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PubMed2004

Filtering of ineffective siRNAs and improved siRNA design tool.

MOTIVATION: Short interfering RNAs (siRNAs) can be used to suppress gene expression and possess many potential applications in therapy, but how to design an effective siRNA is still not clear. Based on the MPI (Max-Planck-Institute) basic principles, a number of siRNA design tools have been developed recently. The set of candidates reported by these tools is usually large and often contains ineffective siRNAs. In view of this, we initiate the study of filtering ineffective siRNAs. RESULTS: The contribution of this paper is 2-fold. First, we propose a fair scheme to compare existing design tools based on real data in the literature. Second, we attempt to improve the MPI principles and existing tools by an algorithm that can filter ineffective siRNAs. The algorithm is based on some new observations on the secondary structure, which we have verified by AI techniques (decision trees and support vector machines). We have tested our algorithm together with the MPI principles and the existing tools. The results show that our filtering algorithm is effective. AVAILABILITY: The siRNA design software tool can be found in the website http://www.cs.hku.hk/~sirna/ CONTACT: smyiu@cs.hku.hk

Algorithms↗
PubMed2004

Accelerated off-target search algorithm for siRNA.

MOTIVATION: Designing highly effective short interfering RNA (siRNA) sequences with maximum target-specificity for mammalian RNA interference (RNAi) is one of the hottest topics in molecular biology. The relationship between siRNA sequences and RNAi activity has been studied extensively to establish rules for selecting highly effective sequences. However, there is a pressing need to compute siRNA sequences that minimize off-target silencing effects efficiently and to match any non-targeted sequences with mismatches. RESULTS: The enumeration of potential cross-hybridization candidates is non-trivial, because siRNA sequences are short, ca. 19 nt in length, and at least three mismatches with non-targets are required. With at least three mismatches, there are typically four or five contiguous matches, so that a BLAST search frequently overlooks off-target candidates. By contrast, existing accurate approaches are expensive to execute; thus we need to develop an accurate, efficient algorithm that uses seed hashing, the pigeonhole principle, and combinatorics to identify mismatch patterns. Tests show that our method can list potential cross-hybridization candidates for any siRNA sequence of selected human gene rapidly, outperforming traditional methods by orders of magnitude in terms of computational performance. AVAILABILITY: http://design.RNAi.jp CONTACT: yamada@cb.k.u-tokyo.ac.jp.

Algorithms↗
PubMed2004

Highly specific and accurate selection of siRNAs for high-throughput functional assays.

MOTIVATION: Small interfering RNA (siRNA) is widely used in functional genomics to silence genes by decreasing their expression to study the resulting phenotypes. The possibility of performing large-scale functional assays by gene silencing accentuates the necessity of a software capable of the high-throughput design of highly specific siRNA. The main objective sought was the design of a large number of siRNAs with appropriate thermodynamic properties and, especially, high specificity. Since all the available procedures require, to some extent, manual processing of the results to guarantee specific results, specificity constitutes to date, the major obstacle to the complete automation of all the steps necessary for the selection of optimal candidate siRNAs. RESULT: Here, we present a program that for the first time completely automates the search for siRNAs. In SiDE, the most complete set of rules for the selection of siRNA candidates (including G+C content, nucleotides at determined positions, thermodynamic properties, propensity to form internal hairpins, etc.) is implemented and moreover, specificity is achieved by a conceptually new method. After selecting possible siRNA candidates with the optimal functional properties, putative unspecific matches, which can cause cross-hybridization, are checked in databases containing a unique entry for each gene. These truly non-redundant databases are constructed from the genome annotations (Ensembl). Also intron/exon boundaries, presence of polymorphisms (single nucleotide polymorphisms) specificity for either gene or transcript, and other features can be selected to be considered in the design of siRNAs. AVAILABILITY: The program is available as a web server at http://side.bioinfo.cnio.es. The program was written under the GPL license. CONTACT: jdopazo@cnio.es.

Algorithms↗
PubMed2006

Thermodynamics of RNA-RNA binding.

