Anchoring hairpin ribozymes to long target RNAs by loop-loop RNA interactions

Efficient ribozyme-mediated gene silencing requires the effective binding of a ribozyme to its specific target sequence. Stable stem-loop domains are key elements for efficiency of natural antisense RNAs. This work tests the possibility of using such naturally existing structural motifs for anchoring hairpin ribozymes when targeting long RNAs. Assays were performed with four catalytic antisense RNAs, based on the hairpin ribozyme (HP), that carried a stable stem-loop motif at their 3' end. Extensions consisted of one of the following motifs: the stem-loop II of the natural antisense RNA-CopA, its natural target in CopT, the TAR-RNA motif, or its complementary sequence alphaTAR. Interestingly, the presence of any of these antisense motifs resulted in an enhancement of catalytic performance against the ribozyme's 14-nucleotide-long target RNA (Swt). A series of artificial, long RNA substrates containing the Swt sequence and the natural TAR-RNA stem-loop were constructed and challenged with a catalytic antisense RNA carrying the TAR-complementary stem-loop. This cleaves each of these substrates significantly more efficiently than HP. The deletion of the TAR domain in the substrate, or its substitution by its complementary counterpart alphaTAR, abolishes the positive effect. These results suggest that the enhancement is owed to the interaction of both complementary stem-loop domains. Moreover, they demonstrate that the TAR domain can be used as an anchoring site to facilitate the access of hairpin ribozymes to their specific target sequences within TAR-containing RNAs.     

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.     

The effect of long-range loop-loop interactions on folding of the Tetrahymena self-splicing RNA

Bas?e-pairing between the terminal loops of helices P2.1 and P9.1a (P13) and P2 and P5c (P14) stabilize the folded structure of the Tetrahymena group I intron. Using native gel electrophoresis to analyze the folding kinetics of a natural pre-RNA containing the Tetrahymena intron, we show that P13 and P14 are the only native loop-loop interactions among six possible combinations. Other base-pairing interactions of the loop sequences stabilize misfolded and inactive pre-RNAs. Mismatches in P13 or P14 raised the midpoints and decreased the cooperativity of the Mg(2+)-dependent eqXuilibrium folding transitions. Although some mutations in P13 resulted in slightly higher folding rates, others led to slower folding compared to the wild-type, suggesting that P13 promotes formation of P3 and P7. In contrast, mismatches in P14 increased the rate of folding, suggesting that base-pairing between P5c and P2 stabilizes intermediates in which the catalytic core is misfolded. Although the peripheral helices stabilize the native structure of the catalytic core, our results show that formation of long-range interactions, and competition between correct and incorrect loop-loop base-pairs, decrease the rate at which the active pre-RNA structure is assembled.     

Recurrent RNA motifs as probes for studying RNA-protein interactions in the ribosome

To understand how the nucleotide sequence of ribosomal RNA determines its tertiary structure, we developed a new approach for identification of those features of rRNA sequence that are responsible for formation of different short- and long-range interactions. The approach is based on the co-analysis of several examples of a particular recurrent RNA motif. For different cases of the motif, we design combinatorial gene libraries in which equivalent nucleotide positions are randomized. Through in vivo expression of the designed libraries we select those variants that provide for functional ribosomes. Then, analysis of the nucleotide sequences of the selected clones would allow us to determine the sequence constraints imposed on each case of the motif. The constraints shared by all cases are interpreted as providing for the integrity of the motif, while those ones specific for individual cases would enable the motif to fit into the particular structural context. Here we demonstrate the validity of this approach for three examples of the so-called along-groove packing motif found in different parts of ribosomal RNA.     

Stabilities of HIV-1 DIS type RNA loop-loop interactions in vitro and in vivo

RNA loop–loop interactions are a prevalent motif in the formation of tertiary structure and are well suited to trigger molecular recognition between RNA molecules. We determined the stabilities of several loop–loop interactions with a constant 6 bp core sequence and varying unpaired flanking nucleotides and found that the flanking bases have a strong influence on the stability and ion dependence of the kissing complex. In general, the stabilities determined in 1 M Na⁺ are equivalent to those in the presence of near physiological Mg²⁺ concentrations. Therefore we further tested whether the stabilities determined in vitro and within yeast cells correlate, using a recently developed yeast RNA-hybrid system. For the majority of the loop types analyzed here, the melting temperatures determined in vitro are in good agreement with the relative β-galactosidase activity in yeast cells, showing that data derived from in vitro measurements reflect in vivo properties. The most stable interactions are the naturally occurring HIV-1 DIS MAL and LAI derived loops with the motif (5′ A^A/_GN₆A 3′), emphasizing the crucial role of stable kissing complexes in HIV genome dimerization.     

