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Alu insertion polymorphisms for the study of human genomic diversity.

Genomic database mining has been a very useful aid in the identification and retrieval of recently integrated Alu elements from the human genome. We analyzed Alu elements retrieved from the GenBank database and identified two new Alu subfamilies, Alu Yb9 and Alu Yc2, and further characterized Yc1 subfamily members. Some members of each of the three subfamilies have inserted in the human genome so recently that about a one-third of the analyzed elements are polymorphic for the presence/absence of the Alu repeat in diverse human populations. These newly identified Alu insertion polymorphisms will serve as identical-by-descent genetic markers for the study of human evolution and forensics. Three previously classified Alu Y elements linked with disease belong to the Yc1 subfamily, supporting the retroposition potential of this subfamily and demonstrating that the Alu Y subfamily currently has a very low amplification rate in the human genome.

Alu Elements↗

Development of an integrated genome informatics, data management and workflow infrastructure: a toolbox for the study of complex disease genetics.

The genetic dissection of complex disease remains a significant challenge. Sample-tracking and the recording, processing and storage of high-throughput laboratory data with public domain data, require integration of databases, genome informatics and genetic analyses in an easily updated and scaleable format. To find genes involved in multifactorial diseases such as type 1 diabetes (T1D), chromosome regions are defined based on functional candidate gene content, linkage information from humans and animal model mapping information. For each region, genomic information is extracted from Ensembl, converted and loaded into ACeDB for manual gene annotation. Homology information is examined using ACeDB tools and the gene structure verified. Manually curated genes are extracted from ACeDB and read into the feature database, which holds relevant local genomic feature data and an audit trail of laboratory investigations. Public domain information, manually curated genes, polymorphisms, primers, linkage and association analyses, with links to our genotyping database, are shown in Gbrowse. This system scales to include genetic, statistical, quality control (QC) and biological data such as expression analyses of RNA or protein, all linked from a genomics integrative display. Our system is applicable to any genetic study of complex disease, of either large or small scale.

Animals↗

LIFEdb: a database for functional genomics experiments integrating information from external sources, and serving as a sample tracking system.

We have implemented LIFEdb (http://www.dkfz.de/LIFEdb) to link information regarding novel human full-length cDNAs generated and sequenced by the German cDNA Consortium with functional information on the encoded proteins produced in functional genomics and proteomics approaches. The database also serves as a sample-tracking system to manage the process from cDNA to experimental read-out and data interpretation. A web interface enables the scientific community to explore and visualize features of the annotated cDNAs and ORFs combined with experimental results, and thus helps to unravel new features of proteins with as yet unknown functions.

Automation↗

The microbial proteome database--an automated laboratory catalogue for monitoring protein expression in bacteria.

Laboratories devoted to high-throughput characterisation of purified proteins arrayed via two-dimensional (2-D) gel electrophoresis face an arduous task in maintaining a centralised and constantly evolving record of information relating to the characterisation of proteins and their responses following biological challenges. The Microbial Proteome Database (MPD) has been conceived as an in-house resource for complementing the plethora of genomic databases available for such organisms. The database utilises commercially available software to provide an electronic 'lab book' of information obtained daily from 2-D electrophoresis gels, image analysis packages, protein characterisation methodologies, and biological experimentation. The MPD begins from a single 2-D gel image (a 2-D 'reference map') with clickable spots that link to a 'protein catalogue' (ProtCat) with spot information including protein identity, changes in expression determined under experimental conditions, cellular location, mass, and pI. The entry for each protein then contains further links to gel images corresponding to the presence of the particular protein within different subproteomes (as defined by the pH of narrow- and wide-range immobilised pH gradients or from differential extraction methods used to determine the location of the protein within a functional cell). The database currently contains information from strains of three microbial species (Escherichia coil, Pseudomonas aeruginosa and Staphylococcus aureus) and 32 master gel images. The rapid accessibility of information obtained from microbial proteomes is an essential step towards the integrated analysis of these organisms at the gene, transcript, protein and functional levels and will aid in reducing turnaround times between sample preparation and the discovery of molecules of biological significance.

