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Human aromatase: gene resequencing and functional genomics.

Aromatase [cytochrome P450 19 (CYP19)] is a critical enzyme for estrogen biosynthesis, and aromatase inhibitors are of increasing importance in the treatment of breast cancer. We set out to identify and characterize genetic polymorphisms in the aromatase gene, CYP19, as a step toward pharmacogenomic studies of aromatase inhibitors. Specifically, we "resequenced" all coding exons, all upstream untranslated exons plus their presumed core promoter regions, all exon-intron splice junctions, and a portion of the 3'-untranslated region of CYP19 using 240 DNA samples from four ethnic groups. Eighty-eight polymorphisms were identified, resulting in 44 haplotypes. Functional genomic studies were done with the four nonsynonymous coding single nucleotide polymorphisms (cSNP) that we observed, two of which were novel. Those cSNPs altered the following amino acids: Trp39Arg, Thr201Met, Arg264Cys, and Met364Thr. The Cys264, Thr364, and double variant Arg39Cys264 allozymes showed significant decreases in levels of activity and immunoreactive protein when compared with the wild-type (WT) enzyme after transient expression in COS-1 cells. A slight decrease in protein level was also observed for the Arg39 allozyme, whereas Met201 displayed no significant changes in either activity or protein level when compared with the WT enzyme. There was also a 4-fold increase in apparent K(m) value for Thr364 with androstenedione as substrate. Of the recombinant allozymes, only the double mutant (Arg39Cys264) displayed a significant change from the WT enzyme in inhibitor constant for the aromatase inhibitors exemestane and letrozole. These observations indicate that genetic variation in CYP19 might contribute to variation in the pathophysiology of estrogen-dependent disease.

Alleles↗

Functional genomic relationships in HIV-1 disease revealed by gene-expression profiling of primary human peripheral blood mononuclear cells.

BACKGROUND: An assessment of biomarkers from an analysis of human peripheral blood mononuclear cell gene-expression profiles was made, to acquire an understanding of transcriptional changes associated with human immunodeficiency virus type 1 (HIV-1) infection in vivo. METHODS: Supervised learning algorithms were used to create signature gene sets that could be used to distinguish seropositive from seronegative samples and delineate changes in disease status during the early stages of infection. Bioinformatic tools were used to classify persons and to functionally characterize groups of differentially expressed genes, to elucidate the impact of viral infection on host cell gene-expression patterns. RESULTS: A 10-gene signature set that could be used to accurately determine the HIV-1 serostatus was identified. A 6-gene signature set was used to distinguish seropositive persons exhibiting differential changes in CD4(+) T cell counts, with 93% accuracy. Functional classification of differentially expressed genes in HIV-1 indicated a preponderance of down-regulated genes with functions related to the immune response and apoptosis. Hierarchical cluster analysis in persons whose CD4(+) T cell counts increased, compared with that in persons whose CD4(+) T cell counts decreased, was characterized by the down-regulation of genes associated with apoptosis, mitochondrial function, protein biosynthesis, and RNA binding. CONCLUSIONS: Gene-expression profile analysis of a complex infectious virus, such as HIV-1, may be useful to elucidate the functional genomic relationships associated with viral infection.

CD4-Positive T-Lymphocytes↗

[Pulmonary hypertension: pathophysiology, genetics and functional genomics].

Novel discoveries of the genetic basis of pulmonary hypertension have recently inspired a whole new area of research in pulmonary medicine. The finding that germ-line mutations in the BMPR2 locus, encoding a transmembrane receptor of the TGF beta superfamily, are the cause for familial and partly idiopathic pulmonary arterial hypertension has provided new clues for our understanding of this complex, yet highly localized disease. The TGF beta superfamily comprises more than 40 different growth and differentiation factors essential in the control of proliferation and differentiation of most cell types. In this review, we summarize the novel genetic and functional genomic findings to provide an outlook for the understanding of this disease.

Bone Morphogenetic Protein Receptors, Type II↗

Comparative methods for the analysis of gene-expression evolution: an example using yeast functional genomic data.

