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At least 91 records · Page 5Linked to original sources

Identification of in vivo target RNA sequences bound by thymidylate synthase.

We developed an immunoprecipitation-RNA-random PCR (rPCR) method to isolate cellular RNA sequences that bind to the folate-dependent enzyme thymidylate synthase (TS). Using this approach, nine different cellular RNAs that formed a ribonucleoprotein (RNP) complex with thymidylate synthase (TS) in human colon cancer cells were identified. RNA binding experiments revealed that seven of these RNAs bound TS with relatively high affinity (IC50 values ranging from 1.5 to 6 nM). One of the RNAs was shown to encode the interferon (IFN)-induced 15 kDa protein. Western immunoblot analyses demonstrated that the level of IFN-induced 15 kDa protein was significantly decreased in human colon cancer H630-R10 cells compared with parent H630 cells. While the level of IFN-induced 15 kDa mRNA expression was the same in parent and TS-overexpressing cell lines, the level of IFN-induced 15 kDa RNA bound to TS in the form of a RNP complex was markedly higher in H630-R10 cells relative to parent H630 cells. These studies begin to define a number of cellular target RNA sequences with which TS interacts and suggest that these TS protein-cellular RNA interactions may have a biological role.

Base Sequence↗

Marginalized kernels for RNA sequence data analysis.

We present novel kernels that measure similarity of two RNA sequences, taking account of their secondary structures. Two types of kernels are presented. One is for RNA sequences with known secondary structures, the other for those without known secondary structures. The latter employs stochastic context-free grammar (SCFG) for estimating the secondary structure. We call the latter the marginalized count kernel (MCK). We show computational experiments for MCK using 74 sets of human tRNA sequence data: (i) kernel principal component analysis (PCA) for visualizing tRNA similarities, (ii) supervised classification with support vector machines (SVMs). Both types of experiment show promising results for MCKs.

Computational Biology↗

Identification of the minimal essential RNA sequences responsible for site-specific targeting of the Leishmania RNA virus 1-4 capsid endoribonuclease.

The Leishmania RNA virus 1-4 capsid protein possesses an endoribonuclease activity responsible for single-site-specific cleavage within the 450-nucleotide 5' untranslated region of its own viral RNA transcript. To characterize the minimal essential RNA determinants required for site-specific cleavage, mutated RNA transcripts were examined for susceptibility to cleavage by the virus capsid protein in an in vitro assay. Deletion analyses revealed that all determinants necessary for accurate cleavage are encoded in viral nucleotides 249 to 342. Nuclease mapping and site-specific mutagenesis of the minimal RNA sequence defined a stem-loop structure that is located 40 nucleotides upstream from the cleavage site (nucleotide 320) and that is essential for accurate RNA cleavage. Abrogation of cleavage by disruption of base pairing within the stem-loop was reversed through the introduction of complementary nucleotide substitutions that reestablished the structure. We also provide evidence that divalent cations, essential components of the cleavage reaction, stabilized the stem-loop structure in solution. That capsid-specific antiserum eliminated specific RNA cleavage provides further evidence that the virus capsid gene encodes the essential endoribonuclease activity.

Animals↗

Equally parsimonious pathways through an RNA sequence space are not equally likely.

An experimental system for determining the potential ability of sequences resembling 5S ribosomal RNA (rRNA) to perform as functional 5S rRNAs in vivo in the Escherichia coli cellular environment was devised previously. Presumably, the only 5S rRNA sequences that would have been fixed by ancestral populations are ones that were functionally valid, and hence the actual historical paths taken through RNA sequence space during 5S rRNA evolution would have most likely utilized valid sequences. Herein, we examine the potential validity of all sequence intermediates along alternative equally parsimonious trajectories through RNA sequence space which connect two pairs of sequences that had previously been shown to behave as valid 5S rRNAs in E. coli. The first trajectory requires a total of four changes. The 14 sequence intermediates provide 24 apparently equally parsimonious paths by which the transition could occur. The second trajectory involves three changes, six intermediate sequences, and six potentially equally parsimonious paths. In total, only eight of the 20 sequence intermediates were found to be clearly invalid. As a consequence of the position of these invalid intermediates in the sequence space, seven of the 30 possible paths consisted of exclusively valid sequences. In several cases, the apparent validity/invalidity of the intermediate sequences could not be anticipated on the basis of current knowledge of the 5S rRNA structure. This suggests that the interdependencies in RNA sequence space may be more complex than currently appreciated. If ancestral sequences predicted by parsimony are to be regarded as actual historical sequences, then the present results would suggest that they should also satisfy a validity requirement and that, in at least limited cases, this conjecture can be tested experimentally.

