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Establishment of an enhancer trap system with Ds and GUS for functional genomics in rice.

To develop an efficient means of enhancer trapping, a two-element system employing Ds and an Ac transposase (AcTPase) gene was tested in rice. We generated 263 transgenic rice plants, each of which harboured the maize transposable element Ds together with a GUS coding sequence under the control of a minimal promoter (Ds-GUS), and a gene that confers resistance to the herbicide chlorsulfuron. Among the 263 lines generated, 42 were shown to have a single copy of the Ds-GUS element. Four single-copy lines were crossed with each of six transgenic plants that carried the AcTPase gene. Excision of the Ds-GUS in leaves of F1 plants was detected in eight combinations out of seventeen examined. The frequency of transposition of Ds-GUS in germ cells in the F1 plants was examined using 10,524 F2 plants, and 675 (6%) were judged to be transposants. Their frequencies differed among F1 plants depending on the AcTPase x Ds-GUS cross considered, and also among panicles on the same F1 plant. This suggests that Ds-GUS tends to transpose during panicle development. Southern analysis with a GUS probe showed different band patterns among transposants derived from different panicles. Therefore, the transposants derived from different panicles must have arisen independently. Transposants showing tissue-specific GUS activities were obtained, and enhancers thus trapped by the Ds-GUS element were identified. These results demonstrate that the system is suitable for the isolation of large numbers of independent Ds-GUS transposants, and for the identification of various tissue-specific enhancers. The Ds-GUS lines generated in this study offer a potentially powerful tool for studies on the functional genomics of rice.

Blotting, Southern↗

Functional genomics may allow accurate categorization of the benzimidazole fungicide benomyl: lack of ability to act via steroid-receptor-mediated mechanisms.

Although benomyl and its metabolite carbendazim have been shown to adversely affect male reproduction, the mechanisms of action do not appear to involve the endocrine system. However, few studies have been conducted using currently proposed tests specifically focused on endocrine disruption. Here, potential estrogen- and androgen-mediated activity of benomyl was therefore investigated in vitro and in vivo. Benomyl and carbendazim proved negative for agonistic and antagonistic activity in reporter gene assays for the human estrogen receptor alpha and androgen receptor. In uterotrophic and Hershberger assays using Crj:CD(SD)IGS rats, benomyl (100, 300 or 1000 mg/kg/day, p.o., N = 6) did not exert agonistic effects. However, the highest dose decreased uterine weights in the uterotrophic assay, and decreased weights of some androgen-related tissues of castrated rats receiving a testosterone propionate (TP, 0.2 mg/kg) injection in the Hershberger assay; the effects were less severe than those with p,p'-DDE (100 mg/kg/day). When 4 mg/kg/day of TP was injected, decrease of organ weights due to benomyl was attenuated but still observed. Thus, its influence in some tissues was more potent than that of p,p'-DDE. Benomyl had no apparent effects on serum androgen levels. Microarray analysis of the gene expression profile in the ventral prostate of TP-injected castrated rats treated with benomyl indicated clear differences from the patterns observed with p,p'-DDE and flutamide. Taken together, these findings suggest the decreased organ weights observed in vivo to be caused by mechanisms that are not steroid-receptor-mediated, such as interfering with assembly of microtubules by benomyl. The study furthermore suggests that functional genomics may provide a reliable evidence for accurate categorization of test chemicals.

Administration, Oral↗

A Populus EST resource for plant functional genomics.

Trees present a life form of paramount importance for terrestrial ecosystems and human societies because of their ecological structure and physiological function and provision of energy and industrial materials. The genus Populus is the internationally accepted model for molecular tree biology. We have analyzed 102,019 Populus ESTs that clustered into 11,885 clusters and 12,759 singletons. We also provide >4,000 assembled full clone sequences to serve as a basis for the upcoming annotation of the Populus genome sequence. A public web-based EST database (POPULUSDB) provides digital expression profiles for 18 tissues that comprise the majority of differentiated organs. The coding content of Populus and Arabidopsis genomes shows very high similarity, indicating that differences between these annual and perennial angiosperm life forms result primarily from differences in gene regulation. The high similarity between Populus and Arabidopsis will allow studies of Populus to directly benefit from the detailed functional genomic information generated for Arabidopsis, enabling detailed insights into tree development and adaptation. These data will also valuable for functional genomic efforts in Arabidopsis.

