985 resultados para Gene Components
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Since oral squamous cell carcinoma (OSCC) is the most prevalent malignant cancer in the oral cavity, several researches have been performed to study the role of important enzymes in this disease. Among them, the matrix metalloproteinases (MMPs) are highlighted, due to the fact that they are proteinases responsible to degrade many extra-cellular matrix components, making possible the invasion of neoplasic cells. Important tools in cancer prognosis have been utilized aiming to correlate high levels of MMPs and OSCC, such as immunohistochemical, zymographic and mRNA detection methods. However, these techniques are usually applied after cancer detection, characterizing a curative but not a preventive medicine. Trying to make interventions before the development of the disease and making possible the identification of people at high risk and, analysis of modifications in MMP genes has been a chance for modern medicine. Recently, polymorphisms in MMP genes have been related to different neoplasias, including OSCC. Despite investigation is beginning, MMP gene polymorphisms seems to have a promising future in oral cancer research and some of the present results have shown that there are MMP polymorphisms related to an increased risk for developing oral cancer. Key words:Oral cancer, polymorphism, matrix metalloproteinase.
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Background: A current challenge in gene annotation is to define the gene function in the context of the network of relationships instead of using single genes. The inference of gene networks (GNs) has emerged as an approach to better understand the biology of the system and to study how several components of this network interact with each other and keep their functions stable. However, in general there is no sufficient data to accurately recover the GNs from their expression levels leading to the curse of dimensionality, in which the number of variables is higher than samples. One way to mitigate this problem is to integrate biological data instead of using only the expression profiles in the inference process. Nowadays, the use of several biological information in inference methods had a significant increase in order to better recover the connections between genes and reduce the false positives. What makes this strategy so interesting is the possibility of confirming the known connections through the included biological data, and the possibility of discovering new relationships between genes when observed the expression data. Although several works in data integration have increased the performance of the network inference methods, the real contribution of adding each type of biological information in the obtained improvement is not clear. Methods: We propose a methodology to include biological information into an inference algorithm in order to assess its prediction gain by using biological information and expression profile together. We also evaluated and compared the gain of adding four types of biological information: (a) protein-protein interaction, (b) Rosetta stone fusion proteins, (c) KEGG and (d) KEGG+GO. Results and conclusions: This work presents a first comparison of the gain in the use of prior biological information in the inference of GNs by considering the eukaryote (P. falciparum) organism. Our results indicates that information based on direct interaction can produce a higher improvement in the gain than data about a less specific relationship as GO or KEGG. Also, as expected, the results show that the use of biological information is a very important approach for the improvement of the inference. We also compared the gain in the inference of the global network and only the hubs. The results indicates that the use of biological information can improve the identification of the most connected proteins.
Resumo:
A comparative proteomic approach was performed to identify differentially expressed proteins in plastids at three stages of tomato (Solanum lycopersicum) fruit ripening (mature-green, breaker, red). Stringent curation and processing of the data from three independent replicates identified 1,932 proteins among which 1,529 were quantified by spectral counting. The quantification procedures have been subsequently validated by immunoblot analysis of six proteins representative of distinct metabolic or regulatory pathways. Among the main features of the chloroplast-to-chromoplast transition revealed by the study, chromoplastogenesis appears to be associated with major metabolic shifts: (1) strong decrease in abundance of proteins of light reactions (photosynthesis, Calvin cycle, photorespiration) and carbohydrate metabolism (starch synthesis/degradation), mostly between breaker and red stages and (2) increase in terpenoid biosynthesis (including carotenoids) and stress-response proteins (ascorbate-glutathione cycle, abiotic stress, redox, heat shock). These metabolic shifts are preceded by the accumulation of plastid-encoded acetyl Coenzyme A carboxylase D proteins accounting for the generation of a storage matrix that will accumulate carotenoids. Of particular note is the high abundance of proteins involved in providing energy and in metabolites import. Structural differentiation of the chromoplast is characterized by a sharp and continuous decrease of thylakoid proteins whereas envelope and stroma proteins remain remarkably stable. This is coincident with the disruption of the machinery for thylakoids and photosystem biogenesis (vesicular trafficking, provision of material for thylakoid biosynthesis, photosystems assembly) and the loss of the plastid division machinery. Altogether, the data provide new insights on the chromoplast differentiation process while enriching our knowledge of the plant plastid proteome.
