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Biomedical subjects

Dawn Field

Publications and source records attributed to Dawn Field.

17 recordsLinked to original sources

How do we compare hundreds of bacterial genomes?

The genomic revolution is fully upon us in 2006 and the pace of discovery is set to accelerate with the emergence of ultra-high-throughput sequencing technologies. Our complete genome collection of bacteria and archaea continues to grow in number and diversity, as genome sequencing is applied to an array of new problems, from the characterization of the pan-genome to the detection of mutation after experimentation and the exploration of microbial communities in unprecedented detail. The benefits of large-scale comparative genomic analyses are driving the community to think about how to manage our public collections of genomes in novel ways.

Bacteria↗

EST database for early flower development in California poppy (Eschscholzia californica Cham., Papaveraceae) tags over 6,000 genes from a basal eudicot.

The Floral Genome Project (FGP) selected California poppy (Eschscholzia californica Cham. ssp. Californica) to help identify new florally-expressed genes related to floral diversity in basal eudicots. A large, non-normalized cDNA library was constructed from premeiotic and meiotic floral buds and sequenced to generate a database of 9,079 high quality Expressed Sequence Tags (ESTs). These sequences clustered into 5,713 unigenes, including 1,414 contigs and 4,299 singletons. Homologs of genes regulating many aspects of flower development were identified, including those for organ identity and development, cell and tissue differentiation, cell cycle control, and secondary metabolism. Over 5% of the transcriptome consisted of homologs to known floral gene families. Most are the first representatives of their respective gene families in basal eudicots and their conservation suggests they are important for floral development and/or function. App. 10% of the transcripts encoded transcription factors and other regulatory genes, including nine genes from the seven major lineages of the important MADS-box family of developmental regulators. Homologs of alkaloid pathway genes were also recovered, providing opportunities to explore adaptive evolution in secondary products. Furthermore, comparison of the poppy ESTs with the Arabidopsis genome provided support for putative Arabidopsis genes that previously lacked annotation. Finally, over 1,800 unique sequences had no observable homology in the public databases. The California poppy EST database and library will help bridge our understanding of flower initiation and development among higher eudicot and monocot model plants and provide new opportunities for comparative analysis of gene families across angiosperm species.

DNA, Complementary↗

Proteomics and Beyond: a report on the 3rd Annual Spring Workshop of the HUPO-PSI 21-23 April 2006, San Francisco, CA, USA.

The theme of the third annual Spring workshop of the HUPO-PSI was "proteomics and beyond" and its underlying goal was to reach beyond the boundaries of the proteomics community to interact with groups working on the similar issues of developing interchange standards and minimal reporting requirements. Significant developments in many of the HUPO-PSI XML interchange formats, minimal reporting requirements and accompanying controlled vocabularies were reported, with many of these now feeding into the broader efforts of the Functional Genomics Experiment (FuGE) data model and Functional Genomics Ontology (FuGO) ontologies.

Animals↗

Meeting report: eGenomics: Cataloguing our Complete Genome Collection II.

This article summarizes the proceedings of the "eGenomics: Cataloguing our Complete Genome Collection II" workshop held November 10-11, 2005, at the European Bioinformatics Institute. This exploratory workshop, organized by members of the Genomic Standards Consortium (GSC), brought together researchers from the genomic, functional OMICS, and computational biology communities to discuss standardization activities across a range of projects. The workshop proceedings and outcomes are set to help guide the development of the GSC's Minimal Information about a Genome Sequence (MIGS) specification.

Animals↗

Concept of sample in OMICS technology.

Fundamental biological processes can now be studied by applying the full range of OMICS technologies (genomics, transcriptomics, proteomics, metabolomics, and beyond) to the same biological sample. Clearly, it would be desirable if the concept of sample were shared among these technologies, especially as up until the time a biological sample is prepared for use in a specific OMICS assay, its description is inherently technology independent. Sharing a common informatic representation would encourage data sharing (rather than data replication), thereby reducing redundant data capture and the potential for error. This would result in a significant degree of harmonization across different OMICS data standardization activities, a task that is critical if we are to integrate data from these different data sources. Here, we review the current concept of sample in OMICS technologies as it is being dealt with by different OMICS standardization initiatives and discuss the special role that the newly formed Genomic Standards Consortium (GSC) might have to play in this domain.

Animals↗

Annotation of environmental OMICS data: application to the transcriptomics domain.

