Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:3.1.26.5 (RNase P)
 1,348 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The exosome is a protein complex consisting of a variety of 3'-to-5' exonucleases that functions both in 3'-to-5' trimming of rRNA precursors and in 3'-to-5' degradation of mRNA. To determine additional exosome functions, we examined the processing of a variety of RNAs, including tRNAs, small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), RNase P, RNase MRP, and SRP RNAs, and 5S rRNAs in mutants defective in either the core components of the exosome or in other proteins required for exosome function. These experiments led to three important conclusions. First, exosome mutants accumulate 3'-extended forms of the U4 snRNA and a wide variety of snoRNAs, including snoRNAs that are independently transcribed or intron derived. This finding suggests that the exosome functions in the 3' end processing of these species. Second, in exosome mutants, transcripts for U4 snRNA and independently transcribed snoRNAs accumulate as 3'-extended polyadenylated species, suggesting that the exosome is required to process these 3'-extended transcripts. Third, processing of 5.8S rRNA, snRNA, and snoRNA by the exosome is affected by mutations of the nuclear proteins Rrp6p and Mtr4p, whereas mRNA degradation by the exosome required Ski2p and was not affected by mutations in RRP6 or MTR4. This finding suggests that the cytoplasmic and nuclear forms of the exosome represent two functionally different complexes involved in distinct 3'-to-5' processing and degradation reactions.
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PMID:Yeast exosome mutants accumulate 3'-extended polyadenylated forms of U4 small nuclear RNA and small nucleolar RNAs. 1061 Dec 22

The nucleotide sequence of the entire genome of a cyanobacterium Gloeobacter violaceus PCC 7421 was determined. The genome of G. violaceus was a single circular chromosome 4,659,019 bp long with an average GC content of 62%. No plasmid was detected. The chromosome comprises 4430 potential protein-encoding genes, one set of rRNA genes, 45 tRNA genes representing 44 tRNA species and genes for tmRNA, B subunit of RNase P, SRP RNA and 6Sa RNA. Forty-one percent of the potential protein-encoding genes showed sequence similarity to genes of known function, 37% to hypothetical genes, and the remaining 22% had no apparent similarity to reported genes. Comparison of the assigned gene components with those of other cyanobacteria has unveiled distinctive features of the G. violaceus genome. Genes for PsaI, PsaJ, PsaK, and PsaX for Photosystem I and PsbY, PsbZ and Psb27 for Photosystem II were missing, and those for PsaF, PsbO, PsbU, and PsbV were poorly conserved. cpcG for a rod core linker peptide for phycobilisomes and nblA related to the degradation of phycobilisomes were also missing. Potential signal peptides of the presumptive products of petJ and petE for soluble electron transfer catalysts were less conserved than the remaining portions. These observations may be related to the fact that photosynthesis in G. violaceus takes place not in thylakoid membranes but in the cytoplasmic membrane. A large number of genes for sigma factors and transcription factors in the LuxR, LysR, PadR, TetR, and MarR families could be identified, while those for major elements for circadian clock, kaiABC were not found. These differences may reflect the phylogenetic distance between G. violaceus and other cyanobacteria.
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PMID:Complete genome structure of Gloeobacter violaceus PCC 7421, a cyanobacterium that lacks thylakoids. 1462 Dec 92

In order to predict non-coding RNA genes and functions on the basis of genome sequences, accurate secondary structure prediction is useful. Although single-sequence folding programs such as mfold have been successful, it is of great importance to develop a novel approach for further improvement of the prediction performance. In the present paper, a secondary structure prediction method based on genetic algorithm, Cofolga, is proposed. The program developed performs folding and alignment of two homologous RNAs simultaneously. Cofolga was tested with a dataset composed of 13 tRNAs, seven 5S rRNAs, five RNase P RNAs, and five SRP RNAs; as a result, it turned out that the average prediction accuracies for the tRNAs, 5S rRNAs, RNase P RNAs, and SRP RNAs obtained by Cofolga with an optimal weight factor and default parameters were 83.6, 81.8, 73.5, and 67.7%, respectively. These results were superior to those obtained by a single-sequence folding based on free-energy minimization in which corresponding average prediction accuracies were 52.4, 47.4, 57.7, and 52.3%, respectively. Cofolga has a post-processing in which a single-sequence folding is performed after fixation of a predicted common structure; this post-processing enables Cofolga to predict a structure that is present in one of two RNAs alone. The executable files of Cofolga (for Windows/Unix/Mac) can be obtained by an e-mail request.
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PMID:Cofolga: a genetic algorithm for finding the common folding of two RNAs. 1583 39

