Dysregulation of Anti-Inflammatory Annexin A1 Expression in Progressive Crohns Disease

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Expression of inducible nitric oxide synthase in macrophages inversely correlates with parasitism of lymphoid tissues in dogs with visceral leishmaniasis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Melatonin decreases breast cancer metastasis by modulating Rho-associated kinase protein-1 expression

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Nitric Oxide Mediates the Hormonal Control of Crassulacean Acid Metabolism Expression in Young Pineapple Plants

Genotypic, developmental, and environmental factors converge to determine the degree of Crassulacean acid metabolism (CAM) expression. To characterize the signaling events controlling CAM expression in young pineapple (Ananas comosus) plants, this photosynthetic pathway was modulated through manipulations in water availability. Rapid, intense, and completely reversible up-regulation in CAM expression was triggered by water deficit, as indicated by the rise in nocturnal malate accumulation and in the expression and activity of important CAM enzymes. During both up-and down-regulation of CAM, the degree of CAM expression was positively and negatively correlated with the endogenous levels of abscisic acid (ABA) and cytokinins, respectively. When exogenously applied, ABA stimulated and cytokinins repressed the expression of CAM. However, inhibition of water deficit-induced ABA accumulation did not block the up-regulation of CAM, suggesting that a parallel, non-ABA-dependent signaling route was also operating. Moreover, strong evidence revealed that nitric oxide (NO) may fulfill an important role during CAM signaling. Up-regulation of CAM was clearly observed in NO-treated plants, and a conspicuous temporal and spatial correlation was also evident between NO production and CAM expression. Removal of NO from the tissues either by adding NO scavenger or by inhibiting NO production significantly impaired ABA-induced up-regulation of CAM, indicating that NO likely acts as a key downstream component in the ABA-dependent signaling pathway. Finally, tungstate or glutamine inhibition of the NO-generating enzyme nitrate reductase completely blocked NO production during ABA-induced up-regulation of CAM, characterizing this enzyme as responsible for NO synthesis during CAM signaling in pineapple plants.

Differential expression of toll-like receptor mRNAs in recurrent aphthous ulceration

BACKGROUND: Toll-like receptors (TLR) are membrane proteins that recognize conserved molecules derived from bacterial, viral, fungal or host tissues. They are responsible for promoting the production of cytokines and chemokines, increasing the expression of costimulatory molecules and influencing the T Helper response (Th) toward either a Th1 or Th2 profile, thereby modulating the regulatory T cell response and controlling the integrity of the epithelial barrier. The key factors responsible for increased susceptibility to recurrent aphthous ulceration (RAU) are unclear, and because TLRs are involved in both immune regulation and control of the epithelial barrier, a deficiency in TLR activity is likely to cause increased susceptibility. METHODS: We investigated the gene expression of TLRs one through 10 in tissue samples and peripheral blood mononuclear cells (PBMC) of RAU patients in comparison to healthy controls using real-time quantitative reverse transcription PCR. RESULTS: The analysis of mRNA expression levels in oral lesion showed significant (P < 0.01) overexpression of the TLR2(similar to 6-fold) gene and decreased expression of the TLR3 (similar to 5-fold) and TLR5 (similar to 6-fold) genes in comparison with healthy oral mucosa. The analysis of mRNA expression in PBMC indicated a down-regulation of TLR5 gene expression in the cells from RAU patients (P < 0.05; similar to 2-fold). CONCLUSION: Our results support the hypothesis that a subset of RAU patients has fewer TLR expression that have been tentatively implicated in antiinflammatory effects. This derangement of TLR gene expression may cause an overlay exuberant inflammation reaction in situations where normal individuals are resistant. J Oral Pathol Med (2012) 41: 8085

Myocardial Chemokine Expression and Intensity of Myocarditis in Chagas Cardiomyopathy Are Controlled by Polymorphisms in CXCL9 and CXCL10

