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RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP)

Open access
Siegfried, Nathan A, Busan, Steven, Rice, Greggory M, Nelson, Julie A E, Weeks, Kevin M·2014·Nature Methods

Abstract

Many biological processes are RNA-mediated, but higher-order structures for most RNAs are unknown, which makes it difficult to understand how RNA structure governs function. Here we describe selective 2′-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) that makes possible de novo and large-scale identification of RNA functional motifs. Sites of 2′-hydroxyl acylation by SHAPE are encoded as noncomplementary nucleotides during cDNA synthesis, as measured by massively parallel sequencing. SHAPE-MaP–guided modeling identified greater than 90% of accepted base pairs in complex RNAs of known structure, and we used it to define a new model for the HIV-1 RNA genome. The HIV-1 model contains all known structured motifs and previously unknown elements, including experimentally validated pseudoknots. SHAPE-MaP yields accurate and high-resolution secondary-structure models, enables analysis of low-abundance RNAs, disentangles sequence polymorphisms in single experiments and will ultimately democratize RNA-structure analysis.

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Metadata

Authors
Siegfried, N. A., Busan, S., Rice, G. M., Nelson, J. A. E., & Weeks, K. M.
Venue
Nature Methods
Published
2014-07-13
Volume
11
Issue
9
Pages
959-965
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1985278607
Cited by
654
References
6
FWCI
13.99
Type
journal article
Language
en
Open access
green

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