Ecosystem↗

Trap a gene and find out its function: toward functional genomics in Drosophila.

Many declared aims of the genome projects have been achieved. The total genomic sequences of several relatively noncomplex/complex organisms (such as E. coli, yeast, Caenorhabditis, Drosophila) are being determined, and the nucleotide sequencing of the entire human genome will be complete in the near future. However, this achievement is not the end of the road but rather the first step toward the functional understanding of the genome of humans and other organisms. The determined linear nucleotide sequences remain only lists of A, C, G and T, unless they are given functional significance. The coding sequences of genes can be identified in a relatively reliable manner by computational methods, but the exact function of their protein products can rarely be determined without obtaining much additional information, e.g., by biochemical or cell biological methods. Thus, following sequencing, the next step must be to assign functions to the identified genes. The final goal of genome research today may look futuristic, but the knowledge of the function of every single gene and the interactions between them will finally allow us to understand the development and functioning of an organism as a whole. Gene-trapping methodology is a powerful strategy for cloning and identifying functional genes, as it marks a gene with a tag and simultaneously generates a corresponding genetic variation for that particular locus. Therefore, gene trapping is an extremely useful tool for functional genomics, establishing a correlation between the physical and genetic maps of the genome. The relative simplicity of its genome and the availability of huge bodies of genetic and molecular information make Drosophila melanogaster one of the most important model organisms. Its genome will serve as a "reference" for the in-depth analysis of the organization of more complex eukaryotic genomes. Multifaceted approaches to Drosophila functional genomics and the dual-tagging gene trap system newly developed for functional analysis of Drosophila genes are discussed in this review.

Animals↗

An expanded role for microbial physiology in metabolic engineering and functional genomics: moving towards systems biology.

Microbial physiology has traditionally played a very important role in both fundamental research and in industrial applications of microorganisms. The classical approach in microbial physiology has been to analyze the role of individual components (genes or proteins) in the overall cell function. With the progress in molecular biology it has become possible to optimize industrial fermentations through introduction of directed genetic modification - an approach referred to as metabolic engineering. Furthermore, as a consequence of large sequencing programs the complete genomic sequence has become available for an increasing number of microorganisms. This has resulted in substantial research efforts in assigning function to all identified open reading frames - referred to as functional genomics. In both metabolic engineering and functional genomics there is a trend towards application of a macroscopic view on cell function, and this leads to an expanded role of the classical approach applied in microbial physiology. With the increased understanding of the molecular mechanisms it is envisaged that in the future it will be possible to describe the interaction between all the components in the system (the cell), also at the quantitative level, and this is the goal of systems biology. Clearly this will have a significant impact on microbial physiology as well as on metabolic engineering.

Aspergillus↗

Functional genomics in Arabidopsis: large-scale insertional mutagenesis complements the genome sequencing project.

The ultimate goal of genome research on the model flowering plant Arabidopsis thaliana is the identification of all of the genes and understanding their functions. A major step towards this goal, the genome sequencing project, is nearing completion; however, functional studies of newly discovered genes have not yet kept up to this pace. Recent progress in large-scale insertional mutagenesis opens new possibilities for functional genomics in Arabidopsis. The number of T-DNA and transposon insertion lines from different laboratories will soon represent insertions into most Arabidopsis genes. Vast resources of gene knockouts are becoming available that can be subjected to different types of reverse genetics screens to deduce the functions of the sequenced genes.

Arabidopsis↗

Functional genomics of histone modification and non-histone chromosomal proteins using the polytene chromosomes of Drosophila.