Understanding the evolution of gene function is a primary challenge of modern evolutionary biology. Despite an expanding database from genomic and developmental studies, we are lacking quantitative methods for analyzing the evolution of some important measures of gene function, such as gene-expression patterns. Here, we introduce phylogenetic comparative methods to compare different models of gene-expression evolution in a maximum-likelihood framework. We find that expression of duplicated genes has evolved according to a nonphylogenetic model, where closely related genes are no more likely than more distantly related genes to share common expression patterns. These results are consistent with previous studies that found rapid evolution of gene expression during the history of yeast. The comparative methods presented here are general enough to test a wide range of evolutionary hypotheses using genomic-scale data from any organism.

Evolution, Molecular↗

Malaria vaccines: using models of immunity and functional genomics tools to accelerate the development of vaccines against Plasmodium falciparum.

Naturally acquired immunity and immunity acquired after immunization with attenuated parasites indicate that a vaccine against malaria is feasible. Several obstacles have stymied malaria vaccine development, among them our poor understanding of protective immunity and technical difficulties for studying gene and protein expression in the Plasmodium falciparum parasite. Pregnancy malaria offers a model approach for vaccine development: recent findings have elucidated the basis for disease pathogenesis and protective immunity in this syndrome, and this understanding has focused the effort to identify the optimal antigens for a pregnancy malaria vaccine. In parallel, functional genomics tools are overcoming several of the obstacles for studying protein expression in the malaria parasite, vastly accelerating the pace for antigen discovery. Together, these conceptual and technological advances allow a rational approach to vaccine antigen selection, in which a finite number of antigens are selected from the entire genome by merit of the expression patterns and specific features. These candidate antigens are then subjected to detailed studies according to criteria established by the understanding of pathogenesis and protective immunity, to identify the optimal antigens for inclusion in subunit vaccines.

Animals↗

Functional genomics of social recognition.

Although various types of group living are widespread in mammals, including humans, the study of the hormonal and genetic underpinnings of nonsexual social behaviour, is in its infancy compared to the analysis of sexual behaviour mechanisms. Oxytocin, vasopressin and gonadal hormones certainly play an important role. Social recognition, where animals identify and recognize other individual conspecifics, is a crucial prerequisite for the occurrence of a wide range of social behaviours. Social recognition is also important for coping with one major cost of life in a group: the increased risk of exposure to parasites and infection. We review recent functional genomic studies on the involvement of oxytocin and oestrogen-receptor genes in the regulation of social recognition in mice and in the ecologically relevant context of parasite recognition and avoidance. Based on quantitative studies of social recognition with gene-knockout mice and with antisense DNA, we propose a four-gene micronet contributing to social recognition. This micronet involves the genes coding for oestrogen receptors alpha (ER-alpha), beta (ER-beta), oxytocin and the oxytocin receptor. In this model, circulating oestrogens promote transcription of (i) oxytocin in the paraventricular nucleus of the hypothalamus through ER-beta and (ii) oxytocin receptor in the amygdala through ER-alpha. This model forms the core around which increasingly complex genetic, hormonal and neural interactions associated with social behaviours and recognition can be organized.

Animals↗

Functional genomics analysis of low concentration of ethanol in human hepatocellular carcinoma (HepG2) cells. Role of genes involved in transcriptional and translational processes.

We previously found that ethanol at millimolar level (1 mM) activates the expression of transcription factors with subsequent regulation of apoptotic genes in human hepatocellular carcinoma (HCC) HepG2 cells. However, the role of ethanol on the expression of genes implicated in transcriptional and translational processes remains unknown. Therefore, the aim of this study was to characterize the effect of low concentration of ethanol on gene expression profiling in HepG2 cells using cDNA microarrays with especial interest in genes with transcriptional and translational function. The gene expression pattern observed in the ethanol-treated HepG2 cells revealed a relatively similar pattern to that found in the untreated control cells. The pairwise comparison analysis demonstrated four significantly up-regulated (COBRA1, ITGB4, STAU2, and HMGN3) genes and one down-regulated (ANK3) gene. All these genes exert their function on transcriptional and translational processes and until now none of these genes have been associated with ethanol. This functional genomic analysis demonstrates the reported interaction between ethanol and ethanol-regulated genes. Moreover, it confirms the relationship between ethanol-regulated genes and various signaling pathways associated with ethanol-induced apoptosis. The data presented in this study represents an important contribution toward the understanding of the molecular mechanisms of ethanol at low concentration in HepG2 cells, a HCC-derived cell line.

Carcinoma, Hepatocellular↗

A strategy for investigating the CYP superfamily using targeted antibodies is a paradigm for functional genomic studies.