Interactions of cations with RNA loop-loop complexes

RNA loop-loop interactions are essential in many biological processes, including initiation of RNA folding into complex tertiary shapes, promotion of dimerization, and viral replication. In this article, we examine interactions of metal ions with five RNA loop-loop complexes of unique biological significance using explicit-solvent molecular-dynamics simulations. These simulations revealed the presence of solvent-accessible tunnels through the major groove of loop-loop interactions that attract and retain cations. Ion dynamics inside these loop-loop complexes were distinctly different from the dynamics of the counterion cloud surrounding RNA and depend on the number of basepairs between loops, purine sequence symmetry, and presence of unpaired nucleotides. The cationic uptake by kissing loops depends on the number of basepairs between loops. It is interesting that loop-loop complexes with similar functionality showed similarities in cation dynamics despite differences in sequence and loop size.     

RNA bulges as architectural and recognition motifs

RNA bulges constitute versatile structural motifs in the assembly of RNA architectures. Three-dimensional structures of RNA molecules and their complexes reveal the role of bulges in RNA architectures and illustrate the molecular mechanisms by which they confer intramolecular interactions and intermolecular recognition.     

Predicting candidate genomic sequences that correspond to synthetic functional RNA motifs

Riboswitches and RNA interference are important emerging mechanisms found in many organisms to control gene expression. To enhance our understanding of such RNA roles, finding small regulatory motifs in genomes presents a challenge on a wide scale. Many simple functional RNA motifs have been found by in vitro selection experiments, which produce synthetic target-binding aptamers as well as catalytic RNAs, including the hammerhead ribozyme. Motivated by the prediction of Piganeau and Schroeder [(2003) Chem. Biol., 10, 103–104] that synthetic RNAs may have natural counterparts, we develop and apply an efficient computational protocol for identifying aptamer-like motifs in genomes. We define motifs from the sequence and structural information of synthetic aptamers, search for sequences in genomes that will produce motif matches, and then evaluate the structural stability and statistical significance of the potential hits. Our application to aptamers for streptomycin, chloramphenicol, neomycin B and ATP identifies 37 candidate sequences (in coding and non-coding regions) that fold to the target aptamer structures in bacterial and archaeal genomes. Further energetic screening reveals that several candidates exhibit energetic properties and sequence conservation patterns that are characteristic of functional motifs. Besides providing candidates for experimental testing, our computational protocol offers an avenue for expanding natural RNA's functional repertoire.     

Analysis of RNA motifs

RNA motifs are directed and ordered stacked arrays of non-Watson-Crick base pairs forming distinctive foldings of the phosphodiester backbones of the interacting RNA strands. They correspond to the 'loops' - hairpin, internal and junction - that intersperse the Watson-Crick two-dimensional helices as seen in two-dimensional representations of RNA structure. RNA motifs mediate the specific interactions that induce the compact folding of complex RNAs. RNA motifs also constitute specific protein or ligand binding sites. A given motif is characterized by all the sequences that fold into essentially identical three-dimensional structures with the same ordered array of isosteric non-Watson-Crick base pairs. It is therefore crucial, when analyzing a three-dimensional RNA structure in order to identify and compare motifs, to first classify its non-Watson-Crick base pairs geometrically.     

Counting motifs in dynamic networks

Background

A network motif is a sub-network that occurs frequently in a given network. Detection of such motifs is important since they uncover functions and local properties of the given biological network. Finding motifs is however a computationally challenging task as it requires solving the costly subgraph isomorphism problem. Moreover, the topology of biological networks change over time. These changing networks are called dynamic biological networks. As the network evolves, frequency of each motif in the network also changes. Computing the frequency of a given motif from scratch in a dynamic network as the network topology evolves is infeasible, particularly for large and fast evolving networks.

Results

In this article, we design and develop a scalable method for counting the number of motifs in a dynamic biological network. Our method incrementally updates the frequency of each motif as the underlying network’s topology evolves. Our experiments demonstrate that our method can update the frequency of each motif in orders of magnitude faster than counting the motif embeddings every time the network changes. If the network evolves more frequently, the margin with which our method outperforms the existing static methods, increases.

Conclusions

We evaluated our method extensively using synthetic and real datasets, and show that our method is highly accurate(≥?96%) and that it can be scaled to large dense networks. The results on real data demonstrate the utility of our method in revealing interesting insights on the evolution of biological processes.

     

Local sequence-structure motifs in RNA

Ribonuclic acid (RNA) enjoys increasing interest in molecular biology; despite this interest fundamental algorithms are lacking, e.g. for identifying local motifs. As proteins, RNA molecules have a distinctive structure. Therefore, in addition to sequence information, structure plays an important part in assessing the similarity of RNAs. Furthermore, common sequence-structure features in two or several RNA molecules are often only spatially local, where possibly large parts of the molecules are dissimilar. Consequently, we address the problem of comparing RNA molecules by computing an optimal local alignment with respect to sequence and structure information. While local alignment is superior to global alignment for identifying local similarities, no general local sequence-structure alignment algorithms are currently known. We suggest a new general definition of locality for sequence-structure alignments that is biologically motivated and efficiently tractable. To show the former, we discuss locality of RNA and prove that the defined locality means connectivity by atomic and non-atomic bonds. To show the latter, we present an efficient algorithm for the newly defined pairwise local sequence-structure alignment (lssa) problem for RNA. For molecules of lengthes n and m, the algorithm has worst-case time complexity of O(n2 x m2 x max(n,m)) and a space complexity of only O(n x m). An implementation of our algorithm is available at http://www.bio.inf.uni-jena.de. Its runtime is competitive with global sequence-structure alignment.     

