33 research outputs found

    InParanoid 7: new algorithms and tools for eukaryotic orthology analysis

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    The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. The new release 7.0 of the database has grown by an order of magnitude over the previous version and now includes 100 species and their collective 1.3 million proteins organized into 42.7 million pairwise ortholog groups. The InParanoid algorithm itself has been revised and is now both more specific and sensitive. Based on results from our recent benchmarking of low-complexity filters in homology assignment, a two-pass BLAST approach was developed that makes use of high-precision compositional score matrix adjustment, but avoids the alignment truncation that sometimes follows. We have also updated the InParanoid web site (http://InParanoid.sbc.su.se). Several features have been added, the response times have been improved and the site now sports a new, clearer look. As the number of ortholog databases has grown, it has become difficult to compare among these resources due to a lack of standardized source data and incompatible representations of ortholog relationships. To facilitate data exchange and comparisons among ortholog databases, we have developed and are making available two XML schemas: SeqXML for the input sequences and OrthoXML for the output ortholog clusters

    CD8(+) T-Cell Responses to Trypanosoma cruzi Are Highly Focused on Strain-Variant trans-Sialidase Epitopes

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    CD8(+) T cells are crucial for control of a number of medically important protozoan parasites, including Trypanosoma cruzi, the agent of human Chagas disease. Yet, in contrast to the wealth of information from viral and bacterial infections, little is known about the antigen specificity or the general development of effector and memory T-cell responses in hosts infected with protozoans. In this study we report on a wide-scale screen for the dominant parasite peptides recognized by CD8(+) T cells in T. cruzi–infected mice and humans. This analysis demonstrates that in both hosts the CD8(+) T-cell response is highly focused on epitopes encoded by members of the large trans-sialidase family of genes. Responses to a restricted set of immunodominant peptides were especially pronounced in T. cruzi–infected mice, with more than 30% of the CD8(+) T-cell response at the peak of infection specific for two major groups of trans-sialidase peptides. Experimental models also demonstrated that the dominance patterns vary depending on the infective strain of T. cruzi, suggesting that immune evasion may be occurring at a population rather than single-parasite level

    An SNP selection strategy identified IL-22 associating with susceptibility to tuberculosis in Chinese

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    Recent studies showed that IL-22 plays a protective role in the host defense. However, the contribution of polymorphisms of the IL-22 gene to human TB susceptibility remains untested. We have designed a computational approach to select functional SNPs in the IL-22 gene and genotyped them in a two-stage case-control study in Chinese (479 cases and 358 controls). We found that rs2227473, an SNP in the promoter region of IL-22, is associated with TB susceptibility at both stages of our study. The SNP shows associations with p-values of 0.028 and 0.034 respectively, and a combined p-value of 0.0086, with odds ratio at 0.65 (95% confidence interval 0.45–0.90). We further validated the association with an independent cohort (413 cases and 241 controls in Chinese). Our functional studies showed that patients with A allele have significantly higher IL-22 expression than those without A allele under both non-specific and specific stimulations

    A Kernel for Open Source Drug Discovery in Tropical Diseases

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    Open source drug discovery, a promising alternative avenue to conventional patent-based drug development, has so far remained elusive with few exceptions. A major stumbling block has been the absence of a critical mass of preexisting work that volunteers can improve through a series of granular contributions. This paper introduces the results from a newly assembled computational pipeline for identifying protein targets for drug discovery in ten organisms that cause tropical diseases. We have also experimentally tested two promising targets for their binding to commercially available drugs, validating one and invalidating the other. The resulting kernel provides a base of drug targets and lead candidates around which an open source community can nucleate. We invite readers to donate their judgment and in silico and in vitro experiments to develop these targets to the point where drug optimization can begin

    Identification of a New Rhoptry Neck Complex RON9/RON10 in the Apicomplexa Parasite Toxoplasma gondii

