Structured RNA Target Research Articles

TFOFinder: Python program for identifying purine-only double-stranded stretches in the predicted secondary structure(s) of RNA targets.

Nucleic acid probes are valuable tools in biology and chemistry and are indispensable for PCR amplification of DNA, RNA quantification and visualization, and downregulation of gene expression. Recently, triplex-forming oligonucleotides (TFO) have received increased attention due to their improved selectivity and sensitivity in recognizing purine-rich double-stranded RNA regions at physiological pH by incorporating backbone and base modifications. For example, triplex-forming peptide nucleic acid (PNA) oligomers have been used for imaging a structured RNA in cells and inhibiting influenza A replication. Although a handful of programs are available to identify triplex target sites (TTS) in DNA, none are available that find such regions in structured RNAs. Here, we describe TFOFinder, a Python program that facilitates the identification of intramolecular purine-only RNA duplexes that are amenable to forming parallel triple helices (pyrimidine/purine/pyrimidine) and the design of the corresponding TFO(s). We performed genome- and transcriptome-wide analyses of TTS in Drosophila melanogaster and found that only 0.3% (123) of total unique transcripts (35,642) show the potential of forming 12-purine long triplex forming sites that contain at least one guanine. Using minimization algorithms, we predicted the secondary structure(s) of these transcripts, and using TFOFinder, we found that 97 (79%) of the identified 123 transcripts are predicted to fold to form at least one TTS for parallel triple helix formation. The number of transcripts with potential purine TTS increases when the strict search conditions are relaxed by decreasing the length of the probe or by allowing up to two pyrimidine inversions or 1-nucleotide bulge in the target site. These results are encouraging for the use of modified triplex forming probes for live imaging of endogenous structured RNA targets, such as pre-miRNAs, and inhibition of target-specific translation and viral replication.

A programmable pAgo nuclease with RNA target-cleavage specificity from the mesophilic bacterium Verrucomicrobia.

Argonaute (Ago) proteins are conserved programmable nucleases present in eukaryotes and prokaryotes and provide defense against mobile genetic elements. Almost all characterized pAgos prefer to cleave DNA targets. Here, we describe a novel pAgo from Verrucomicrobia bacterium (VbAgo) that can specifically cleave RNA targets rather than DNA targets at 37°C and function as a multiple-turnover enzyme showing prominent catalytic capacity. VbAgo utilizes DNA guides (gDNAs) to cleave RNA targets at the canonical cleavage site. Meanwhile, the cleavage activity is remarkably strengthened at low concentrations of NaCl. In addition, VbAgo presents a weak tolerance for mismatches between gDNAs and RNA targets, and single-nucleotide mismatches at positions 11‒12 and dinucleotide mismatches at positions 3‒15 dramatically reduce target cleavage. Moreover, VbAgo can efficiently cleave highly structured RNA targets at 37°C. These properties of VbAgo broaden our understanding of Ago proteins and expand the pAgo-based RNA manipulation toolbox.

RNA Secondary Structure Analysis Using RNAstructure.

RNAstructure is a user-friendly program for the prediction and analysis of RNA secondary structure. It is available as a web server, a program with a graphical user interface, or a set of command line tools. The programs are available for Microsoft Windows, macOS, or Linux. This article provides protocols for prediction of RNA secondary structure (using the web server, the graphical user interface, or the command line) and high-affinity oligonucleotide binding sites to a structured RNA target (using the graphical user interface). © 2023 Wiley Periodicals LLC. Basic Protocol 1: Predicting RNA secondary structure using the RNAstructure web server Alternate Protocol 1: Predicting secondary structure and base pair probabilities using the RNAstructure graphical user interface Alternate Protocol 2: Predicting secondary structure and base pair probabilities using the RNAstructure command line interface Basic Protocol 2: Predicting binding affinities of oligonucleotides complementary to an RNA target using OligoWalk.

ScanFold 2.0: a rapid approach for identifying potential structured RNA targets in genomes and transcriptomes.