Base Sequence↗

Leishmania: genus identification based on a specific sequence of the 18S ribosomal RNA sequence.

The analysis of PvuII restriction patterns of Leishmania spp. and Trypanosoma spp. genomic DNA showed genus distinctive profiles. A specific PvuII site was detected in the 5' domain of 18S ribosomal DNA of Leishmania. A 20-mer oligonucleotide encompassing this PvuII region was synthesized. This sequence, when utilized as probe, on short exposures of dot tests, detected 10(3) whole promastigotes of all Leishmania species analyzed but did not hybridize with T. cruzi or human nucleic acids. Two other oligonucleotides were synthesized to be used as primers for amplification through polymerase chain reaction of the 18S ribosomal DNA region containing the PvuII site. The probes described may be useful for the detection of Leishmania spp. under clinical and epidemiological trials.

Animals↗

Single-cell RNA sequencing provides further insights into the immunostimulatory action of freeze-dried Lactiplantibacillus plantarum on Penaeus vannamei shrimp.

Immunostimulation through dietary interventions opened new avenues in developing disease control and prevention tools for shrimp aquaculture. We have previously shown that feeding with freeze-dried Lactiplantibacillus plantarum (LAB) increased disease resistance of Penaeus vannamei against both Vibrio parahaemolyticus and white spot syndrome virus (WSSV) based on bulk RNA sequencing of shrimp gills. This tissue participates in ion transport and serves as a first line of defense against environmental stressors and pathogenic infections. However, characterization of their cell composition and functions remains limited. Here, we implemented a single-cell RNA sequencing approach to further gather insights into how feeding with freeze-dried LAB modulates host immunity which may not be evident with bulk RNA sequencing approach. A total of five clusters with unique transcriptional signatures were identified, corresponding to pillar cells, septal cells, and sessile hemocytes. Pseudo-bulk analyses at global- and cluster-levels showed differential expression of genes related to host immunity and metabolism. We further revealed how overall transcriptomic changes are not exclusively caused by gene expression changes but may also be driven by cell population dynamics. This study highlighted how single-cell RNA sequencing approach may shed light on the mechanisms of action of immunostimulants which may be masked in bulk transcriptome analyses.

Animals↗

Alignment of possible secondary structures in multiple RNA sequences using simulated annealing.

Multiple sequence alignment has been a useful technique for identifying RNA secondary structures. In this paper, an algorithm for aligning multiple RNA sequences to identify possible secondary structure is presented. In this algorithm, dot matrices generated from intra-sequence comparisons are used to obtain possible common secondary structures. A hit probability for dot matrices is calculated and a score function based on this hit probability is defined. Simulated annealing is applied to optimize the score function. The solution set of multiple sequence alignment is introduced, and the effects on the solution set of increasing the number of alignment gaps and the alignment length are analyzed. Several additional strategies to reduce simulated annealing time are applied. A method is applied to reduce the computation time based on the solution set. Also, an optimized transition rule, double shuffle, which moves two positions in a sequence with each iteration, is applied to increase the rate of convergence. This algorithm was used to find possible common secondary structures in RNA sequences.

Algorithms↗

Compact and ordered collapse of randomly generated RNA sequences.

As the raw material for evolution, arbitrary RNA sequences represent the baseline for RNA structure formation and a standard to which evolved structures can be compared. Here, we set out to probe, using physical and chemical methods, the structural properties of RNAs having randomly generated oligonucleotide sequences that were of sufficient length and information content to encode complex, functional folds, yet were unbiased by either genealogical or functional constraints. Typically, these unevolved, nonfunctional RNAs had sequence-specific secondary structure configurations and compact magnesium-dependent conformational states comparable to those of evolved RNA isolates. But unlike evolved sequences, arbitrary sequences were prone to having multiple competing conformations. Thus, for RNAs the size of small ribozymes, natural selection seems necessary to achieve uniquely folding sequences, but not to account for the well-ordered secondary structures and overall compactness observed in nature.

Base Sequence↗

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments.