Automation↗

GermOnline, a cross-species community knowledgebase on germ cell differentiation.

GermOnline provides information and microarray expression data for genes involved in mitosis and meiosis, gamete formation and germ line development across species. The database has been developed, and is being curated and updated, by life scientists in cooperation with bioinformaticists. Information is contributed through an online form using free text, images and the controlled vocabulary developed by the GeneOntology Consortium. Authors provide up to three references in support of their contribution. The database is governed by an international board of scientists to ensure a standardized data format and the highest quality of GermOnline's information content. Release 2.0 provides exclusive access to microarray expression data from Saccharomyces cerevisiae and Rattus norvegicus, as well as curated information on approximately 700 genes from various organisms. The locus report pages include links to external databases that contain relevant annotation, microarray expression and proteome data. Conversely, the Saccharomyces Genome Database (SGD), S.cerevisiae GeneDB and Swiss-Prot link to the budding yeast section of GermOnline from their respective locus pages. GermOnline, a fully operational prototype subject-oriented knowledgebase designed for community annotation and array data visualization, is accessible at http://www.germonline.org. The target audience includes researchers who work on mitotic cell division, meiosis, gametogenesis, germ line development, human reproductive health and comparative genomics.

Animals↗

Searching the Porphyromonas gingivalis genome with peptide fragmentation mass spectra.

An approach is described for genomic database searching based on experimentally observed proteolytic fragments, e.g., isolated from 1D or 2D gels or analyzed directly, that can be applied to unfinished prokaryotic genomic data in the absence of annotations or previously assigned open reading frames (ORFs). This variation on the database search is in contrast to the more familiar use of peptide mass spectral fragmentation data to search fully annotated inferred protein databases, e.g., OWL or SWISS-PROT. We compared the SEQUEST search results from a six reading frame translation of the Porphyromonas gingivalis genome DNA sequence with those from computationally derived ORFs created using publicly available genomics software tools. The ORF approach eliminated many of the artifacts present in output from the six reading frame search. The method was applied to uninterpreted tandem mass spectrometric data derived from proteins secreted by the periodontal pathogen Porphyromonas gingivalis in response to the gingival epithelial cell environment, a model system for the study of host-pathogen interactions relevant to human periodontal disease.

Bacterial Proteins↗

Rational drug discovery: what can we learn from regulatory networks?

To enable the list of genes and proteins contained within genomic databases to be useful for drug discovery, we need to understand how the genome maps into the phenome. An essential, but not explicitly listed ingredient of the genome is the regulatory interactions between genes and proteins that form a genome-wide network. How can the concept of regulatory networks increase our understanding of living systems? Networks are more than just static "wiring diagrams". Gene interactions impose dynamic constraints, which, although obvious in emergent phenotypic properties, are not captured by traditional one gene-one trait approaches. Understanding the nature of these constraints in gene-activation state space will pave the way to a holistic yet formal and genomics-based approach to rational drug development.

Computational Biology↗

Identification of a novel neuromedin U receptor subtype expressed in the central nervous system.

Neuromedin U is a neuropeptide prominently expressed in the upper gastrointestinal tract and central nervous system. Recently, GPR66/FM-3 (NmU-R1) was identified as a specific receptor for neuromedin U. A BLAST search of the GenBank(TM) genomic database using the NmU-R1 cDNA sequence revealed a human genomic fragment encoding a G protein-coupled receptor that we designated NmU-R2 based on its homology to NmU-R1. The full-length NmU-R2 cDNA was subsequently cloned, stably expressed in 293 cells, and shown to mobilize intracellular calcium in response to neuromedin U. This response was dose-dependent (EC(50) = 5 nm) and specific in that other neuromedins did not induce a calcium flux in receptor-transfected cells. Expression analysis of human NmU-R2 demonstrated its mRNA to be most highly expressed in central nervous system tissues. Based on these data, we conclude that NmU-R2 is a novel neuromedin U receptor subtype that is likely to mediate central nervous system-specific neuromedin U effects.