Background: Chronic Chagas cardiomyopathy (CCC), a life-threatening inflammatory dilated cardiomyopathy, affects 30% of the approximately 8 million patients infected by Trypanosoma cruzi. Even though the Th1 T cell-rich myocarditis plays a pivotal role in CCC pathogenesis, little is known about the factors controlling inflammatory cell migration to CCC myocardium. Methods and Results: Using confocal immunofluorescence and quantitative PCR, we studied cell surface staining and gene expression of the CXCR3, CCR4, CCR5, CCR7, CCR8 receptors and their chemokine ligands in myocardial samples from end-stage CCC patients. CCR5+, CXCR3+, CCR4+, CCL5+ and CXCL9+ mononuclear cells were observed in CCC myocardium. mRNA expression of the chemokines CCL5, CXCL9, CXCL10, CCL17, CCL19 and their receptors was upregulated in CCC myocardium. CXCL9 mRNA expression directly correlated with the intensity of myocarditis, as well as with mRNA expression of CXCR3, CCR4, CCR5, CCR7, CCR8 and their ligands. We also analyzed single-nucleotide polymorphisms for genes encoding the most highly expressed chemokines and receptors in a cohort of Chagas disease patients. CCC patients with ventricular dysfunction displayed reduced genotypic frequencies of CXCL9 rs10336 CC, CXCL10 rs3921 GG, and increased CCR5 rs1799988CC as compared to those without dysfunction. Significantly, myocardial samples from CCC patients carrying the CXCL9/CXCL10 genotypes associated to a lower risk displayed a 2-6 fold reduction in mRNA expression of CXCL9, CXCL10, and other chemokines and receptors, along with reduced intensity of myocarditis, as compared to those with other CXCL9/CXCL10 genotypes. Conclusions: Results may indicate that genotypes associated to reduced risk in closely linked CXCL9 and CXCL10 genes may modulate local expression of the chemokines themselves, and simultaneously affect myocardial expression of other key chemokines as well as intensity of myocarditis. Taken together our results may suggest that CXCL9 and CXCL10 are master regulators of myocardial inflammatory cell migration, perhaps affecting clinical progression to the life-threatening form of CCC.

Hepatocyte nuclear factors 1α/4α and forkhead box A2 regulate the solute carrier 2A2 (Slc2a2) gene expression in the liver and kidney of diabetic rats

AIMS: Solute carrier 2a2 (Slc2a2) gene codifies the glucose transporter GLUT2, a key protein for glucose flux in hepatocytes and renal epithelial cells of proximal tubule. In diabetes mellitus, hepatic and tubular glucose output has been related to Slc2a2/GLUT2 overexpression; and controlling the expression of this gene may be an important adjuvant way to improve glycemic homeostasis. Thus, the present study investigated transcriptional mechanisms involved in the diabetes-induced overexpression of the Slc2a2 gene. MAIN METHODS: Hepatocyte nuclear factors 1α and 4α (HNF-1α and HNF-4α), forkhead box A2 (FOXA2), sterol regulatory element binding protein-1c (SREBP-1c) and the CCAAT-enhancer-binding protein (C/EBPβ) mRNA expression (RT-PCR) and binding activity into the Slc2a2 promoter (electrophoretic mobility assay) were analyzed in the liver and kidney of diabetic and 6-day insulin-treated diabetic rats. KEY FINDINGS: Slc2a2/GLUT2 expression increased by more than 50% (P<0.001) in the liver and kidney of diabetic rats, and 6-day insulin treatment restores these values to those observed in non-diabetic animals. Similarly, the mRNA expression and the binding activity of HNF-1α, HNF-4α and FOXA2 increased by 50 to 100% (P<0.05 to P<0.001), also returning to values of non-diabetic rats after insulin treatment. Neither the Srebf1 and Cebpb mRNA expression, nor the SREBP-1c and C/EBP-β binding activity was altered in diabetic rats. SIGNIFICANCE: HNF-1α, HNF-4α and FOXA2 transcriptional factors are involved in diabetes-induced overexpression of Slc2a2 gene in the liver and kidney. These data point out that these transcriptional factors are important targets to control GLUT2 expression in these tissues, which can contribute to glycemic homeostasis in diabetes.

