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Results for “Functional Genomics”

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PubMed2006

FuGE: Functional Genomics Experiment Object Model.

This is an interim report on the Functional Genomics Experiment (FuGE) Object Model. FuGE is a framework for creating data standards for high-throughput biological experiments, developed by a consortium of researchers from academia and industry. FuGE supports rich annotation of samples, protocols, instruments, and software, as well as providing extension points for technology specific details. It has been adopted by microarray and proteomics standards bodies as a basis for forthcoming standards. It is hoped that standards developers for other omics techniques will join this collaborative effort; widespread adoption will allow uniform annotation of common parts of functional genomics workflows, reduce standard development and learning times through the sharing of consistent practice, and ease the construction of software for accessing and integrating functional genomics data.

Computer Simulation↗
PubMed2002

Functional genomics and the comparative physiology of hypoxia.

Comparative physiology has proven a powerful approach to our understanding of how animals function under hypoxic conditions and to identifying potential adaptations to environmental oxygen levels. This review considers the potential for using a similar comparative approach with functional genomics to understand the genetic basis of such physiological processes and evolutionary adaptations. Comparative functional genomics is currently limited by genome data, which are available for only a few model organisms. However, comparative studies between model organisms of the same species having slightly different genomes (e.g., in-bred strains of laboratory rodents, transgenic mice, and consomic rats) demonstrate the types of results, as well as the analytical challenges, that are possible if comparative functional genomics is applied to more species. Results from wild and domestic animal studies suggest new models to investigate physiological and evolutionary responses to oxygen levels with functional genomics.

Animals↗
PubMed2002

Representation of roles in biomedical ontologies: a case study in functional genomics.

OBJECTIVE: Representing roles, i.e. functions of proteins, sequences and structures, is the cornerstone of knowledge representation in functional genomics. The objective of this study is to investigate representation of roles as functional categories or associative relations. We focus on GeneOntology (GO) and the UMLS and take examples from iron metabolism. METHODS: The terms corresponding to the main proteins involved in iron metabolism were mapped to GO (including the annotations) and the UMLS. The representation of their biological roles was then analyzed. RESULTS: Functional aspects are represented in both GO and the UMLS. However, the granularity may not be appropriate. DISCUSSION: Advantages and limits of functional categories and associative relations are discussed.

Genes↗
PubMed2003

European consortia building integrated resources for Arabidopsis functional genomics.

European laboratories specializing in functional genomics technologies collaborate in several consortia to build resources that facilitate gene function discovery in Arabidopsis thaliana. These resources include CATMA (a repertoire of gene-specific sequence tags), CAGE (a compendium of transcript profiles), AGRIKOLA (which consists of plasmids and mutant lines for gene silencing), ORFEUS (a collection of open reading frames) and SAP (a collection of promoter regions).

Arabidopsis↗
PubMed2026

An economic evaluation of functional genomic testing for individuals with undiagnosed rare disorders.

PURPOSE: Functional genomics (FG) approaches, such as RNA-seq and proteomics, offer a complementary diagnostic modality for individuals whose cases remain unsolved after genomic sequencing. This study evaluates the cost-effectiveness and cost-benefit of FG for individuals with suspected monogenic disorders relative to manual reanalysis of genomic data at 18 months. METHODS: A decision tree model compared the costs and outcomes of FG and 18-month reanalysis using data from two Australian Undiagnosed Disease Programs. Deterministic and probability sensitivity analysis were performed. RESULTS: With a diagnostic yield of 13%, FG enabled 4 additional diagnoses per 100 individuals tested at an additional cost of $390 (US $240), resulting in an incremental cost-effectiveness ratio of $8,550 ($5,313) and an 85% probability of being cost-effective. CONCLUSION: Functional genomics enables timely diagnosis for individuals with suspected monogenic disorders by evaluating the functional impact of variants of uncertain significance, offering an advantage over reanalyzing genomic data at 18 months. Integration into the Australian healthcare system, supported by collaborative networks and secure data-sharing infrastructure, coupled with addressing barriers to accessing funded genomic testing, could lead to an annual net benefit of up to $1.1 million ($0.7 M).

