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At least 73 records · Page 4Linked to original sources

Search for hepatitis C virus negative-strand RNA sequences and analysis of viral sequences in the central nervous system: evidence of replication.

Patients with chronic hepatitis C are more likely to have significant changes in their physical and mental well-being than patients with liver disease of other etiology, and hepatitis C virus (HCV) has been occasionally implicated in diseases of the central nervous system. We analyzed the presence of the HCV negative-strand RNA sequence, which is the viral replicative intermediary, in autopsy brain tissue samples from six HCV-infected patients. Negative-strand HCV RNA was searched for by a strand-specific Tth-based reverse transcriptase PCR, and viral sequences amplified from brain tissue and serum were compared by single-strand conformational polymorphism analysis and direct sequencing. HCV RNA negative strands were detected in brain tissue in three patients. In two of these patients, serum- and brain-derived viral sequences were different and classified as belonging to different genotypes. In one of the latter patients, HCV RNA negative strands were detected in lymph node and, while being different from serum-derived sequences, were identical to those present in the brain. The results of the present study suggest that HCV can replicate in the central nervous system, probably in cells of the macrophage/monocyte lineage.

5' Untranslated Regions↗

Site-specific cleavage of RNA by Fe(II).bleomycin.

Bleomycin is an antitumor agent whose activity has long been thought to derive from its ability to degrade DNA. Recent findings suggest that cellular RNA may be a therapeutically relevant locus. At micromolar concentrations, Fe(II)-bleomycin readily cleaved a Bacillus subtilis tRNAHis precursor in a highly selective fashion, but Escherichia coli tRNA(Tyr) precursor was largely unaffected even under more forcing conditions. Other substrates included an RNA transcript encoding a large segment of the reverse transcriptase from human immunodeficiency virus 1. RNA cleavage was oxidative, approximately 10-fold more selective than DNA cleavage, and largely unaffected by nonsubstrate RNAs. RNA sequence analysis suggested recognition of RNA tertiary structure, rather than recognition of specific sequences; subsets of nucleotides at the junction of single- and double-stranded regions were especially susceptible to cleavage. The ready accessibility of cellular RNAs to xenobiotic agents, the high selectivity of bleomycin action on RNAs, and the paucity of mechanisms for RNA repair suggest that RNA may be a therapeutically relevant target for bleomycin.

Bacillus subtilis↗

Biallelic VPS41 Variants in Autosomal Recessive Spinocerebellar Ataxia 29 Resolved by Long-Read Sequencing and RNA Analysis.

BACKGROUND: Biallelic variants in VPS41, encoding a subunit of the HOPS complex, cause autosomal recessive spinocerebellar ataxia 29 (SCAR29), a rare neurodevelopmental disorder with an incompletely defined phenotypic and molecular spectrum. METHODS: We investigated a 24-year-old man with cerebellar ataxia, hypotonia, and intellectual disability. Exome sequencing identified four candidate VPS41 variants. Because maternal DNA was unavailable, long-read genome sequencing was performed to determine allelic configuration, followed by RNA and protein analyses. RESULTS: In addition to typical SCAR29 features, the patient showed previously unreported findings, including swan-neck deformities and pes cavus. Long-read genome sequencing demonstrated that two VPS41 variants were in trans. RNA analysis revealed distinct splicing consequences: one allele produced an out-of-frame transcript predicted to undergo nonsense-mediated decay, whereas the other generated an in-frame exon-skipped transcript. These complementary defects reduced VPS41 expression at both transcript and protein levels, supporting pathogenicity and variant reclassification. CONCLUSION: Our findings expand the phenotypic spectrum of VPS41-related disease and highlight the value of long-read allelic resolution in clarifying pathogenic mechanisms in rare genetic disorders.

Humans↗

Sequence analysis of RNA-2 of different isolates of broad bean wilt virus confirms the existence of two distinct species.

The complete nucleotide sequence of RNA-2 from a Japanese isolate IP of broad bean wilt virus (BBWV) was determined. The sequence encodes a single large polyprotein, which contains a putative movement protein and two coat proteins (CPs). The 3'-terminal sequences of RNA-2 were also determined for three other Japanese isolates and two ATCC isolates (PV132 and PV176) of BBWV. The CPs of the four Japanese isolates share 86.8-98.0% amino acid sequences homology with one another and 88.3-96.5% with those reported for the isolate PV131 (BBWV-2). However, they have only 57.9-66.2% homology with those of PV132 and PV176 (BBWV-1).

