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PubMed2006

Engineering RNA sequence specificity of Pumilio repeats.

Puf proteins bind RNA sequence specifically and regulate translation and stability of target mRNAs. A "code" for RNA recognition has been deduced from crystal structures of the Puf protein, human Pumilio1, where each of eight repeats binds an RNA base via a combination of three side chains at conserved positions. Here, we report the creation of seven soluble mutant proteins with predictably altered sequence specificity, including one that binds tightly to adenosine-uracil-rich element RNA. These data show that Pumilio1 can be used as a scaffold to engineer RNA-binding proteins with designed sequence specificity.

Adenine↗

PubMed1997

Complete large subunit ribosomal RNA sequences from the heterokont algae Ochromonas danica, Nannochloropsis salina, and Tribonema aequale, and phylogenetic analysis.

The large subunit ribosomal RNA sequences from the heterokont algae Ochromonas danica, Nannochloropsis salina, and Tribonema aequale were determined. These sequences were combined with small subunit ribosomal RNA sequences in order to carry out a phylogenetic analysis based on neighbor-joining, maximum parsimony, and maximum likelihood methods. Our results indicate that heterokont fungi and heterokont algae each are monophyletic, and confirm that they together form a monophyletic group called "stramenopiles." Within the heterokont algae, the eustigmatophyte Nannochloropsis salina either clusters with the chrysophyte Ochromonas danica or forms a sister group to a cluster comprising the phaeophyte Scytosiphon lomentaria and the xanthophyte Tribonema aequale. The alveolates were identified as the closest relatives of the stramenopiles, but the exact order of divergence between the eukaryotic crown taxa could not be established with confidence.

Animals↗

PubMed1982

Spliced and unspliced virus specific RNA sequences are associated with purified simian virus 40 chromatin.

We have analyzed SV40 specific RNA sequences which are associated with purified viral chromatin. Three discrete size classes of large unprocessed transcripts were identified: 4.8, 3.6 and 3.0 kb. Furthermore, two polyadenylated species of 2.6 and 1.6 kb were found, the latter of which representing mature 16 S mRNA. S1 analysis revealed both the presence of spliced and unspliced RNA sequences in transcriptionally active SV40 chromatin.

Animals↗

PubMed2000

Recovery and analysis of human immunodeficiency virus type 1 (HIV) RNA sequences from plasma samples with low HIV RNA levels.

Amplification of human immunodeficiency virus type 1 (HIV) reverse transcriptase (RT) and protease (PT) sequences from plasma is difficult when HIV RNA levels are low, and it usually cannot be accomplished in samples with <1,000 HIV RNA copies/ml. Because the RNA extraction step is critical for the success of subsequent amplifications and sequence analyses, two RNA extraction methods were compared to study plasma samples with low HIV RNA levels. Forty-four plasma samples containing <500 HIV RNA copies/ml in a branched-DNA (bDNA) assay (Quantiplex HIV RNA assay version 2.0 [Chiron Corp., Emeryville, Calif.]) were studied. RNA was extracted by using two commercial kits (QIAamp Viral RNA kit [Qiagen, Hilden, Germany] and NucliSens kit [Organon Teknika, Boxtel, The Netherlands]). Fragments (1,144 bp) encompassing HIV PT and RT sequences were amplified by nested PCRs. Amplified products were sequenced by using a commercial kit (Applied Biosystems). HIV RNA was recovered from a total of 21 plasma samples, including 20 samples after extraction by the NucliSens method, and 8 samples after extraction by the QIAamp method (P < 0.05). Mean HIV RNA levels in these samples, measured by an ultrasensitive bDNA assay (Quantiplex HIV RNA assay version 3.0; Chiron Corp., Emeryville, Calif.), were 848 copies/ml (median, 666; range, 154 to 2,606 copies/ml). Analysis of RT and PT sequences in five samples demonstrated an average of 3.8 and 2.4 resistance mutations in these regions, respectively. The NucliSens RNA extraction kit is a valuable method for obtaining HIV RNA for genotypic studies from plasma fractions of individuals with low HIV RNA levels.