Yeast telomerase, the enzyme that adds a repeated DNA sequence to the ends of the chromosomes, consists of a 1157- nucleotide RNA (TLC1) plus several protein subunits: the telomerase reverse transcriptase Est2p, the regulatory subunit Est1p, the nonhomologous end-joining heterodimer Ku, and the seven Sm proteins involved in ribonucleoprotein (RNP) maturation. The RNA subunit provides the template for telomeric DNA synthesis. In addition, we have reported evidence that it serves as a flexible scaffold to tether the proteins into the complex. More generally, we consider the possibility that RNPs may be considered in three structural categories: (1) those that have specific structures determined in large part by the RNA, including RNase P, other ribozyme-protein complexes, and the ribosome; (2) those that have specific structures determined in large part by proteins, including many small nuclear RNPs (snRNPs) and small nucleolar RNPs (snoRNPs); and (3) flexible scaffolds, with no specific structure of the RNP as a whole, as exemplified by yeast telomerase. Other candidates for flexible scaffold structures are other telomerases, viral IRES (internal ribosome entry site) elements, tmRNA (transfer-messenger RNA), the SRP (signal recognition particle), and Xist and roX1 RNAs that alter chromatin structure to achieve dosage compensation.
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PMID:RNA as a flexible scaffold for proteins: yeast telomerase and beyond. 1738

enod40 is a plant gene that participates in the regulation of symbiotic interaction between leguminous plants and bacteria or fungi. Furthermore, it has been suggested to play a general role in non-symbiotic plant development. Although enod40 seems to have multiple functions, being present in many land plants, the molecular mechanisms of its activity are unclear; they may be determined though, by short peptides and/or RNA structures encoded in the enod40 genes. We utilized conserved RNA structures in enod40 sequences to search nucleotide sequence databases and identified a number of new enod40 homologues in plant species that belong to known, but also, to yet unknown enod40-containing plant families. RNA secondary structure predictions and comparative sequence analysis of enod40 RNAs allowed us to determine the most conserved structural features, present in all known enod40 genes. Remarkably, the topology and evolution of one of the conserved structural domains are similar to those of the expansion segments found in structural RNAs such as rRNAs, RNase P and SRP RNAs. Surprisingly, the enod40 RNA structural elements are much more stronger conserved than the encoded peptides. This finding suggests that some general functions of enod40 gene could be determined by the encoded RNA structure, whereas short peptides may be responsible for more diverse functions found only in certain plant families.
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PMID:Identification of conserved secondary structures and expansion segments in enod40 RNAs reveals new enod40 homologues in plants. 1745 60

As the genomes of more eukaryotic pathogens are sequenced, understanding how molecular differences between parasite and host might be exploited to provide new therapies has become a major focus. Central to cell function are RNA-containing complexes involved in gene expression, such as the ribosome, the spliceosome, snoRNAs, RNase P, and telomerase, among others. In this article we identify by comparative genomics and validate by RNA analysis numerous previously unknown structural RNAs encoded by the Plasmodium falciparum genome, including the telomerase RNA, U3, 31 snoRNAs, as well as previously predicted spliceosomal snRNAs, SRP RNA, MRP RNA, and RNAse P RNA. Furthermore, we identify six new RNA coding genes of unknown function. To investigate the relationships of the RNA coding genes to other genomic features in related parasites, we developed a genome browser for P. falciparum (http://areslab.ucsc.edu/cgi-bin/hgGateway). Additional experiments provide evidence supporting the prediction that snoRNAs guide methylation of a specific position on U4 snRNA, as well as predicting an snRNA promoter element particular to Plasmodium sp. These findings should allow detailed structural comparisons between the RNA components of the gene expression machinery of the parasite and its vertebrate hosts.
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PMID:Structural RNAs of known and unknown function identified in malaria parasites by comparative genomics and RNA analysis. 1790 Nov 54

