Long non-coding RNAs (lncRNAs) are critical regulators of numerous physiological processes and diseases, especially cancers. However, development of lncRNA-based therapies is limited because the ...mechanisms of many lncRNAs are obscure, and interactions with functional partners, including proteins, remain uncharacterized. The lncRNA SLNCR1 binds to and regulates the androgen receptor (AR) to mediate melanoma invasion and proliferation in an androgen-independent manner. Here, we use biochemical analyses coupled with selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE) RNA structure probing to show that the N-terminal domain of AR binds a pyrimidine-rich motif in an unstructured region of SLNCR1. This motif is predictive of AR binding, as we identify an AR-binding motif in lncRNA HOXA11-AS-203. Oligonucleotides that bind either the AR N-terminal domain or the AR RNA motif block the SLNCR1-AR interaction and reduce SLNCR1-mediated melanoma invasion. Delivery of oligos that block SLNCR1-AR interaction thus represent a plausible therapeutic strategy.
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•The N-terminal region of AR binds unstructured RNA in a sequence-specific manner•An unstructured lncRNA region scaffolds an invasion-promoting transcription complex•An identified AR RNA-binding motif is predictive of other lncRNA-AR interactions•Sterically blocking the SLNCR-AR interaction blocks melanoma invasion
Androgen receptor (AR)-RNA complexes have been implicated in cancer, including melanoma. Schmidt et al. demonstrate that AR binds a single strand sequence in the long non-coding RNA (lncRNA) SLNCR. Point mutations or oligonucleotides that abrogate AR binding to SLNCR block melanoma invasion, suggesting that targeting lncRNA-protein complexes holds therapeutic promise.
A subset of functional regions within large RNAs fold into complex structures able to bind small-molecule ligands with high affinity and specificity. Fragment-based ligand discovery (FBLD) offers ...notable opportunities for discovery and design of potent small molecules that bind pockets in RNA. Here we share an integrated analysis of recent innovations in FBLD, emphasizing opportunities resulting from fragment elaboration via both linking and growing. Analysis of elaborated fragments emphasizes that high–quality interactions form with complex tertiary structures in RNA. FBLD-inspired small molecules have been shown to modulate RNA functions by competitively inhibiting protein binding and by selectively stabilizing dynamic RNA states. FBLD is creating a foundation to interrogate the relatively unknown structural space for RNA ligands and for discovery of RNA-targeted therapeutics.
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•Fragment-based ligand discovery holds substantial promise for RNA-targeted therapeutics.•Fragment elaboration, either by linking or growing, is essential.•Elaboration can be successful without initial high-resolution RNA structural information.•Complex RNA motifs form more and higher-quality interactions with small-molecule ligands.•Modestly elaborated ligands engage RNA with sub-micromolar affinity and good specificity.
Single-molecule correlated chemical probing of RNA Homan, Philip J.; Favorov, Oleg V.; Lavender, Christopher A. ...
Proceedings of the National Academy of Sciences,
09/2014, Volume:
111, Issue:
38
Journal Article
Peer reviewed
Open access
Significance RNA molecules function as the central conduit of information transfer in biology. To do this, they encode information both in their sequences and in their higher-order structures. ...Understanding the higher-order structure of RNA remains challenging. In this work we devise a simple, experimentally concise, and accurate approach for examining higher-order RNA structure by converting widely used massively parallel sequencing into an easily implemented single-molecule experiment for detecting through-space interactions and multiple conformations. We then use this experiment to analyze higher-order RNA structure, detect biologically important hidden states, and refine accurate three-dimensional structure models.
Complex higher-order RNA structures play critical roles in all facets of gene expression; however, the through-space interaction networks that define tertiary structures and govern sampling of multiple conformations are poorly understood. Here we describe single-molecule RNA structure analysis in which multiple sites of chemical modification are identified in single RNA strands by massively parallel sequencing and then analyzed for correlated and clustered interactions. The strategy thus identifies RNA interaction groups by mutational profiling (RING-MaP) and makes possible two expansive applications. First, we identify through-space interactions, create 3D models for RNAs spanning 80–265 nucleotides, and characterize broad classes of intramolecular interactions that stabilize RNA. Second, we distinguish distinct conformations in solution ensembles and reveal previously undetected hidden states and large-scale structural reconfigurations that occur in unfolded RNAs relative to native states. RING-MaP single-molecule nucleic acid structure interrogation enables concise and facile analysis of the global architectures and multiple conformations that govern function in RNA.
There are large differences between the cellular environment and the conditions widely used to study RNA in vitro. SHAPE RNA structure probing in Escherichia coli cells has shown that the cellular ...environment stabilizes both long-range and local tertiary interactions in the adenine riboswitch aptamer domain. Synthetic crowding agents are widely used to understand the forces that stabilize RNA structure and in efforts to recapitulate the cellular environment under simplified experimental conditions. Here, we studied the structure and ligand binding ability of the adenine riboswitch in the presence of the macromolecular crowding agent, polyethylene glycol (PEG). Ethylene glycol and low-molecular mass PEGs destabilized RNA structure and caused the riboswitch to sample secondary structures different from those observed in simple buffered solutions or in cells. In the presence of larger PEGs, longer-range loop–loop interactions were more similar to those in cells than in buffer alone, consistent with prior work showing that larger PEGs stabilize compact RNA states. Ligand affinity was weakened by low-molecular mass PEGs but increased with high-molecular mass PEGs, indicating that PEG cosolvents exert complex chemical and steric effects on RNA structure. Regardless of polymer size, however, nucleotide-resolution structural characteristics observed in cells were not recapitulated in PEG solutions. Our results reveal that the cellular environment is difficult to recapitulate in vitro; mimicking the cellular state will likely require a combination of crowding agents and other chemical species.