Amino Acid Sequence↗

Rules and guidelines for genetic nomenclature in mice: excerpted version. Committee on Standardized Genetic Nomenclature for Mice.

The unique identification of genes and mouse strains is critical to their identification in research and in the scientific literature. Rules for genetic nomenclature in mice have existed since the 1940s. The latest complete revision of the rules was approved by the International Committee on Standardized Genetic Nomenclature for Mice in November, 1993. Minor revisions have occurred since. The complete, current rules are available on-line from The Jackson Laboratory's Mouse Genome Database (MGD), URL: http:(+)+www.informatics.jax.org. A printed version appeared in Mouse Genome 92 (2), June, 1994, and in Genetic Variants and Strains of the Laboratory Mouse, 3rd edition (Committee on Standardized Genetic Nomenclature for Mice, 1996a,b,c). The excerpted version below gives the general guidelines for naming and symbolizing mouse genes, transgenes and transgenic strains, targeted mutations and DNA markers. More detailed guidelines, including revisions as they are made, may be found at the MGD Web site given above. Subparagraphs are numbered as in the complete guidelines so that the user can refer easily from this excerpted version to the full text. Textual references to paragraphs not included here may be found in the full text as well.

Animals↗

Familial juvenile hyperuricaemic nephropathy (FJHN): linkage analysis in 15 families, physical and transcriptional characterisation of the FJHN critical region on chromosome 16p11.2 and the analysis of seven candidate genes.

Familial juvenile hyperuricaemic nephropathy (FJHN) is an autosomal dominant renal disease characterised by juvenile onset of hyperuricaemia, gouty arthritis, and progressive renal failure at an early age. Recent studies in four kindreds showed linkage of a gene for FJHN to the same genomic interval on chromosome 16p11.2, where the gene for the phenotypically similar medullary cystic disease type 2 (MCKD2) has been localised. In this study we performed linkage analysis in additional 15 FJHN families. Linkage of FJHN to 16p11.2 was confirmed in six families, which suggests that, in a large proportion of FJHN kindreds, the disease is likely to be caused by a gene or genes located outside of 16p11.2. Haplotype analysis of the new and previously analysed families provided two non-overlapping critical regions on 16p11.2-FJHN1, delimited by markers D16S499-D16S3036 and FJHN2, delimited by markers D16S412-D16S3116. Considering MCKD2 to be a distinct molecular entity, the analysis suggests that as many as three kidney disease genes may be located in close proximity on 16p11.2. From genomic databases we compiled integrated physical and transcription maps of whole critical genomic region in which 45 known genes and 129 predicted loci have been localised. We selected, analysed and found no pathogenic mutations in seven candidate genes. The linkage and haplotype analysis reported here demonstrates the genetic heterogeneity of FJHN. The report of integrated physical and mostly in-silico predicted transcription maps of the FJHN critical region provides a basis for precise experimental annotation of the current transcript map, which is essential for final identification of the FJHN gene(s).

Chromosome Mapping↗

Rodent epididymal cDNAs identified by sequence homology to human and canine counterparts.

