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RNA structure.

New information concerning RNA structure is accumulating at an ever increasing rate-from short helices with mismatched bases of 5S rRNA and complex RNA aptamers. The importance of recurring structural motifs, ion binding, and the kinetics and energetics of folding in RNA structure and function is now being recognized and addressed.

Animals↗

RNA structure at high resolution.

Studies of RNA structural motifs at high resolution by NMR and X-ray crystallographic methods have provided many insights into the fundamental forces that give rise to the unique structural characteristics of RNA. Non-Watson-Crick purine-pyrimidine, purine-purine, and pyrimidine-pyrimidine base pairing, as well as base-phosphate and base-ribose hydrogen bonding, are important forces for folding and stabilizing RNA structures. Base stacking is as important in determining RNA conformations as hydrogen bonding interactions. With the noncanonical interactions, many single-stranded loop regions such as hairpin loops, bulge loops, and internal loops fold into well-defined secondary structures. Loop-loop and loop-helix interactions can produce tertiary structures such as pseudoknots. Also, single strands adjacent to helical regions can form tertiary contacts with base-paired nucleotides of the helices. As we learn more about the structures of the important motifs we can ask more specific questions about the mechanisms of RNA-mediated functions. Conformational flexibility rather than a specific shape of the RNA may be important for some biological reactions. However, knowledge of the structures and the ease of conformational change of the molecules involved in any process are essential for understanding and eventually controlling the process.

Base Sequence↗

Predicting RNA structures: the model of the RNA element binding Rev meets the NMR structure.

BACKGROUND: How accurate are the predictions of RNA three-dimensional structures? Assessing this accuracy requires the detailed comparison of the prediction with the experimentally determined structure. Previously, sequence variation in RNA aptamers that bind the Rev protein was used to infer a three-dimensional model of the Rev-binding element (RBE) RNA. Although much of this model has been substantiated by subsequent experimental data, its validity remains to be determined by confronting it with the structure determined by NMR spectroscopy. RESULTS: A series of different criteria such as geometric parameters (root mean square deviation, interproton distances, torsions and puckering), helicoidal parameters (base pairing and base stacking) and stability considerations (conformational energies) have been evaluated to identify common and distinguishing structural characteristics of the model and the NMR structure. CONCLUSIONS: The detailed comparison of the two structures reveals striking structural similarities at both the global and local level that validate the RNA modeling approach that we have used. Analysis of the structural differences and the precision of the model suggest that the limitations of the method are related to the amount of structural information available for modeling.

Binding Sites↗

RNAPack: an integrated NMR approach to RNA structure determination.

Over the last decade, a vast number of useful nuclear magnetic resonance (NMR) experiments have been developed and successfully employed to determine the structure and dynamics of RNA oligonucleotides. Despite this progress, high-resolution RNA structure determination by NMR spectroscopy still remains a lengthy process and requires programming and extensive calibrations to perform NMR experiments successfully. To accelerate RNA structure determination by NMR spectroscopy, we have designed and programmed a package of RNA NMR experiments, called RNAPack. The user-friendly package contains a set of semiautomated single, double, and triple resonance NMR experiments, which are fully optimized for high-resolution RNA solution structure determination on Varian NMR spectrometers. RNAPack provides an autocalibration feature that allows rapid calibration of all NMR experiments in a single step and thereby speeds up the NMR data collection and eliminates user errors. In our laboratory, we have successfully employed this technology to solve RNA solution structures of domains of the internal ribosome entry site of the genomic hepatitis C viral RNA in less than 3 months. RNAPack therefore makes NMR spectroscopy an attractive and rapid structural tool and allows integration of atomic resolution structural information into biochemical studies of large RNA systems.

Automation↗

RNA structure: the long and the short of it.

The database of RNA structure has grown tremendously since the crystal structure analyses of ribosomal subunits in 2000-2001. During the past year, the trend toward determining the structure of large, complex biological RNAs has accelerated, with the analysis of three intact group I introns, A- and B-type ribonuclease P RNAs, a riboswitch-substrate complex and other structures. The growing database of RNA structures, coupled with efforts directed at the standardization of nomenclature and classification of motifs, has resulted in the identification and characterization of numerous RNA secondary and tertiary structure motifs. Because a large proportion of RNA structure can now be shown to be composed of these recurring structural motifs, a view of RNA as a modular structure built from a combination of these building blocks and tertiary linkers is beginning to emerge. At the same time, however, more detailed analysis of water, metal, ligand and protein binding to RNA is revealing the effect of these moieties on folding and structure formation. The balance between the views of RNA structure either as strictly a construct of preformed building blocks linked in a limited number of ways or as a flexible polymer assuming a global fold influenced by its environment will be the focus of current and future RNA structural biology.