In this review we describe the use of targeted antibodies developed to facilitate studies on the expression of P450 proteins. The challenge of producing specific antibodies that distinguish between often highly related P450 proteins has led to the development of methods of antibody production to meet this need. Targeting antibodies toward the C terminus of P450 proteins has been found to be a particularly successful approach that is both rapid and efficient at producing specifically binding antibodies. Recent advances in genomic sequencing and proteomics now allow ready identification of expressed proteins. The levels and distributions of these proteins may be determined using antibody-based methods. However, for each protein to be studied, a unique antibody will be required. Consequently, some means of producing large numbers of well defined antibodies is needed. In this context, the potential of extending the approach used to produce specific antibodies against P450 proteins to the wider field of functional genomics is discussed.

Animals↗

Versatile use of oriC plasmids for functional genomics of Mycoplasma capricolum subsp. capricolum.

Replicative oriC plasmids were recently developed for several mollicutes, including three Mycoplasma species belonging to the mycoides cluster that are responsible for bovine and caprine diseases: Mycoplasma mycoides subsp. mycoides small-colony type, Mycoplasma mycoides subsp. mycoides large-colony type, and Mycoplasma capricolum subsp. capricolum. In this study, oriC plasmids were evaluated in M. capricolum subsp. capricolum as genetic tools for (i) expression of heterologous proteins and (ii) gene inactivation by homologous recombination. The reporter gene lacZ, encoding beta-galactosidase, and the gene encoding spiralin, an abundant surface lipoprotein of the related mollicute Spiroplasma citri, were successfully expressed. Functional Escherichia coli beta-galactosidase was detected in transformed Mycoplasma capricolum subsp. capricolum cells despite noticeable codon usage differences. The expression of spiralin in M. capricolum subsp. capricolum was assessed by colony and Western blotting. Accessibility of this protein at the cell surface and its partition into the Triton X-114 detergent phase suggest a correct maturation of the spiralin precursor. The expression of a heterologous lipoprotein in a mycoplasma raises potentially interesting applications, e.g., the use of these bacteria as live vaccines. Targeted inactivation of gene lppA encoding lipoprotein A was achieved in M. capricolum subsp. capricolum with plasmids harboring a replication origin derived from S. citri. Our results suggest that the selection of the infrequent events of homologous recombination could be enhanced by the use of oriC plasmids derived from related mollicute species. Mycoplasma gene inactivation opens the way to functional genomics in a group of bacteria for which a large wealth of genome data are already available and steadily growing.

Bacterial Outer Membrane Proteins↗

The functional genomic response of developing embryonic submandibular glands to NF-kappa B inhibition.

BACKGROUND: The proper balance between epithelial cell proliferation, quiescence, and apoptosis during development is mediated by the specific temporal and spatial appearance of transcription factors, growth factors, cytokines, caspases, etc. Since our prior studies suggest the importance of transcription factor NF-kappaB during embryonic submandibular salivary gland (SMG) development, we attempted to delineate the emergent dynamics of a cognate signaling network by studying the molecular patterns and phenotypic outcomes of interrupted NF-kappaB signaling in embryonic SMG explants. RESULTS: SN50-mediated inhibition of NF-kappaB nuclear translocation in E15 SMG explants cultured for 2 days results in a highly significant increase in apoptosis and decrease in cell proliferation. Probabilistic Neural Network (PNN) analyses of transcriptomic and proteomic assays identify specific transcripts and proteins with altered expression that best discriminate control from SN50-treated SMGs. These include PCNA, GR, BMP1, BMP3b, Chk1, Caspase 6, E2F1, c-Raf, ERK1/2 and JNK-1, as well as several others of lesser importance. Increased expression of signaling pathway components is not necessarily probative of pathway activity; however, as confirmation we found a significant increase in activated (phosphorylated/cleaved) ERK 1/2, Caspase 3, and PARP in SN50-treated explants. This increased activity of proapoptotic (caspase3/PARP) and compensatory antiapoptotic (ERK1/2) pathways is consistent with the dramatic cell death seen in SN50-treated SMGs. CONCLUSIONS: Our morphological and functional genomic analyses indicate that the primary and secondary effects of NF-kappaB-mediated transcription are critical to embryonic SMG developmental homeostasis. Relative to understanding complex genetic networks and organogenesis, our results illustrate the importance of evaluating the gene, protein, and activated protein expression of multiple components from multiple pathways within broad functional categories.