Functional genomics↗
PubMed2002

Prospects for functional genomics in Schizosaccharomyces pombe.

Schizosaccharomyces pombe is well established as an experimental organism for basic research, with well developed technologies for molecular biology, genetics and cell biology. Its full genome sequence has recently been published. Here, the prerequisites for functional genomics studies in Sch. pombe are examined and compared with those of some established prominent functional genomics model organisms, especially Saccharomyces cerevisiae. It is argued that functional genomics studies in certain areas of cellular and molecular biology could potentially be more efficiently performed in Sch. pombe than in most other experimental organisms.

Drug Evaluation, Preclinical↗
PubMed2006

[Possible applications of functional genomics in the study of the pathogenesis of adrenal and pituitary tumors].

Functional genomics represents one of the most rapidly evolving fields of contemporary medical research. It is being more and more exploited in endocrinological research, as well, including studies on endocrine tumours. By comparing gene expression profiles of different tumour tissues or to their healthy counterparts, large amounts of information can be obtained that was unfeasible even until recently. There are only few data available on the pathogenesis of sporadic adrenal and pituitary tumours. Owing to recent studies applying functional genomics tools, novel genes were identified that could have pathogenetic relevance. Some of these genes may even be applicable in clinical practice, e.g. for the study of malignancy, determination of prognosis or the choice of therapy. In this short review, the authors attempt to present a synopsis of the possible applications of functional genomics in the field of endocrine tumours by summarizing recent studies on adrenal and pituitary tumours.

Adrenal Gland Neoplasms↗
PubMed1998

Functional genomics: the search for novel neurotransmitters and neuropeptides.

Functional genomics can be defined as the search for the physiological role of a gene for which only its primary sequence is known. Most of the genes encoding proteins containing seven hydrophobic stretches code for G protein-coupled receptors (GPCRs). Although many of these have been shown to interact with known natural ligands, several bind ligands which have not been thus far isolated. These are the so-called orphan GPCRs. As an example of functional genomics, an 'orphan receptor strategy' has been developed to identify the natural ligands of orphan GPCRs. The application of this strategy is bound to revolutionize our understanding of the diversity of the primary messengers which modulate synaptic transmission. This review discusses the basic concepts and some of the particular problems associated with the orphan receptor strategy. The strategy's potential is exemplified by its successes which culminated in the discovery of the neuropeptides 'orphanin FQ/nociceptin' and 'orexins/hypocretins'. The steps that led to the characterization of these neuropeptides are discussed as are some of the further studies that have addressed the roles of these neuropeptides. To conclude, some of the implications of the application of the orphan receptor strategy are discussed.

Humans↗
PubMed2005

Functional genomics of bacterial pathogens: from post-genomics to therapeutic targets.

A wealth of new data have become available to the scientific community as a result of the sequencing of many pathogen genomes. A recent meeting devoted to functional genomics of pathogenic microorganisms confirmed the notion that bacterial genomes are not static, because large blocks of genes can be acquired or deleted. Less complex environments usually result in reduction in genome size, while genome expansion is usually associated with environmental change and complexity. During the meeting, pathogenicity and evolutionary aspects were illustrated for enteric pathogens, as well as the microevolution of the plague bacillus Yersinia pestis. New clues for evolution and pathogenicity were derived from comparative genomics of Listeria species. The genomic organization of Bartonellae, an emerging human pathogen, was also discussed in an evolutionary context. Population and functional genomics of Anthrax-causing bacteria highlighted current scientific interest in this potential biothreat.

Anti-Bacterial Agents↗
PubMed2006

The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball?