MOTIVATION: The functions of non-coding RNAs are strongly related to their secondary structures, but it is known that a secondary structure prediction of a single sequence is not reliable. Therefore, we have to collect similar RNA sequences with a common secondary structure for the analyses of a new non-coding RNA without knowing the exact secondary structure itself. Therefore, the sequence comparison in searching similar RNAs should consider not only their sequence similarities but also their potential secondary structures. Sankoff's algorithm predicts the common secondary structures of the sequences, but it is computationally too expensive to apply to large-scale analyses. Because we often want to compare a large number of cDNA sequences or to search similar RNAs in the whole genome sequences, much faster algorithms are required. RESULTS: We propose a new method of comparing RNA sequences based on the structural alignments of the fixed-length fragments of the stem candidates. The implemented software, SCARNA (Stem Candidate Aligner for RNAs), is fast enough to apply to the long sequences in the large-scale analyses. The accuracy of the alignments is better or comparable with the much slower existing algorithms. AVAILABILITY: The web server of SCARNA with graphical structural alignment viewer is available at http://www.scarna.org/.

Algorithms↗

4SALE--a tool for synchronous RNA sequence and secondary structure alignment and editing.

BACKGROUND: In sequence analysis the multiple alignment builds the fundament of all proceeding analyses. Errors in an alignment could strongly influence all succeeding analyses and therefore could lead to wrong predictions. Hand-crafted and hand-improved alignments are necessary and meanwhile good common practice. For RNA sequences often the primary sequence as well as a secondary structure consensus is well known, e.g., the cloverleaf structure of the t-RNA. Recently, some alignment editors are proposed that are able to include and model both kinds of information. However, with the advent of a large amount of reliable RNA sequences together with their solved secondary structures (available from e.g. the ITS2 Database), we are faced with the problem to handle sequences and their associated secondary structures synchronously. RESULTS: 4SALE fills this gap. The application allows a fast sequence and synchronous secondary structure alignment for large data sets and for the first time synchronous manual editing of aligned sequences and their secondary structures. This study describes an algorithm for the synchronous alignment of sequences and their associated secondary structures as well as the main features of 4SALE used for further analyses and editing. 4SALE builds an optimal and unique starting point for every RNA sequence and structure analysis. CONCLUSION: 4SALE, which provides an user-friendly and intuitive interface, is a comprehensive toolbox for RNA analysis based on sequence and secondary structure information. The program connects sequence and structure databases like the ITS2 Database to phylogeny programs as for example the CBCAnalyzer. 4SALE is written in JAVA and therefore platform independent. The software is freely available and distributed from the website at http://4sale.bioapps.biozentrum.uni-wuerzburg.de.

Algorithms↗

Short, synthetic and selectively 13C-labeled RNA sequences for the NMR structure determination of protein-RNA complexes.

We report an optimized synthesis of all canonical 2'-O-TOM protected ribonucleoside phosphoramidites and solid supports containing [13C5]-labeled ribose moieties, their sequence-specific introduction into very short RNA sequences and their use for the structure determination of two protein-RNA complexes. These specifically labeled sequences facilitate RNA resonance assignments and are essential to assign a high number of sugar-sugar and intermolecular NOEs, which ultimately improve the precision and accuracy of the resulting structures. This labeling strategy is particularly useful for the study of protein-RNA complexes with single-stranded RNA in solution, which is rapidly an increasingly relevant research area in biology.

Carbon Isotopes↗

Changes in nuclear and polysomal polyadenylated RNA sequences during rat-liver regeneration.

Nuclear and polysomal polyadenylated RNA populations of normal and 16 hour regenerating rat liver have been compared by mRNA-cDNA hybridisations and by unique DNA saturation experiments. It was found that nuclear polyadenylated RNA hybridises to 6.8% of unique DNA in both normal and 16 hour regenerating rat liver. However, cross-hybridisation experiments using cDNA have shown that 10-15% by weight of nuclear polyadenylated RNA sequences are specific to 16 hour regenerating rat-liver. Since both unique DNA and cDNA hybridisation have shown that normal and 16 hour regenerating rat-liver polysomal polyadenylated RNA populations are qualitatively very similar sequences specific to 16 hour regenerating rat-liver nuclear polyadenylated RNA are nucleus confined. Polysomal RNA sequences which were abundant in normal rat-liver have become less abundant in regenerating rat liver.

Animals↗

Mapping of viral RNA sequences required for assembly of peanut clump virus particles.