A major limiting factor in target discovery for both basic research and therapeutic intervention is the identification of structural and/or functional RNA elements in genomes and transcriptomes. This was the impetus for the original ScanFold algorithm, which provides maps of local RNA structural stability, evidence of sequence-ordered (potentially evolved) structure, and unique model structures comprised of recurring base pairs with the greatest structural bias. A key step in quantifying this propensity for ordered structure is the prediction of secondary structural stability for randomized sequences which, in the original implementation of ScanFold, is explicitly evaluated. This slow process has limited the rapid identification of ordered structures in large genomes/transcriptomes, which we seek to overcome in this current work introducing ScanFold 2.0. In this revised version of ScanFold, we no longer explicitly evaluate randomized sequence folding energy, but rather estimate it using a machine learning approach. For high randomization numbers, this can increase prediction speeds over 100-fold compared to ScanFold 1.0, allowing for the analysis of large sequences, as well as the use of additional folding algorithms that may be computationally expensive. In the testing of ScanFold 2.0, we re-evaluate the Zika, HIV, and SARS-CoV-2 genomes and compare both the consistency of results and the time of each run to ScanFold 1.0. We also re-evaluate the SARS-CoV-2 genome to assess the quality of ScanFold 2.0 predictions vs several biochemical structure probing datasets and compare the results to those of the original ScanFold program.

A programmable pAgo nuclease with RNA target preference from the psychrotolerant bacterium Mucilaginibacter paludis.

Argonaute (Ago) proteins are programmable nucleases found in eukaryotes and prokaryotes. Prokaryotic Agos (pAgos) share a high degree of structural homology with eukaryotic Agos (eAgos), and eAgos originate from pAgos. Although eAgos exclusively cleave RNA targets, most characterized pAgos cleave DNA targets. This study characterized a novel pAgo, MbpAgo, from the psychrotolerant bacterium Mucilaginibacter paludis which prefers to cleave RNA targets rather than DNA targets. Compared to previously studied Agos, MbpAgo can utilize both 5′phosphorylated(5′P) and 5′hydroxylated(5′OH) DNA guides (gDNAs) to efficiently cleave RNA targets at the canonical cleavage site if the guide is between 15 and 17 nt long. Furthermore, MbpAgo is active at a wide range of temperatures (4–65°C) and displays no obvious preference for the 5′-nucleotide of a guide. Single-nucleotide and most dinucleotide mismatches have no or little effects on cleavage efficiency, except for dinucleotide mismatches at positions 11–13 that dramatically reduce target cleavage. MbpAgo can efficiently cleave highly structured RNA targets using both 5′P and 5′OH gDNAs in the presence of Mg2+ or Mn2+. The biochemical characterization of MbpAgo paves the way for its use in RNA manipulations such as nucleic acid detection and clearance of RNA viruses.

Interrogation of highly structured RNA with multicomponent deoxyribozyme probes at ambient temperatures.

Molecular analysis of RNA through hybridization with sequence-specific probes is challenging due to the intrinsic ability of RNA molecules to form stable secondary and tertiary structures. To overcome the energy barrier toward the probe–RNA complex formation, the probes are made of artificial nucleotides, which are more expensive than their natural counterparts and may still be inefficient. Here, we propose the use of a multicomponent probe based on an RNA-cleaving deoxyribozyme for the analysis of highly structured RNA targets. Efficient interrogation of two native RNA from Saccharomyces cerevisiae—a transfer RNA (tRNA) and 18S ribosomal RNA (rRNA)—was achieved at ambient temperature. We achieved detection limits of tRNA down to ∼0.3 nM, which is two orders of magnitude lower than that previously reported for molecular beacon probes. Importantly, no probe annealing to the target was required, with the hybridization assay performed at 37°C. Excess of nonspecific targets did not compromise the performance of the probe, and high interrogation efficiency was maintained by the probes even in complex matrices, such as cell lysate. A linear dynamic range of 0.3–150 nM tRNA was demonstrated. The probe can be adapted for differentiation of a single mismatch in the tRNA–probe complex. Therefore, this study opens a venue toward highly selective, sensitive, robust, and inexpensive assays for the interrogation of biological RNA.

Engineering of a thermostable viral polymerase using metagenome-derived diversity for highly sensitive and specific RT-PCR.

Reverse transcription is an essential initial step in the analysis of RNA for most PCR-based amplification and detection methods. Despite advancements in these technologies, efficient conversion of RNAs that form stable secondary structures and double-stranded RNA targets remains challenging as retroviral-derived reverse transcriptases are often not sufficiently thermostable to catalyze synthesis at temperatures high enough to completely relax these structures. Here we describe the engineering and improvement of a thermostable viral family A polymerase with inherent reverse transcriptase activity for use in RT-PCR. Using the 3173 PyroPhage polymerase, previously identified from hot spring metagenomic sampling, and additional thermostable orthologs as a source of natural diversity, we used gene shuffling for library generation and screened for novel variants that retain high thermostability and display elevated reverse transcriptase activity. We then created a fusion enzyme between a high-performing variant polymerase and the 5′→3′ nuclease domain of Taq DNA polymerase that provided compatibility with probe-based detection chemistries and enabled highly sensitive detection of structured RNA targets. This technology enables a flexible single-enzyme RT-PCR system that has several advantages compared with standard heat-labile reverse transcription methods.