BACKGROUND: Reliable prediction of RNA-RNA binding energies is crucial, e.g. for the understanding on RNAi, microRNA-mRNA binding and antisense interactions. The thermodynamics of such RNA-RNA interactions can be understood as the sum of two energy contributions: (1) the energy necessary to 'open' the binding site and (2) the energy gained from hybridization. METHODS: We present an extension of the standard partition function approach to RNA secondary structures that computes the probabilities Pu[i, j] that a sequence interval [i, j] is unpaired. RESULTS: Comparison with experimental data shows that Pu[i, j] can be applied as a significant determinant of local target site accessibility for RNA interference (RNAi). Furthermore, these quantities can be used to rigorously determine binding free energies of short oligomers to large mRNA targets. The resource consumption is comparable with a single partition function computation for the large target molecule. We can show that RNAi efficiency correlates well with the binding energies of siRNAs to their respective mRNA target. AVAILABILITY: RNAup will be distributed as part of the Vienna RNA Package, www.tbi.univie.ac.at/~ivo/RNA/

Algorithms↗
PubMed2006

Searching RNA motifs and their intermolecular contacts with constraint networks.

MOTIVATION: Searching RNA gene occurrences in genomic sequences is a task whose importance has been renewed by the recent discovery of numerous functional RNA, often interacting with other ligands. Even if several programs exist for RNA motif search, none exists that can represent and solve the problem of searching for occurrences of RNA motifs in interaction with other molecules. RESULTS: We present a constraint network formulation of this problem. RNA are represented as structured motifs that can occur on more than one sequence and which are related together by possible hybridization. The implemented tool MilPat is used to search for several sRNA families in genomic sequences. Results show that MilPat allows to efficiently search for interacting motifs in large genomic sequences and offers a simple and extensible framework to solve such problems. New and known sRNA are identified as H/ACA candidates in Methanocaldococcus jannaschii. AVAILABILITY: http://carlit.toulouse.inra.fr/MilPaT/MilPat.pl.

Algorithms↗
PubMed2003

REDUCE: An online tool for inferring cis-regulatory elements and transcriptional module activities from microarray data.

REDUCE is a motif-based regression method for microarray analysis. The only required inputs are (i) a single genome-wide set of absolute or relative mRNA abundances and (ii) the DNA sequence of the regulatory region associated with each gene that is probed. Currently supported organisms are yeast, worm and fly; it is an open question whether in its current incarnation our approach can be used for mouse or human. REDUCE uses unbiased statistics to identify oligonucleotide motifs whose occurrence in the regulatory region of a gene correlates with the level of mRNA expression. Regression analysis is used to infer the activity of the transcriptional module associated with each motif. REDUCE is available online at http://bussemaker.bio.columbia.edu/reduce/. This web site provides functionality for the upload and management of microarray data. REDUCE analysis results can be viewed and downloaded, and optionally be shared with other users or made publicly accessible.

Algorithms↗
PubMed2004

Efficient computation of optimal oligo-RNA binding.

We present an algorithm that calculates the optimal binding conformation and free energy of two RNA molecules, one or both oligomeric. This algorithm has applications to modeling DNA microarrays, RNA splice-site recognitions and other antisense problems. Although other recent algorithms perform the same calculation in time proportional to the sum of the lengths cubed, O((N1 + N2)3), our oligomer binding algorithm, called bindigo, scales as the product of the sequence lengths, O(N1*N2). The algorithm performs well in practice with the aid of a heuristic for large asymmetric loops. To demonstrate its speed and utility, we use bindigo to investigate the binding proclivities of U1 snRNA to mRNA donor splice sites.

Algorithms↗
PubMed2004

ASmodeler: gene modeling of alternative splicing from genomic alignment of mRNA, EST and protein sequences.

Alternative splicing is in important mechanism of modulating gene function and expression which greatly expands transcriptome diversity. ASmodeler is a novel web-based utility that finds gene models including alternative splicing events from genomic alignment of mRNA, EST and protein sequences. User-supplied sequences are aligned against the genome map using the BLAT and SIM4 programs. Resulting exon connectivity is analyzed by applying graph-theoretic methods to build all possible gene models including splice variants. The algorithm essentially combines the genome-based sequence clustering and transcript assembly procedures in a coherent fashion. In addition to the user-supplied sequences, UniGene clusters and many well-known gene predictions such as Genscan, Ensembl and Acembly may be included in gene modeling. The current implementation supports human, mouse and rat genomes. ASmodeler is available at http://genome.ewha.ac.kr/ECgene/ASmodeler/.

Algorithms↗
PubMed2004

The Alternative Splicing Gallery (ASG): bridging the gap between genome and transcriptome.