Knowing the genomic distribution of chromosomal proteins and of histone modifications provides essential insight into function. The giant polytene chromosomes of the Drosophila larval salivary glands provide a high-resolution genomic map with a resolution exceeded only by chromatin immunoprecipitation. Immunofluorescence localization of chromosomal proteins and specific post-translational modifications of histones is a simple and rapid tool for the functional genomics of chromosomal proteins.

Animals↗

Rapid expression of functional genomic libraries.

Genomic-scale analysis of protein function is currently limited by the ability to rapidly express the enormous diversity of protein targets in their active form. We describe a method to construct transcriptionally active expression templates (ETs) in parallel using a single PCR step wherein the overlap-extension reaction for addition of transcription regulatory elements is separated from the amplification of the full-length product by using a GC-rich single primer. Over 90% of 55 diverse genomic targets were extended with T7 regulatory elements to form ETs in high yield and purity. The unpurified ETs directed protein expression using a cell-free protein synthesis (CFPS) system supplemented with cofactors and metal ions to activate a variety of enzymes. Higher activities were obtained in the modified CFPS reactions compared to standard reaction conditions. Protein purification was avoided because the expressed enzyme activity was significantly greater than the background activity associated with the cell extract. These improvements in the parallel synthesis of linear ETs combined with enhanced in vitro enzyme activation help to make CFPS systems more attractive platforms for high-throughput evaluation of protein function.

Bacteriophage T7↗

Metabolic database systems for the analysis of genome-wide function.

Genome sequencing projects provide an inventory of molecular components for a wide variety of organisms. Metabolic databases integrate these functional descriptions of individual modules into a higher-level characterization of cellular metabolism. This article reviews efforts related to the development of metabolic databases and discusses how such systems have aided the delineation of genome properties. We illustrate the design features of metabolic databases and discuss the challenges facing metabolic as well as databases of other functional type.

Database Management Systems↗

Functional genomics of fibroblasts.

PURPOSE OF REVIEW: Successful analysis of the pathophysiology of rheumatoid arthritis requires the functional understanding of interactions between different cell types and the cell matrix, intracellular signaling pathways, as well as between cartilage, bone, and synovium in rheumatoid arthritis. During the review period, molecular biology has provided and used a growing number of tools to screen the genome such as gene and protein chips, haplotype analysis, and single nucleotide polymorphism analysis, resulting in various novel findings with considerable impact on the overall understanding of rheumatoid arthritis. RECENT FINDINGS: Key issues that have been addressed and elucidated by numerous research groups are the regulation and modulation of synovial fibroblast metabolism and activation by proinflammatory cytokines and chemokines. In addition, examination of adhesion processes and neoangiogenesis has revealed new insights into the interaction network between rheumatoid synovial fibroblasts and the surrounding matrix and cells. Finally, a more detailed view of activation of these fibroblasts has been obtained by analysis of the molecular balance between cellular activation and regulation of apoptosis. SUMMARY: Although high throughput molecular analysis methods provided an ample amount of novel data, it needs to be stressed that a one-method approach of gene expression (eg, by array analysis) is not sufficient to validate the gene/gene product as a new therapeutic target. Therefore, the next steps are the so-called functional genomics or functionomics, which intend to reveal relations between the obtained data and to unveil their interactions for a better understanding of the pathogenesis and the mechanisms that are operative in rheumatoid arthritis.

Apoptosis↗

EucaMOD: a comprehensive multi-omics database for functional genomics research and molecular breeding of fast-growing eucalyptus trees.