HIV Infections↗

PubMed1995

HnRNP L binds a cis-acting RNA sequence element that enables intron-dependent gene expression.

Most pre-mRNAs require an intron for efficient processing in higher eukaryotes. To test the hypothesis that intron-independent gene expression involves positive, cis-acting RNA sequence elements, we constructed chimeric genes in which various regions of the naturally intronless HSV-TK gene were inserted into an intronless variant of the highly intron-dependent human beta-globin gene. Using a transient transfection assay, we identified a 119-nucleotide sequence element contained within the transcribed region of the HSV-TK gene that enables efficient cytoplasmic accumulation of globin RNA in the absence of splicing. RNA UV-cross-linking assays indicated that a 68-kD protein present in nuclear extracts of HeLa and COS cells specifically binds to this HSV-TK sequence element. This 68-kD protein was found to cross-react with an antiserum specific to hnRNP L. Recombinant hnRNP L was shown to bind with high sequence specificity to this RNA sequence element. Analysis of substitution mutants in this element indicated that binding of hnRNP L correlates with accumulation of the RNA in the cytoplasm. Thus, we conclude that (1) hnRNP L binds in a sequence-specific manner to this RNA sequence element that enables intron-independent gene expression, and (2) intron-independent pre-mRNA processing and transport involves sequence-specific RNA-protein interactions between cis-acting RNA sequence elements and proteins such as hnRNP L. This sequence element may be of general use for the efficient expression of cDNA versions of intron-dependent genes.

Animals↗

PubMed1994

Back-propagation and counter-propagation neural networks for phylogenetic classification of ribosomal RNA sequences.

A neural network system has been developed for rapid and accurate classification of ribosomal RNA sequences according to phylogenetic relationship. The molecular sequences are encoded into neural input vectors using an n-gram hashing method. A SVD (singular value decomposition) method is used to compress and reduce the size of long and sparse n-gram input vectors. The neural networks used are three-layered, feed-forward networks that employ supervised learning paradigms, including the back-propagation algorithm and a modified counter-propagation algorithm. A pedagogical pattern selection strategy is used to reduce the training time. After trained with ribosomal RNA sequences of the RDP (Ribosomal Database Project) database, the system can classify query sequences into more than one hundred phylogenetic classes with a 100% accuracy at a rate of less than 0.3 CPU second per sequence on a workstation. When compared to other sequence similarity search methods, including Similarity Rank, Blast and Fasta, the neural network method has a higher classification accuracy at a speed of about an order of magnitude faster. The software tool will be made available to the biology community, and the system may be extended into a gene identification system for classifying indiscriminately sequenced DNA fragments.

Algorithms↗

PubMed2002

Prediction of consensus structural motifs in a family of coregulated RNA sequences.

Given a set of homologous or functionally related RNA sequences, the consensus motifs may represent the binding sites of RNA regulatory proteins. Unlike DNA motifs, RNA motifs are more conserved in structures than in sequences. Knowing the structural motifs can help us gain a deeper insight of the regulation activities. There have been various studies of RNA secondary structure prediction, but most of them are not focused on finding motifs from sets of functionally related sequences. Although recent research shows some new approaches to RNA motif finding, they are limited to finding relatively simple structures, e.g. stem-loops. In this paper, we propose a novel genetic programming approach to RNA secondary structure prediction. It is capable of finding more complex structures than stem-loops. To demonstrate the performance of our new approach as well as to keep the consistency of our comparative study, we first tested it on the same data sets previously used to verify the current prediction systems. To show the flexibility of our new approach, we also tested it on a data set that contains pseudoknot motifs which most current systems cannot identify. A web-based user interface of the prediction system is set up at http://bioinfo. cis.nctu.edu.tw/service/gprm/.

Algorithms↗

PubMed2024

Model-directed generation of artificial CRISPR-Cas13a guide RNA sequences improves nucleic acid detection.

