915 resultados para CpG Islands


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

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

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CONTEXTO:O câncer gástrico é uma das principais neoplasias que causam o óbito no Brasil e no mundo. Helicobacter pylori é um carcinógeno do tipo I relacionado à gastrite crônica. Diferenças no grau de virulência de suas cepas levam a maior risco de desenvolvimento de doenças gástricas. A metilação de ilhas CpGs está envolvida com o processo de tumorigênese em diferentes tipos de câncer. CDH1 é um gene supressor tumoral que, quando inativado, pode aumentar as chances de metástase. A metilação deste gene em estágios precoces da carcinogênese gástrica ainda não é totalmente compreendida. OBJETIVO: Investigar o padrão de metilação do gene CDH1 em amostras de gastrites crônicas e correlacionar com a presença do H. pylori. MÉTODOS: Foram usadas 60 biopsias de mucosas gástricas. A detecção de H. pylori foi realizada por PCR para o gene da urease C e a genotipagem com PCR para os genes cagA e vacA (região s e m). O padrão de metilação do gene CDH1 foi analisado usando a técnica de PCR e específica para a metilação e sequenciamento direto dos produtos de PCR. RESULTADOS: A bactéria H. pylori foi detectada em 90% das amostras de gastrites crônicas; destas, 33% portavam o gene cagA e 100% vacA s1. O genótipo vacA s2/m1 não foi detectado nas amostras analisadas. Metilação de CDH1 foi detectada em 63,3% das amostras de gastrites e 95% delas eram portadoras de H. pylori. CONCLUSÃO: Os resultados deste estudo sugerem que a metilação em CDH1 e a infecção pelo H. pylori são eventos frequentes em amostras de pacientes brasileiros com gastrite crônica e reforça a correlação entre infecção por H. pylori e inativação do gene CDH1 em estágios precoces da tumorigênese gástrica.

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Genética - IBILCE

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Aberrant methylation of CpG islands located in promoter regions represents one of the major mechanisms for silencing cancer-related genes in tumor cells. We determined the frequency of aberrant CpG island methylation for several tumor-associated genes: DAPK, MGMT, p14ARF, p16INK4a, TP73, RB1 and TIMP-3 in 55 brain tumors, consisting of 26 neuroepithelial tumors, 6 peripheral nerve tumors, 13 meningeal tumors and 10 metastatic brain tumors. Aberrant methylation of at least one of the seven genes studied was detected in 83.6% of the cases. The frequencies of aberrant methylation were: 40% for p14ARF, 38.2% for MGMT, 30.9% for, p16INK4a, 14.6% for TP73 and for TIMP-3, 12.7% for DAPK and 1.8% for RB1. These data suggest that the hypermethylation observed in the genes p14ARF, MGMT and p16INK4a is a very important event in the formation or progression of brain tumors, since the inactivation of these genes directly interferes with the cell cycle or DNA repair. The altered methylation rate of the other genes has already been reported to be related to tumorigenesis, but the low methylation rate of RB1 found in tumors in our sample is different from that so far reported in the literature, suggesting that perhaps hypermethylation of the promoter is not the main event in the inactivation of this gene. Our results suggest that hypermethylation of the promoter region is a very common event in nervous system tumors.