3' Untranslated Regions↗

Nucleotide sequence analysis of RNA-5 of five isolates of beet necrotic yellow vein virus and the identity of a deletion mutant.

The nucleotide sequences of RNA-5 from two laboratory isolates (D-5 and D-6) and three field isolates (SH1, S43 and R83) of beet necrotic yellow vein virus (BNYVV) were determined. Isolates D-5 and D-6, derived from a D field culture during mechanical inoculation, contained RNA-5 of molecular size 1.4 kb and 1.0 kb, respectively. The sequences of D-5 SH1, S43 and R83 were found to be at least 98% identical and from 1342 to 1347 nucleotides in length, excluding the poly(A) tail. Each contained a single open reading frame (ORF) encoding a 228 amino acid protein with a molecular mass of 26189 Da (P26). The coding sequence was bordered by a long leader of 443 to 448 nucleotides and a 3'-terminal non-coding region of 215 nucleotides. In isolate D-6, containing the smaller approximately 1.0 kb RNA species referred to as RNA-5a, the ORF had undergone an internal deletion of 303 nucleotides. No sequence identity was found between RNA-5 and either RNA-3 or RNA-4, except for the 5'-terminal nine residues and for approximately the 3'-terminal 200 residues. Thus, the genome organization of BNYVV RNA-5 is very similar to that of RNA-3 and RNA-4, both of which are essential for survival of BNYVV in nature. Although RNA-5 is not essential, it may be associated with symptom expression of BNYVV.

Amino Acid Sequence↗

Cloning and sequence analysis of the coat protein gene of barley mild mosaic virus.

The sequence of the 3' 1462nts of RNA-1 of a UK isolate of the fungal-transmitted virus barley mild mosaic (BaMMV) has been determined. An open reading frame encoding the coat protein gene was identified within this region using amino acid sequence information obtained by cyanogen bromide cleavage of virus particles. The amino acid sequence of the full-length coat protein was deduced from the nucleotide sequence. Amino acid sequence comparisons revealed highest homology to the coat protein of barley yellow mosaic virus. In addition, a significant, but limited, number of the amino acid residues that are conserved between aphid-transmitted potyviruses were also conserved between BaMMV and potyviruses.

Amino Acid Sequence↗

RepR protein expression on plasmid pIP501 is controlled by an antisense RNA-mediated transcription attenuation mechanism.

Expression of the rate-limiting initiator protein RepR of plasmid pIP501 is controlled by the antisense RNAIII. Mutational alteration of individual G residues within the single-stranded loops of RNAIII led to an increase in copy number. In contrast to the G-rich single-stranded loops, two smaller AT-rich loops of RNAIII were found to be dispensable for its inhibitory function. Reciprocal mutations in the same loop compensated for each other's effect, and a destabilization of the major stem structure of RNAIII also resulted in an increased copy number. These data were consistent with the idea that the interaction of RNAIII with its target starts with the formation of a kissing complex between the single-stranded loops of both molecules. The repR mRNA leader sequence, which includes the target of RNAIII, is able to assume two alternative structures due to the presence of two inverted repeats the individual sequences of which are mutually complementary. In the presence of the antisense RNAIII, one of these inverted repeats (IR2) is forced to fold into a transcriptional terminator structure that prevents transcription of the repR gene. In the absence of RNAIII, formation of the transcriptional terminator is prevented and expression of the essential repR gene can proceed normally. This antisense RNA-driven transcriptional attenuation mechanism was supported by extensive deletional analysis and direct evidence that IR2 functions as a transcriptional terminator.

Bacterial Proteins↗

StructMiner: a tool for alignment and detection of conserved secondary structure.

Functional RNA molecules typically have structural patterns that are highly conserved in evolution. Here we present an algorithmic method for multiple alignment of RNAs, taking into consideration both structural similarity and sequence identity. Furthermore, our window-sized comparative analysis corrects the misaligned structure within a distance threshold and identifies the conserved substructures. Based on this new algorithm, StructMiner outperforms existing approaches, which ignore structure information for the alignment and lack the effective means to adjust the misalignments in the analysis phase. In addition, StructMiner is efficient in terms of CPU time and memory usage, making it suitable for structural analysis of very long sequences.

Algorithms↗

Measuring covariation in RNA alignments: physical realism improves information measures.