CRISPR guide RNA sequences deriving exactly from natural sequences may not perform optimally in every application. Here we implement and evaluate algorithms for designing maximally fit, artificial CRISPR-Cas13a guides with multiple mismatches to natural sequences that are tailored for diagnostic applications. These guides offer more sensitive detection of diverse pathogens and discrimination of pathogen variants compared with guides derived directly from natural sequences and illuminate design principles that broaden Cas13a targeting.

CRISPR-Cas Systems↗

PubMed2004

RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

The recent interest sparked due to the discovery of a variety of functions for non-coding RNA molecules has highlighted the need for suitable tools for the analysis and the comparison of RNA sequences. Many trans-acting non-coding RNA genes and cis-acting RNA regulatory elements present motifs, conserved both in structure and sequence, that can be hardly detected by primary sequence analysis alone. We present an algorithm that takes as input a set of unaligned RNA sequences expected to share a common motif, and outputs the regions that are most conserved throughout the sequences, according to a similarity measure that takes into account both the sequence of the regions and the secondary structure they can form according to base-pairing and thermodynamic rules. Only a single parameter is needed as input, which denotes the number of distinct hairpins the motif has to contain. No further constraints on the size, number and position of the single elements comprising the motif are required. The algorithm can be split into two parts: first, it extracts from each input sequence a set of candidate regions whose predicted optimal secondary structure contains the number of hairpins given as input. Then, the regions selected are compared with each other to find the groups of most similar ones, formed by a region taken from each sequence. To avoid exhaustive enumeration of the search space and to reduce the execution time, a greedy heuristic is introduced for this task. We present different experiments, which show that the algorithm is capable of characterizing and discovering known regulatory motifs in mRNA like the iron responsive element (IRE) and selenocysteine insertion sequence (SECIS) stem-loop structures. We also show how it can be applied to corrupted datasets in which a motif does not appear in all the input sequences, as well as to the discovery of more complex motifs in the non-coding RNA.

3' Untranslated Regions↗

PubMedDate not supplied

Detection of specific RNA sequences in yeast by in situ colony hybridization.

Recently a convenient method for detection of specific RNA sequences in bacteria has been developed but the original protocol was inapplicable to microorganisms with a rigid cell wall. Here we report a modification of the RNA colony hybridization for use with yeast. The modified method includes the following consecutive procedures: a) treatment of the yeast colonies on the membrane filter with 10% SDS at 65% C for 30 min; b) treatment of the same filter with 3 x SSC, 10% formaldehyde at 65 degrees C for 30 min; c) hybridization with 32P-labelled oligonucleotide (or DNA) specific for the RNA sequence of interest. The intensity of the radioactive signals thus obtained is comparable with that of the E. coli colonies.

Cell Wall↗

PubMed1981

A small nuclear ribonucleoprotein is required for splicing of adenoviral early RNA sequences.

The size and structure of viral RNA species synthesized in nuclei isolated during the early phase of productive infection by adenovirus type 2 have been examined by electrophoresis in denaturing polyacrylamide cells and the nuclease S1 assay. The major products of transcription in vitro of early regions 1 and 2 in the adenoviral genome are processed RNA molecules that appear to be correctly spliced in isolated nuclei. Splicing of adenoviral RNA molecules is inhibited when nuclei are preincubated with antibodies from systemic lupus erythematosus patients that immunoprecipitate small nuclear ribonucleoprotein particles. The specificity of these antibodies suggests that ribonucleoprotein particles containing U1 RNA are required for splicing of the adenoviral RNA sequences we have examined.

Adenoviruses, Human↗

PubMed1998

Detection of hepatitis C virus RNA sequences in hepatic portal cholangiocarcinoma tissue by reverse transcription polymerase chain reaction.