An l-RNA Aptamer with Expanded Chemical Functionality that Inhibits MicroRNA Biogenesis.

To facilitate isolation of l-aptamers with novel RNA-binding properties, we employed a cationic nucleotide, 5-aminoallyluridine, during the mirror image in vitro selection process. Through this effort, we identified a modified l-RNA aptamer (MlRA) capable of binding oncogenic precursor microRNA 19a (pre-miR-19a) with exceptional affinity, and we showed that cationic modification is absolutely critical for binding. Furthermore, formation of the MlRA-pre-miR-19a complex inhibited Dicer-mediated cleavage of the pre-miR, thus blocking formation of the mature functional microRNA. The MlRA reported here not only represents the first l-aptamer to be evolved by using modified nucleotides but also the first modified aptamer (of any type) to be selected against a structured RNA target. Our results demonstrate that functionalized l-aptamers, which are intrinsically nuclease-resistant, provide an attractive approach for developing robust RNA-binding reagents.

RNA Secondary Structure Prediction.

In this unit, protocols are provided for predicting RNA secondary structure with the user-friendly RNAstructure desktop computer program and the RNAstructure Web server. The minimum free energy structure and a set of suboptimal structures with similar free energies are predicted. Prediction of high-affinity oligonucleotide binding sites to a structured RNA target is also presented. © 2016 by John Wiley & Sons, Inc.

Inhibition of Hepatitis C Virus in Mice by a Small Interfering RNA Targeting a Highly Conserved Sequence in Viral IRES Pseudoknot.

The hepatitis C virus (HCV) internal ribosome entry site (IRES) that directs cap-independent viral translation is a primary target for small interfering RNA (siRNA)-based HCV antiviral therapy. However, identification of potent siRNAs against HCV IRES by bioinformatics-based siRNA design is a challenging task given the complexity of HCV IRES secondary and tertiary structures and association with multiple proteins, which can also dynamically change the structure of this cis-acting RNA element. In this work, we utilized siRNA tiling approach whereby siRNAs were tiled with overlapping sequences that were shifted by one or two nucleotides over the HCV IRES stem-loop structures III and IV spanning nucleotides (nts) 277–343. Based on their antiviral activity, we mapped a druggable region (nts 313–343) where the targets of potent siRNAs were enriched. siIE22, which showed the greatest anti-HCV potency, targeted a highly conserved sequence across diverse HCV genotypes, locating within the IRES subdomain IIIf involved in pseudoknot formation. Stepwise target shifting toward the 5′ or 3′ direction by 1 or 2 nucleotides reduced the antiviral potency of siIE22, demonstrating the importance of siRNA accessibility to this highly structured and sequence-conserved region of HCV IRES for RNA interference. Nanoparticle-mediated systemic delivery of the stability-improved siIE22 derivative gs_PS1 siIE22, which contains a single phosphorothioate linkage on the guide strand, reduced the serum HCV genome titer by more than 4 log10 in a xenograft mouse model for HCV replication without generation of resistant variants. Our results provide a strategy for identifying potent siRNA species against a highly structured RNA target and offer a potential pan-HCV genotypic siRNA therapy that might be beneficial for patients resistant to current treatment regimens.

Targeting Highly Structured RNA by Cooperative Action of siRNAs and Helper Antisense Oligomers in Living Cells.

