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Updated: Apr 15, 2026

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RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
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SHAPE Selection (SHAPES) enrich for RNA structure signal in SHAPE sequencing-based probing data
Line Dahl Poulsen1, Lukasz Jan Kielpinski1, Sofie R Salama2
1Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark.
Summary
A new method called SHAPE Selection (SHAPES) uses a special reagent to improve RNA structure probing. This technique effectively reduces background noise, making it ideal for challenging applications like in vivo RNA structure analysis.
Area of Science:
- Molecular Biology
- Biochemistry
- RNA Biology
Background:
- Selective 2' Hydroxyl Acylation analyzed by Primer Extension (SHAPE) is a key method for RNA secondary structure determination.
- Current SHAPE methods require normalization to a no-reagent control to mitigate background signals from reverse transcriptase premature termination.
Purpose of the Study:
- To introduce a novel SHAPE Selection (SHAPES) reagent, N-propanone isatoic anhydride (NPIA).
- To demonstrate the efficacy of SHAPES in reducing background noise and enriching probed RNAs for improved RNA structure analysis.
Main Methods:
- Development and application of the SHAPES reagent (NPIA) for RNA structure probing.
- Utilizing SHAPES for covalent coupling of the reagent to a biotin molecule.
- Employing streptavidin bead-based selection of cDNA-RNA hybrids to remove background signal.
Main Results:
- SHAPES-based selection significantly reduces background signal in SHAPE probing data.
- Sequencing-based SHAPES data retain the same RNA structure information as conventional SHAPE methods.
- The SHAPES strategy demonstrates efficient enrichment of probed RNAs.
Conclusions:
- The SHAPES reagent offers an effective solution for background reduction in RNA structure probing.
- SHAPES is particularly advantageous for applications with high background and low probing signals, such as in vivo RNA structure analysis.
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