ( http://simtk.org/home/map_seeker ) address several potential sources of bias, by eliminating PCR steps, improving ligation efficiencies of ssDNA adapters, and avoiding problematic heuristics in prior algorithms. We hope that the step-by-step description of MAP-seq 1.0 will help other RNA mapping laboratories to transition from electrophoretic to next-generation sequencing methods and to further reduce the turnaround time and any remaining biases of the protocol.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 11 20%
Student > Master 8 15%
Professor > Associate Professor 4 7%
Professor 3 6%
Other 5 9%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 37%
Agricultural and Biological Sciences 12 22%
Engineering 4 7%
Chemistry 4 7%
Computer Science 2 4%
Other 6 11%
Unknown 6 11%
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 21 October 2013.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from Methods in molecular biology
#7,859
of 13,085 outputs
Outputs of similar age
#229,271
of 305,158 outputs
Outputs of similar age from Methods in molecular biology
#293
of 594 outputs
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So far Altmetric has tracked 13,085 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.
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