RNA target accessibility is one of the most important factors limiting the efficiency of RNA interference-mediated RNA degradation. However, targeting RNA viruses in their poorly accessible, highly structured regions can be advantageous because these regions are often conserved in sequence and thus less prone to viral escape. We developed an experimental strategy to attack highly structured RNA by means of pairs of specifically designed small interfering RNAs and helper antisense oligonucleotides using the 5’ untranslated region (5’UTR) of coxsackievirus B3 as a model target. In the first step, sites accessible to hybridization of complementary oligonucleotides were identified using two mapping methods with random libraries of short DNA oligomers. Subsequently, the accessibility of the mapped regions for hybridization of longer DNA 16-mers was confirmed by an RNase H assay. Using criteria for the design of efficient small interfering RNAs (siRNA) and a secondary structure model of the viral 5’UTR, several DNA 19-mers were designed against partly double-stranded RNA regions. Target sites for DNA 19-mers were located opposite the sites which had been confirmed as accessible for hybridization. Three pairs of DNA 19-mers and the helper 2’-O-methyl-16-mers were able to effectively induce RNase H cleavage in vitro. For cellular assays, the DNA 19-mers were replaced by siRNAs, and the corresponding three pairs of siRNA-helper oligomer tools were found to target 5’UTR efficiently in a reporter construct in HeLa cells. Addition of the helper oligomer improved silencing capacity of the respective siRNA. We assume that the described procedure will generally be useful for designing of nucleic acid-based tools to silence highly structured RNA targets.

RNA Secondary Structure Analysis Using RNAstructure.

RNAstructure is a user-friendly program for the prediction and analysis of RNA secondary structure. It is available as a Web server, as a program with a graphical user interface, or as a set of command-line tools. The programs are available for Microsoft Windows, Macintosh OS X, or Linux. This unit provides protocols for RNA secondary structure prediction (using the Web server or the graphical user interface) and prediction of high-affinity oligonucleotide biding sites to a structured RNA target (using the graphical user interface).

Arabidopsis DRB4, AGO1, AGO7, and RDR6 participate in a DCL4-initiated antiviral RNA silencing pathway negatively regulated by DCL1

Plant RNA silencing machinery enlists four primary classes of proteins to achieve sequence-specific regulation of gene expression and mount an antiviral defense. These include Dicer-like ribonucleases (DCLs), Argonaute proteins (AGOs), dsRNA-binding proteins (DRBs), and RNA-dependent RNA polymerases (RDRs). Although at least four distinct endogenous RNA silencing pathways have been thoroughly characterized, a detailed understanding of the antiviral RNA silencing pathway is just emerging. In this report, we have examined the role of four DCLs, two AGOs, one DRB, and one RDR in controlling viral RNA accumulation in infected Arabidopsis plants by using a mutant virus lacking its silencing suppressor. Our results show that all four DCLs contribute to antiviral RNA silencing. We confirm previous reports implicating both DCL4 and DCL2 in this process and establish a minor role for DCL3. Surprisingly, we found that DCL1 represses antiviral RNA silencing through negatively regulating the expression of DCL4 and DCL3. We also implicate DRB4 in antiviral RNA silencing. Finally, we show that both AGO1 and AGO7 function to ensure efficient clearance of viral RNAs and establish that AGO1 is capable of targeting viral RNAs with more compact structures, whereas AGO7 and RDR6 favor less structured RNA targets. Our results resolve several key steps in the antiviral RNA silencing pathway and provide a basis for further in-depth analysis.

RNA Secondary Structure Prediction

AbstractDetails for predicting secondary structure of RNA sequences using free energy minimization are given. Protocols present the use of the RNAstructure computer program (for PCs) and the mfold server (for Unix platforms). The minimum free energy structure and a set of suboptimal structures with similar free energies are predicted. Prediction of high‐affinity oligonucleotide binding sites to a structured RNA target is also presented.

RNA Secondary Structure Analysis Using RNAstructure

RNAstructure is a user-friendly program for the prediction and analysis of RNA secondary structure under Microsoft Windows. This unit provides protocols for RNA secondary structure prediction and prediction of high-affinity oligonucleotide binding sites to a structured RNA target.

Bimodal Loop−Loop Interactions Increase the Affinity of RNA Aptamers for HIV-1 RNA Structures

Multiple loop-loop interactions between adjacent RNA hairpins regulate gene expression in different organisms. To demonstrate that such natural interactions could be mimicked for generating RNA ligands that are able to recognize simultaneously at least two structured RNA targets, a double kissing complex model was designed. The target consisted of two HIV-1 transactivating responsive (TAR) RNA variants, BRU and MAL, connected by a non-nucleotidic linker. The double ligand was generated by combining the corresponding hairpin aptamers, R06BRU and R06MAL, identified previously by in vitro selection [Ducongé, F., and Toulmé, J. J (1999) RNA 5, 1605-1614]. The resulting interaction was analyzed by thermal denaturation monitored by UV spectroscopy, electrophoretic mobility shift assays (EMSAs), and surface plasmon resonance (SPR) experiments. The bimodal complex was characterized by a binding equilibrium constant increased by at least 1 order of magnitude compared to that of the complexes between the individual parent hairpins. This resulted from a slower dissociation rate. We then made use of such a strategy for targeting two structured functional motifs of the folded 5' untranslated region (5'UTR) of HIV-1. Two bivalent RNA ligands were designed that targeted simultaneously the TAR and dimerization initiation site (DIS) hairpins or the TAR and poly(A) ones. The results show that these ligands also displayed enhanced affinity for their target compared to the individual molecules. The work reported here suggests that bimodal structured RNA ligands might provide a way of increasing the affinity of aptamers for folded RNA targets.

