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Biochem J,
2017]
Protein kinases form one of the largest protein families and are found in all species, from viruses to humans. They catalyze the reversible phosphorylation of proteins, often modifying their activity and localization. They are implicated in virtually all cellular processes and are one of the most intensively studied protein families. In recent years, they have become key therapeutic targets in drug development as natural mutations affecting kinase genes are the cause of many diseases. The vast amount of data contained in the primary literature and across a variety of biological data collections highlights the need for a repository where this information is stored in a concise and easily accessible manner. The UniProt Knowledgebase meets this need by providing the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequence and functional information. Here, we describe the expert curation process for kinases, focusing on the Caenorhabditis elegans kinome. The C. elegans kinome is composed of 438 kinases and almost half of them have been functionally characterized, highlighting that C. elegans is a valuable and versatile model organism to understand the role of kinases in biological processes.
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J Chromatogr B Analyt Technol Biomed Life Sci,
2003]
Whole genome sequencing of the free-living nematode Caenorhabditis elegans is a prominent achievement in genomics and uncovers the existence of enormous known and unknown gene products. Characterization and linking of all gene products are the next challenging theme of biology. Genome-wide researches are already progressing on C. elegans and the fruits of these efforts are accessible through the internet. To link the sequence-function relationship, proteomic research has been applied to provide comprehensive information of the worm proteins. In addition to 2-dimensional gel electrophoresis for visualization of the proteome, recent advances in liquid chromatography (LC)-based technologies have allowed the large-scale analysis of proteins and are at cutting-edge of high-throughput analysis of focused proteome.
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Nat Rev Genet,
2003]
Nematodes are unusual among animals in having a substantial proportion of their genes arranged in polycistronic clusters that are similar to bacterial operons. Recently, a nearly complete database of the Caenorhabditis elegans genes that are transcribed in operons has been produced. Analysis of this database has identified the types of genes that are contained in the operons and the extent to which operons co-regulate genes of related function.
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Trends in Genetics,
1998]
On 1 August 1997, US Vice President Gore officially announced the creation of a new World Wide Web database which aims to provide powerful new resources to researchers investigating the molecular basis of cancer...
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Curr Opin Chem Biol,
2001]
Protein -interaction mapping approaches generate functional information for large numbers of genes that are predicted from complete genome sequences. This information, released as databases available on the Internet, is likely to transform the way biologists formulate and then address their questions of interest.
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Methods Cell Biol,
1995]
ACeDB (A Caenorhabditis elegans Data Base) is a data management and display system that contains a wide range of genomic and other information about C. elegans. This chapter provides an overview of ACeDB for the C. elegans user, focusing in particular on the Macintosh version Macace. Previous reviews of AceDB include those of Thierry-Mieg and Durbin (1992) and Durbin and Thierry-Mieg (1994), which describe the general properties of the whole system, and that by Dunham et al. (1994), which discussed the use of AceDB for physical map data collection and assembly. ACeDB was developed by Jean Thierry-Mieg and Richard Durbin primarily for the C. elegans project, when the genomic sequencing project was just beginning in 1990. The original aim was to create a single database that integrated the genetic and physical maps with both genomic sequence data and the literature references. The forerunner of ACeDB was the program CONTIG9 (Sulston et al., 1988), which was developed to maintain and edit the physical map. CONTIG9 served researchers around the world by providing critical on-line access to the current physical map as it was being constructed (Coulson et al., 1986). This policy of immediate access allowed members of the worm community to see the same data as the people making the map, and proved very successful in maximizing use of the map. The same approach was adopted as a template for ACeDB. These two principles, developing a comprehensive database for all types of genomic and related data and providing public access to the data in the same form as used by the data-collecting laboratories, have continued to underlie developments of ACeDB. Over the last 5 years, a wide range of genome projects relating to other organisms have taken the ACeDB program and used it to develop databases for their own data. ACeDB has been used both in public projects designed to redistribute public data in a coordinated fashion and laboratory-based projects for collecting new data. Others, such as the C. elegans ACeDB, have used the database for both purposes. The reason it has been possible to adapt ACeDB so widely is that its flexible data structure allows new types of objects and new types of information about these objects to be added easily. This chapter describes (1) how to obtain ACeDB and documentation for it, (2) how to access and use the information in ACeDB, and (3) how to use ACeDB as a laboratory-based data managing system. Some of what we discuss is specific to the nematode database, but other information applies to the basic computer software program and, hence, to any database using the ACeDB program.
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Science,
2002]
Genomes are databases sensitive to invasion by viruses. In recent years, a defense mechanism has been discovered, which turns out to be conserved among eukaryotes. The system can be compared to the immune system in several ways: It has specificity against foreign elements and the ability to amplify and raise a massive response against an invading nucleic acid. The latter property is beginning to be understood at the molecular level.
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Hum Mol Genet,
2000]
A growing number of medical research teams have begun to explore the experimental advantages of using a genetic animal model, the nematode worm Caenorhabditis elegans, with a view to enhancing our understanding of genes underlying human congenital disorders. In this study, we have compared sequences of positionally cloned human disease genes with the C.elegans database of predicted genes. Drawing on examples from spinal muscular atrophy, polycystic kidney disease, muscular dystrophy and Alzheimer's disease, we illustrate how data from C.elegans can yield new insights into the function and interactions of human disease genes.
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Parasitology,
1999]
Genome projects for the parasitic helminths Brugia malayi (a representative filarial nematode) and Schistosoma were initiated in 1995 by the World Health Organization with the ultimate objectives of identifying new vaccine candidates and drug targets and of developing low resolution genome maps. Because no genetic maps are available, and very few genes have been characterized from either parasite group, the first goal of both Initiatives has been to catalogue new genes for future placement on chromosome and physical maps. These genes have been identified by the expressed sequence tag (EST) approach, utilising cDNA libraries constructed from diverse life cycle stages. To date, the Initiatives have deposited over 16,000 Brugia ESTs and nearly 8000 Schistosoma ESTs in Genbank's dbEST database, corresponding to 6000 and over 3600 genes respectively (33% of Brugia's estimated gene compliment, 18-24% of that of Schistosoma). Large fragment, genomic libraries have been constructed in BAC and YAC vectors for studies of genomic organization and for physical and chromosome mapping, and public, hypertext genomic databases have been established to facilitate data access. We present a summary of progress within the helminth genome initiatives and give several examples of important gene discoveries and future applications of these data.