To date most global approaches to functional genomics have centred on genomics, transcriptomics and proteomics. However, since a number of high-profile publications, interest in metabolomics, the global profiling of metabolites in a cell, tissue or organism, has been rapidly increasing. A range of analytical techniques, including 1H NMR spectroscopy, gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), Fourier Transform mass spectrometry (FT-MS), high performance liquid chromatography (HPLC) and electrochemical array (EC-array), are required in order to maximize the number of metabolites that can be identified in a matrix. Applications have included phenotyping of yeast, mice and plants, understanding drug toxicity in pharmaceutical drug safety assessment, monitoring tumour treatment regimes and disease diagnosis in human populations. These successes are likely to be built on as other analytical and bioinformatic approaches are developed to fully exploit the information obtained in metabolic profiles. To assist in this process, databases of metabolomic data will be necessary to allow the passage of information between laboratories. In this prospective review, the capabilities of metabolomics in the field of medicine will be assessed in an attempt to predict the impact this 'Cinderella approach' will have at the 'functional genomic ball'.

Animals↗
PubMed2006

Prediction of genomic functional elements.

As the number of sequenced genomes increases, the ability to deduce genome function becomes increasingly salient. For many genome sequences, the only annotation that will be available for the foreseeable future will be based on computational predictions and comparisons with functional elements in related species. Here we discuss computational approaches for automated genome-wide annotation of functional elements in mammalian genomes. These include methods for ab initio and comparative gene-structure predictions. Gene features such as intron splice sites, 3' untranslated regions, promoters, and cis-regulatory elements are discussed, as is a novel method for predicting DNaseI hypersensitive sites. Recent methodologies for predicting noncoding RNA genes, including microRNA genes and their targets, are also reviewed.

Animals↗
PubMed2004

Strategies using functional genomics in rheumatic diseases.

For functional genomics of inflammatory disorders and infection, rheumatic diseases offer unique features to analyse the transition from infection to chronic inflammation, autoimmunity and immunopathology, both systemic and tissue specific. The diseases are frequent and of considerable socio-economic impact. Well-defined cohorts of patients are available. The tissues and cells involved are readily accessible for molecular analysis. Both genetic predisposition and infection are involved in the aetiopathogenesis of rheumatic diseases. The number of susceptibility and severity genes has been estimated to be at least 30, but only few of them have been identified so far. There is an urgent need for developing new therapies adapted to genetic risk and based on a functional genetic and molecular understanding of chronic inflammation. It is evident that gene analysis in inflammatory rheumatic diseases will not only be beneficial for the large number of patients involved, but will also lead to a better understanding of other inflammatory disorders, thereby possibly leading to novel diagnostic and therapeutic strategies in this important group of disorders.

Animals↗
PubMed2004

Functional genomic approaches using the nematode Caenorhabditis elegans as a model system.

Since the completion of the genome project of the nematode C. elegans in 1998, functional genomic approaches have been applied to elucidate the gene and protein networks in this model organism. The recent completion of the whole genome of C. briggsae, a close sister species of C. elegans, now makes it possible to employ the comparative genomic approaches for identifying regulatory mechanisms that are conserved in these species and to make more precise annotation of the predicted genes. RNA interference (RNAi) screenings in C. elegans have been performed to screen the whole genome for the genes whose mutations give rise to specific phenotypes of interest. RNAi screens can also be used to identify genes that act genetically together with a gene of interest. Microarray experiments have been very useful in identifying genes that exhibit co-regulated expression profiles in given genetic or environmental conditions. Proteomic approaches also can be applied to the nematode, just as in other species whose genomes are known. With all these functional genomic tools, genetics will still remain an important tool for gene function studies in the post genome era. New breakthroughs in C. elegans biology, such as establishing a feasible gene knockout method, immortalized cell lines, or identifying viruses that can be used as vectors for introducing exogenous gene constructs into the worms, will augment the usage of this small organism for genome-wide biology.

Animals↗
PubMed2003

Functional genomics and proteomics: charting a multidimensional map of the yeast cell.

The challenge of large-scale functional genomics projects is to build a comprehensive map of the cell including genome sequence and gene expression data, information on protein localization, structure, function and expression, post-translational modifications, molecular and genetic interactions and phenotypic descriptions. Some of this broad set of functional genomics data has been already assembled for the budding yeast. Even though molecular cartography of the yeast cell is still far from comprehensive, functional genomics has begun to forge connections between disparate cellular events and to foster numerous hypotheses. Here we review several different genomics and proteomics technologies and describe bioinformatics methods for exploring these data to make new discoveries.