Binding Sites↗

New insight into RNase P RNA structure from comparative analysis of the archaeal RNA.

A detailed comparative analysis of archaeal RNase P RNA structure and a comparison of the resulting structural information with that of the bacterial RNA reveals that the archaeal RNase P RNAs are strikingly similar to those of Bacteria. The differences between the secondary structure models of archaeal and bacterial RNase P RNA have largely disappeared, and even variation in the sequence and structure of the RNAs are similar in extent and type. The structure of the cruciform (P7-11) has been reevaluated on the basis of a total of 321 bacterial and archaeal sequences, leading to a model for the structure of this region of the RNA that includes an extension to P11 that consistently organizes the cruciform and adjacent highly-conserved sequences.

Base Sequence↗

Transcriptional pausing at +62 of the HIV-1 nascent RNA modulates formation of the TAR RNA structure.

A strong transcriptional pause delays human RNA polymerase II three nt after the last potentially paired base in HIV-1 TAR, the RNA structure that binds the transactivator protein Tat. We report here that the HIV-1 pause depends in part on an alternative RNA structure (the HIV-1 pause hairpin) that competes with formation of TAR. By probing the nascent RNA structure in halted transcription complexes, we found that the transcript folds as the pause hairpin before and at the pause, and rearranges to TAR concurrent with or just after escape from the pause. The pause signal triggers a 2 nt reverse translocation by RNA polymerase that may block the active site and be counteracted by formation of TAR. Thus, the HIV-1 pause site modulates nascent RNA rearrangement from a structure that favors pausing to one that both recruits Tat and promotes escape from the pause.

Base Sequence↗

STRUCTURELAB: a heterogeneous bioinformatics system for RNA structure analysis.

STRUCTURELAB is a computational system that has been developed to permit the use of a broad array of approaches for the analysis of the structure of RNA. The goal of the development is to provide a large set of tools that can be well integrated with experimental biology to aid in the process of the determination of the underlying structure of RNA sequences. The approach taken views the structure determination problem as one of dealing with a database of many computationally generated structures and provides the capability to analyze this data set from different perspectives. Many algorithms are integrated into one system that also utilizes a heterogeneous computing approach permitting the use of several computer architectures to help solve the posed problems. These different computational platforms make it relatively easy to incorporate currently existing programs as well as newly developed algorithms and to best match these algorithms to the appropriate hardware. The system has been written in Common Lisp running on SUN or SGI Unix workstations, and it utilizes a network of participating machines defined in reconfigurable tables. A window-based interface makes this heterogeneous environment as transparent to the user as possible.

Algorithms↗

Non-Watson Crick base pairs might stabilize RNA structural motifs in ribozymes -- a comparative study of group-I intron structures.

In recent decades studies on RNA structure and function have gained significance due to discoveries on diversified functions of RNA. A common element for RNA secondary structure formed by series of non- Watson/Watson Crick base pairs, internal loops and pseudoknots have been the highlighting feature of recent structural determination of RNAs. The recent crystal structure of group-I introns has demonstrated that these might constitute RNA structural motifs in ribozymes, playing a crucial role in their enzymatic activity. To understand the functional significance of these non-canonical base pairs in catalytic RNA, we analysed the sequences of group-I introns from nuclear genes. The results suggest that they might form the building blocks of folded RNA motifs which are crucial to the catalytic activity of the ribozyme. The conservation of these, as observed from divergent organisms, argues for the presence of non-canonical base pairs as an important requisite for the structure and enzymatic property of ribozymes by enabling them to carry out functions such as replication, polymerase activity etc. in primordial conditions in the absence of proteins.

Animals↗

RNA structural motifs: building blocks of a modular biomolecule.

RNAs are modular biomolecules, composed largely of conserved structural subunits, or motifs. These structural motifs comprise the secondary structure of RNA and are knit together via tertiary interactions into a compact, functional, three-dimensional structure and are to be distinguished from motifs defined by sequence or function. A relatively small number of structural motifs are found repeatedly in RNA hairpin and internal loops, and are observed to be composed of a limited number of common 'structural elements'. In addition to secondary and tertiary structure motifs, there are functional motifs specific for certain biological roles and binding motifs that serve to complex metals or other ligands. Research is continuing into the identification and classification of RNA structural motifs and is being initiated to predict motifs from sequence, to trace their phylogenetic relationships and to use them as building blocks in RNA engineering.

Base Sequence↗

Probing complex RNA structures by mechanical force.