Untersuchungen zur induzierbaren Expression des Adhäsionsmoleküls E-Selektin und dessen potentieller Bedeutung bei der Tumormetastasierung

In der vorliegenden Arbeit konnte gezeigt werden, dass sowohl die durch TNFalpha-, als auch durch Röntgenstrahlen vermittelte Expression des Adhäsionsmoleküls E-Selektin in Endothelzellen durch kleine GTPasen der Rho-Proteinfamilie reguliert ist. Hemmung dieser kleinen G-Proteine z.B. durch HMG-CoA Reduktase-Inhibitoren (Statine) oder clostridiale Toxine führt zu verminderter Expression von E-Selektin in humanen Endothelzellen (HUVEC; EA.hy-926). Aus den in der Arbeit erhaltenen Ergebnissen kann außerdem die Schlussfolgerung gezogen werden, dass die Regulation der zytokininduzierten E-Selektin-Genexpression von der gamma-Strahlen-vermittelten Expression des E-Selektingens differiert. Für die strahleninduzierte endotheliale E-Selektin-Expression scheint beispielsweise der Transkriptionsfaktor AP-1 als ein weiterer Kontrollfaktor neben NF-kappaB zu fungieren. Des Weiteren konnte in der vorliegenden Arbeit gezeigt werden, dass eine gesteigerte E-Selektin-Proteinexpression mit erhöhter Tumorzelladhäsion und -transmigration an bzw. durch humane Endothelzellen korreliert. Hemmung der TNFalpha- bzw. gamma-Strahlen-induzierten Expression von E-Selektin durch Statine oder Retinsäuren ist ausreichend, sowohl Tumorzelladhäsion als auch Tumorzelldiapedese zu reduzieren. Zusammenfassend lässt sich festhalten, dass das Adhäsionsmolekül E-Selektin eine vielversprechende Zielstruktur ist, über deren kontrollierte Beeinflussung es auch in vivo möglich sein sollte, das Risiko der Metastasierung zu reduzieren. Mit Statinen und Retinsäurederivaten wurden somit Pharmaka identifiziert, die durch Hemmung der Rho-regulierten E-Selektin-Expression der Tumorzellmetastasierung vorbeugen könnten. Um diese Hypothese in zukünftigen tierexperimentelle Studien zu bestätigen, wurde im Rahmen dieser Arbeit mit der Generierung transgener Tiermodelle begonnen.

Regulation of Nox4 expression by histone deacetylases in human endothelial cells : involvement of epigenetic mechanisms

Nox4 is a member of the NADPH oxidase family, which represents a major source of reactive oxygen species (ROS) in the vascular wall. Nox4-mediated ROS production mainly depends on the expression levels of the enzyme. The aim of my study was to investigate the mechanisms of Nox4 transcription regulation by histone deacetylases (HDAC). Treatment of human umbilical vein endothelial cells (HUVEC) and HUVEC-derived EA.hy926 cells with the pan-HDAC inhibitor scriptaid led to a marked decrease in Nox4 mRNA expression. A similar down-regulation of Nox4 mRNA expression was observed by siRNA-mediated knockdown of HDAC3. HDAC inhibition in endothelial cells was associated with enhanced histone acetylation, increased chromatin accessibility in the human Nox4 promoter region, with no significant changes in DNA methylation. In addition, the present study provided evidence that c-Jun played an important role in controlling Nox4 transcription. Knockdown of c-Jun with siRNA led to a down-regulation of Nox4 mRNA expression. In response to scriptaid treatment, the binding of c-Jun to the Nox4 promoter region was reduced despite the open chromatin structure. In parallel, the binding of RNA polymerase IIa to the Nox4 promoter was significantly inhibited as well, which may explain the reduction in Nox4 transcription. In conclusion, HDAC inhibition decreases Nox4 transcription in human endothelial cells by preventing the binding of transcription factor(s) and polymerase(s) to the Nox4 promoter, most likely because of a hyperacetylation-mediated steric inhibition. In addition, HDAC inhibition-induced Nox4 downregulation may also involves microRNA-mediated mRNA destabilization, because the effect of the scriptaid could be partially blocked by DICER1 knockdown or by transcription inhibition.

Comparative functional analysis of factors controlling glial differentiation in Drosophila and mouse

