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Littérature scientifique sur le sujet « Functional RNA, Non-Coding RNA, RNA Secondary Structure Prediction, Conserved RNA Structures »
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Articles de revues sur le sujet "Functional RNA, Non-Coding RNA, RNA Secondary Structure Prediction, Conserved RNA Structures"
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Kiening, Ochsenreiter, Hellinger, Rattei, Hofacker et Frishman. « Conserved Secondary Structures in Viral mRNAs ». Viruses 11, no 5 (29 avril 2019) : 401. http://dx.doi.org/10.3390/v11050401.
Texte intégralRésumé :
RNA secondary structure in untranslated and protein coding regions has been shown to play an important role in regulatory processes and the viral replication cycle. While structures in non-coding regions have been investigated extensively, a thorough overview of the structural repertoire of protein coding mRNAs, especially for viruses, is lacking. Secondary structure prediction of large molecules, such as long mRNAs remains a challenging task, as the contingent of structures a sequence can theoretically fold into grows exponentially with sequence length. We applied a structure prediction pipeline to Viral Orthologous Groups that first identifies the local boundaries of potentially structured regions and subsequently predicts their functional importance. Using this procedure, the orthologous groups were split into structurally homogenous subgroups, which we call subVOGs. This is the first compilation of potentially functional conserved RNA structures in viral coding regions, covering the complete RefSeq viral database. We were able to recover structural elements from previous studies and discovered a variety of novel structured regions. The subVOGs are available through our web resource RNASIV (RNA structure in viruses; http://rnasiv.bio.wzw.tum.de).
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Diviney, Sinéad, Andrew Tuplin, Madeleine Struthers, Victoria Armstrong, Richard M. Elliott, Peter Simmonds et David J. Evans. « A Hepatitis C Virus cis-Acting Replication Element Forms a Long-Range RNA-RNA Interaction with Upstream RNA Sequences in NS5B ». Journal of Virology 82, no 18 (9 juillet 2008) : 9008–22. http://dx.doi.org/10.1128/jvi.02326-07.
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ABSTRACT The genome of hepatitis C virus (HCV) contains cis-acting replication elements (CREs) comprised of RNA stem-loop structures located in both the 5′ and 3′ noncoding regions (5′ and 3′ NCRs) and in the NS5B coding sequence. Through the application of several algorithmically independent bioinformatic methods to detect phylogenetically conserved, thermodynamically favored RNA secondary structures, we demonstrate a long-range interaction between sequences in the previously described CRE (5BSL3.2, now SL9266) with a previously predicted unpaired sequence located 3′ to SL9033, approximately 200 nucleotides upstream. Extensive reverse genetic analysis both supports this prediction and demonstrates a functional requirement in genome replication. By mutagenesis of the Con-1 replicon, we show that disruption of this alternative pairing inhibited replication, a phenotype that could be restored to wild-type levels through the introduction of compensating mutations in the upstream region. Substitution of the CRE with the analogous region of different genotypes of HCV produced replicons with phenotypes consistent with the hypothesis that both local and long-range interactions are critical for a fundamental aspect of genome replication. This report further extends the known interactions of the SL9266 CRE, which has also been shown to form a “kissing loop” interaction with the 3′ NCR (P. Friebe, J. Boudet, J. P. Simorre, and R. Bartenschlager, J. Virol. 79:380-392, 2005), and suggests that cooperative long-range binding with both 5′ and 3′ sequences stabilizes the CRE at the core of a complex pseudoknot. Alternatively, if the long-range interactions were mutually exclusive, the SL9266 CRE may function as a molecular switch controlling a critical aspect of HCV genome replication.
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Tuplin, A., D. J. Evans et P. Simmonds. « Detailed mapping of RNA secondary structures in core and NS5B-encoding region sequences of hepatitis C virus by RNase cleavage and novel bioinformatic prediction methods ». Journal of General Virology 85, no 10 (1 octobre 2004) : 3037–47. http://dx.doi.org/10.1099/vir.0.80141-0.