Animals↗

Agrobacterium rhizogenes transformation of the Phaseolus spp.: a tool for functional genomics.

A fast, reproducible, and efficient transformation procedure employing Agrobacterium rhizogenes was developed for Phaseolus vulgaris L. wild accessions, landraces, and cultivars and for three other species belonging to the genus Phaseolus: P. coccineus, P. lunatus, and P. acutifolius. Induced hairy roots are robust and grow quickly. The transformation frequency is between 75 and 90% based on the 35-S promoter-driven green fluorescent protein and beta-glucuronidase expression reporter constructs. When inoculated with Rhizobium tropici, transgenic roots induce normal determinate nodules that fix nitrogen as efficiently as inoculated standard roots. The A. rhizogenes-induced hairy root transformation in the genus Phaseolus sets the foundation for functional genomics programs focused on root physiology, root metabolism, and root-microbe interactions.

Blotting, Southern↗

Functional genomics and the development of pathogenesis-targeted therapies for Kaposi's sarcoma.

Kaposi's sarcoma (KS) is a multifocal angioproliferative disorder affecting the skin, mucosa and viscera of individuals infected with human herpesvirus-8 (HHV-8; also Kaposi's sarcoma-associated herpesvirus [KSHV]). KS is the most common neoplasm in AIDS patients; the clinical outcome of AIDS-KS is significantly improved by highly active antiretroviral therapy (HAART). However, in Africa, where the severest manifestations of KS occur, there is limited access to these and other effective but expensive drugs. Here we present a review of current efforts to identify novel therapeutic targets for the treatment of KS using functional genomics, with recommendations regarding the development of economically feasible treatments for use in Africa.

Antineoplastic Agents↗

Mass-spectrometry-linked screening of protein fractions for enzymatic activities--a tool for functional genomics.

A simple and rapid strategy is described to screen protein fractions for defined enzymatic activity. A protein fraction from a porcine kidney extract was immobilized by covalent coupling to activated affinity beads. The immobilized proteins were incubated with probes specific for different enzyme activities. The reaction products were analyzed by matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry. The MALDI spectra indicate the presence of 5'-nucleotidase, phosphatase, kinase, glutathione reductase, and renin activities in the kidney protein extract. Furthermore, the method can be used to screen for inhibitors of enzymatic reactions. The method is adaptable to high-throughput sample handling and automated mass spectrometric analysis and therefore suited for functional genomics.

Animals↗

High resolution "ultra performance" liquid chromatography coupled to oa-TOF mass spectrometry as a tool for differential metabolic pathway profiling in functional genomic studies.

The combination of a new 1.7 mum reversed-phase packing material, and a chromatographic system, operating at ca. 12,000 psi, (so-called ultra performance liquid chromatography, UPLC) has enabled dramatic increases in chromatographic performance to be obtained for complex mixture separation. This increase in performance is manifested in improved peak resolution, together with increased speed and sensitivity. Here, we show that UPLC offers significant advantages over conventional reversed-phase HPLC amounting to a more than doubling of peak capacity, an almost 10-fold increase in speed and a 3- to 5-fold increase in sensitivity compared to that generated with a conventional 3.5 microm stationary phase. The first functional genomic application of UPLC-MS technology is illustrated here with respect to multivariate metabolic profiling of urines from males and females of two groups of phenotypically normal mouse strains (C57BL19J and Alpk:ApfCD) and a "nude mouse" strain. We have also compared this technology to conventional HPLC-MS under similar analytical conditions and show improved phenotypic classification capability of UPLC-MS analysis together with increased ability to probe differential pathway activities between strains as a result of improved analytical sensitivity and resolution.

Animals↗

Neuropeptide AF and FF modulation of adipocyte metabolism. Primary insights from functional genomics and effects on beta-adrenergic responsiveness.