AIM: Identification of the rodent counterparts of human and canine epididymal cDNAs HE3, HE4 and Ce8/Ly6G5C by sequence homology and analysis of their expression patterns and regulation level in the rat. METHODS: "Electronic screening" of Expressed Sequence Tag (EST) and genomic databases, followed by RT-PCR and Northern blot analysis. RESULTS: Rodent ESTs and genomic sequences homologous to HE3, HE4 and Ce8/Ly6G5C were identified in the public databases and the "full-length" rat cDNAs cloned. To emphasise their homology to the human and canine genes, they were named Me3/Re3, Me4/Re4 and Re8 for mouse and rat counterparts, respectively. mRNA expression patterns were analysed in rats, including rat HE1 and HE5/CD52 counterparts as controls. Re3 and Re8 mRNAs were only found in the rat epididymis, while Re4 showed a broader tissue distribution. Within the epididymis, Re3 and Re4 mRNAs were detected in all regions; Re8, on the other hand, was restricted to the caput. During postnatal development, Re3 and control mRNAs were found from the earliest stages investigated, while Re8 mRNA was observed only from day 24 postnatum, corresponding to the onset of spermatogenesis in the prepubertal testis. Castration and testosterone supplementation of adult male rats suggested that none of the cloned mRNAs was directly androgen-regulated. Efferent duct ligation, however, showed that Re8 mRNA levels depended on testicular factors other than androgens. CONCLUSION: The novel rodent cDNAs can now be used to monitor epididymal gene expression more closely and to set up various regulatory and functional studies.

Amino Acid Sequence↗

The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci.

BACKGROUND: Many important agricultural traits such as weight gain, milk fat content and intramuscular fat (marbling) in cattle are quantitative traits. Most of the information on these traits has not previously been integrated into a genomic context. Without such integration application of these data to agricultural enterprises will remain slow and inefficient. Our goal was to populate a genomic database with data mined from the bovine quantitative trait literature and to make these data available in a genomic context to researchers via a user friendly query interface. DESCRIPTION: The QTL (Quantitative Trait Locus) data and related information for bovine QTL are gathered from published work and from existing databases. An integrated database schema was designed and the database (MySQL) populated with the gathered data. The bovine QTL Viewer was developed for the integration of QTL data available for cattle. The tool consists of an integrated database of bovine QTL and the QTL viewer to display QTL and their chromosomal position. CONCLUSION: We present a web accessible, integrated database of bovine (dairy and beef cattle) QTL for use by animal geneticists. The viewer and database are of general applicability to any livestock species for which there are public QTL data. The viewer can be accessed at http://bovineqtl.tamu.edu.

Animals↗

The organization of the keratin I and II gene clusters in placental mammals and marsupials show a striking similarity.

The genomic database for a marsupial, the opossum Monodelphis domestica, is highly advanced. This allowed a complete analysis of the keratin I and keratin II gene cluster with some 30 genes in each cluster as well as a comparison with the human keratin clusters. Human and marsupial keratin gene clusters have an astonishingly similar organization. As placental mammals and marsupials are sister groups a corresponding organization is also expected for the archetype mammal. Since hair is a mammalian acquisition the following features of the cluster refer to its origin. In both clusters hair keratin genes arose at an interior position. While we do not know from which epithelial keratin genes the first hair keratins type-I and -II genes evolved, subsequent gene duplications gave rise to a subdomain of the clusters with many neighboring hair keratin genes. A second subdomain accounts in both clusters for 4 neighboring genes encoding the keratins of the inner root sheath (irs) keratins. Finally the hair keratin gene subdomain in the type-I gene cluster is interrupted after the second gene by a region encoding numerous genes for the high/ultrahigh sulfur hair keratin-associated proteins (KAPs). We also propose a tentative synteny relation of opossum and human genes based on maximal sequence conservation of the encoded keratins. The keratin gene clusters of the opossum seem to lack pseudogenes and display a slightly increased number of genes. Opossum keratin genes are usually longer than their human counterparts and also show longer intergenic distances.

Animals↗

Identification of a novel mitogen-activated protein kinase in Toxoplasma gondii.