The present study is a comparative functional analysis of three factors controlling glial differentiation in mouse (Fyn Src kinase, hnRNPF/H and NG2) and their homologues in Drosophila (Src42A and 64B, Glorund and Kon-tiki (Kon)). In Drosophila, mutations in any of these genes were not associated with major embryonic neurodevelopmental phenotypes. Src kinases and Glorund were shown to be ubiquitously expressed, whereas kon mRNA showed selective expression in muscles as well as in central and peripheral glia. Kon was also shown to be expressed in L3 larvae with high levels of protein accumulation at the neuromuscular junction (NMJ) and in muscles in the form of speckles. Knockdown of kon in glia resulted in NMJ phenotypes, mainly characterized by a significant increase in bouton number and a reduction in α-Konecto staining intensity at the NMJ. From the three glial layers ensheathing the peripheral nervous system, subperineurial glial showed to be the one contributing the most to kon knockdown dependent NMJ phenotypes, while perineurial glia only had a minor role. The knockdown of kon in glia also showed to affect Glutamate receptor subunit (α-GluRIIA) clustering in the postsynapse, same as microtubule arrangement in the presynapse, as seen by α-Futsch pattern interruptions and alterations. kon knockdown in glia also resulted in impaired axonal transport, as seen by the accumulation of Bruchpilot-positive vesicles along the nerves, abnormal formation of neuronal derived protrusions and swellings, filled with vacuole-like structures. Glia number along the peripheral nerves is also reduced as consequence of kon knockdown. Muscle derived Kon was shown to accumulate at the NMJ and play a role in bouton consolidation and to interfere with phagocytosis of ghost boutons. NMJ bouton and branch number was also significantly increased in Kon overexpression in glia. The overexpression of Kon in glia also resulted in a massive elongation of the ventral nerve cord, which served in a suppressor screen to identify intracellular interaction partners of Kon in glia. It was shown that Kon is processed in glia and preliminary results indicate that the metalloendopeptidase Kuzbanian (the fly homologue of ADAM10) may play a role in the shedding of Konecto. In the present work, Kon is shown as a multifunctional gene with various roles in glia-neuron and glia-neuron-muscle interaction.

IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION

The developmental processes and functions of an organism are controlled by the genes and the proteins that are derived from these genes. The identification of key genes and the reconstruction of gene networks can provide a model to help us understand the regulatory mechanisms for the initiation and progression of biological processes or functional abnormalities (e.g. diseases) in living organisms. In this dissertation, I have developed statistical methods to identify the genes and transcription factors (TFs) involved in biological processes, constructed their regulatory networks, and also evaluated some existing association methods to find robust methods for coexpression analyses. Two kinds of data sets were used for this work: genotype data and gene expression microarray data. On the basis of these data sets, this dissertation has two major parts, together forming six chapters. The first part deals with developing association methods for rare variants using genotype data (chapter 4 and 5). The second part deals with developing and/or evaluating statistical methods to identify genes and TFs involved in biological processes, and construction of their regulatory networks using gene expression data (chapter 2, 3, and 6). For the first part, I have developed two methods to find the groupwise association of rare variants with given diseases or traits. The first method is based on kernel machine learning and can be applied to both quantitative as well as qualitative traits. Simulation results showed that the proposed method has improved power over the existing weighted sum method (WS) in most settings. The second method uses multiple phenotypes to select a few top significant genes. It then finds the association of each gene with each phenotype while controlling the population stratification by adjusting the data for ancestry using principal components. This method was applied to GAW 17 data and was able to find several disease risk genes. For the second part, I have worked on three problems. First problem involved evaluation of eight gene association methods. A very comprehensive comparison of these methods with further analysis clearly demonstrates the distinct and common performance of these eight gene association methods. For the second problem, an algorithm named the bottom-up graphical Gaussian model was developed to identify the TFs that regulate pathway genes and reconstruct their hierarchical regulatory networks. This algorithm has produced very significant results and it is the first report to produce such hierarchical networks for these pathways. The third problem dealt with developing another algorithm called the top-down graphical Gaussian model that identifies the network governed by a specific TF. The network produced by the algorithm is proven to be of very high accuracy.