MOTIVATION: The importance of non-coding RNAs is becoming increasingly evident, and often the function of these molecules depends on the structure. It is common to use alignments of related RNA sequences to deduce the consensus secondary structure by detecting patterns of co-evolution. A central part of such an analysis is to measure covariation between two positions in an alignment. Here, we rank various measures ranging from simple mutual information to more advanced covariation measures. RESULTS: Mutual information is still used for secondary structure prediction, but the results of this study indicate which measures are useful. Incorporating more structural information by considering e.g. indels and stacking improves accuracy, suggesting that physically realistic measures yield improved predictions. This can be used to improve both current and future programs for secondary structure prediction. The best measure tested is the RNAalifold covariation measure modified to include stacking. AVAILABILITY: Scripts, data and supplementary material can be found at http://www.binf.ku.dk/Stinus_covariation

Algorithms↗

Parametric alignment of ordered trees.

MOTIVATION: Computing the similarity between two ordered trees has applications in RNA secondary structure comparison, genetics and chemical structure analysis. Alignment of tree is one of the proposed measures. Similar to pair-wise sequence comparison, there is often disagreement about how to weight matches, mismatches, indels and gaps when we compare two trees. For sequence comparison, the parametric sequence alignment tools have been developed. The users are allowed to see explicitly and completely the effect of parameter choices on the optimal sequence alignments. A similar tool for aligning two ordered trees is required in practice. RESULTS: We develop a parametric tool for aligning two ordered trees that allow users to see the effect of parameter choices on the optimal alignment of trees. Our contributions include: (1) develop a parametric tool for aligning two ordered trees; (2) design an efficient algorithm for aligning two ordered trees with gap penalties that runs in O(n(2)deg(2)) time, where n is the number of nodes in the trees and deg is the degree of the trees; and (3) reduce the space of the algorithm from O(n(2)deg(2)) to O(n log n. deg(2)). AVAILABILITY: The software is available at http://www.cs.cityu.edu.hk/~lwang/software/ParaTree

Algorithms↗

Noncoding RNA gene detection using comparative sequence analysis.

BACKGROUND: Noncoding RNA genes produce transcripts that exert their function without ever producing proteins. Noncoding RNA gene sequences do not have strong statistical signals, unlike protein coding genes. A reliable general purpose computational genefinder for noncoding RNA genes has been elusive. RESULTS: We describe a comparative sequence analysis algorithm for detecting novel structural RNA genes. The key idea is to test the pattern of substitutions observed in a pairwise alignment of two homologous sequences. A conserved coding region tends to show a pattern of synonymous substitutions, whereas a conserved structural RNA tends to show a pattern of compensatory mutations consistent with some base-paired secondary structure. We formalize this intuition using three probabilistic "pair-grammars": a pair stochastic context free grammar modeling alignments constrained by structural RNA evolution, a pair hidden Markov model modeling alignments constrained by coding sequence evolution, and a pair hidden Markov model modeling a null hypothesis of position-independent evolution. Given an input pairwise sequence alignment (e.g. from a BLASTN comparison of two related genomes) we classify the alignment into the coding, RNA, or null class according to the posterior probability of each class. CONCLUSIONS: We have implemented this approach as a program, QRNA, which we consider to be a prototype structural noncoding RNA genefinder. Tests suggest that this approach detects noncoding RNA genes with a fair degree of reliability.

Algorithms↗

TGIRT-seq to profile tRNA-derived RNAs and associated RNA modifications.

RNA modifications are key regulators for RNA processes. tRNA-derived RNAs are small RNAs with size between 15 and 50 bases long that are processed from mature or precursor tRNAs. Despite their more recent discovery, tRNA-derived RNAs have been found to play regulatory roles in many cellular processes including gene silencing, protein synthesis, stress response, and transgenerational inheritance. Furthermore, tRNA-derived RNAs are highly abundant in bodily fluids, posing as potential biomarkers. A unique feature of tRNA-derived RNAs is that they are rich in RNA modifications. Many of the RNA modifications on tRNA-derived RNAs disrupt Watson-Crick base pairing and will thus stall reverse transcriptase, such as N1-methyladenosine (m1A), N1-methylguanosine (m1G) and N2, N2-dimethylguanosine (m22G). These RNA modifications add another layer of regulation onto tRNA-derived RNAs' functions and are of interests for future research. However, these RNA modifications could also lead to lower detection of modification-containing RNAs in genome-wide small RNA sequencing analysis due to reverse transcriptase stall. To circumvent this bias, TGIRT (Thermostable Group II Intron Reverse Transcriptase) has been used to readthrough RNA modifications inserting mismatches. These mismatch signatures can then be used to precisely map the modification sites at base resolution. Here we describe the step-by-step experimental protocol to start with purified RNAs from cells or tissues and use TGIRT to make small RNA sequencing library for Illumina sequencing to profile the abundance of tRNA-derived RNAs and the associated RNA modifications.

