Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Dec 20;44(12):1280-91.
doi: 10.1021/ar200051h. Epub 2011 May 26.

Exploring RNA structural codes with SHAPE chemistry

Affiliations

Exploring RNA structural codes with SHAPE chemistry

Kevin M Weeks et al. Acc Chem Res. .

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.

PubMed Disclaimer

Figures

Figure 1
Figure 1. The RNA 2′-hydroxyl group and SHAPE chemistry
(A) Position of the 2′-hydroxyl group. (B) Mechanism of the SHAPE reaction to form 2′-O-adducts at flexible nucleotides. (C) Mechanism of the parallel hydrolysis reaction.
Figure 2
Figure 2. Overview of the SHAPE Experiment
(A) RNA is selectively modified (red dots) at flexible nucleotides in an RNA. (B) Positions of adduct formation are detected by primer extension. (C) Primer extension products from the experimental, no-reagent control, and sequencing markers are resolved by capillary electrophoresis. (D) Electropherograms are computationally deconvoluted to yield normalized SHAPE reactivities(see scale). (E) Superposition of SHAPE reactivities on a secondary structure model for the TPP riboswitch aptamer domain.
Figure 3
Figure 3. SHAPE reactivities are independent of nucleotide identity and correlate quantitatively with local nucleotide flexibility
(A) Intrinsic nucleotide-specific reactivities for NMIA and 1M7. (B) Correlation between the model-free generalized order parameter, S2, and SHAPE reactivity in the U1A-binding RNA element Low, medium, and high SHAPE reactivities are emphasized in black, yellow and red, respectively.
Figure 4
Figure 4. Comparison of RNA secondary structure predictions for the 5′ domain of E. coli 16S rRNA
Using (A) no experimental constraints, (B) conventional chemical probing reagents, or (C) SHAPE reactivity-based pseudo free energy change terms (ΔGSHAPE) as constraints. Base pairs in the accepted structure that are missing in the prediction (×) and base pairs that are predicted incorrectly (green and blue lines) are indicated. Green boxes and dots indicate areas in the co-variation structure where SHAPE reactivities support formation of alternate base pairs.
Figure 5
Figure 5. SHAPE reactivities support revised RNA secondary structure models
(A) Original model for the HIV-1 frameshift element and (B) revised model based on S HAPE data. (C) Initial model for the viral dimerization and packaging domain of MuLV and (D) SHAPE-supported model. Red bars and asterisks highlight areas where the SHAPE data are not consistent with a secondary structure model. Notable functional elements in the SHAPE-supported structures are highlighted by blue boxes.
Figure 6
Figure 6. Analysis of complex RNA structural transitions by SHAPE
Structural changes in tRNAAsp induced by varying the Mg 2+concentration, upon heating (Δ), or upon binding by tobramycin are shown,.
Figure 7
Figure 7. Measuring RNA dynamics by SHAPE
(A) Use of fast (1M7) and slow (IA) reagents to detect nucleotides with slow conformational dynamics. (B) Structural context of A130, which exhibits slow dynamics and functions as a molecular timer for folding of an RNase P specificity domain. (C) Time-resolved SHAPE reactivities and (D) representative time–progress curves. (E) Model for time-resolved tertiary folding of the B. subtillis RNase P specificity domain. Nucleotides that fold in the fast verses slow phase are emphasized in red and blue, respectively, in panels C–E.
Figure 8
Figure 8. SHAPE analysis of RNA-protein interactions
(A) Binding of nucleocapsid to the MuLV genomic RNA results in protection of a small number of nucleotides from SHAPE modification. (B) Model for the nucleocapsid RNA binding site. Nucleotides most strongly protected are emphasized in blue; flanking helices are shown as cylinders. (C) The bI3 group I intron RNA exists in a mis- and unfolded state prior to protein binding. (D) Binding by the maturase and Mrs1 proteins stabilize long-range tertiary interactions (blue and red arrows) and induce widespread structural rearrangements as shown by changes in SHAPE reactivities,.
Figure 9
Figure 9. SHAPE reveals a relationship between RNA structure and protein domain structure in the HIV-1 genomic RNA
(A) Organization of the HIV-1 genome, emphasizing the Gag coding region. (B) Median SHAPE reactivities over a moving 75 nucleotide window. (C) Relationship between structured RNA regions and the peptide loops that link independent protein domains in Gag.
Scheme 1
Scheme 1
A toolbox of useful SHAPE reagents.

Similar articles

Cited by

References

    1. Muesing MA, Smith DH, Capon DJ. Regulation of mRNA accumulation by a human immunodeficiency virus trans-activator protein. Cell. 1987;48:691–701. - PubMed
    1. Wang Z, Burge CB. Splicing regulation: from a parts list of regulatory elements to an integrated splicing code. RNA. 2008;14:802–13. - PMC - PubMed
    1. Kozak M. Regulation of translation via mRNA structure in prokaryotes and eukaryotes. Gene. 2005;361:13–37. - PubMed
    1. Watts JM, Dang KK, Gorelick RJ, Leonard CW, Bess JW, Jr, Swanstrom R, Burch CL, Weeks KM. Architecture and secondary structure of an entire HIV-1 RNA genome. Nature. 2009;460:711–6. - PMC - PubMed
    1. Komar AA. A pause for thought along the co-translational folding pathway. Trends Biochem Sci. 2009;34:16–24. - PubMed