Conspectus RNA molecules convey biological information both in their linear sequence and in their base-paired secondary and tertiary structures. Chemical probing experiments, which involve treating ...an RNA with a reagent that modifies conformationally dynamic nucleotides, have broadly enabled examination of short- and long-range RNA structure in diverse contexts, including in living cells. For decades, chemical probing experiments have been interpreted in a per-nucleotide way, such that the reactivity measured at each nucleotide reports the average structure at a position over all RNA molecules within a sample. However, there are numerous important cases where per-nucleotide chemical probing falls short, including for RNAs that are bound by proteins, RNAs that form complex higher order structures, and RNAs that sample multiple conformations. Recent experimental and computational innovations have started a revolution in RNA structure analysis by transforming chemical probing into a massively parallel, single-molecule experiment. Enabled by a specialized reverse transcription strategy called mutational profiling (MaP), multiple chemical modification events can be measured within individual RNA molecules. Nucleotides that communicate structurally through direct base pairing or large-scale folding–unfolding transitions will react with chemical probes in a correlated manner, thereby revealing structural complexity hidden to conventional approaches. These single-molecule correlated chemical probing (smCCP) experiments can be interpreted to directly identify nucleotides that base pair (the PAIR-MaP strategy) and to reveal long-range, through-space structural communication (RING-MaP). Correlated probing can also define the thermodynamic populations of complex RNA ensembles (DANCE-MaP). Complex RNA–protein networks can be interrogated by cross-linking proteins to RNA and measuring correlations between cross-linked positions (RNP-MaP). smCCP thus visualizes RNA secondary and higher-order structure with unprecedented accuracy, defining novel structures, RNA–protein interaction networks, time-resolved dynamics, and allosteric structural switches. These strategies are not mutually exclusive; in favorable cases, multiple levels of RNA structure base pairing, through-space structural communication, and equilibrium ensembles can be resolved concurrently. The physical experimentation required for smCCP is profoundly simple, and experiments are readily performed in cells on RNAs of any size, including large noncoding RNAs and mRNAs. Single-molecule correlated chemical probing is paving the way for a new generation of biophysical studies on RNA in living systems.
Every class of RNA forms base-paired structures that impact biological functions. Chemical probing of RNA structure, especially with the advent of strategies such as SHAPE-MaP, vastly expands the ...scale and quantitative accuracy over which RNA structure can be examined. These methods have enabled large-scale structural studies of mRNAs and lncRNAs, but the length and complexity of these RNAs makes interpretation of the data challenging. We have created modules available through the open-source Integrative Genomics Viewer (IGV) for straightforward visualization of RNA structures along with complementary experimental data. Here we present detailed and stepwise strategies for exploring and visualizing complex RNA structures in IGV. Individuals can use these instructions and supplied sample data to become adept at using IGV to visualize RNA structure models in conjunction with useful allied information.
There are large differences between the intracellular environment and the conditions widely used to study RNA structure and function in vitro. To assess the effects of the crowded cellular ...environment on RNA, we examined the structure and ligand binding function of the adenine riboswitch aptamer domain in healthy, growing Escherichia coli cells at single-nucleotide resolution on the minute time scale using SHAPE (selective 2′-hydroxyl acylation analyzed by primer extension). The ligand-bound aptamer structure is essentially the same in cells and in buffer at 1 mM Mg2+, the approximate Mg2+ concentration we measured in cells. In contrast, the in-cell conformation of the ligand-free aptamer is much more similar to the fully folded ligand-bound state. Even adding high Mg2+ concentrations to the buffer used for in vitro analyses did not yield the conformation observed for the free aptamer in cells. The cellular environment thus stabilizes the aptamer significantly more than does Mg2+ alone. Our results show that the intracellular environment has a large effect on RNA structure that ultimately favors highly organized conformations.
RNA-protein interaction networks govern many biological processes but are difficult to examine comprehensively. We devised ribonucleoprotein networks analyzed by mutational profiling (RNP-MaP), a ...live-cell chemical probing strategy that maps cooperative interactions among multiple proteins bound to single RNA molecules at nucleotide resolution. RNP-MaP uses a hetero-bifunctional crosslinker to freeze interacting proteins in place on RNA and then maps multiple bound proteins on single RNA strands by read-through reverse transcription and DNA sequencing. RNP-MaP revealed that RNase P and RMRP, two sequence-divergent but structurally related non-coding RNAs, share RNP networks and that network hubs define functional sites in these RNAs. RNP-MaP also identified protein interaction networks conserved between mouse and human XIST long non-coding RNAs and defined protein communities whose binding sites colocalize and form networks in functional regions of XIST. RNP-MaP enables discovery and efficient validation of functional protein interaction networks on long RNAs in living cells.
RNA structure and dynamics are critical to biological function. However, strategies for determining RNA structure in vivo are limited, with established chemical probing and newer duplex detection ...methods each having deficiencies. Here we convert the common reagent dimethyl sulfate into a useful probe of all 4 RNA nucleotides. Building on this advance, we introduce PAIR-MaP, which uses single-molecule correlated chemical probing to directly detect base-pairing interactions in cells. PAIR-MaP has superior resolution compared to alternative experiments, can resolve multiple sets of pairing interactions for structurally dynamic RNAs, and enables highly accurate structure modeling, including of RNAs containing multiple pseudoknots and extensively bound by proteins. Application of PAIR-MaP to human RNase MRP and 2 bacterial messenger RNA 5′ untranslated regions reveals functionally important and complex structures undetected by prior analyses. PAIR-MaP is a powerful, experimentally concise, and broadly applicable strategy for directly visualizing RNA base pairs and dynamics in cells.
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