RNA sequences required for assembly into rod-shaped virions of RNA-1 and RNA-2 of Peanut clump virus (PCV) were mapped by testing the ability of different RNA-1 and -2 deletion mutants to be encapsidated in vivo in an RNase-resistant form. Encapsidation of RNA-1 was found to require a sequence domain in the 5'-proximal part of the P15 gene, the 3'-proximal gene of RNA-1. On the other hand, the subgenomic RNA which encodes P15 was not encapsidated, suggesting that other features of RNA-1 are important as well. Two sequences which could drive encapsidation of RNA-2 deletion mutants were located. One was in the 5'-proximal coat protein gene and the other in the P14 gene near the RNA 3' terminus. There were no obvious sequence homologies between the different assembly initiation sequences.

Cell Cycle Proteins↗

Identification of renin and angiotensinogen messenger RNA sequences in mouse and rat brains.

Components of the renin angiotensin system have been demonstrated in mouse and rat brains. However, local synthesis of renin has not been documented. In this study, we employed mouse submandibular gland renin complementary DNA (pDD-1D2) and rat liver angiotensinogen complementary DNA (pRang3) to examine whether renin and angiotensinogen RNA sequences exist in mouse and rat brain. Angiotensinogen messenger RNA sequences were readily demonstrable in whole rat and mouse brain using Northern blot hybridization analysis. Using large quantities (greater than 100 micrograms) of brain total RNA and the sensitive complementary RNA probe, we were able to detect low levels of renin RNA sequences in the brains of both species. The relatively low concentration of brain renin messenger RNA and high concentration of angiotensinogen messenger RNA raises several interesting questions about the distribution of these two proteins and their relative contribution to activity of the brain renin-angiotensin system. In summary, our data demonstrate the expression of both renin and angiotensinogen genes in mouse and rat brains and provide definitive evidence for an independent endogenous brain renin angiotensin system.

Angiotensinogen↗

Phy M: an RNase activity specific for U and A residues useful in RNA sequence analysis.

Physarum polycephalum, an acellular slime mold, produces an endoribonuclease activity (Phy M) useful in direct RNA sequence determination. Under conditions previously described for direct enzymatic RNA sequencing (7M urea, 50 degrees C, pH 5.0)1 Phy M cleaves almost exclusively and uniformly at Up-N and Ap-N. In the absence of urea Up-N, Ap-N, and Gp-N are attacked in a sequence specific way identical to that found with RNase Phy I2 digests performed under the same reaction conditions.

Adenine↗

Mining frequent stem patterns from unaligned RNA sequences.

MOTIVATION: In detection of non-coding RNAs, it is often necessary to identify the secondary structure motifs from a set of putative RNA sequences. Most of the existing algorithms aim to provide the best motif or few good motifs, but biologists often need to inspect all the possible motifs thoroughly. RESULTS: Our method RNAmine employs a graph theoretic representation of RNA sequences and detects all the possible motifs exhaustively using a graph mining algorithm. The motif detection problem boils down to finding frequently appearing patterns in a set of directed and labeled graphs. In the tasks of common secondary structure prediction and local motif detection from long sequences, our method performed favorably both in accuracy and in efficiency with the state-of-the-art methods such as CMFinder. AVAILABILITY: The software is available upon request.

Algorithms↗

Protein-RNA sequence covariation in a ribosomal protein-rRNA complex.

Comparative sequence analysis has successfully predicted secondary structure and tertiary interactions in ribosomal and other RNAs. Experiments presented here ask whether the scope of comparative sequence-based predictions can be extended to specific interactions between proteins and RNA, using as a system the well-characterized C-terminal RNA binding domain of ribosomal protein L11 (L11-C76) and its 58 nucleotide binding region in 23S rRNA. The surface of L11-C76 alpha-helix 3 is known to contact RNA; position 69 in this helix is conserved as serine in most organisms but varies to asparagine (all plastids) or glutamine (Mycoplasma). RNA sequence substitutions unique to these groups of organisms occur at base pairs 1062/1076 or 1058/1080, respectively. The possibility that rRNA base pair substitutions compensate for variants in L11 alpha-helix 3 has been tested by measuring binding affinities between sets of protein and RNA sequence variants. Stability of the RNA tertiary structure, as measured by UV melting experiments, was unexpectedly affected by a 1062/1076 base pair substitution; additional mutations were required to restore a stably folded structure to this RNA. The results show that the asparagine variant of L11-C76 residue 69 has been compensated by substitution of a 1062/1076 base pair, and plausibly suggest a direct contact between the amino acid and base pair. For some of the protein and RNA mutations studied, changes in binding affinity probably reflect longer-range adjustments of the protein-RNA contact surface.

Amino Acid Sequence↗