RNA, Transfer↗

Nucleotide sequence analysis of RNA synthesized from rabbit globin complementary DNA.

Rabbit globin complementary DNA made with RNA-dependent DNA polymerase (reverse transcriptase) was used as template for in vitro synthesis of (32)P-labeled RNA. The sequences of the nucleotides in most of the fragments resulting from combined ribonuclease T(1) and alkaline phosphatase digestion have been determined. Several fragments were long enough to fit uniquely with the alpha or beta globin amino-acid sequences. These data demonstrate that the cDNA was copied from globin mRNA and contained no detectable contaminants.

Alkaline Phosphatase↗

Full-length sequence analysis of four IBDV strains with different pathogenicities.

Characterization of field isolate 9109, Lukert, Edgar cell culture-adapted (CCA), and Edgar chicken embryo-adapted (CEA) serotype 1 IBDV strains using full-length genomic sequences is reported. IBDV genomic segments A and B were sequenced and the nucleotide and deduced amino acid (aa) sequences were compared with previously reported full-length sequenced IBDV strains. We found that the viral protein VPX and amino acid sequences between aa 202-451 and 210-473 of VP2 but not the entire VP2 protein are the best representatives of the entire IBDV genome. The greatest variability was found in the VP2 and 5' non-coding region of segment B among IBDV strains. The deduced amino acid sequences of the VP1 protein varies in length among the strains analyzed. The RNA-dependent, RNA-polymerase motifs within VP1 and the VP5 protein were highly conserved among isolates. Although within the VP2 processing site, amino acid sequence of Lukert was similar to the classical while the Edgar CCA, and CEA were more similar to the very virulent strains, it was determined that these strains have sequence characteristics of the classical strains. In addition, close relatedness between Lukert, Edgar CCA and CEA was observed. Although phylogenetic analysis of the VP1, VP3, and VP4 proteins indicated that 9109 is a classical type virus, this isolate shares unique amino acid changes with very virulent strains within the same proteins. Phylogenetic analysis of the 3' and 5' non-coding regions of segment A revealed that 9109 is more similar to the very virulent strains compared to the classical strains. In the VP2 protein, several amino acids were conserved between variant E and 9109 strains. Thus, it appears that 9109 isolate has characteristics of classical, very virulent, and variant strains. Our analysis indicates that although VPX amino acid comparison may be initially useful for molecular typing, full-length genomic sequence analysis is essential for thorough molecular characterization as partial sequences may not designate a particular strain as very virulent, classical, or variant.

3' Untranslated Regions↗

Analysis of ribosomal RNA sequences by combinatorial clustering.

We present an analysis of multi-aligned eukaryotic and procaryotic small subunit rRNA sequences using a novel segmentation and clustering procedure capable of extracting subsets of sequences that share common sequence features. This procedure consists of: i) segmentation of aligned sequences using a dynamic programming procedure, and subsequent identification of likely conserved segments; ii) for each putative conserved segment, extraction of a locall homogeneous cluster using a novel polynomial procedure; and iii) intersection of clusters associated with each conserved segment. Aside from their utilit in processing large gap-filled multi-alignments, these algorithms can be applied to a broad spectrum of rRNA analysis functions such as subalignment, phylogenetic subtree extraction and construction, and organism tree-placement, and can serve as a framework to organize sequence data in an efficient and easily searchable manner. The sequence classification we obtained using the method presented here shows a remarkable consistency with the independently constructed eukaryotic phylogenetic tree.

Algorithms↗

Human beta-globin messenger RNA. I. Nucleotide sequences derived from complementary RNA.

Sequence analysis studies were carried out on human beta-globin mRNA (beta-mRNA) prepared from alpha-thalassemic, sickle cell, and Hb A reticulocytes. Highly purified beta-mRNA served as substrate for the preparation of cDNA by RNA-dependent DNA polymerase. The cDNA was transcribed by Escherichia coli RNA polymerase and the resulting cRNA was analyzed. Over 300 nucleotides were assigned to the beta-mRNA coding region and 37 nucleotides were assigned to the 3'-terminal noncoding region. The normal termination codon is UAA which is separated by 28 nucleotides from an out of phase UAA triplet. The origin of each of the abnormally long beta-globin variants Tak and Cranston is consistent with reduplication of dinucleotides prior to the normal termination codon, and both globin variants can terminate at the out of phase UAA.

Anemia, Sickle Cell↗