Alternative splicing essentially increases the diversity of the transcriptome and has important implications for physiology, development and the genesis of diseases. Conventionally, alternative splicing is investigated in a case-by-case fashion, but this becomes cumbersome and error prone if genes show a huge abundance of different splice variants. We use a different approach and integrate all transcripts derived from a gene into a single splicing graph. Each transcript corresponds to a path in the graph, and alternative splicing is displayed by bifurcations. This representation preserves the relationships between different splicing variants and allows us to investigate systematically all possible putative transcripts. We built a database of splicing graphs for human genes, using transcript information from various major sources (Ensembl, RefSeq, STACK, TIGR and UniGene). A Web interface allows users to display the splicing graphs, to interactively assemble transcripts and to access their sequences as well as neighboring genomic regions. We also provide for each gene an exhaustive pre-computed catalog of putative transcripts--in total more than 1.2 million sequences. We found that approximately 65% of the investigated genes show evidence for alternative splicing, and in 5% of the cases, a single gene might produce over 100 transcripts.

Alternative Splicing↗
PubMed2006

NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.

NCBI's reference sequence (RefSeq) database (http://www.ncbi.nlm.nih.gov/RefSeq/) is a curated non-redundant collection of sequences representing genomes, transcripts and proteins. The database includes 3774 organisms spanning prokaryotes, eukaryotes and viruses, and has records for 2,879,860 proteins (RefSeq release 19). RefSeq records integrate information from multiple sources, when additional data are available from those sources and therefore represent a current description of the sequence and its features. Annotations include coding regions, conserved domains, tRNAs, sequence tagged sites (STS), variation, references, gene and protein product names, and database cross-references. Sequence is reviewed and features are added using a combined approach of collaboration and other input from the scientific community, prediction, propagation from GenBank and curation by NCBI staff. The format of all RefSeq records is validated, and an increasing number of tests are being applied to evaluate the quality of sequence and annotation, especially in the context of complete genomic sequence.

Amino Acid Sequence↗
PubMed2003

Bacteria detected by culture and 16S rRNA sequencing in maxillary sinus samples from intensive care unit patients.

OBJECTIVES/HYPOTHESIS: In critically ill patients, the occurrence of artificial ventilation-acquired sinus disease is common. A possible sinus bacterial infection is occult and is combined with diagnostic difficulties. Culture as a method has limited capacity to verify the presence of bacteria and leaves unanswered the question of a possible infective agent because bacteria are difficult to grow when killed or suppressed by current antibiotic therapy. Hitherto unidentified micro-organisms are also possible in the microenvironments of maxillary sinuses. STUDY DESIGN: Prospective case series. METHODS: Twenty maxillary sinus samples (17 aspirates and 3 lavages) from nine critically ill patients with possible infectious disease were investigated by broad-range 16S rRNA polymerase chain reaction followed by sequencing. These results were compared with the previous culture results from gingiva (passage route), maxillary sinus absorption, and mucosa samples. RESULTS: The contaminations were rare (2 of 20) and corresponded well to culture results. One previously undiagnosed bacterium was found. Two aspirates were negative on both culture and polymerase chain reaction, whereas the corresponding maxillary sinus mucosal cultures had been positive. CONCLUSIONS: Applying a low-contamination maxillary sinuses sampling technique makes 16S rRNA sequencing clinically useful. The polymerase chain reaction and culture results were generally comparable. However, by polymerase chain reaction, bacteria were found that were missed by culturing. Some aspirates were free of bacterial remnants on 16S rRNA polymerase chain reaction, but corresponding mucosal cultures were positive. This could indicate that infection is induced within the tissue. It also indicates that infectious agents introduced into the sinuses may have routes other than the ostium. Further clinical use of 16S rRNA sequencing is required to enlarge our knowledge in applied microbiology and paranasal sinus disease.

Bacteria↗
PubMed1993

Proposals to unify the genera Bartonella and Rochalimaea, with descriptions of Bartonella quintana comb. nov., Bartonella vinsonii comb. nov., Bartonella henselae comb. nov., and Bartonella elizabethae comb. nov., and to remove the family Bartonellaceae from the order Rickettsiales.