Toxoplasma gondii is an Apicomplexan parasite causing significant morbidity and mortality in immunocompromised hosts. Mitogen activated protein kinases regulate diverse biologic processes including proliferation, differentiation, survival and stress responses. We searched a new T. gondii genomic database to identify a 1.6 kilobase pair (kbp) coding region with features suggesting a mitogen activated protein kinase. This gene is predicted to encode a 58kDa protein with a threonine, aspartic acid, tyrosine (TDY) activation loop, similar to parasite and plant mitogen activated protein kinases, but distinct from mammalian mitogen activated protein kinases (with threonine, glycine, tyrosine (TGY) motifs). The predicted protein shares 45% amino acid identity with human stress-activated p38alpha mitogen activated protein kinase. Expression of the cloned gene in Escherichia coli produced a protein with an apparent molecular weight of 63kDa and which exhibited kinase activity. Following osmotic stress, the abundance of the mRNA encoding this T. gondii mitogen activated protein kinase, which we name TgMAPK-1, increased in tachyzoites. Its expression rescued hog1-deficient yeast grown under osmotic stress. These data confirm that the gene product is a stress-response mitogen activated protein kinase. Upon conversion of T. gondii tachyzoites to the latent bradyzoite form in vitro, tgMAPK-1 transcript accumulation increased, suggesting a role in parasite proliferation or stage differentiation. We previously demonstrated that pyridinylimidazole p38 mitogen activated protein kinase inhibitors block T. gondii replication. These inhibitors also blocked TgMAPK-1 autophosphorylation, suggesting that TgMAPK-1, or other parasite mitogen activated protein kinases are novel drug development targets.

Amino Acid Sequence↗

Analysis and characterization of the expression of the secretory and membrane forms of IgM heavy chains in the pufferfish, Takifugu rubripes.

We investigated the structure and expression of immunoglobulin genes in the pufferfish, Takifugu rubripes, a highly prized and economically important fish species. The cDNA fragment that partially encodes the constant region of the IgM heavy chain was isolated in these animals by RACE using degenerate primers after which it was used as a probe for screening IgM heavy chains in a fugu splenic cDNA library. The structural feature of the constant region of fugu sIgM was found to consist of four constant domains (CH1 to CH4), while mIgM was shown to contain a deletion of the CH4 domain, and its transmembrane domain was directly spliced to the CH3 domain as found in other teleosts. This feature may be common to all teleosts. In addition, five VH genes isolated in this study fell into two families based on their variability. Analysis of genomic sequences from the fugu genomic database also showed that there are only two VH families in the genome. The IgM gene was preferentially expressed in presumptive lymphoid tissues. Moreover, in situ hybridization revealed that large numbers of IgM positive cells were widely distributed throughout the spleen, head kidney, kidney, and thymus, confirming that these tissues were major sites of antibody production in fish. The expressions of IgM in the mucosal organs such as the skin, gills, and intestine suggest that they, too, contribute to humoral immunity in aquatic animals. The expression of IgM mRNA in the early development stages of this fish suggests that its larval form possesses a protective defense mechanism against foreign invaders.

Animals↗

Patents for genomes?

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Databases, Bibliographic↗

Lineage specificity of gene expression patterns.

The hematopoietic system offers many advantages as a model for understanding general aspects of lineage choice and specification. Using oligonucleotide microarrays, we compared gene expression patterns of multiple purified hematopoietic cell populations, including neutrophils, monocytes, macrophages, resting, centrocytic, and centroblastic B lymphocytes, dendritic cells, and hematopoietic stem cells. Some of these cells were studied under both resting and stimulated conditions. We studied the collective behavior of subsets of genes derived from the Biocarta database of functional pathways, hand-tuned groupings of genes into broad functional categories based on the Gene Ontology database, and the metabolic pathways in the Kyoto Encyclopedia of Genes and Genomes database. Principal component analysis revealed strikingly pervasive differences in relative levels of gene expression among cell lineages that involve most of the subsets examined. These results indicate that many processes in these cells behave differently in different lineages. Much of the variation among lineages was captured by the first few principal components. Principal components biplots were found to provide a convenient visual display of the contributions of the various genes within the subsets in lineage discrimination. Moreover, by applying tree-constructing methodologies borrowed from phylogenetics to the expression data from differentiated cells and stem cells, we reconstructed a tree of relationships that resembled the established hematopoietic program of lineage development. Thus, the mRNA expression data implicitly contained information about developmental relationships among cell types.

Cell Lineage↗