Texte intégralRésumé :
There is accumulating evidence from bioinformatic studies that hepatitis C virus (HCV) possesses extensive RNA secondary structure in the core and NS5B-encoding regions of the genome. Recent functional studies have defined one such stem–loop structure in the NS5B region as an essential cis-acting replication element (CRE). A program was developed (structur_dist) that analyses multiple rna-folding patterns predicted by mfold to determine the evolutionary conservation of predicted stem–loop structures and, by a new method, to analyse frequencies of covariant sites in predicted RNA folding between HCV genotypes. These novel bioinformatic methods have been combined with enzymic mapping of RNA transcripts from the core and NS5B regions to precisely delineate the RNA structures that are present in these genomic regions. Together, these methods predict the existence of multiple, often juxtaposed stem–loops that are found in all HCV genotypes throughout both regions, as well as several strikingly conserved single-stranded regions, one of which coincides with a region of the genome to which ribosomal access is required for translation initiation. Despite the existence of marked sequence conservation between genotypes in the HCV CRE and single-stranded regions, there was no evidence for comparable suppression of variability at either synonymous or non-synonymous sites in the other predicted stem–loop structures. The configuration and genetic variability of many of these other NS5B and core structures is perhaps more consistent with their involvement in genome-scale ordered RNA structure, a structural configuration of the genomes of many positive-stranded RNA viruses that is associated with host persistence.
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Thurner, Caroline, Christina Witwer, Ivo L. Hofacker et Peter F. Stadler. « Conserved RNA secondary structures in Flaviviridae genomes ». Journal of General Virology 85, no 5 (1 mai 2004) : 1113–24. http://dx.doi.org/10.1099/vir.0.19462-0.
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Presented here is a comprehensive computational survey of evolutionarily conserved secondary structure motifs in the genomic RNAs of the family Flaviviridae. This virus family consists of the three genera Flavivirus, Pestivirus and Hepacivirus and the group of GB virus C/hepatitis G virus with a currently uncertain taxonomic classification. Based on the control of replication and translation, two subgroups were considered separately: the genus Flavivirus, with its type I cap structure at the 5′ untranslated region (UTR) and a highly structured 3′ UTR, and the remaining three groups, which exhibit translation control by means of an internal ribosomal entry site (IRES) in the 5′ UTR and a much shorter less-structured 3′ UTR. The main findings of this survey are strong hints for the possibility of genome cyclization in hepatitis C virus and GB virus C/hepatitis G virus in addition to the flaviviruses; a surprisingly large number of conserved RNA motifs in the coding regions; and a lower level of detailed structural conservation in the IRES and 3′ UTR motifs than reported in the literature. An electronic atlas organizes the information on the more than 150 conserved, and therefore putatively functional, RNA secondary structure elements.
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Sperschneider, Jana, Amitava Datta et Michael J. Wise. « Predicting pseudoknotted structures across two RNA sequences ». Bioinformatics 28, no 23 (8 octobre 2012) : 3058–65. http://dx.doi.org/10.1093/bioinformatics/bts575.
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Abstract Motivation Laboratory RNA structure determination is demanding and costly and thus, computational structure prediction is an important task. Single sequence methods for RNA secondary structure prediction are limited by the accuracy of the underlying folding model, if a structure is supported by a family of evolutionarily related sequences, one can be more confident that the prediction is accurate. RNA pseudoknots are functional elements, which have highly conserved structures. However, few comparative structure prediction methods can handle pseudoknots due to the computational complexity. Results A comparative pseudoknot prediction method called DotKnot-PW is introduced based on structural comparison of secondary structure elements and H-type pseudoknot candidates. DotKnot-PW outperforms other methods from the literature on a hand-curated test set of RNA structures with experimental support. Availability DotKnot-PW and the RNA structure test set are available at the web site http://dotknot.csse.uwa.edu.au/pw. Contact janaspe@csse.uwa.edu.au Supplementary information Supplementary data are available at Bioinformatics online.