DNA hybridization data (hydroxyapatite method, 50 to 70 degrees C) indicate that Rickettsia prowazekii, the type species of the type genus of the family Rickettsiaceae, is substantially less closely related to Rochalimaea species than was previously thought. The levels of relatedness of Rickettsia prowazekii to Rochalimaea species and to Bartonella bacilliformis under optimal conditions for DNA reassociation were 0 to 14%, with 25.5% or greater divergence in related sequences. When stringent reassociation criteria were used, the levels of relatedness were 0 to 2%. The genera Bartonella and Rochalimaea are currently classified in different families (the Bartonellaceae and the Rickettsiaceae) in the order Rickettsiales. On the basis of DNA relatedness data, previous 16S rRNA sequence data, guanine-plus-cytosine contents, and phenotypic characteristics, neither Bartonella bacilliformis nor Rochalimaea species are closely related to other organisms currently classified in the order Rickettsiales. In fact, the closest relative of these organisms is Brucella abortus. It is therefore proposed that the family Bartonellaceae should be removed from the order Rickettsiales. Previous 16S rRNA sequence data and DNA hybridization data revealed high levels of relatedness between Bartonella bacilliformis and the four Rochalimaea species, indicating that these species are members of a single genus. It is proposed that the genus Rochalimaea should be united with the genus Bartonella in the family Bartonellaceae. The name Bartonella is retained as the genus name since it has nomenclatural priority over the name Rochalimaea. This means that new combinations for the Rochalimaea species must be created. Proposals are therefore made for the creation of Bartonella quintana comb. nov., Bartonella vinsonii comb. nov., Bartonella henselae comb. nov., and Bartonella elizabethae comb. nov.

Alphaproteobacteria↗
PubMed1998

Characterization of tropical tree rhizobia and description of Mesorhizobium plurifarium sp. nov.

A collection of strains isolated from root nodules of Acacia species in Senegal was analysed previously by electrophoresis of total cell protein, auxanographic tests, rRNA-DNA hydridization, 16S rRNA gene sequencing, DNA base composition and DNA-DNA hybridization [de Lajudie, P., Willems, A., Pot, B. & 7 other authors (1994). Int J Syst Bacteriol 44, 715-733]. Strains from Acacia were shown to belong to two groups, Sinorhizobium terangae, and a so-called gel electrophoretic cluster U, which also included some reference strains from Brazil. Further taxonomic characterization of this group using the same techniques plus repetitive extragenic palindromic-PCR and nodulation tests is presented in this paper. Reference strains from Sudan and a number of new rhizobia isolated from nodules of Acacia senegal, Acacia tortilis subsp. raddiana and Prosopis juliflora in Senegal were included. As a result of this polyphasic approach, the creation of a new species, Mesorhizobium plurifarium, is proposed for a genotypically and phenotypically distinct group corresponding to the former cluster U and containing strains isolated from Acacia, Leucaena, Prosopis and Chamaecrista in West Africa (Senegal), East Africa (Sudan) and South America (Brazil). The type strain of Mesorhizobium plurifarium ORS 1032 has been deposited in the LMG collection as LMG 11892.

Acacia↗
PubMed1998

Desulfurella kamchatkensis sp. nov. and desulfurella propionica sp. nov., new sulfur-respiring thermophilic bacteria from Kamchatka thermal environments.

Two strains of moderately thermophilic bacteria, which reduce elemental sulfur to hydrogen sulfide, were isolated from volcanic sources in Kamchatka. Strain K-119T was obtained from a thermophilic microbial community associated with Thermothrix thiopara, and strain U-8T was isolated from a cyanobacterial mat inhabiting a sulfide-rich hot spring. Cells of both strains are short Gram-negative rods, motile with one polar flagellum (strain K-119T) or non-motile (strain U-8T). Both strains are obligate anaerobes, have temperature otima of 54-55 degrees C and pH optima of 6.9-7.2. Molecular hydrogen, acetate, fumarate, malate, pyruvate, lactate and long-chain saturated fatty acids served as growth substrates for both species; strain U-8T was also able to grow on propionate. All substrates were oxidized completely, H2S and CO2 being the only metabolic products. Elemental sulfur was obligately required for growth of strain K-119T, whereas strain U-8T was able to grow also with thiosulfate as electron acceptor and on pyruvate without an external electron acceptor. The DNA G + C contents of strains K-119T and U-8T were 31.6 and 32.2 mol%, respectively. Phenotypic features and the results of 16S rRNA sequencing indicate the affiliation of the new isolates to the genus Desulfurella. The DNA-DNA hybridization with Desulfurella acetivorans was 40% for strain K-119T and 55% for strain U-8T; the DNA-DNA hybridization between the new isolates was 32%. Based on the results of morphological, physiological and phylogenetic studies the following two new species are proposed: Desulfurella kamchatkensis sp. nov. with the type strain K-119T (= DSM 10409T) and Desulfurella propionica sp. nov. with the type strain U-8T (= DSM 10410T).

