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PubMed2002

Functional genomics: lessons from yeast.

Functional genomics represents a systematic approach to elucidating the function of the novel genes revealed by complete genome sequences. Such an approach should adopt a hierarchical strategy since this will both limit the number of experiments to be performed and permit a closer and closer approximation to the function of any individual gene to be achieved. Moreover, hierarchical analyses have, in their early stages, tremendous integrative power and functional genomics aims at a comprehensive and integrative view of the workings of living cells. The first draft of the human genome sequence has just been produced, and the complete genome sequences of a number of eukaryotic human pathogens (including the parasitic protozoa Plasmodium, Leishmania, and Trypanosoma) will soon be available. However, the most rapid progress in the elucidation of gene function will initially be made using model organisms. Yeast is an excellent eukaryotic model and at least 40% of single-gene determinants of human heritable diseases find homologues in yeast. We have adopted a systematic approach to the functional analysis of the Saccharomyces cerevisiae genome. A number of the approaches for the functional analysis of novel yeast genes are discussed. The different approaches are grouped into four domains: genome, transcriptome, proteome, and metabolome. The utility of genetic, biochemical, and physico-chemical methods for the analysis of these domains is discussed, and the importance of framing precise biological questions, when using these comprehensive analytical methods, is emphasized. Finally, the prospects for elucidating the function of protozoan genes by using the methods pioneered with yeast, and even exploiting Saccharomyces itself, as a surrogate, are explored.

Fungal Proteins↗
PubMed2005

Dissecting asthma using focused transgenic modeling and functional genomics.

BACKGROUND: Asthma functional genomics studies are challenging because it is difficult to relate gene expression changes to specific disease mechanisms or pathophysiologic features. Use of simplified model systems might help to address this problem. One such model is the IL-13/Epi (IL-13-overexpressing transgenic mice with STAT6 expression limited to epithelial cells) focused transgenic mouse, which isolates the effects of a single mediator, IL-13, on a single cell type, the airway epithelial cell. These mice develop airway hyperreactivity and mucus overproduction but not airway inflammation. OBJECTIVE: To identify how effects of IL-13 on airway epithelial cells contribute to gene expression changes in murine asthma models and determine whether similar changes are seen in people with asthma. METHODS: We analyzed gene expression in ovalbumin allergic mice, IL-13-overexpressing mice, and IL-13/Epi mice with microarrays. We analyzed the expression of human orthologues of genes identified in the mouse studies in airway epithelial cells from subjects with asthma and control subjects. RESULTS: In comparison with the other 2 models, IL-13/Epi mice had a remarkably small subset of gene expression changes. Human orthologues of some genes identified as increased in the mouse models were more highly expressed in airway epithelial cells from subjects with asthma than in controls. These included calcium-activated chloride channel 1, 15-lipoxygenase, trefoil factor 2, and intelectin. CONCLUSION: The combination of focused transgenic models, DNA microarray analyses, and translational studies provides a powerful approach for analyzing the contributions of specific mediators and cell types and for focusing attention on a limited number of genes associated with specific pathophysiologic aspects of asthma.

Animals↗
PubMed2001

The use of retroviruses as pharmaceutical tools for target discovery and validation in the field of functional genomics.

Retrovirally mediated functional genomics enables identification of physiologically relevant cellular therapeutic targets. Unique properties of retroviruses make them ideal tools for the introduction of large and diverse libraries of potential genetic effectors to a variety of cell types. The identification and recovery of intracellular library elements responsible for altered disease responses establishes a direct basis for pharmaceutical development. Recent innovations in retroviral infection efficiency and expression control have broadened application of the methodology to include libraries of mutagenized cDNAs, peptides and ribozyme genetic effectors.

Animals↗
PubMed2001

Functional genomic research of alpha 1-adrenoceptors.