Chromosome Mapping↗
PubMed2006

A generalized transducing phage (phiIF3) for the genomically sequenced Serratia marcescens strain Db11: a tool for functional genomics of an opportunistic human pathogen.

A bacteriophage (phiIF3) capable of mediating generalized transduction in Serratia marcescens strain Db11 has been isolated and characterized. The genome of this Serratia strain has recently been sequenced and is likely to become the reference strain for S. marcescens researchers. phiIF3 is most likely a virulent phage, which can transduce markers at frequencies of 10(-6) transductants per p.f.u. It has a lipopolysaccharide receptor and was determined to have a latent period of 50 min and a burst size of approximately 100 phages. The phage DNA was resistant to digestion with restriction enzymes. Electron microscopy showed phiIF3 to be a member of the family Myoviridae. This is the first report of a generalized transducing phage able to infect Db11 and this phage will be a valuable tool for functional genomic analysis of the pathogen host.

Bacteriophages↗
PubMed2024

The promise of CRISPR-associated transposons for bacterial functional genomics.

CRISPR-associated transposons (CASTs) are naturally occurring amalgamations of CRISPR-Cas machinery and Tn7-like transposons that direct site-specific integration of transposon DNA via programmable guide RNAs. Although the mechanisms of CAST-based transposition have been well studied at the molecular and structural level, CASTs have yet to be broadly applied to bacterial genome engineering and systematic gene phenotyping (i.e. functional genomics) - likely due to their relatively recent discovery. Here, we describe the function and applications of CASTs, focusing on well-characterized systems, including the type I-F CAST from Vibrio cholerae (VcCAST) and type V-K CAST from Scytonema hofmanni (ShCAST). Further, we discuss the potentially transformative impact of targeted transposition on bacterial functional genomics by proposing genome-scale extensions of existing CAST tools.

DNA Transposable Elements↗
PubMed2005

Cataloging transcription factor and major signaling molecule genes for functional genomic studies in Ciona intestinalis.

The ascidian Ciona intestinalis provides an excellent experimental system for functional genomic studies because (1) its genome has been sequenced, (2) the transcription factor genes and genes for major signal transduction molecules have been extensively screened and annotated on a genome-wide scale using the molecular phylogenetical method, and (3) their embryonic expression profiles have been almost completely determined. However, the entire genetic structure, including the 5' and 3' untranslated regions and the protein-coding regions, of most gene models used in these prior studies is not always supported by cDNA evidence, and thus, these gene models are potentially imprecise. To facilitate functional genomic studies based on precise gene structures, our present study determined 406 cDNA sequences for 357 transcription factor genes and 112 cDNA sequences for 107 signal transduction molecule genes, greatly improving the previous gene models and revealing transcript variants for 44 genes. Considering these data alongside those of previously characterized genes deposited in the DNA Data Bank of Japan/European Molecular Biology Laboratory/GENBANK databases, 95.6% of the catalogued transcription factor genes (373/390) and 98.3% of the catalogued signal transduction molecule genes (117/119) have now been verified by cDNA sequences. Thus, the present study greatly improves the resources available for functional genomic studies in C. intestinalis.

Animals↗
PubMed2002

Functional genomics in reproductive medicine.

The British Fertility Society organised a workshop on Functional Genomics in Reproductive Medicine at the University of Birmingham on 13-14 September 2001. The primary aim was to inform delegates about the power of the technology that has been made available after completion of the sequencing of the human genome, and to stimulate debate about using functional genomics to address both clinical and scientific questions in reproductive medicine. Three specific areas were addressed: proteomics, gene expression and bioinformatics. Although the sophistication and plethora of techniques available were obvious, major limitations in the technology were also discussed. The future promises to be very challenging indeed.

Computational Biology↗