ArticleAccounts of chemical research2011
Exploring RNA structural codes with SHAPE chemistry.
Article in Accounts of chemical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
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Who cites it
101 citing papers in PubMed, 156 citations in OpenAlex.
- RNA regulation in plants.Science China. Life sciences · 2026Review
- Beyond the Sequence: Chemical and Topological Design and Innovations in mRNA Therapeutics.Chemical reviews · 2026Review
- Deep learning for RNA secondary structure determination: gauging generalizability and broadening the scope of traditional methods.RNA (New York, N.Y.) · 2026Review
- Covalent aptamers: agents with promising therapeutic and diagnostic potential.RSC chemical biology · 2026Review
- Mapping the RNA Chaperone Activity of the Trypanosoma brucei Editosome Using SHAPE-Chemical Probing.Methods in molecular biology (Clifton, N.J.) · 2026Article
- RAP-RNA: A Methodological Approach to Study Base-Pairing Between Endogenous RNAs.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Enhancing RNA 3D Structure Prediction in CASP16: Integrating Physics-Based Modeling With Machine Learning for Improved Predictions.Proteins · 2026Article
- SHAPE-Based Chemical Probes for Studying preQACS chemical biology · 2025Article
- Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional Methods.bioRxiv : the preprint server for biology · 2025Article
- A sequence-specific RNA acetylation catalyst.Nucleic acids research · 2025Article
- Chemical-guided SHAPE sequencing (cgSHAPE-seq) informs the binding site of RNA-degrading chimeras targeting SARS-CoV-2 5' untranslated region.Nature communications · 2025Article
- Bioorthogonal Cyclopropenones for Investigating RNA Structure.ACS chemical biology · 2024Article
- A sequence-specific RNA acetylation catalyst.bioRxiv : the preprint server for biology · 2024Article
- MMTV RNA packaging requires an extended long-range interaction for productive Gag binding to packaging signals.PLoS biology · 2024Article
- Machine learning in RNA structure prediction: Advances and challenges.Biophysical journal · 2024Review
- Modeling the structure and DAP5-binding site of the FGF-9 5'-UTR RNA utilized in cap-independent translation.RNA (New York, N.Y.) · 2024Article
- Bipartite viral RNA genome heterodimerization influences genome packaging and virion thermostability.Journal of virology · 2024Article
- Identification of a putative Gag binding site critical for feline immunodeficiency virus genomic RNA packaging.RNA (New York, N.Y.) · 2023Article
- AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders.BMC bioinformatics · 2023Article
- Chemical-guided SHAPE sequencing (cgSHAPE-seq) informs the binding site of RNA-degrading chimeras targeting SARS-CoV-2 5' untranslated region.bioRxiv : the preprint server for biology · 2023Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
RNA is the central conduit for gene expression. This role depends on an ability to encode information at two levels: in its linear sequence and in the complex structures RNA can form by folding back on itself. Understanding the global structure-function interrelationships mediated by RNA remains a great challenge in molecular and structural biology. In this Account, we discuss evolving work in our laboratory focused on creating facile, generic, quantitative, accurate, and highly informative approaches for understanding RNA structure in biologically important environments. The core innovation derives from our discovery that the nucleophilic reactivity of the ribose 2'-hydroxyl in RNA is gated by local nucleotide flexibility. The 2'-hydroxyl is reactive at conformationally flexible positions but is unreactive at nucleotides constrained by base pairing. Sites of modification in RNA can be detected efficiently either using primer extension or by protection from exoribonucleolytic degradation. This technology is now called SHAPE, for selective 2'-hydroxyl acylation analyzed by primer extension (or protection from exoribonuclease). SHAPE reactivities are largely independent of nucleotide identity but correlate closely with model-free measurements of molecular order. The simple SHAPE reaction is thus a robust, nucleotide-resolution, biophysical measurement of RNA structure. SHAPE can be used to provide an experimental correction to RNA folding algorithms and, in favorable cases, yield kilobase-scale secondary structure predictions with high accuracies. SHAPE chemistry is based on very simple reactive carbonyl centers that can be varied to yield slow- and fast-reacting reagents. Differential SHAPE reactivities can be used to detect specific RNA positions with slow local nucleotide dynamics. These positions, which are often in the C2'-endo conformation, have the potential to function as molecular timers that regulate RNA folding and function. In addition, fast-reacting SHAPE reagents can be used to visualize RNA structural biogenesis and RNA-protein assembly reactions in one second snapshots in very straightforward experiments. The application of SHAPE to challenging problems in biology has revealed surprises in well-studied systems. New regions have been identified that are likely to have critical functional roles on the basis of their high levels of RNA structure. For example, SHAPE analysis of large RNAs, such as authentic viral RNA genomes, suggests that RNA structure organizes regulatory motifs and regulates splicing, protein folding, genome recombination, and ribonucleoprotein assembly. SHAPE has also revealed limitations to the hierarchical model for RNA folding. Continued development and application of SHAPE technologies will advance our understanding of the many ways in which the genetic code is expressed through the underlying structure of RNA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.