The nucleotide sequence of the complete genome of a cyanobacterium, Microcystis aeruginosa NIES-843, was determined. The genome of M. aeruginosa is a single, circular chromosome of 5,842,795 base pairs (bp) in length, with an average GC content of 42.3%. The chromosome comprises 6312 putative protein-encoding genes, two sets of rRNA genes, 42 tRNA genes representing 41 tRNA species, and genes for tmRNA, the B subunit of RNase P, SRP RNA, and 6Sa RNA. Forty-five percent of the putative protein-encoding sequences showed sequence similarity to genes of known function, 32% were similar to hypothetical genes, and the remaining 23% had no apparent similarity to reported genes. A total of 688 kb of the genome, equivalent to 11.8% of the entire genome, were composed of both insertion sequences and miniature inverted-repeat transposable elements. This is indicative of a plasticity of the M. aeruginosa genome, through a mechanism that involves homologous recombination mediated by repetitive DNA elements. In addition to known gene clusters related to the synthesis of microcystin and cyanopeptolin, novel gene clusters that may be involved in the synthesis and modification of toxic small polypeptides were identified. Compared with other cyanobacteria, a relatively small number of genes for two component systems and a large number of genes for restriction-modification systems were notable characteristics of the M. aeruginosa genome.
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PMID:Complete genomic structure of the bloom-forming toxic cyanobacterium Microcystis aeruginosa NIES-843. 1819 79

A detailed annotation of non-protein coding RNAs is typically missing in initial releases of newly sequenced genomes. Here we report on a comprehensive ncRNA annotation of the genome of Trichoplax adhaerens, the presumably most basal metazoan whose genome has been published to-date. Since blast identified only a small fraction of the best-conserved ncRNAs--in particular rRNAs, tRNAs and some snRNAs--we developed a semi-global dynamic programming tool, GotohScan, to increase the sensitivity of the homology search. It successfully identified the full complement of major and minor spliceosomal snRNAs, the genes for RNase P and MRP RNAs, the SRP RNA, as well as several small nucleolar RNAs. We did not find any microRNA candidates homologous to known eumetazoan sequences. Interestingly, most ncRNAs, including the pol-III transcripts, appear as single-copy genes or with very small copy numbers in the Trichoplax genome.
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PMID:Non-coding RNA annotation of the genome of Trichoplax adhaerens. 1915 Oct 82

RNA folds during transcription in the cell. Compared to most in vitro studies where the focus is generally on Mg(2+)-initiated refolding of fully synthesized transcripts, cotranscriptional RNA folding studies better replicate how RNA folds in a cellular environment. Unique aspects of cotranscriptional folding include the 5'- to 3'-polarity of RNA, the transcriptional speed, pausing properties of the RNA polymerase, the effect of the transcriptional complex and associated factors, and the effect of RNA-binding proteins. Identifying strategic pause sites can reveal insights on the folding pathway of the nascent transcript. Structural mapping of the paused transcription complexes identifies important folding intermediates along these pathways. Oligohybridization assays and the appearance of the catalytic activity of a ribozyme either in trans or in cis can be used to monitor cotranscriptional folding under a wide range of conditions. In our laboratory, these methodologies have been applied to study the folding of three highly conserved RNAs (RNase P, SRP, and tmRNA), several circularly permuted forms of a bacterial RNase P RNA, a riboswitch (thiM), and an aptamer-activated ribozyme (glmS).
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PMID:RNA folding during transcription: protocols and studies. 2094 70

Homologous non-coding RNAs frequently exhibit domain insertions, where a branch of secondary structure is inserted in a sequence with respect to its homologs. Dynamic programming algorithms for common secondary structure prediction of multiple RNA homologs, however, do not account for these domain insertions. This paper introduces a novel dynamic programming algorithm methodology that explicitly accounts for the possibility of inserted domains when predicting common RNA secondary structures. The algorithm is implemented as Dynalign II, an update to the Dynalign software package for predicting the common secondary structure of two RNA homologs. This update is accomplished with negligible increase in computational cost. Benchmarks on ncRNA families with domain insertions validate the method. Over base pairs occurring in inserted domains, Dynalign II improves accuracy over Dynalign, attaining 80.8% sensitivity (compared with 14.4% for Dynalign) and 91.4% positive predictive value (PPV) for tRNA; 66.5% sensitivity (compared with 38.9% for Dynalign) and 57.0% PPV for RNase P RNA; and 50.1% sensitivity (compared with 24.3% for Dynalign) and 58.5% PPV for SRP RNA. Compared with Dynalign, Dynalign II also exhibits statistically significant improvements in overall sensitivity and PPV. Dynalign II is available as a component of RNAstructure, which can be downloaded from http://rna.urmc.rochester.edu/RNAstructure.html.
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PMID:Dynalign II: common secondary structure prediction for RNA homologs with domain insertions. 2541 99


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