Gene Ontology annotations and resources.

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.

The Gene Ontology (GO) database and informatics resource.

The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocabularies and classifications that cover several domains of molecular and cellular biology and are freely available for community use in the annotation of genes, gene products and sequences. Many model organism databases and genome annotation groups use the GO and contribute their annotation sets to the GO resource. The GO database integrates the vocabularies and contributed annotations and provides full access to this information in several formats. Members of the GO Consortium continually work collectively, involving outside experts as needed, to expand and update the GO vocabularies. The GO Web resource also provides access to extensive documentation about the GO project and links to applications that use GO data for functional analyses.

An integrated computational pipeline and database to support whole-genome sequence annotation.

We describe here our experience in annotating the Drosophila melanogaster genome sequence, in the course of which we developed several new open-source software tools and a database schema to support large-scale genome annotation. We have developed these into an integrated and reusable software system for whole-genome annotation. The key contributions to overall annotation quality are the marshalling of high-quality sequences for alignments and the design of a system with an adaptable and expandable flexible architecture.

Apollo: a sequence annotation editor.

The well-established inaccuracy of purely computational methods for annotating genome sequences necessitates an interactive tool to allow biological experts to refine these approximations by viewing and independently evaluating the data supporting each annotation. Apollo was developed to meet this need, enabling curators to inspect genome annotations closely and edit them. FlyBase biologists successfully used Apollo to annotate the Drosophila melanogaster genome and it is increasingly being used as a starting point for the development of customized annotation editing tools for other genome projects.

The ARKdb: genome databases for farmed and other animals.

The ARKdb genome databases provide comprehensive public repositories for genome mapping data from farmed species and other animals (http://www.thearkdb.org) providing a resource similar in function to that offered by GDB or MGD for human or mouse genome mapping data, respectively. Because we have attempted to build a generic mapping database, the system has wide utility, particularly for those species for which development of a specific resource would be prohibitive. The ARKdb genome database model has been implemented for 10 species to date. These are pig, chicken, sheep, cattle, horse, deer, tilapia, cat, turkey and salmon. Access to the ARKdb databases is effected via the World Wide Web using the ARKdb browser and Anubis map viewer. The information stored includes details of loci, maps, experimental methods and the source references. Links to other information sources such as PubMed and EMBL/GenBank are provided. Responsibility for data entry and curation is shared amongst scientists active in genome research in the species of interest. Mirror sites in the United States are maintained in addition to the central genome server at Roslin.

VACM-1, a cullin gene family member, regulates cellular signaling.

Vasopressin-activated Ca(2+)-mobilizing (VACM-1) receptor binds arginine vasopressin (AVP) but does not have amino acid sequence homology with the traditional AVP receptors. VACM-1, however, is homologous with a newly discovered cullin family of proteins that has been implicated in the regulation of cell cycle through the ubiquitin-mediated degradation of cyclin-dependent kinase inhibitors. Because cell cycle processes can be regulated by the transmembrane signal transduction systems, the effects of VACM-1 expression on the Ca(2+) and cAMP-dependent signaling pathway were examined in a stable cell line expressing VACM-1 in VACM-1 transfected COS-1 cells and in cells cotransfected with VACM-1 and the adenylyl cyclase-linked V(2) AVP receptor cDNAs. Expression of the VACM-1 gene reduced basal as well as forskolin- and AVP-stimulated cAMP production. In cells cotransfected with VACM-1 and the V(2) receptor, the AVP- and forskolin-induced increases in adenylyl cyclase activity and cAMP production were inhibited. The inhibitory effect of VACM-1 on cAMP production could be reversed by pretreating cells with staurosporin, a protein kinase A (PKA) inhibitor, or by mutating S730A, the PKA-dependent phosphorylation site in the VACM-1 sequence. The protein kinase C specific inhibitor Gö-6983 further enhanced the inhibitory effect of VACM-1 on AVP-stimulated cAMP production. Finally, AVP stimulated D-myo-inositol 1,4, 5-trisphosphate production both in the transiently transfected COS-1 cells and in the stable cell line expressing VACM-1, but not in the control COS-1 and Chinese hamster ovary cells. Our data demonstrate that VACM-1, the first mammalian cullin protein to be characterized, is involved in the regulation of signaling.

Comparative genomics of the eukaryotes.

A comparative analysis of the genomes of Drosophila melanogaster, Caenorhabditis elegans, and Saccharomyces cerevisiae-and the proteins they are predicted to encode-was undertaken in the context of cellular, developmental, and evolutionary processes. The nonredundant protein sets of flies and worms are similar in size and are only twice that of yeast, but different gene families are expanded in each genome, and the multidomain proteins and signaling pathways of the fly and worm are far more complex than those of yeast. The fly has orthologs to 177 of the 289 human disease genes examined and provides the foundation for rapid analysis of some of the basic processes involved in human disease.

Design and implementation of a CORBA-based genome mapping system prototype.

MOTIVATION: CORBA (Common Object Request Broker Architecture), as an open standard, is considered to be a good solution for the development and deployment of applications in distributed heterogeneous environments. This technology can be applied in the bioinformatics area to enhance utilization, management and interoperation between biological resources. RESULTS: This paper investigates issues in developing CORBA applications for genome mapping information systems in the Internet environment with emphasis on database connectivity and graphical user interfaces. The design and implementation of a CORBA prototype for an animal genome mapping database are described. AVAILABILITY: The prototype demonstration is available via: http://www.ri.bbsrc.ac.uk/ark_corba/. CONTACT: jian.hu@bbsrc.ac.uk