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    Apicomplexan parasites secrete and inject into the host cell the content of specialized secretory organelles called rhoptries, which take part into critical processes such as host cell invasion and modulation of the host cell immune response. The rhoptries are structurally and functionally divided into two compartments. The apical duct contains rhoptry neck (RON) proteins that are conserved in Apicomplexa and are involved in formation of the moving junction (MJ) driving parasite invasion. The posterior bulb contains rhoptry proteins (ROPs) unique to an individual genus and, once injected in the host cell act as effector proteins to co-opt host processes and modulate parasite growth and virulence. We describe here two new RON proteins of Toxoplasma gondii, RON9 and RON10, which form a high molecular mass complex. In contrast to the other RONs described to date, this complex was not detected at the MJ during invasion and therefore was not associated to the MJ complex RON2/4/5/8. Disruptions of either RON9 or RON10 gene leads to the retention of the partner in the ER followed by subsequent degradation, suggesting that the RON9/RON10 complex formation is required for proper sorting to the rhoptries. Finally, we show that the absence of RON9/RON10 has no significant impact on the morphology of rhoptry, on the invasion and growth in fibroblasts in vitro or on virulence in vivo. The conservation of RON9 and RON10 in Coccidia and Cryptosporidia suggests a specific relation with development in intestinal epithelial cells

    Phylogenomic analyses of malaria parasites and evolution of their exported proteins

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    <p>Abstract</p> <p>Background</p> <p><it>Plasmodium falciparum </it>is the most malignant agent of human malaria. It belongs to the taxon Laverania, which includes other ape-infecting <it>Plasmodium </it>species. The origin of the Laverania is still debated. <it>P. falciparum </it>exports pathogenicity-related proteins into the host cell using the <it>Plasmodium </it>export element (PEXEL). Predictions based on the presence of a PEXEL motif suggest that more than 300 proteins are exported by <it>P. falciparum</it>, while there are many fewer exported proteins in non-Laverania.</p> <p>Results</p> <p>A whole-genome approach was applied to resolve the phylogeny of eight <it>Plasmodium </it>species and four outgroup taxa. By using 218 orthologous proteins we received unanimous support for a sister group position of Laverania and avian malaria parasites. This observation was corroborated by the analyses of 28 exported proteins with orthologs present in all <it>Plasmodium </it>species. Most interestingly, several deviations from the <it>P. falciparum </it>PEXEL motif were found to be present in the orthologous sequences of non-Laverania.</p> <p>Conclusion</p> <p>Our phylogenomic analyses strongly support the hypotheses that the Laverania have been founded by a single <it>Plasmodium </it>species switching from birds to African great apes or <it>vice versa</it>. The deviations from the canonical PEXEL motif in orthologs may explain the comparably low number of exported proteins that have been predicted in non-Laverania.</p

    EuPathDB: the eukaryotic pathogen database

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    ABSTRACT EuPathDB (http://eupathdb.org) resources include 11 databases supporting eukaryotic pathogen genomic and functional genomic data, isolate data and phylogenomics. EuPathDB resources are built using the same infrastructure and provide a sophisticated search strategy system enabling complex interrogations of underlying data. Recent advances in EuPathDB resources include the design and implementation of a new data loading workflow, a new database supporting Piroplasmida (i.e. Babesia and Theileria), the addition of large amounts of new data and data types and the incorporation of new analysis tools. New data include genome sequences and annotation, strand-specific RNA-seq data, splice junction predictions (based on RNAseq), phosphoproteomic data, high-throughput phenotyping data, single nucleotide polymorphism data based on high-throughput sequencing (HTS) and expression quantitative trait loci data. New analysis tools enable users to search for DNA motifs and define genes based on their genomic colocation, view results from searches graphically (i.e. genes mapped to chromosomes or isolates displayed on a map) and analyze data from columns in result tables (word cloud and histogram summaries of column content). The manuscript herein describes updates to EuPathDB since the previous report published in NAR in 2010

    A Comparison of Federated Databases with Web Services for the Integration of Bioinformatics Data

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    Abstract- Between technological breakthroughs and new computational approaches, the amount of biological data is increasing explosively. Currently, there are many data integration approaches that can provide biologists central and uniform access to all kinds of biological data. To minimize the disruption of current operations, maintain local autonomy and handle heterogeneities, Federated Databases and Web Services have been proposed as candidate solutions. The Web Services approach offers the most flexibility. However, the performance of Web Services has been a concern for many developers. This paper describes a comparison based on our experience with both approaches. It discusses the trade-offs among performance, support for heterogeneity, robustness and scalability. Of significance, is the discovery that the Web Services approach performs very competitively
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