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Gao, William, Thomas A. Jones et Elena Rivas. « Discovery of 17 conserved structural RNAs in fungi ». Nucleic Acids Research 49, no 11 (4 juin 2021) : 6128–43. http://dx.doi.org/10.1093/nar/gkab355.
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Abstract Many non-coding RNAs with known functions are structurally conserved: their intramolecular secondary and tertiary interactions are maintained across evolutionary time. Consequently, the presence of conserved structure in multiple sequence alignments can be used to identify candidate functional non-coding RNAs. Here, we present a bioinformatics method that couples iterative homology search with covariation analysis to assess whether a genomic region has evidence of conserved RNA structure. We used this method to examine all unannotated regions of five well-studied fungal genomes (Saccharomyces cerevisiae, Candida albicans, Neurospora crassa, Aspergillus fumigatus, and Schizosaccharomyces pombe). We identified 17 novel structurally conserved non-coding RNA candidates, which include four H/ACA box small nucleolar RNAs, four intergenic RNAs and nine RNA structures located within the introns and untranslated regions (UTRs) of mRNAs. For the two structures in the 3′ UTRs of the metabolic genes GLY1 and MET13, we performed experiments that provide evidence against them being eukaryotic riboswitches.
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Rivas, Elena, Jody Clements et Sean R. Eddy. « Estimating the power of sequence covariation for detecting conserved RNA structure ». Bioinformatics 36, no 10 (7 février 2020) : 3072–76. http://dx.doi.org/10.1093/bioinformatics/btaa080.
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Abstract Pairwise sequence covariations are a signal of conserved RNA secondary structure. We describe a method for distinguishing when lack of covariation signal can be taken as evidence against a conserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to detect covariations. We find that alignments for several long non-coding RNAs previously shown to lack covariation support do have adequate covariation detection power, providing additional evidence against their proposed conserved structures. Availability and implementation The R-scape web server is at eddylab.org/R-scape, with a link to download the source code. Supplementary information Supplementary data are available at Bioinformatics online.
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Sabarinathan, Radhakrishnan, Christian Anthon, Jan Gorodkin et Stefan Seemann. « Multiple Sequence Alignments Enhance Boundary Definition of RNA Structures ». Genes 9, no 12 (4 décembre 2018) : 604. http://dx.doi.org/10.3390/genes9120604.
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Self-contained structured domains of RNA sequences have often distinct molecular functions. Determining the boundaries of structured domains of a non-coding RNA (ncRNA) is needed for many ncRNA gene finder programs that predict RNA secondary structures in aligned genomes because these methods do not necessarily provide precise information about the boundaries or the location of the RNA structure inside the predicted ncRNA. Even without having a structure prediction, it is of interest to search for structured domains, such as for finding common RNA motifs in RNA-protein binding assays. The precise definition of the boundaries are essential for downstream analyses such as RNA structure modelling, e.g., through covariance models, and RNA structure clustering for the search of common motifs. Such efforts have so far been focused on single sequences, thus here we present a comparison for boundary definition between single sequence and multiple sequence alignments. We also present a novel approach, named RNAbound, for finding the boundaries that are based on probabilities of evolutionarily conserved base pairings. We tested the performance of two different methods on a limited number of Rfam families using the annotated structured RNA regions in the human genome and their multiple sequence alignments created from 14 species. The results show that multiple sequence alignments improve the boundary prediction for branched structures compared to single sequences independent of the chosen method. The actual performance of the two methods differs on single hairpin structures and branched structures. For the RNA families with branched structures, including transfer RNA (tRNA) and small nucleolar RNAs (snoRNAs), RNAbound improves the boundary predictions using multiple sequence alignments to median differences of −6 and −11.5 nucleotides (nts) for left and right boundary, respectively (window size of 200 nts).
