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RNA Structure Determination

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Attention for Chapter 16: NMR Methods for Characterization of RNA Secondary Structure
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Chapter title
NMR Methods for Characterization of RNA Secondary Structure
Chapter number 16
Book title
RNA Structure Determination
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6433-8_16
Pubmed ID
Book ISBNs
978-1-4939-6431-4, 978-1-4939-6433-8
Authors

Scott D. Kennedy

Abstract

Knowledge of RNA secondary structure is often sufficient to identify relationships between the structure of RNA and processing pathways, and the design of therapeutics. Nuclear magnetic resonance (NMR) can identify types of nucleotide base pairs and the sequence, thus limiting possible secondary structures. Because NMR experiments, like chemical mapping, are performed in solution, not in single crystals, experiments can be initiated as soon as the biomolecule is expressed and purified. This chapter summarizes NMR methods that permit rapid identification of RNA secondary structure, information that can be used as supplements to chemical mapping, and/or as preliminary steps required for 3D structure determination. The primary aim is to provide guidelines to enable a researcher with minimal knowledge of NMR to quickly extract secondary structure information from basic datasets. Instrumental and sample considerations that can maximize data quality are discussed along with some details for optimal data acquisition and processing parameters. Approaches for identifying base pair types in both unlabeled and isotopically labeled RNA are covered. Common problems, such as missing signals and overlaps, and approaches to address them are considered. Programs under development for merging NMR data with structure prediction algorithms are briefly discussed.

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Unspecified 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 5 56%