OBJECTIVE: To detect hepatitis C virus (HCV) RNA sequences in the hepatic portal cholangiocarcinoma tissues and their relationship. METHODS: RNA was extracted from paraffin-embedded cholangiocarcinoma tissues of 6 patients by guanidinium method, subjected to reverse transcription and then amplified by double PCR technique using nested primers from the highly conserved 5' noncoding region of HCV genome. RESULTS: HCV RNA of 5' NT sequences was found in the hepatic portal cholangiocarcinoma tissues of 5 out of 6 (83%) patients. CONCLUSIONS: HCV RNA sequences present with high infectious rate in cholangiocarcinoma, and reverse transcription polymerase chain reaction (RT-PCR) assay using primers derived from 5' NT region of HCV sequence is most useful in detecting HCV infection. The development of cholangiocarcinoma awaits further studies.

Adenocarcinoma↗

PubMed2002

Statistical mechanics of secondary structures formed by random RNA sequences.

The formation of secondary structures by a random RNA sequence is studied as a model system for the sequence-structure problem omnipresent in biopolymers. Several toy energy models are introduced to allow detailed analytical and numerical studies. First, a two-replica calculation is performed. By mapping the two-replica problem to the denaturation of a single homogeneous RNA molecule in six-dimensional embedding space, we show that sequence disorder is perturbatively irrelevant, i.e., an RNA molecule with weak sequence disorder is in a molten phase where many secondary structures with comparable total energy coexist. A numerical study of various models at high temperature reproduces behaviors characteristic of the molten phase. On the other hand, a scaling argument based on the external statistics of rare regions can be constructed to show that the low-temperature phase is unstable to sequence disorder. We performed a detailed numerical study of the low-temperature phase using the droplet theory as a guide, and characterized the statistics of large-scale, low-energy excitations of the secondary structures from the ground state structure. We find the excitation energy to grow very slowly (i.e., logarithmically) with the length scale of the excitation, suggesting the existence of a marginal glass phase. The transition between the low-temperature glass phase and the high-temperature molten phase is also characterized numerically. It is revealed by a change in the coefficient of the logarithmic excitation energy, from being disorder dominated to being entropy dominated.

Biophysics↗

PubMed1974

The in vitro synthesis of avian myeloblastosis viral RNA sequences.

Isolated nuclei, prepared from myeloblasts of chicks infected with avian myeloblastosis virus, synthesize RNA sequences present in avian myeloblastosis viral RNA. These sequences are also formed during transcription of chromatin, isolated from myeloblasts, by DNA-dependent RNA polymerases purified from Escherichia coli or calfthymus. In the latter case, transcription is alpha-amanitin sensitive. Formation of hybrids between RNA and avian myeloblastosis virus DNA probes has been monitored by the combined use of ribonucleases A, T(1), and H, and ribonucleases specific for single strands.

Animals↗

PubMed2024

Heat Inactivation of Nipah Virus for Downstream Single-Cell RNA Sequencing Does Not Interfere with Sample Quality.

Single-cell RNA sequencing (scRNA-seq) technologies are instrumental to improving our understanding of virus-host interactions in cell culture infection studies and complex biological systems because they allow separating the transcriptional signatures of infected versus non-infected bystander cells. A drawback of using biosafety level (BSL) 4 pathogens is that protocols are typically developed without consideration of virus inactivation during the procedure. To ensure complete inactivation of virus-containing samples for downstream analyses, an adaptation of the workflow is needed. Focusing on a commercially available microfluidic partitioning scRNA-seq platform to prepare samples for scRNA-seq, we tested various chemical and physical components of the platform for their ability to inactivate Nipah virus (NiV), a BSL-4 pathogen that belongs to the group of nonsegmented negative-sense RNA viruses. The only step of the standard protocol that led to NiV inactivation was a 5 min incubation at 85 °C. To comply with the more stringent biosafety requirements for BSL-4-derived samples, we included an additional heat step after cDNA synthesis. This step alone was sufficient to inactivate NiV-containing samples, adding to the necessary inactivation redundancy. Importantly, the additional heat step did not affect sample quality or downstream scRNA-seq results.