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SATO, KENGO, MICHIAKI HAMADA, TOUTAI MITUYAMA, KIYOSHI ASAI et YASUBUMI SAKAKIBARA. « A NON-PARAMETRIC BAYESIAN APPROACH FOR PREDICTING RNA SECONDARY STRUCTURES ». Journal of Bioinformatics and Computational Biology 08, no 04 (août 2010) : 727–42. http://dx.doi.org/10.1142/s0219720010004926.
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Since many functional RNAs form stable secondary structures which are related to their functions, RNA secondary structure prediction is a crucial problem in bioinformatics. We propose a novel model for generating RNA secondary structures based on a non-parametric Bayesian approach, called hierarchical Dirichlet processes for stochastic context-free grammars (HDP-SCFGs). Here non-parametric means that some meta-parameters, such as the number of non-terminal symbols and production rules, do not have to be fixed. Instead their distributions are inferred in order to be adapted (in the Bayesian sense) to the training sequences provided. The results of our RNA secondary structure predictions show that HDP-SCFGs are more accurate than the MFE-based and other generative models.
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Soulé, Antoine, Vladimir Reinharz, Roman Sarrazin-Gendron, Alain Denise et Jérôme Waldispühl. « Finding recurrent RNA structural networks with fast maximal common subgraphs of edge-colored graphs ». PLOS Computational Biology 17, no 5 (28 mai 2021) : e1008990. http://dx.doi.org/10.1371/journal.pcbi.1008990.
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RNA tertiary structure is crucial to its many non-coding molecular functions. RNA architecture is shaped by its secondary structure composed of stems, stacked canonical base pairs, enclosing loops. While stems are precisely captured by free-energy models, loops composed of non-canonical base pairs are not. Nor are distant interactions linking together those secondary structure elements (SSEs). Databases of conserved 3D geometries (a.k.a. modules) not captured by energetic models are leveraged for structure prediction and design, but the computational complexity has limited their study to local elements, loops. Representing the RNA structure as a graph has recently allowed to expend this work to pairs of SSEs, uncovering a hierarchical organization of these 3D modules, at great computational cost. Systematically capturing recurrent patterns on a large scale is a main challenge in the study of RNA structures. In this paper, we present an efficient algorithm to compute maximal isomorphisms in edge colored graphs. We extend this algorithm to a framework well suited to identify RNA modules, and fast enough to considerably generalize previous approaches. To exhibit the versatility of our framework, we first reproduce results identifying all common modules spanning more than 2 SSEs, in a few hours instead of weeks. The efficiency of our new algorithm is demonstrated by computing the maximal modules between any pair of entire RNA in the non-redundant corpus of known RNA 3D structures. We observe that the biggest modules our method uncovers compose large shared sub-structure spanning hundreds of nucleotides and base pairs between the ribosomes of Thermus thermophilus, Escherichia Coli, and Pseudomonas aeruginosa.
Thèses sur le sujet "Functional RNA, Non-Coding RNA, RNA Secondary Structure Prediction, Conserved RNA Structures"
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Hofacker, Ivo L., et Peter F. Stadler. « Modeling RNA folding ». 2006. https://ul.qucosa.de/id/qucosa%3A32981.
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In recent years it has become evident that functional RNAs in living organisms are not just curious remnants from a primoridal RNA world but an ubiquitous phenomenon complementing protein enzyme based activity. Functional RNAs, just like proteins, depend in many cases upon their well-defined and evolutionarily conserved three-dimensional structure. In contrast to protein folds, however, RNA molecules have a biophysically important coarse-grained representation: their secondary structure. At this level of resolution at least, RNA structures can be efficiently predicted given only the sequence information. As a consequence, computational studies of RNA routinely incorporate structural information explicitly. RNA secondary structure prediction has proven useful in diverse fields ranging from theoretical models of sequence evolution and biopolymer folding, to genome analysis and even the design biotechnologically or pharmaceutically useful molecules.