RNA secondary structures of increasing complexity are probed combining single molecule stretching experiments and stochastic unfolding/refolding simulations. We find that force-induced unfolding pathways cannot usually be interpreted by solely invoking successive openings of native helices. Indeed, typical force-extension responses of complex RNA molecules are largely shaped by stretching-induced, long-lived intermediates including non-native helices. This is first shown for a set of generic structural motifs found in larger RNA structures, and then for Escherichia coli's 1540-base long 16S ribosomal RNA, which exhibits a surprisingly well-structured and reproducible unfolding pathway under mechanical stretching. Using out-of-equilibrium stochastic simulations, we demonstrate that these experimental results reflect the slow relaxation of RNA structural rearrangements. Hence, micromanipulations of single RNA molecules probe both their native structures and long-lived intermediates, so-called "kinetic traps", thereby capturing -at the single molecular level- the hallmark of RNA folding/unfolding dynamics.

Computer Simulation↗

Efficient association of U2 snRNPs with pre-mRNA requires an essential U2 RNA structural element.

To understand the role of U2 RNA structure in pre-mRNA splicing we have characterized several cold-sensitive mutations in an essential stem-loop of yeast U2. Although mutant U2 is stable in vivo after a shift to restrictive temperature, splicing is rapidly inhibited, suggesting a direct effect on U2 function rather than U2 synthesis or snRNP assembly. Splicing complexes form at 23 degrees C in both mutant and wild-type extracts; however, stable association of mutant U2 snRNPs with pre-mRNA in vitro is inefficient at 15 degrees C, a temperature permissive for spliceosome assembly in wild-type extracts, indicating that the cold-sensitive defect is in U2 snRNP association with the assembling spliceosome. In vivo RNA structure probing reveals that the bulk of U2 RNA is misfolded in the mutants, even at permissive temperature. We propose that U2 stem-loop IIa is recognized by an assembly factor that assists U2 snRNP binding to pre-mRNA and that the cold sensitivity is due to a critical deficiency of correctly folded U2 for spliceosome assembly at low temperatures. Evolutionary conservation of the potential to form an interfering alternative RNA structure suggests the possibility that splicing could be regulated negatively at an early step by control of U2 snRNA conformation.

Base Sequence↗

High-throughput method for the prediction of low-resolution, three-dimensional RNA structures.

Our aim is the high-throughput prediction of three-dimensional RNA structures at low resolution to answer questions posed by the RNA molecular biology. The strategy presented here is based on a computer program, called 3D-RNApredict, which implements and converts various structural data (RNA secondary structure, RNA motifs coordinates, experimental data) to create the input to the CYANA program (torsion-angle dynamics algorithm, TAD) which provides a fast engine for the 3D RNA structure calculation. The resultant RNA structure is refined using the X-PLOR program. The approach is amenable to automatization. Current predictions involve HIV-2 leader RNA domains and the sets of bacterial ncRNA.

Nucleic Acid Conformation↗

The 3'-terminal region of bacterial 23S ribosomal RNA: structure and homology with the 3'-terminal region of eukaryotic 28S rRNA and with chloroplast 4.5s rRNA.

The sequence of the 110 nucleotide fragment located at the 3'-end of E.coli, P.vulgaris and A.punctata 23S rRNAs has been determined. The homology between the E.coli and P.vulgaris fragments is 90%, whereas that between the E.coli and A.punctate fragments is only 60%. The three rRNA fragments have sequences compatible with a secondary structure consisting of two hairpins. Using chemical and enzymatic methods recently developed for the study of the secondary structure of RNA, we demonstrated that one of these hairpins and part of the other are actually present in the three 3'-terminal fragments in solution. This supports the existence of these two hairpins in the intact molecule. Indeed, results obtained upon limited digestion of intact 23S RNA with T1 RNase were in good agreement with the existence of these two hairpins. We observed that the primary structures of the 3'-terminal regions of yeast 26S rRNA and X.laevis 28S rRNA are both compatible with a secondary structure similar to that found at the 3'-end of bacterial 23S rRNAs. Furthermore, both tobacco and wheat chloroplast 4.5S rRNAs can also be folded in a similar way as the 3'-terminal region of bacterial 23S rRNA, the 3'-end of chloroplast 4.5S rRNAs being complementary to the 5'-end of chloroplast 23S rRNA. This strongly reinforces the hypothesis that chloroplast 4.5S rRNA originates from the 3'-end of bacterial 23S rRNA and suggests that this rRNA may be base-paired with the 5'-end of chloroplast 23S rRNA. Invariant oligonucleotides are present at identical positions in the homologous secondary structures of E.coli 23S, yeast 26S, X.laevis 28S and wheat and tobacco 4.5S rRNAs. Surprisingly, the sequences of these oligonucleotides are not all conserved in the 3'-terminal regions of A.punctata or even P.vulgaris 23S rRNAs. Results obtained upon mild methylation of E.coli 50S subunits with dimethylsulfate strongly suggest that these invariant oligonucleotides are involved in RNA tertiary structure or in RNA-protein interactions.

