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NMR Methods for Characterization of RNA Secondary Structure

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RNA Structure Determination

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1490))

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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Acknowledgements

The efforts of Jim Hart in making the 5S rRNA sample of Fig. 1 are gratefully acknowledged.

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Correspondence to Scott D. Kennedy .

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Kennedy, S.D. (2016). NMR Methods for Characterization of RNA Secondary Structure. In: Turner, D., Mathews, D. (eds) RNA Structure Determination. Methods in Molecular Biology, vol 1490. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6433-8_16

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  • DOI: https://doi.org/10.1007/978-1-4939-6433-8_16

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6431-4

  • Online ISBN: 978-1-4939-6433-8

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