Resumo:
Abstract Background Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST "digital northern", are important high-throughput techniques for digital gene expression measurement. As other counting or voting processes, these measurements constitute compositional data exhibiting properties particular to the simplex space where the summation of the components is constrained. These properties are not present on regular Euclidean spaces, on which hybridization-based microarray data is often modeled. Therefore, pattern recognition methods commonly used for microarray data analysis may be non-informative for the data generated by transcript enumeration techniques since they ignore certain fundamental properties of this space. Results Here we present a software tool, Simcluster, designed to perform clustering analysis for data on the simplex space. We present Simcluster as a stand-alone command-line C package and as a user-friendly on-line tool. Both versions are available at: http://xerad.systemsbiology.net/simcluster. Conclusion Simcluster is designed in accordance with a well-established mathematical framework for compositional data analysis, which provides principled procedures for dealing with the simplex space, and is thus applicable in a number of contexts, including enumeration-based gene expression data.
Resumo:
Abstract Background Oral squamous cell carcinoma (OSCC) is a frequent neoplasm, which is usually aggressive and has unpredictable biological behavior and unfavorable prognosis. The comprehension of the molecular basis of this variability should lead to the development of targeted therapies as well as to improvements in specificity and sensitivity of diagnosis. Results Samples of primary OSCCs and their corresponding surgical margins were obtained from male patients during surgery and their gene expression profiles were screened using whole-genome microarray technology. Hierarchical clustering and Principal Components Analysis were used for data visualization and One-way Analysis of Variance was used to identify differentially expressed genes. Samples clustered mostly according to disease subsite, suggesting molecular heterogeneity within tumor stages. In order to corroborate our results, two publicly available datasets of microarray experiments were assessed. We found significant molecular differences between OSCC anatomic subsites concerning groups of genes presently or potentially important for drug development, including mRNA processing, cytoskeleton organization and biogenesis, metabolic process, cell cycle and apoptosis. Conclusion Our results corroborate literature data on molecular heterogeneity of OSCCs. Differences between disease subsites and among samples belonging to the same TNM class highlight the importance of gene expression-based classification and challenge the development of targeted therapies.
Resumo:
The Myc oncoproteins belong to a family of transcription factors composed by Myc, N-Myc and L-Myc. The most studied components of this family are Myc and N-Myc because their expressions are frequently deregulated in a wide range of cancers. These oncoproteins can act both as activators or repressors of gene transcription. As activators, they heterodimerize with Max (Myc associated X-factor) and the heterodimer recognizes and binds a specific sequence elements (E-Box) onto gene promoters recruiting histone acetylase and inducing transcriptional activation. Myc-mediated transcriptional repression is a quite debated issue. One of the first mechanisms defined for the Myc-mediated transcriptional repression consisted in the interaction of Myc-Max complex Sp1 and/or Miz1 transcription factors already bound to gene promoters. This interaction may interfere with their activation functions by recruiting co-repressors such as Dnmt3 or HDACs. Moreover, in the absence of , Myc may interfere with the Sp1 activation function by direct interaction and subsequent recruitment of HDACs. More recently the Myc/Max complex was also shown to mediate transcriptional repression by direct binding to peculiar E-box. In this study we analyzed the role of Myc overexpression in Osteosarcoma and Neuroblastoma oncogenesis and the mechanisms underling to Myc function. Myc overexpression is known to correlate with chemoresistance in Osteosarcoma cells. We extended this study by demonstrating that c-Myc induces transcription of a panel of ABC drug transporter genes. ABCs are a large family trans-membrane transporter deeply involved in multi drug resistance. Furthermore expression levels of Myc, ABCC1, ABCC4 and ABCF1 were proved to be important prognostic tool to predict conventional therapy failure. N-Myc amplification/overexpression is the most important prognostic factor for Neuroblastoma. Cyclin G2 and Clusterin are two genes often down regulated in neuroblastoma cells. Cyclin G2 is an atypical member of Cyclin family and its expression is associated with terminal differentiation and apoptosis. Moreover it blocks cell cycle progression and induces cell growth arrest. Instead, CLU is a multifunctional protein involved in many physiological and pathological processes. Several lines of evidences support the view that CLU may act as a tumour suppressor in Neuroblastoma. In this thesis I showed that N-Myc represses CCNG2 and CLU transcription by different mechanisms. • N-Myc represses CCNG2 transcription by directly interacting with Sp1 bound in CCNG2 promoter and recruiting HDAC2. Importantly, reactivation of CCNG2 expression through epigenetic drugs partially reduces N-Myc and HDAC2 mediated cell proliferation. • N-Myc/Max complex represses CLU expression by direct binding to a peculiar E-box element on CLU promoter and by recruitment of HDACs and Polycomb Complexes, to the CLU promoter. Overall our findings strongly support the model in which Myc overexpression/amplification may contribute to some aspects of oncogenesis by a dual action: i) transcription activation of genes that confer a multidrug resistant phenotype to cancer cells; ii), transcription repression of genes involved in cell cycle inhibition and cellular differentiation.