Animals↗

Role of RNA structure in arginine recognition of TAR RNA.

The human immunodeficiency virus Tat protein binds specifically to an RNA stem-loop structure (TAR) that contains two helical stem regions separated by a three-nucleotide bulge. A single arginine within the basic region of Tat mediates specific binding to TAR, and arginine as the free amino acid also binds specifically to TAR. We have previously proposed a model in which interaction of the arginine guanidinium group with guanosine-26 (G26) and with a pair of phosphates is stabilized by formation of a base triple between U23 in the bulge and A27.U38 in the upper helix. Here we show by NMR spectroscopy that formation of the base triple is critical for arginine binding to TAR. Mutants of TAR that cannot form the base triple or that remove the guanine contact do not bind arginine specifically. These mutants also showed reduced transactivation by Tat. A triple mutant designed to form an isomorphous base triple between C23 and G27.C38 binds arginine and adopts the same conformation as wild-type TAR. These results demonstrate the importance of RNA structure for arginine binding and further demonstrate the direct correspondence between arginine and Tat binding.

Arginine↗

[A theoretical analysis of structural restructuring during formation of secondary RNA structures].

An improved method for predicting the RNA secondary structure is proposed. The process of self-organization of structure is considered as a Markov chain. The kinetic of secondary structure is analysed by the Monte-Carlo method. The topological compatibility of helices is discussed. On the base of analysis it follows that the dynamical process of secondary structure formation is so that it is impossible to define a static set of complementary pairs. The method was used for predicting the mRNA secondary structure of a series of recombinant plasmids, containing the cro gene. The observed variation in expression can be explained by secondary structure.

Computer Simulation↗

The influence of antisense oligonucleotide-induced RNA structure on Escherichia coli RNase H1 activity.

The ability of Escherichia coli RNase H1 to hydrolyze structured substrates containing antisense oligonucleotides preannealed to a 47-mer RNA was compared with its ability to hydrolyze unstructured substrates containing antisense oligonucleotides duplexed with 13-mer RNA. These results demonstrate that when antisense oligonucleotides were bound to structured RNA, the resultant duplexes were cleaved at rates significantly slower than when the same oligonucleotides were bound to unstructured oligoribonucleotides. Structured substrates exhibited fewer cleavage sites, and each cleavage site was cleaved less rapidly than in unstructured substrates. Furthermore, the enzymatic activity of E. coli RNase H1 for the structured substrates was most affected when the cleavage sites corresponding to the enzymatically most active sites on the unstructured substrates were blocked in the structured substrates. Molecular modeling suggests that the observed ablation of RNase H activity was due to the steric hindrance of the enzyme by the structured RNA, i.e. steric interference of the phosphate groups on the substrate and/or the binding site of the enzyme. When chimeric oligonucleotides composed of a five-base deoxynucleotide sequence flanked by chemically modified nucleotides were bound to structured RNA, the resultant duplexes were even worse substrates for RNase H. These results offer further insights into the role of antisense-induced RNA structure on RNase H activity and may facilitate the design of effective antisense oligonucleotides.

Base Sequence↗

Electron paramagnetic resonance dynamic signatures of TAR RNA-small molecule complexes provide insight into RNA structure and recognition.

Electron paramagnetic resonance (EPR) spectroscopy was utilized to investigate the correlation between RNA structure and RNA internal dynamics in complexes of HIV-1 TAR RNA with small molecules. TAR RNAs containing single nitroxide spin-labels in the 2'-position of U23, U25, U38, or U40 were incubated with compounds known to inhibit TAR-Tat complex formation. The combined changes in nucleotide mobility at all four sites, as monitored by their EPR spectral width, yield a dynamic signature for each compound. The multicyclic dyes Hoechst 33258, DAPI, and berenil bind to TAR RNA in a similar manner and gave nearly identical signatures. Different signatures were obtained for the acridine derivative CGP 40336A and the aminoglycoside antibiotic neomycin, which bind to different regions of the RNA. The dynamic signature for guanidinoneomycin was remarkably similar to that obtained for argininamide and is evidence for guanidinoneomycin binding to the same site as arginine 52 of the Tat protein, rather than to the neomycin binding site. The data presented here show that the dynamic signatures provide strong insights into RNA structure and recognition and demonstrate the value of EPR spectroscopy for the investigation of small molecule binding to RNA.

Acridines↗