Locked nucleoside analogues expand the potential of DNAzymes to cleave structured RNA targets

BackgroundDNAzymes cleave at predetermined sequences within RNA. A prerequisite for cleavage is that the DNAzyme can gain access to its target, and thus the DNAzyme must be capable of unfolding higher-order structures that are present in the RNA substrate. However, in many cases the RNA target sequence is hidden in a region that is too tightly structured to be accessed under physiological conditions by DNAzymes.ResultsWe investigated how incorporation of LNA (locked nucleic acid) monomers into DNAzymes improves their ability to gain access and cleave at highly-structured RNA targets. The binding arms of DNAzymes were varied in length and were substituted with up to three LNA and α-L-LNA monomers (forming LNAzymes). For one DNAzyme, the overall cleavage reaction proceeded fifty times faster after incorporation of two α-L-LNA monomers per binding arm (kobs increased from 0.014 min-1 to 0.78 min-1).ConclusionThe data demonstrate how hydrolytic performance can be enhanced by design of LNAzymes, and indicate that there are optimal lengths for the binding arms and for the number of modified LNA monomers.

“Parallel” and “Antiparallel Tail‐Clamps” Increase the Efficiency of Triplex Formation with Structured DNA and RNA Targets

Sequence-specific triple-helix structures can be formed by parallel and antiparallel DNA clamps interacting with single-stranded DNA or RNA targets. Single-stranded nucleic acid molecules are known to adopt secondary structures that might interfere with intermolecular interactions. We demonstrate the correlation between a secondary structure involving the target--a stable stem predicted by in silico folding and experimentally confirmed by thermal stability and competition analyses--and an inhibitory effect on triplex formation. We overcame structural impediments by designing a new type of clamp: "tail-clamps". A combination of gel-shift, kinetic analysis, UV thermal melting and thermodynamic techniques was used to demonstrate that tail-clamps efficiently form triple helices with a structured target sequence. The performance of parallel and antiparallel tail-clamps was compared: antiparallel tail-clamps had higher binding efficiencies than parallel tail-clamps both with structured DNA and RNA targets. In addition, the reported triplex-stabilizing property of 8-aminopurine residues was confirmed for tail-clamps. Finally, we discuss the possible use of this improved triplex technology as a new tool for applications in molecular biology.

SAR by MS: a ligand based technique for drug lead discovery against structured RNA targets.

A technique for lead discovery vs RNA targets utilizing mass spectrometry (MS) screening methods is described. The structure-activity relationships (SAR) derived from assaying weak binding motifs allows the pharmacophores discovered to be elaborated via "SAR by MS" to higher affinity ligands. Application of this strategy to a subdomain of the 23S rRNA afforded a new class of compounds with functional activity.

Prediction of antisense oligonucleotide binding affinity to a structured RNA target

Antisense oligonucleotides, which act through the pairing of complementary bases to an RNA target sequence, are showing great promise in research and clinical applications. However, the selection of effective antisense oligonucleotides has proven more difficult than initially presumed. We developed a prediction algorithm to identify those sequences with the highest predicted binding affinity for their target mRNA based on a thermodynamic cycle that accounts for the energetics of structural alterations in both the target mRNA and the oligonucleotide. The model was used to predict the binding affinity of antisense oligonucleotides complementary to the rabbit beta-globin (RBG) and mouse tumor necrosis factor-alpha (TNFalpha) mRNAs, for which large experimental datasets were available. Of the top ten candidates identified by the algorithm for the RBG mRNA, six were the most strongly binding sequences determined from an experimental assay. The prediction for the TNFalpha mRNA also identified high affinity sequences with approximately 60% accuracy. Computational prediction of antisense efficacy is more cost-efficient and faster than in vitro or in vivo selection and can potentially speed the development of sequences for both research and clinical applications.