Resumo:
Die wichtigsten Bestandteile des Cytoskeletts in pflanzlichen Zellen sind die Actinfilamente und die Mikrotubuli. Die Mikrotubuli spielen in der Organisation und der Morphogenese von pflanzlichen Zellen eine wichtige Rolle. Sie sind zusammen mit den Cellulosefibrillen an der Formgebung der Pflanzenzelle beteiligt. Sie bilden das Präprophaseband, das die Zellteilungsebene bestimmt und die Mitosespindel, die für die Trennung der Chromosomen sorgt, sowie den Phragmoplasten, der die Zellwand zwischen den Tochterzellen bildet. Weiterhin geben die Mikrotubuli durch Interaktion mit den Cellulose-Synthase-Komplexen die Richtung der Zellexpansion vor (GRANGER und CYR, 2001; LLOYD und CHAN, 2002; BASKIN, 2002). Die Mikrotubuli sind auch an der Stabilisierung der Zellform und an Transportprozessen beteiligt. Als Bestandteil der Mikrotubuli-organisierenden Zentren (MTOCs) wurde das γ-Tubulin identifiziert, das sehr wahrscheinlich an der Nukleation der Mikrotubuli beteiligt ist, indem es die Assemblierung der αβ-Tubulindimere zu Mikrotubuli einleitet. In tierischen Zellen ist durch intensive Forschung inzwischen relativ viel über die Funktion von γ-Tubulin, vor allem im Verlauf der Zellteilung bekannt, wie z. B. die Lokalisation in Centrosomen mit ihren paarweise angeordneten Centriolen, die die MTOCs darstellen. In pflanzlichen Zellen sind bisher nur wenige Funktionen des Proteins hinreichend geklärt. Die höheren Pflanzen besitzen keine Centriolen und keine Centrosomen. Über die Zellteilung hinaus gibt es kaum Anhaltspunkte über das Vorhandensein oder eventuelle Aufgaben von γ-Tubulin in expandierenden und voll expandierten Zellkulturen und Pflanzengeweben. In dieser Arbeit wurde die Expression über PCR und die Messung des Proteingehalts von cytoskelett-relevanten Proteinen in den Entwicklungsstadien der Zellsuspensionskultur (BY-2) und von Blattstadien der Tabakpflanze (SR1) von Nicotiana tabacum gemessen. Primäres Ziel war es eine Aussage zu erhalten, in welchem Ausmaß γ-Tubulin in expandierenden und voll expandierten Zellen noch exprimiert wird und ob bzw. wie eine Regulation (transkriptionell oder posttranskriptionell) des γ-Tubulins in der Pflanze stattfindet. Für den Nachweis des γ-Tubulins auf der Proteinebene wurde ein pflanzenspezifischer γ-Tubulin Antikörper zu entwickelt. Bei diesem Antikörper handelte es sich um einen polyklonalen Antikörper, der spezifisch gegen eine Sequenz in pflanzlichem γ-Tubulin gerichtet ist. Dabei zeigte der in der Arbeit entwickelte Antikörper gegen die pflanzliche JOSHI-Domäne spezifische Signale. Der erfolgte Nachweis von γ-Tubulin auf der Proteinebene und der Transkripte zeigte bis in die ältesten untersuchten Stadien der Zellsuspensionskultur (BY-2) und in Geweben der Blattstadien der Tabakpflanze (SR1) deutliche Signale für γ-Tubulin. Es war somit nicht nur in meristematisch aktiven Zellen und Geweben von Nicotiana tabacum, sondern auch in nichtmitotischen Zellen und Geweben vorhanden. Hierbei war über die Phasen der Zellteilung und der Zellformgebung hinweg auf beiden Ebenen eine parallele Entwicklung mit relativ konstanten starken Signalen zu beobachten. Nach dem Einstellen der Teilungsaktivität fiel der Gehalt an mRNA deutlich ab. Dabei nahm die Konzentration des Proteins im Vergleich zur mRNA zeitlich verzögert ab. Diese Ergebnisse bei der Zellsuspensionskultur (BY-2) und Tabakpflanze (SR1) gehen mit der möglichen Nukleationstätigkeit des Proteins konform. Es waren geringere aber doch deutlichen Signale bei Absterbenden Zellen der Zellkultur, bzw. bei expandierenden und voll expandierten und seneszenten Blättern der Tabakpflanze (SR1) nachzuweisen. Dies lässt die Folgerung zu, dass die nachgewiesene mRNA von γ-Tubulin nicht posttranskriptionell reguliert wird, sondern dass das γ-Tubulin auch eine wichtige Rolle außerhalb der Zellteilung in den postmitotischen Stadien, z. B. als organisierender Faktor bei der Umgestaltung oder Stabilisierung des Mikrotubuli-Cytoskeletts, spielt. Der γ-Tubulin-Gehalt in den