SURVIVAL PREDICTION FOR BRAIN TUMOR PATIENTS USING GENE EXPRESSION DATA

Brain tumor is one of the most aggressive types of cancer in humans, with an estimated median survival time of 12 months and only 4% of the patients surviving more than 5 years after disease diagnosis. Until recently, brain tumor prognosis has been based only on clinical information such as tumor grade and patient age, but there are reports indicating that molecular profiling of gliomas can reveal subgroups of patients with distinct survival rates. We hypothesize that coupling molecular profiling of brain tumors with clinical information might improve predictions of patient survival time and, consequently, better guide future treatment decisions. In order to evaluate this hypothesis, the general goal of this research is to build models for survival prediction of glioma patients using DNA molecular profiles (U133 Affymetrix gene expression microarrays) along with clinical information. First, a predictive Random Forest model is built for binary outcomes (i.e. short vs. long-term survival) and a small subset of genes whose expression values can be used to predict survival time is selected. Following, a new statistical methodology is developed for predicting time-to-death outcomes using Bayesian ensemble trees. Due to a large heterogeneity observed within prognostic classes obtained by the Random Forest model, prediction can be improved by relating time-to-death with gene expression profile directly. We propose a Bayesian ensemble model for survival prediction which is appropriate for high-dimensional data such as gene expression data. Our approach is based on the ensemble "sum-of-trees" model which is flexible to incorporate additive and interaction effects between genes. We specify a fully Bayesian hierarchical approach and illustrate our methodology for the CPH, Weibull, and AFT survival models. We overcome the lack of conjugacy using a latent variable formulation to model the covariate effects which decreases computation time for model fitting. Also, our proposed models provides a model-free way to select important predictive prognostic markers based on controlling false discovery rates. We compare the performance of our methods with baseline reference survival methods and apply our methodology to an unpublished data set of brain tumor survival times and gene expression data, selecting genes potentially related to the development of the disease under study. A closing discussion compares results obtained by Random Forest and Bayesian ensemble methods under the biological/clinical perspectives and highlights the statistical advantages and disadvantages of the new methodology in the context of DNA microarray data analysis.

Genetic networks controlling retinal injury.

PURPOSE: The present study defines genomic loci underlying coordinate changes in gene expression following retinal injury. METHODS: A group of acute phase genes expressed in diverse nervous system tissues was defined by combining microarray results from injury studies from rat retina, brain, and spinal cord. Genomic loci regulating the brain expression of acute phase genes were identified using a panel of BXD recombinant inbred (RI) mouse strains. Candidate upstream regulators within a locus were defined using single nucleotide polymorphism databases and promoter motif databases. RESULTS: The acute phase response of rat retina, brain, and spinal cord was dominated by transcription factors. Three genomic loci control transcript expression of acute phase genes in brains of BXD RI mouse strains. One locus was identified on chromosome 12 and was highly correlated with the expression of classic acute phase genes. Within the locus we identified the inhibitor of DNA binding 2 (Id2) as a candidate upstream regulator. Id2 was upregulated as an acute phase transcript in injury models of rat retina, brain, and spinal cord. CONCLUSIONS: We defined a group of transcriptional changes associated with the retinal acute injury response. Using genetic linkage analysis of natural transcript variation, we identified regulatory loci and candidate regulators that control transcript levels of acute phase genes.

Differential expression of urate oxidase in rat liver

An affinity-purified monospecific antibody was prepared to study the differential expression of the peroxisomal enzyme urate oxidase in rat liver during development and in various metabolic states. Monospecific antibody for urate oxidase was affinity purified from a pool of antibodies initially produced against a mixture of proteins from a Percoll density gradient fraction. Immunogold staining of samples of the gradient fraction and rat liver tissue with the affinity-purified antibody demonstrated labelling of peroxisomal core structures. Screening of liver homogenates from rats at different developmental stages using immunoblot analysis demonstrated low levels of urate oxidase prior to 20 days of age; at 20 days of age, urate oxidase levels are 2-fold greater than the 15-day old levels and approximate adult levels. Catalase expression during rat development mimicked the differential expression pattern of urate oxidase. The increase between days 15 and 20 was determined to be independent of the process of weaning. Administration of exogenous glucocorticoid hormone to 10-day old rats resulted in a precocious rise (2.5-fold) in urate oxidase levels, but adrenalectomy at 10 days of age did not cause decreased expression in the fourth week of life. In adult animals, exogenous glucocorticoid did not influence urate oxidase levels, but adrenalectomized rats had urate oxidase levels that were 40 percent of control expression 4 days post-surgery. Catalase expression was not influenced by glucocorticoid status in these studies. Glucocorticoid regulation of urate oxidase expression appears to be one part of a more complex mechanism controlling levels of the enzyme. Exogenous glucocorticoid administration influenced urate oxidase levels in an age-dependent manner; in addition, it is possible that the control mechanism for urate oxidase may include factors which can modulate expression in the absence of glucocorticoids. The effect of glucocorticoids on urate oxidase expression can not be extended to include all peroxisomal proteins, since catalase is unaffected. Glucocorticoids appear to participate in the complex regulation of urate oxidase expression; glucocorticoids influence urate oxidase specifically and do not modulate all peroxisomal proteins. ^