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Breast cancer has received an increasing attention because it is one of the most common cancer type and a leading cause of morbity and mortality among women worldwide. This disease has been considered as a heterogeneous condition, demonstrating a large spectrum of clinical and histopathological variability. In the last two decades, several studies have been conducted to identify new molecular markers of cancer cells, including the alterations of DNA methylation, which is the major epigenetic mechanism associated with the control of gene expression. The hypermethylation of promoter-associated CpG islands contributes to the loss of function of several cancer-related genes, including those encoding to the estrogen receptor (ESR) and progesterone receptor (PGR). This study aimed to determine the methylation patterns of CpG islands of the genes encoding the estrogen receptor α (ESR1 gene, promoters A and B), estrogen receptor β (ESR2 gene) and progesterone receptor (PGR gene, promoter A and B) in 15 cell lines derived from breast cancer. The DNA methylation analysis was based on the “Methylation Specific-Polymerase Chain Reaction” (MSP), which provides a qualitative assessment of the methylation status of a specific CpG island. The results revealed heterogeneous data: the promoter region of ESR1A showed complete methylation in one cell line (BT549) and only two cell lines showed partial methylation (MDA-MB-231 and MDA-MB-453), while the others lineages presented unmethylated alleles. The promoter region of isoform ESR1B was unmethylated in the cell lines BT549, SKBR3 and T47D; partial methylation were observed in the cell lines MDA-MB- 231, MCF-7 and ZR-75-30, while the others cell lines presented complete methylation. All lineages showed complete or partial methylation of the ESR2 gene. The methylation pattern of the promoter A of the PGR ...(Complete abstract click electronic access below)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Cancers of the upper aerodigestive tract (UADT) are common forms of malignancy associated with tobacco and alcohol exposures, although human papillomavirus and nutritional deficiency are also important risk factors. While somatically acquired DNA methylation changes have been associated with UADT cancers, what triggers these events and precise epigenetic targets are poorly understood. In this study, we applied quantitative profiling of DNA methylation states in a panel of cancer-associated genes to a case-control study of UADT cancers. Our analyses revealed a high frequency of aberrant hypermethylation of several genes, including MYOD1, CHRNA3 and MTHFR in UADT tumors, whereas CDKN2A was moderately hypermethylated. Among differentially methylated genes, we identified a new gene (the nicotinic acetycholine receptor gene) as target of aberrant hypermethylation in UADT cancers, suggesting that epigenetic deregulation of nicotinic acetycholine receptors in non-neuronal tissues may promote the development of UADT cancers. Importantly, we found that sex and age is strongly associated with the methylation states, whereas tobacco smoking and alcohol intake may also influence the methylation levels in specific genes. This study identifies aberrant DNA methylation patterns in UADT cancers and suggests a potential mechanism by which environmental factors may deregulate key cellular genes involved in tumor suppression and contribute to UADT cancers.

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Abstract Background Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC Methods Microarray experiments were performed with custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary RCC tumors and 11 nontumor adjacent matched tissues were analyzed. Meta-analyses were performed with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. Results A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). A signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value ≤0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 22% were significantly (p <0.05) cis correlated with the expression of the mRNA in the same locus across RCC and three other human tissues. Gene Ontology (GO) analysis of those loci pointed to 'regulation of biological processes’ as the main enriched category. A module map analysis of the protein-coding genes significantly (p <0.05) trans correlated with the 20% most abundant lncRNAs, identified 51 enriched GO terms (p <0.05). We determined that 60% of the expressed lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands, RNA Pol II binding and histones methylation and acetylation. Conclusion Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation.