The Human Genome Project is now almost completed, and we are about to move into the post-genome sequence era of functional genomics. The advent of genome science has markedly changed the way life science research including pharmacological study is conducted; thus, systematic and integrated 'genome-wide' survey is feasible. The stream of 'Genome-->Transcriptome--> Proteomics' is logical and, in each aspect, approaches for functional genomics are now pursued at a high pace. We have recently developed a standardized technical platform (in various levels, such as transcription, cell and whole animal levels, etc.), and applied these techniques to the study of functional genomics of G-protein-coupled receptors, particularly alpha1-adrenoceptors as a model. Combining the genome information and technology, future pharmacological studies would become the genome-based search and research.

Animals↗
PubMed2006

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↗
PubMed2005

Functional genomics of protein kinases in plants.

Functional genomics has revolutionised the way that scientists approach biological questions, allowing for the comprehensive characterisation of the function of related proteins encoded in a genome. The sequencing of the genome of the model system Arabidopsis thaliana has enabled the beginning of functional genomics and the study of protein kinase families in plants. The large family of genes encoding protein kinases is a primary target of functional genomics studies in plants due to their importance in diverse physiological processes. This paper describes the functional genomics tools used to study the families of protein kinases in Arabidopsis, as well as progress in uncovering the functions of these proteins.

Arabidopsis↗
PubMed2001

Applying functional genomics research to the study of pig reproduction.

Functional genomics is an experimental approach that incorporates genome-wide or system-wide experimentation, expanding the scope of biological investigation from studying single genes to studying potentially all genes at once in a systematic manner. This technology is highly appealing because of its high throughput and relatively low cost. Furthermore, analysis of gene expression using microarrays is likely to be more biologically relevant than the conventional paradigm of reductionism, because it has the potential to uncover new biological connections between genes and biochemical pathways. However, functional genomics is still in its infancy, especially with regard to the study of pig reproduction. Currently, efforts are centred on developing the necessary resources to enable high throughput evaluation and comparison of gene expression. However, it is clear that in the near future functional genomics will be applied on a large scale to study the biology and physiology of reproduction in pigs, and to understand better the complex nature of genetic control over polygenic characteristics, such as ovulation rate and litter size. We can look forward to generating a significant amount of new data on differences in gene expression between genotypes, treatments, or at various temporal and spatial coordinates within a variety of reproductively relevant systems. Along with this capability will be the challenge of collating, analysing and interpreting datasets that are orders of magnitude more extensive and complex than those currently used. Furthermore, integration of functional genomics with traditional genetic approaches and with detailed analysis of the proteome and relevant whole animal phenotypes will be required to make full use of this powerful new experimental paradigm as a beneficial research tool.

Animals↗
PubMed2003

Functional genomics of wood quality and properties.

Genomics promises to enrich the investigations of biology and biochemistry. Current advancements in genomics have major implications for genetic improvement in animals, plants, and microorganisms, and for our understanding of cell growth, development, differentiation, and communication. Significant progress has been made in the understanding of plant genomics in recent years, and the area continues to progress rapidly. Functional genomics offers enormous potential to tree improvement and the understanding of gene expression in this area of science worldwide. In this review we focus on functional genomics of wood quality and properties in trees, mainly based on progresses made in genomics study of Pinus and Populus. The aims of this review are to summarize the current status of functional genomics including: (1) Gene discovery; (2) EST and genomic sequencing; (3) From EST to functional genomics; (4) Approaches to functional analysis; (5) Engineering lignin biosynthesis; (6) Modification of cell wall biogenesis; and (7) Molecular modelling. Functional genomics has been greatly invested worldwide and will be important in identifying candidate genes whose function is critical to all aspects of plant growth, development, differentiation, and defense. Forest biotechnology industry will significantly benefit from the advent of functional genomics of wood quality and properties.

Cell Wall↗
PubMed1998

Functional genomics: probing plant gene function and expression with transposons.