Researchers working on environmentally relevant organisms, populations, and communities are increasingly turning to the application of OMICS technologies to answer fundamental questions about the natural world, how it changes over time, and how it is influenced by anthropogenic factors. In doing so, the need to capture meta-data that accurately describes the biological "source" material used in such experiments is growing in importance. Here, we provide an overview of the formation of the "Env" community of environmental OMICS researchers and its efforts at considering the meta-data capture needs of those working in environmental OMICS. Specifically, we discuss the development to date of the Env specification, an informal specification including descriptors related to geographic location, environment, organism relationship, and phenotype. We then describe its application to the description of environmental transcriptomic experiments and how we have used it to extend the Minimum Information About a Microarray Experiment (MIAME) data standard to create a domain-specific extension that we have termed MIAME/Env. Finally, we make an open call to the community for participation in the Env Community and its future activities.

Ecology↗

Development of FuGO: an ontology for functional genomics investigations.

The development of the Functional Genomics Investigation Ontology (FuGO) is a collaborative, international effort that will provide a resource for annotating functional genomics investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. FuGO will contain both terms that are universal to all functional genomics investigations and those that are domain specific. In this way, the ontology will serve as the "semantic glue" to provide a common understanding of data from across these disparate data sources. In addition, FuGO will reference out to existing mature ontologies to avoid the need to duplicate these resources, and will do so in such a way as to enable their ease of use in annotation. This project is in the early stages of development; the paper will describe efforts to initiate the project, the scope and organization of the project, the work accomplished to date, and the challenges encountered, as well as future plans.

Biomedical Research↗

Databases and software for the comparison of prokaryotic genomes.

The explosion in the number of complete genomes over the past decade has spawned a new and exciting discipline, that of comparative genomics. To exploit the full potential of this approach requires the development of novel algorithms, databases and software which are sophisticated enough to draw meaningful comparisons between complete genome sequences and are widely accessible to the scientific community at large. This article reviews progress towards the development of computational tools and databases for organizing and extracting biological meaning from the comparison of large collections of genomes.

Computational Biology↗

Using the genome to understand pathogenicity.

Genome sequencing, the determination of the complete complement of DNA in an organism, is revolutionizing all aspects of the biological sciences. Genome sequences make available for scientific scrutiny the complete genetic capacity of an organism. With respect to microbes, this means we now have the unprecedented opportunity to investigate the molecular basis of commensal and virulence behavior. We now have genome sequences for a wide range of bacterial pathogens (obligate, facultative, and opportunistic); this has facilitated the discovery of many previously unidentified determinants of pathogenicity and has provided novel insights into what creates a pathogen. In-depth analyses of bacterial genomes are also providing new perspectives on bacterial physiology, molecular adaptation to a preferred niche, and genomic susceptibility to the uptake of foreign DNA, three key factors that can play a significant role in determining whether a species, or a strain, will have pathogenic potential.

Bacteria↗

High rates of recombination in otitis media isolates of non-typeable Haemophilus influenzae.

Non-typeable (NT) or capsule-deficient, Haemophilus influenzae (Hi) is a common commensal of the upper respiratory tract of humans and can be pathogenic resulting in diseases such as otitis media, sinusitis and pneumonia. The lipopolysaccharide (LPS) of NTHi is a major virulence factor that displays substantial intra-strain and inter-strain variation of its oligosaccharide structures. To investigate the genetic basis of LPS variation we sequenced internal regions of each of seven genes required for the biosynthesis of either the inner or the outer core oligosaccharide structures. These sequences were obtained from 25 representative NTHi isolates from episodes of otitis media. We found abundant evidence of recombination among LPS genes of NTHi, a finding in marked contrast to previous analyses of biosynthetic genes for capsular polysaccharide, a well-documented virulence factor of Hi. We found mosaic sequences, linkage equilibrium between loci and a lack of congruence between gene trees. These high rates were not confined to LPS genes since evidence for similar amounts of recombination was also found in eight housekeeping genes in a subset of the same 25 isolates. These findings provide a population based foundation for a better understanding of the role of NTHi LPS as a virulence factor and its potential as a candidate vaccine.

Genes, Bacterial↗

Quantitative prediction of NF-kappa B DNA-protein interactions.

We describe a general method based on principal coordinates analysis to predict the effects of single-nucleotide polymorphisms within regulatory sequences on DNA-protein interactions. We use binding data for the transcription factor NF-kappaB as a test system. The method incorporates the effects of interactions between base pair positions in the binding site, and we demonstrate that such interactions are present for NF-kappaB. Prediction accuracy is higher than with profile models, confirmed by crossvalidation and by the experimental verification of our predictions for additional sequences. The binding affinities of all potential NF-kappaB sites on human chromosome 22, together with the effects of known single-nucleotide polymorphisms, are calculated to determine likely functional variants. We propose that this approach may be valuable, either on its own or in combination with other methods, when standard profile models are disadvantaged by complex internucleotide interactions.

Base Sequence↗