2014
DOI: 10.1038/nmeth.3029
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RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP)

Abstract: Many biological processes are RNA-mediated, but higher-order structures for most RNAs are unknown, making it difficult to understand how RNA structure governs function. Here we describe SHAPE 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 non-complementary nucleotides during cDNA synthesis, as measured by massively parallel sequencing. SHAPE-MaP-guided modeling identified greater than 9… Show more

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Cited by 522 publications
(974 citation statements)
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“…1C). Shannon entropies are derived from a SHAPE-directed partition function (32) and report a measure of confidence in the predicted base-pairing pattern at each nucleotide (26,33). Low entropy also corresponds to high confidence in structure modeling.…”
Section: Resultsmentioning
confidence: 99%
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“…1C). Shannon entropies are derived from a SHAPE-directed partition function (32) and report a measure of confidence in the predicted base-pairing pattern at each nucleotide (26,33). Low entropy also corresponds to high confidence in structure modeling.…”
Section: Resultsmentioning
confidence: 99%
“…S1-S3). This approach has been validated for RNAs of known structure (34) and for identification of novel functional elements in large RNAs (26). The secondary structure models are illustrated using arc plots, which capture both predicted base pairing and the degree of variability in the structural models.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…1). Chemical adducts were detected as sequence mutations based on their ability to induce efficient misreading of the template nucleotide by a reverse transcriptase enzyme, an approach called mutational profiling, or MaP (6). Singlemolecule probing data were used in two distinct ways: to detect correlated RNA modifications reflecting higher-order through-space interactions (Fig.…”
mentioning
confidence: 99%