Eucalyptus, one of the most widely planted plantation tree species globally, is primarily found in tropical and subtropical regions and contributes significantly to economic and social benefits. With advances in sequencing technologies, there is an increasing demand for the systematic analysis of multi-omics data among Eucalyptus species to enhance genetic breeding efforts. Although several early genomic databases have been established for eucalyptus, they have not been updated in a timely manner and lack recent multi-omics data, rendering them insufficient for current research needs. To address this gap, we developed the eucalyptus multi-omics database (EucaMOD, http://eucalyptusggd.net/eucamod), a comprehensive resource for cross-omics studies. In this study, we functionally annotated 45 eucalyptus genomes and structurally annotated 15, conducting comparative genomics and pan-proteomics analyses across all genomes. Additionally, we analyzed eucalyptus transcriptome, epigenome, and variome data through standardized workflows, enabling the in-depth mining and reanalysis of multi-omics datasets. EucaMOD is the most comprehensive multi-omics database for eucalyptus to date and includes data from 45 genomes (39 species), 870 mRNA-seq samples, 17 miRNA-seq samples, 52 epigenomic datasets (histone modifications and transcription factor binding), and genetic variation data from 1219 samples. To support functional genomics and molecular breeding research, the database is organized into the following 11 modules: Home, Species, Genomics, Comparative genomics, Pan-proteomics, Transcriptomics, Epigenetics, Variomics, Tools, Download, and Help. EucaMOD also offers online analysis tools for data mining, providing free public services to aid eucalyptus gene function and genetic engineering studies.

Eucalyptus↗

Impact of transgenic technologies on functional genomics.

Gene transfer technologies in mammals are the focus of renewed interest owing to the recent emphasis on analyzing gene function in the postgenomic era. Three important developments in this area include transgenics, gene targeting and nuclear transfer or animal cloning. These technological innovations have enhanced our ability to analyze gene function at the level of the whole organism and have provided the means to modify gene expression. This review discusses the origins and current status of transgenic technologies. Various applications and technologies including chromosome engineering, stem cells, gene traps and modification of livestock are presented. The impact of mouse technologies and genomics on functional analyses is also discussed.

Animals↗

Development of comprehensive functional genomic screens to identify novel mediators of osteoarthritis.

OBJECTIVE: The aim of this study was to develop high-throughput assays for the analysis of major chondrocyte functions that are important in osteoarthritis (OA) pathogenesis and methods for high-level gene expression and analysis in primary human chondrocytes. METHODS: In the first approach, complementary DNA (cDNA) libraries were constructed from OA cartilage RNA and full-length clones were selected. These cDNAs were transferred into a retroviral vector using Gateway Technology. Full-length clones were over-expressed in human articular chondrocytes (HAC) by retroviral-mediated gene transfer. The induction of OA-associated markers, including aggrecanase-1 (Agg-1), matrix metalloproteinase-13 (MMP-13), inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), collagen IIA and collagen X was measured by quantitative real-time polymerase chain reaction (QPCR). Induction of a marker gene was verified by independent isolation of 2-3 clones per gene, re-transfection followed by QPCR as well as nucleotide sequencing. In the second approach, whole cDNA libraries were transduced into chondrocytes and screened for chondrocyte cluster formation in three-dimensional agarose cultures. RESULTS: Using green fluorescent protein (eGFP) as a marker gene, it was shown that the retroviral method has a transduction efficiency of >90%. A total of 40 verified hits were identified in the QPCR screen. The first set of 19 hits coordinately induced iNOS, COX-2, Agg-1 and MMP-13. The most potent of these genes were the tyrosine kinases Axl and Tyro-3, receptor interacting kinase-2 (RIPK2), tumor necrosis factor receptor 1A (TNFR1A), fibroblast growth factor (FGF) and its receptor FGFR, MUS81 endonuclease and Sentrin/SUMO-specific protease 3. The second set of seven hits induced both Agg-1 and MMP-13 but none of the other markers. Five of these seven genes regulate the phosphoinositide-3-kinase pathway. The most potently induced OA marker was iNOS. This marker was induced 20-500 fold by seven genes. Collagen IIA was also induced by seven genes, the most potent being transforming growth factor beta (TGFbeta)-stimulated protein TSC22, vascular endothelial growth factor (VEGF) and splicing factor 3a. This screening assay did not identify inducers of collagen X. The second chondrocyte cluster formation screen identified 14 verified hits. Most of the genes inducing cluster formation were kinases. Additional genes had not been previously known to regulate chondrocyte cluster formation or any other chondrocyte function. CONCLUSIONS: The methods developed in this study can be applied to screen for genes capable of inducing an OA-like phenotype in chondrocytes on a genome-wide scale and identify novel mediators of OA pathogenesis. Thus, coordinated functional genomic approaches can be used to delineate key genes and pathways activated in complex human diseases such as OA.