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Für eine Reihe einzelner genetischer Faktoren und Promotorelemente wurde in der Vergangenheit eine Regulation der Genexpression in der Leber (und auch in anderen Geweben) gezeigt. Mit der Verfügbarkeit des gesamten humanen Genoms sowie dessen Expressionsdaten in großen Microarray- und SAGE-Datenbanken bietet sich die Möglichkeit, solche Regulationsmechanismen in großem, genomweitem Maßstab zu untersuchen. Dabei geht diese Arbeit der Frage nach, ob es übergeordnete, eine Expression speziell in der Leber fördernde oder hemmende Faktoren gibt oder ob jedes Gen von einer unabhängigen Kombination von Faktoren reguliert wird, in dessen Summe die Expression des individuellen Gens in der Leber am stärksten ist. Sollten sich übergeordnete, eine Expression in der Leber stimulierende Faktoren finden, wären diese interessant für die Entwicklung neuer Behandlungskonzepte bei Lebererkrankungen. Zur Untersuchung dieser Fragestellung wurden aus einem Affymetrix Microarray Datenset für 12 Gewebe die Expressiondaten von insgesamt jeweils 15.472 Genen extrahiert. In einem zweiten Schritt wurden zusätzlich die Promotorsequenzen der einzelnen zugehörigen Gene, definiert als eine 1000 bp Region upstream des Transkriptionsstarts, in dieselbe Datenbank abgelegt. Die Promotorsequenzen wurden über den PromotorScan-Algorithmus analysiert. Auf diese Weise wurden Transkriptionsfaktorbindungsstellen auf 7042 der Promotoren identifiziert. Es fand sich eine Gesamtzahl von 241.984 Transkriptionsfaktorbindungsstellen. Anhand der Microarray-Expressionsdaten wurde die Gesamtgruppe der verfügbaren Gene und Promotoren in zwei Gruppen unterteilt, nämlich in die Gruppe der Gene, deren Expression in der Leber deutlich am höchsten gefunden wurde und in die Gruppe der Gene, die in anderen Geweben am höchsten exprimiert waren. Jeder potentiell bindende Transkriptionsfaktor wurde auf unterschiedliches Vorkommen in diesen beiden Gruppen hin untersucht. Dies geschah unter der Vorstellung, dass übergeordnete Faktoren, die eine Expression in der Leber stimulieren in der Gruppe der Gene, die in der Leber am höchsten exprimiert sind, verhältnismäßig wesentlich häufiger zu finden sein könnten. Eine solches häufigeres Vorkommen ließ sich jedoch für keinen einzigen Faktor nachweisen. Transkriptionsfaktorbindungsstellen sind typischerweise zwischen 5 und 15 bp lang. Um auszuschließen, dass mit dem verwendeten PromotorScan-Algorithmus Transkriptionsfaktorbindungsstellen, die bisher nicht bekannt sind, nicht übersehen wurden, wurden die Häufigkeit sämtlicher möglicher 8 bp (48) und 10 bp (410) Nukleotid-Kombinationen in diesen Promotoren untersucht. Biologisch relevante Unterschiede fanden sich zwischen den beiden Gruppen nicht. In gleicher Weise wurde auch die Bedeutung von TATA-Boxen untersucht. TATA-Boxen kommt bei der Transkriptionsinitiierung eine wichtige Rolle zu, indem über sie die Bindung des initialen Transkriptionskomplexes vermittelt wird. Insgesamt 1033 TATA-Boxen wurden ebenfalls mittels PromotorScan vorausgesagt. Dabei waren 57 auf Promotoren von Genen, die in der Leber überexprimiert waren und 976 auf Promotoren von Genen, die in anderen Geweben überexprimiert waren. Der Vergleich dieser beiden Gruppen ließ keine signifikant unterschiedliche Häufigkeit an TATA-Boxen erkennen. Im weiteren wurde die Bedeutung von CpG-Islands für eine potentiell differentielle Regulation untersucht. Insgesamt wurden 8742 CpG-Islands in einem Bereich von bis zu 5 kb upstream des Transkriptionsstarts identifiziert, 364 davon auf Promotoren von Genen, die am höchsten in der Leber exprimiert waren, 8378 auf Promotoren von Genen, die in anderen Geweben am höchsten exprimiert waren. Signifikante Unterschiede in der Verteilung von CpG-Islands auf Promotoren dieser beiden Gengruppen ließen sich nicht nachweisen. Schließlich wurden die RNA- und Proteinsequenzen des Transkriptoms und Proteoms hinsichtlich ihrer Zusammensetzung aus einzelnen Nukleotiden bzw. Aminosäuren analysiert. Auch hierbei fanden sich keine signifikanten Unterschiede in der Verteilung zwischen beiden Gengruppen. Die Zusammenschau der Ergebnisse zeigt, dass die Regulation der einzelnen Gene im Lebergewebe im wesentlichen individuell erfolgt. Im Rahmen der vorgelegten bioinformatischen Analysen fanden sich keine übergeordneten genetischen „Leberfaktoren“, die speziell eine Expression von Genen in der Leber stimulieren. Neue therapeutische Ansätze, die auf eine Regulation der Genexpression in der Leber zielen, werden somit auch weiterhin auf die Beeinflussung individueller Gene fokussiert bleiben.