DNA, Bacterial↗
PubMed2004

Comparative genomics of gene expression in the parasitic and free-living nematodes Strongyloides stercoralis and Caenorhabditis elegans.

Although developmental timing of gene expression is used to infer potential gene function, studies have yet to correlate this information between species. We analyzed 10,921 ESTs in 3311 clusters from first- and infective third-stage larva (L1, L3i) of the parasitic nematode Strongyloides stercoralis and compared the results to Caenorhabditis elegans, a species that has an L3i-like dauer stage. In the comparison of S. stercoralis clusters with stage-specific expression to C. elegans homologs expressed in either dauer or nondauer stages, matches between S. stercoralis L1 and C. elegans nondauer-expressed genes dominated, suggesting conservation in the repertoire of genes expressed during growth in nutrient-rich conditions. For example, S. stercoralis collagen transcripts were abundant in L1 but not L3i, a pattern consistent with C. elegans collagens. Although a greater proportion of S. stercoralis L3i than L1 genes have homologs among the C. elegans dauer-specific transcripts, we did not uncover evidence of a robust conserved L3i/dauer 'expression signature.' Strikingly, in comparisons of S. stercoralis clusters to C. elegans homologs with RNAi knockouts, those with significant L1-specific expression were more than twice as likely as L3i-specific clusters to match genes with phenotypes. We also provide functional classifications of S. stercoralis clusters.

Animals↗
PubMed1997

Proinflammatory cytokines regulate Fc alphaR expression by human mesangial cells in vitro.

IgA nephropathy (IgAN) is defined by the predominant deposition of IgA immune complexes (IC) in the glomerular mesangium. Interaction between IgA immune complexes and mesangial cells (MC) could be a linchpin for the genesis of IgAN. We studied the modulation of MC expression of IgA receptors (Fc alphaR) by selected cytokines. Binding of 125I-IgA to quiescent human MC showed 2.55 x 10(5) sites/cell with an affinity (Ka) of 3.2 x 10(7) M(-1). Addition of selected recombinant cytokines had no significant influence on Ka, but increased the number of sites/cell relative to unstimulated cells. Northern hybridization using the pHuFc alphaR cDNA probe showed time-dependent increases in mRNA expression in stimulated versus control cells. IL-6 and tumour necrosis factor-alpha (TNF-alpha) had a biphasic effect on the Fc alphaR mRNA level; at 48 h, IL-6 increased steady state mRNA levels about six-fold relative to control, TNF-alpha increased mRNA four-fold, and interferon-gamma (IFN-gamma) induced Fc alphaR mRNA two-fold. By reverse transcriptase-polymerase chain reaction (RT-PCR), the Fc alphaR expressed on human MC appears highly homologous to that expressed by U937 cells. Altered Fc alphaR expression in response to cytokines may influence the pathogenesis of IgAN by affecting deposition and/or clearance of IgA-IC in the mesangium.

Animals↗
PubMed2006

Comparison of prokaryotic diversity at offshore oceanic locations reveals a different microbiota in the Mediterranean Sea.

The bacterial and archaeal assemblages at two offshore sites located in polar (Greenland Sea; depth: 50 and 2000 m) and Mediterranean (Ionian Sea; depth 50 and 3000 m) waters were studied by PCR amplification and sequencing of the last 450-500 bp of the 16S rRNA gene. A total of 1621 sequences, together with alignable 16S rRNA gene fragments from the Sargasso Sea metagenome database, were analysed to ascertain variations associated with geographical location and depth. The Ionian 50 m sample appeared to be the most diverse and also had remarkable differences in terms of the prokaryotic groups retrieved; surprisingly, however, many similarities were found at the level of large-scale diversity between the Sargasso database fragments and the Greenland 50 m sample. Most sequences with more than 97% sequence similarity, a value often taken as indicative of species delimitation, were only found at a single location/depth; nevertheless, a few examples of cosmopolitan sequences were found in all samples. Depth was also an important factor and, although both deep-water samples had overall similarities, there were important differences that could be due to the warmer waters at depth of the Mediterranean Sea.

Archaea↗