Nipah Virus↗

PubMed2005

Unusually short RNA sequences: design of a 13-mer RNA that selectively binds and recognizes theophylline.

RNA plays critical roles in numerous biological processes and constitutes valuable therapeutic targets. RNA is significant not only for its roles in transmitting the genetic code but also for its enzymatic functions in ribozymes and in peptide bond formation in ribosomes. Recent studies have shown that RNAs containing as few as 22 nucleotides can be key elements in cellular functions. This suggests the possibility of using short RNAs as regulatory elements. Here, we show that ligand recognition and selectivity by RNA molecules can occur with only the presence of a binding pocket and as few as six additional scaffolding nucleotides holding the binding pocket in place. A 13-mer RNA truncation of a 33-mer aptamer for theophylline preserves the ability to bind to theophylline and to discriminate against the structurally similar compound caffeine. The truncated aptamer retains nearly all of the same structural elements in its binding site as those present in the original aptamer. This is the first demonstration of selective ligand binding by a 13-mer RNA.

Base Sequence↗

PubMedDate not supplied

Phylogeny of the rumen ciliates Entodinium, Epidinium and Polyplastron (Litostomatea:Entodiniomorphida) inferred from small subunit ribosomal RNA sequences.

There complete 18S ribosomal RNA gene sequences from the rumen ciliates, Entodinium caudatum (1,639 bp), Epidinium caudatum (1,638 bp), and Polyplastron multivesiculatum (1,640 bp) were determined and confirmed in the opposite direction. Trees produced using maximum parsimony and distance-matrix methods (least squares and neighbour-joining), with strong bootstrap support, depict the rumen ciliates as a monophyletic group. Entodinium caudatum is the earliest branching rumen ciliate. However, Entodinium simplex does not pair with En. caudatum, but rather with Polyplastron multivesiculatum. Signature sequences for these rumen ciliates reveal that the published SSrRNA gene sequence from En. simplex is in fact a Polyplastron species. The free-living haptorian ciliates, The Loxophyllum, Homalozoon and Spathidium (Subclass Haptoria), are monophyletic and are the sister group to the rumen ciliates. The litostomes (Class Litostomatea), consisting of the haptorians and the rumen ciliates, are also a monophyletic group.

Animals↗

PubMed2000

Antisense RNA sequences targeting the 5' leader packaging signal region of human immunodeficiency virus type-1 inhibits viral replication at post-transcriptional stages of the life cycle.

Antisense RNA has proven a potent inhibitor of gene expression and has the potential to inhibit retroviral replication at a number of stages in the virus life cycle by targeting both viral and cellular RNA sequences. Antisense RNA complementary to three target regions in the 5' leader/LTR of human immunodeficiency virus type-1 (HIV-1), the TAR region, the primer binding site and the splice donor (SD)-packaging signal (psi) region were stably expressed from the CMV IE promoter in Jurkat cells, and expression confirmed by RT-PCR. When challenged with HIV-1, cell lines expressing antisense RNA targeting the SD/psi region showed significant inhibition of replication (at up to 10(6) TCID 50/ml). These sequences were also expressed in lymphocytes after transduction using recombinant retroviruses and one sequence complementary to the SD/psi region inhibited replication of HIV-1. A co-transfection assay using COS-1 cells was also developed both to confirm the antiviral potential of these sequences, and to determine the predominant site of action of these molecules. Antisense RNAs targeting the psi region and one sequence complementary to the TAR region inhibited expression of viral protein; furthermore, analyses of relative levels of cellular and virion RNA from these assays suggest each of these antisense molecules exerts its effect at an early stage in the transcription-translation pathway, while the longer of the sequences also inhibited packaging of virion RNA. These results suggest that the packaging signal (psi) of HIV-1 represents an attractive target for antisense RNA-based gene therapy, although the main mode of action of such molecules may well be through antisense effects at an earlier stage of replication than packaging.

3T3 Cells↗