Transposable elements provide a convenient and flexible means to disrupt plant genes, so allowing their function to be assessed. By engineering transposons to carry reporter genes and regulatory signals, the expression of target genes can be monitored and to some extent manipulated. Two strategies for using transposons to assess gene function are outlined here: First, the PCR can be used to identify plants that carry insertions into specific genes from among pools of heavily mutagenized individuals (site-selected transposon mutagenesis). This method requires that high copy transposons be used and that a relatively large number of reactions be performed to identify insertions into genes of interest. Second, a large library of plants, each carrying a unique insertion, can be generated. Each insertion site then can be amplified and sequenced systematically. These two methods have been demonstrated in maize, Arabidopsis, and other plant species, and the relative merits of each are discussed in the context of plant genome research.

Journal Article↗
PubMed2005

Functional genomics and gene expression profiling in sepsis: beyond class prediction.

Functional genomics involving genome-wide expression analyses is rapidly finding applications in clinical medicine. New technologies now permit the simultaneous analysis of mRNA levels for the entire human transcriptome from as few as 1000 cells. This approach is dramatically changing the way we define health and disease, allowing, for the first time, an unbiased view of the global changes in gene expression that are occurring. For the study of trauma biology and sepsis, this technology offers a powerful tool to develop molecular signatures for inflamed tissues and specific cell populations. At present, functional genomics is being used to classify the progress of disease and survival in response to traumatic and burn injury, sepsis and visceral ischemia, and reperfusion injury, as well as to describe patterns of gene expression in response to varying microbial pathogens. As the number of bioinformatics tools increases, functional genomics is beginning to reveal the underlying complexity of the biological response to a variety of inflammatory diseases and is providing new approaches for their exploration. Functional genomics is becoming a standard tool in inflammation research as a means to unravel the basic biological processes.

Animals↗
PubMed1998

Functional Genomics Conference: From Identifying Proteins to Faster Drug Discovery. March 10-11, 1998, Washington DC, USA.

The massive effort to sequence the human, mouse, rat, nematode (Caenorhabditis elegans), fruit fly (Drosophila), zebra fish, yeast (Saccharomyces cerevisiae), fungal (Candida albicans and Aspergillus fumigatus) and several bacterial genomes has produced a flood of sequence data. Of the more than 100,000 human genes and thousands from other organisms, many partial sequences and several completed microbial genomes are available in both public and private databases. However, elucidation of function has been achieved for only a very small portion and an even smaller percentage have been validated as drug targets. Many companies interested in identifying new drug targets also see this bounty of opportunity as a major challenge. The raw sequence data say little about the importance of the gene and nothing about its potential as a target for drug discovery. Since 1994, a new term, 'functional genomics', has entered our lexicon. Functional genomics, which in effect is 'high-throughput biology', was originally focused on understanding gene function by studying the genes of simpler organisms, such as the nematode, C. elegans. As the genes from a number of organisms are highly conserved across species, it is believed that studying these basic systems can yield valuable insights for drug companies interested in targeting therapeutics for the higher organisms. More recently, the approach to functional genomics has expanded to include study of gene function in organisms to be targeted for therapeutic intervention. This new approach was the theme of the Functional Genomics Conference: From Identifying Proteins to Faster Drug Discovery held in Washington DC on March 10 and 11, 1998. The organisers (NMHCC) hoped that the breadth of the conference topics would reflect the complexities of the modern drug discovery process and covered technologies from gene chips, bioinformatics, disease models, protein discovery and expression, target validation, high-throughput screening for genes of unknown function, to integration of the drug discovery process. The two day conference placed emphasis on cutting edge technology solutions and the development of high-throughput tools to address the emerging opportunities in genome-based drug discovery.

Journal Article↗
PubMed1999

Functional genomics and the discovery of new drug targets.