The annotation of RNA motifs

The recent deluge of new RNA structures, including complete atomic-resolution views of both subunits of the ribosome, has on the one hand literally overwhelmed our individual abilities to comprehend the diversity of RNA structure, and on the other hand presented us with new opportunities for comprehensive use of RNA sequences for comparative genetic, evolutionary and phylogenetic studies. Two concepts are key to understanding RNA structure: hierarchical organization of global structure and isostericity of local interactions. Global structure changes extremely slowly, as it relies on conserved long-range tertiary interactions. Tertiary RNA-RNA and quaternary RNA-protein interactions are mediated by RNA motifs, defined as recurrent and ordered arrays of non-Watson-Crick base-pairs. A single RNA motif comprises a family of sequences, all of which can fold into the same three-dimensional structure and can mediate the same interaction(s). The chemistry and geometry of base pairing constrain the evolution of motifs in such a way that random mutations that occur within motifs are accepted or rejected insofar as they can mediate a similar ordered array of interactions. The steps involved in the analysis and annotation of RNA motifs in 3D structures are: (a) decomposition of each motif into non-Watson-Crick base-pairs; (b) geometric classification of each basepair; (c) identification of isosteric substitutions for each basepair by comparison to isostericity matrices; (d) alignment of homologous sequences using the isostericity matrices to identify corresponding positions in the crystal structure; (e) acceptance or rejection of the null hypothesis that the motif is conserved.     

Synthetic biology with RNA motifs

Structural motifs in naturally occurring RNAs and RNPs can be employed as new molecular parts for synthetic biology to facilitate the development of novel devices and systems that modulate cellular functions. In this review, we focus on the following: (i) experimental evolution techniques of RNA molecules in vitro and (ii) their applications for regulating gene expression systems in vivo. For experimental evolution, new artificial RNA aptamers and RNA enzymes (ribozymes) have been selected in vitro. These functional RNA molecules are likely to be applicable in the reprogramming of existing gene regulatory systems. Furthermore, they may be used for designing hypothetical RNA-based living systems in the so-called RNA world. For the regulation of gene expressions in living cells, the development of new riboswitches allows us to modulate the target gene expression in a tailor-made manner. Moreover, recently RNA-based synthetic genetic circuits have been reported by employing functional RNA molecules, expanding the repertory of synthetic biology with RNA motifs.     

Evidence for functional protein interactions required for poliovirus RNA replication

Poliovirus protein 2C contains a predicted N-terminal amphipathic helix that mediates association of the protein with the membranes of the viral RNA replication complex. A chimeric virus that contains sequences encoding the 18-residue core from the orthologous amphipathic helix from human rhinovirus type 14 (HRV14) was constructed. The chimeric virus exhibited defects in viral RNA replication and produced minute plaques on HeLa cell monolayers. Large plaque variants that contained mutations within the 2C-encoding region were generated upon subsequent passage. However, the majority of viruses that emerged with improved growth properties contained no changes in the region encoding 2C. Sequence analysis and reconstruction of genomes with individual mutations revealed changes in 3A or 2B sequences that compensated for the HRV14 amphipathic helix in the polio 2C-containing proteins, implying functional interactions among these proteins during the replication process. Direct binding between these viral proteins was confirmed by mammalian cell two-hybrid analysis.     

Composite RNA aptamers as functional mimics of proteins

Individual RNA aptamers are often used to modulate the function of their target proteins, and multi-valent aptamers have been constructed to enhance their activity. To expand the utility of aptamers in manipulating and controlling biological processes, here we advance a general method for the design and construction of composite aptamers. The resulting molecular constructs resemble proteins in that they can form specific interactions with three or more different partners and be readily integrated into existing protein regulatory networks. As the first embodiment of this method, we created a tetra-valent aptamer that simultaneously binds to two molecules of the Drosophila protein B52 and two copies of streptavidin, thus mimicking the function of an antibody in immunochemical assays. We demonstrated that the performance of this ‘aptabody’ rivals that of a monoclonal antibody against B52 in these assays. While this study was performed in vitro and the composite aptamer we made was intended to mimic an existing protein, the same method can be used to accommodate arbitrary combinations of individual aptamers in composite molecular contexts, and these constructs can be delivered into living cells, where they are able to utilize existing cellular infrastructure for their production and processing.     

Beyond Mg2+: functional interactions between RNA and transition metals

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