Cartilage, Articular↗

Functional genomics of ageing.

Ageing is the most complex phenotype currently known, since it becomes manifest in all organs and tissues, affects an organism's entire physiology, impacts function at all levels and increases susceptibility to all major chronic diseases. Insight into the molecular and cellular targets of the ageing process would offer the unprecedented opportunity to postpone and prevent some, if not all, of its deteriorative aspects by preventive and therapeutic means. Thus far, our understanding of the causes of ageing is limited. To an important extent this is due to our inability, in the past, to study ageing systems. Instead, ample information has been gathered about individual cellular components at various ages, but this has not allowed a clear understanding of the integrated genomic circuits that control mechanisms of ageing, survival and stress responses. With the emergence of functional genomics, we finally have the opportunity to study ageing in a comprehensive manner, as a function of the dynamic network of genes that determines the physiology of an individual organism over time.

Aging↗

Functional genomics by mass spectrometry.

Systematic analysis of the function of genes can take place at the oligonucleotide or protein level. The latter has the advantage of being closest to function, since it is proteins that perform most of the reactions necessary for the cell. For most protein based ('proteomic') approaches to gene function, mass spectrometry is the method of choice. Mass spectrometry can now identify proteins with very high sensitivity and medium to high throughput. New instrumentation for the analysis of the proteome has been developed including a MALDI hybrid quadrupole time of flight instrument which combines advantages of the mass finger printing and peptide sequencing methods for protein identification. New approaches include the isotopic labeling of proteins to obtain accurate quantitative data by mass spectrometry, methods to analyze peptides derived from crude protein mixtures and approaches to analyze large numbers of intact proteins by mass spectrometry directly. Examples from this laboratory illustrate biological problem solving by modern mass spectrometric techniques. These include the analysis of the structure and function of the nucleolus and the analysis of signaling complexes.

Genome↗

Impact of functional genomics and proteomics on radionuclide imaging.

The assessment of gene function following the completion of human genome sequencing may be performed using radionuclide imaging procedures. These procedures are needed for the evaluation of genetically manipulated animals or newly designed biomolecules, which requires a thorough understanding of physiology, biochemistry, and pharmacology. The experimental approaches will involve many new technologies, including in vivo imaging with single photon emission computed tomography and positron emission tomography. Nuclear medicine procedures may be applied for the determination of gene function and regulation using established and new tracers, or using in vivo reporter genes, such as genes encoding enzymes, receptors, antigens, or transporters. Visualization of in vivo reporter gene expression can be performed using radiolabeled substrates, antibodies, or ligands. Combinations of specific promoters and in vivo reporter genes may deliver information about the regulation of the corresponding genes. Furthermore, protein-protein interactions and activation of signal transduction pathways may be visualized noninvasively. The role of radiolabeled antisense molecules for the analysis of messenger ribonucleic acid (RNA) content has to be investigated. However, possible applications are therapeutic intervention using triplex oligonucleotides with therapeutic isotopes, which can be brought near to specific deoxyribonucleic acid sequences to induce deoxyribonucleic acid strand breaks at selected loci. Imaging of labeled siRNA makes sense if these are used for therapeutic purposes to assess the delivery of these new drugs to their target tissue. Pharmacogenomics will identify new surrogate markers for therapy monitoring, which may represent potential new tracers for imaging. Drug distribution studies for new therapeutic biomolecules are needed at least during preclinical stages of drug development. New treatment modalities, such as gene therapy with suicide genes, will need procedures for therapy planning and monitoring. Finally, new biomolecules will be developed by bioengineering methods, which may be used for the isotope-based diagnosis and treatment of disease.

Animals↗