Functional genomics can be defined as the search for the physiological role of a gene for which only its primary sequence is known. One example of a successful functional genomics adventure is the search for the natural ligands of orphan G protein-coupled receptors (GPCRs). GPCRs are proteins containing 7 hydrophobic domains that are the recognition sites of neurotransmitters and neuropeptides. Although many of these have been shown to interact with known natural ligands, several bind ligands that 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. We describe that the application of this strategy has already led to the identification of 4 new neuropeptides and report on what has been learned about these neuropeptides. We finally discuss the importance of the application of the orphan receptor strategy to the development of novel drugs.

Animals↗
PubMed2006

Embryonic stem cell technology: applications and uses in functional genomic studies.

In this postgenomic era, the role of functional genomics is becoming increasingly important and playing a key role in this field are embryonic stem cells. These cells are capable of proliferating indefinitely in a pluripotent state and have the potential to differentiate into all somatic cell types. Through a combination of their ease of genetic manipulation and directed in vitro differentiation they have proved themselves to be an extremely valuable tool in functional genomics. Here, some of their applications in functional genomic studies are discussed.

Animals↗
PubMed2004

Functional genomics approaches in arthritis.

The post-genomic era of functional genomics and target validation will allow us to narrow the bridge between clinically correlative data and causative data for complex diseases, such as arthritis, for which the etiological agent remains elusive. The availability of human and other annotated genome sequences, and parallel developments of new technologies that allow analysis of minute amounts of human and animal cells (peripheral blood cells and infiltrating cells) and tissues (synovium and cartilage) under different pathophysiological conditions, has facilitated high-throughput gene mining approaches that can generate vast amounts of clinically correlative data. Characterizing some of the correlative/causative genes will require reverting to the hypothesis-driven, low throughput method of complementary experimental biology using genomic approaches as a tool. This will include in silico gene expression arrays, genome-wide scans, comparative genomics using various animal models (such as rodents and zebrafish), bioinformatics and a team of well trained translational scientists and physicians. For the first time, the "genomic tools" will allow us to analyze small amounts of surgical samples (such as needle biopsies) and clinical samples in the context of the whole genome. Preliminary genomic analysis in osteoarthritis has already resurrected the debate on the semantic issues in the definition of inflammation. Further analyses will not only facilitate the development of unbiased hypotheses at the molecular level, but also assist us in the identification and characterization of novel targets and disease markers for pharmacological intervention, gene therapy, and diagnosis.

Animals↗
PubMed2005

[Ac/Ds tagging system and functional genomics in rice].

With the completion of the rice genome sequence in 2002, the study on functional genomics in rice has become a major task. Establishment of rice mutant library is an essential approach for rice functional genomics study. At present, utilizing maize transposable element Ac/Ds (Activator/Dissociation) is a promising method to construct insertional mutagenesis library of rice. Ac/Ds tagging system has received extensive application in rice during the past several years, but it is still confronted with practical problems. In this paper, constructing rice insertional mutagenesis library using Ac/Ds-tagging system and transpositional behaviors of an Ac/Ds-tagging system, difficulties and advantages are reviewed. The research advances and challenge in rice functional genomics study using Ac/Ds tagging system are also discussed and summarized in the paper.

DNA Transposable Elements↗
PubMed2006

A factor analysis model for functional genomics.

BACKGROUND: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While biologically plausible, this is both statistically and computationally challenging. Typical approaches are computationally expensive and ignore correlations among expression profiles and functional categories. RESULTS: We propose a factor analysis model (FAM) for functional genomics and give a two-step algorithm, using genome-wide expression data for yeast and a subset of Gene-Ontology Biological Process functional annotations. We show that the predictive performance of our method is comparable to the current best approach while our total computation time was faster by a factor of 4000. We discuss the unique challenges in performance evaluation of algorithms used for genome-wide functions genomics. Finally, we discuss extensions to our method that can incorporate the inherent correlation structure of the functional categories to further improve predictive performance. CONCLUSION: Our factor analysis model is a computationally efficient technique for functional genomics and provides a clear and unified statistical framework with potential for incorporating important gene ontology information to improve predictions.

Algorithms↗