The presence of a neuropeptide AF and FF receptor (NPFF-R2) mRNA in human adipose tissue (Elshourbagy, N. A., Ames, R. S., Fitzgerald, L. R., Foley, J. J., Chambers, J. K., Szekeres, P. G., Evans, N. A., Schmidt, D. B., Buckley, P. T., Dytko, G. M., Murdock, P. R., Tan, K. B., Shabon, U., Nuthulaganti, P., Wang, D. Y., Wilson, S., Bergsma, D. J., and Sarau, H. M. (2000) J. Biol. Chem. 275, 25965-25971) suggested these peptides, principally recognized for their pain modulating effects, may also impact on adipocyte metabolism, an aspect that has not been explored previously. Our aim was thus to obtain more insights into the actions of these peptides on adipocytes, an approach initially undertaken with a functional genomic assay. First we showed that 3T3-L1 adipocytes express both NPFF-R1 and NPFF-R2 transcripts, and that NPAF binds adipocyte membranes with a nanomolar affinity as assessed by surface plasmon resonance technology. Then, and following a 24-h treatment with NPFF or NPAF (1 microm), we have measured using real-time quantitative reverse transcriptase-PCR the mRNA steady state levels of already well characterized genes involved in key pathways of adipose metabolism. Among the 45 genes tested, few were modulated by NPFF ( approximately 10%) and a larger number by NPAF ( approximately 27%). Interestingly, NPAF increased the mRNA levels of beta2- and beta3-adrenergic receptors (AR), and to a lesser extent those of beta1-ARs. These variations in catecholamine receptor mRNAs correlated with a clear induction in the density of beta2- and beta3-AR proteins, and in the potency of beta-AR subtype-selective agonists to stimulate adenylyl cyclase activity. Altogether, these data show that NPFF-R1 and NPFF-R2 are functionally present in adipocytes and suggest that besides their well described pain modulation effects, NPAF and to a lesser extent NPFF, may have a global impact on body energy storage and utilization.

3T3 Cells↗

Functional genomics of hepatocellular carcinoma.

The majority of DNA-microarray based gene expression profiling studies on human hepatocellular carcinoma (HCC) has focused on identifying genes associated with clinicopathological features of HCC patients. Although notable success has been achieved, this approach still faces significant challenges due to the heterogeneous nature of HCC (and other cancers) as well as the many confounding factors embedded in gene expression profile data. However, these limitations are being overcome by improved bioinformatics and sophisticated analyses. Also, application of cross comparison of multiple gene expression data sets from human tumors and animal models are facilitating the identification of critical regulatory modules in the expression profiles. The success of this new experimental approach, comparative functional genomics, suggests that integration of independent data sets will enhance our ability to identify key regulatory elements in tumor development. Furthermore, integrating gene expression profiles with data from DNA sequence information in promoters, array-based CGH, and expression of non-coding genes (i.e., microRNAs) will further increase the reliability and significance of the biological and clinical inferences drawn from the data. The pace of current progress in the cancer profiling field, combined with the advances in high-throughput technologies in genomics and proteomics, as well as in bioinformatics, promises to yield unprecedented biological insights from the integrative (or systems) analysis of the combined cancer genomics database. The predicted beneficial impact of this "new integrative biology" on diagnosis, treatment and prevention of liver cancer and indeed cancer in general is enormous.

Animals↗

Functional genomics of neural and behavioral plasticity.

How does the environment, particularly the social environment, influence brain and behavior and what are the underlying physiologic, molecular, and genetic mechanisms? Adaptations of brain and behavior to changes in the social or physical environment are common in the animal world, either as short-term (i.e., modulatory) or as long-term modifications (e.g., via gene expression changes) in behavioral or physiologic properties. The study of the mechanisms and constraints underlying these dynamic changes requires model systems that offer plastic phenotypes as well as a sufficient level of quantifiable behavioral complexity while being accessible at the physiological and molecular level. In this article, I explore how the new field of functional genomics can contribute to an understanding of the complex relationship between genome and environment that results in highly plastic phenotypes. This approach will lead to the discovery of genes under environmental control and provide the basis for the study of the interrelationship between an individual's gene expression profile and its social phenotype in a given environmental context.

Adaptation, Physiological↗

Large-scale mutagenesis and functional genomics in yeast.

One of the major goals for the post-genome era is determining of the function of proteins predicted in the genome sequence. In many organisms functional assignments have been the results of comparative sequencing, proteomics or expression profiling. In the yeast, Saccharomyces cerevisiae, however, the functional role of a gene can be tested directly by disrupting the gene and examining the phenotype of the mutant. Because precise targeted deletions can be easily constructed, it is also possible to systematically delete every gene in the genome. Here we describe recent progress in yeast genome-wide mutagenesis programs and the results produced from analyzing the mutants created by them.

Genes, Lethal↗