Geweben der SR1-Pflanze zeigte über die Zellkultur hinaus, dass die Expression von α-Tubulin nach Einstellen der Teilungsaktivität kontinuierlich abnimmt. Dieses Ergebnis legt die Vermutung nahe, dass γ-Tubulin in älteren Blattgeweben zusätzliche Aufgaben übernehmen könnte, die nicht auf eine gleichzeitige Expression von α-Tubulin angewiesen sind. So kann beispielsweise eine Beteiligung von γ-Tubulin an der Stabilisierung der Mikrotubuli, und damit einhergehend eine Abnahme der dynamischen Instabilität dieser Filamente, eine denkbare Funktion des Proteins in expandierendem und voll expandiertem Gewebe sein. Die Aufgaben von γ-Tubulin in sehr altem Gewebe mit deutlichen Anzeichen der Seneszenz können allerdings nach dem derzeitigen Stand der Forschung nicht eindeutig beantwortet werden und bedürfen weitergehenden Untersuchungen, da dadurch ein die Komplexität und die Dynamik des pflanzlichen Cytoskeletts geklärt werden kann.
Resumo:
Research on the endocrine role of estrogens has focused on the reproductive system, while other potential target systems have been less studied. Here, we investigated the possible immunomodulating role of 17beta-estradiol (E2) using rainbow trout (Oncorhynchus mykiss) as a model. The aims of the study were to examine a) whether estrogens can modulate immune gene transcription levels, and b) whether this has functional implications for the resistance of trout towards pathogens. Trout were reared from fertilization until 6 months of age under (1) control conditions, (2) short-term E2-treatment (6-month-old juveniles were fed a diet containing 20 mg E2/kg for 2 weeks), or c) long-term E2-treatment (twice a 2-h-bath-exposure of trout embryos to 400 mug 17beta-estradiol (E2)/L, followed by rearing on the E2-spiked diet from start-feeding until 6 months of age). Analysis of plasma estrogen levels indicated that the internal estrogen concentrations of E2-exposed fish were within the physiological range and analysis of hepatic vitellogenin mRNA levels indicated that the E2 administration was effective in activating the endogenous estrogen receptor pathway. However, expression levels of the hepatic complement components C3-1, C3-3, and Factor H were not affected by E2-treatment. In a next step, 6-month-old juveniles were challenged with pathogenic bacteria (Yersinia ruckeri). In control fish, this bacterial infection resulted in significant up-regulation of the mRNA levels of hepatic complement genes (C3-1, C3-3, Factor B, Factor H), while E2-treated fish showed no or significantly lower up-regulation of the complement gene transcription levels. Apparently, the E2-treated trout had a lower capacity to activate their immune system to defend against the bacterial infection. This interpretation is corroborated by the finding that survival of E2-treated fish under bacterial challenge was significantly lower than in the control group. In conclusion, the results from this study suggest that estrogens are able to modulate immune parameters of trout with functional consequences on their ability to cope with pathogens.
Resumo:
Claudins are major components of tight junctions and contribute to the epithelial-barrier function by restricting free diffusion of solutes through the paracellular pathway. We have mapped a new locus for recessive renal magnesium loss on chromosome 1p34.2 and have identified mutations in CLDN19, a member of the claudin multigene family, in patients affected by hypomagnesemia, renal failure, and severe ocular abnormalities. CLDN19 encodes the tight-junction protein claudin-19, and we demonstrate high expression of CLDN19 in renal tubules and the retina. The identified mutations interfere severely with either cell-membrane trafficking or the assembly of the claudin-19 protein. The identification of CLDN19 mutations in patients with chronic renal failure and severe visual impairment supports the fundamental role of claudin-19 for normal renal tubular function and undisturbed organization and development of the retina.