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RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single
Kevin A Wilkinson1, Edward J Merino, Kevin M Weeks
1Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27599-3290, USA.
Nature Protocols
|April 5, 2007
Summary
Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) measures RNA flexibility at single-nucleotide resolution. This method reveals RNA secondary structure, aids prediction algorithms, and detects ligand binding sites efficiently.
Area of Science:
- Biochemistry
- Molecular Biology
- Biophysics
Background:
- RNA backbone flexibility influences RNA structure and function.
- Understanding RNA conformational dynamics is crucial for deciphering biological roles.
- Existing methods may lack single-nucleotide resolution or broad applicability.
Purpose of the Study:
- To present and validate Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) as a method for RNA flexibility assessment.
- To demonstrate SHAPE's utility in RNA structure determination and analysis.
- To highlight SHAPE's applicability across various solution environments.
Main Methods:
- RNA nucleotides are acylated at the 2'-hydroxyl group by electrophiles like N-methylisatoic anhydride (NMIA).
- Acylation sites, indicating flexibility, are detected as primer extension stops.
- Electrophoretic separation of extension products quantifies reactivity at single-nucleotide resolution.
Main Results:
- SHAPE accurately scores local nucleotide flexibility for all four ribonucleotides.
- The method exhibits a dynamic range of 20-fold or greater, distinguishing flexible from paired residues.
- SHAPE requires minimal optimization and can be completed within two days for typical RNA sizes.
Conclusions:
- SHAPE provides quantitative insights into RNA local backbone flexibility.
- SHAPE data can refine RNA secondary structure prediction and identify structural variations.
- This technique is valuable for monitoring RNA structural states and ligand interactions.

