The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Selective 2′-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) for direct, versatile and accurate RNA structure analysis
Open accessAbstract
Selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE) chemistries exploit small electrophilic reagents that react with 2′-hydroxyl groups to interrogate RNA structure at single-nucleotide resolution. Mutational profiling (MaP) identifies modified residues by using reverse transcriptase to misread a SHAPE-modified nucleotide and then counting the resulting mutations by massively parallel sequencing. The SHAPE-MaP approach measures the structure of large and transcriptome-wide systems as accurately as can be done for simple model RNAs. This protocol describes the experimental steps, implemented over 3 d, that are required to perform SHAPE probing and to construct multiplexed SHAPE-MaP libraries suitable for deep sequencing. Automated processing of MaP sequencing data is accomplished using two software packages. ShapeMapper converts raw sequencing files into mutational profiles, creates SHAPE reactivity plots and provides useful troubleshooting information. SuperFold uses these data to model RNA secondary structures, identify regions with well-defined structures and visualize probable and alternative helices, often in under 1 d. SHAPE-MaP can be used to make nucleotide-resolution biophysical measurements of individual RNA motifs, rare components of complex RNA ensembles and entire transcriptomes.
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Self-citationPervasive Regulatory Functions of mRNA Structure Revealed by High-Resolution SHAPE Probing
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Metadata
- Authors
- Smola, M. J., Rice, G. M., Busan, S., Siegfried, N. A., & Weeks, K. M.
- Venue
- Nature Protocols
- Published
- 2015-10-01
- Volume
- 10
- Issue
- 11
- Pages
- 1643-1669
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2212720078
- Cited by
- 398
- References
- 52
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- green
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