No description available.

Orientador: Sergio Roberto Peres Line / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba / Made available in DSpace on 2018-08-13T02:01:37Z (GMT). No. of bitstreams: 1 Almeida_CarolinaVieirade_M.pdf: 673929 bytes, checksum: de7a7d8f324324fae24215bb7eb7ed66 (MD5) Previous issue date: 2009 / Resumo: O gene PAX9 pertence a uma família de fatores de transcrição denominada família Pax. Esse gene é expresso em tecidos embrionários como somitos, bolsa endodérmica da faringe, brotos distais dos membros e mesênquima derivado da crista neural. Alguns polimorfismos na região promotora desse gene em humanos vêm sendo associados a formas de agenesias não-sindrômicas autossômicas dominantes. No presente trabalho, nós verificamos a expressão gênica e a influência de duas seqüências da região promotora na transcrição do gene PAX9 em ensaios in vitro com células de tecido embrionário de ratos de 13.5 dias obtidas a partir de seus membros, face e regiões do mesencéfalo e romboencéfalo. Os fragmentos da região promotora foram clonados em plasmídios repórteres e transfectados nos três diferentes tecidos embrionários. Nossos resultados das análises de RT-PCR demonstraram que em culturas in vitro, as células dos membros e do SNC expressam o gene PAX9, porém, aquelas obtidas a partir da face não o expressaram. Além disso, os resultados dos ensaios de luciferase mostraram que a atividade dessa nos vetores construídos são mais fracas do que do vetor pGL3-Basic sozinho, sugerindo que essas regiões não são suficientes para guiar a transcrição gênica. / Abstract: PAX9 belongs to a transcriptional factor genes family named Pax. This gene is expressed in embryonic tissues like somites, pharyngeal pouch endoderm, distal limb buds and neural crest-derived mesenchyme. Some polymorphisms in the upstream promoter region of the human PAX9 have been associated with human non-syndromic forms of autossomal dominant agenesis. In the present study we verified the in vitro expression of this gene and the influence of two promoter sequences in the transcription of PAX9 gene, in embryo tissues obtained from digits, face and midbrain and hindbrain regions. These fragments were cloned on reporter plasmid and were transfected into the different cells cultures. Our RT-PCR results showed that in vitro E13.5 limb bud and CNS cells express PAX9, but not in derived facial region cells. Moreover, the luciferase activity of the Pax9 promoter vectors were weaker than pGL3-Basic alone, suggesting that the PAX9 sequences of promoter region are not sufficient to drive PAX9 gene transcription. / Mestrado / Histologia e Embriologia / Mestre em Biologia Buco-Dental

A metilação do DNA é uma alteração epigenética que atua na regulação da expressão gênica. A deficiência de vitaminas (cobalamina, B6 e folato) pode interferir na taxa de metilação. O efeito da deficiência destas vitaminas foi determinado em estudos com cultura de células e em animais. No entanto, são raros os estudos realizados com seres humanos. Os objetivos deste trabalho foram: avaliar a taxa de metilação do DNA de leucócitos na região promotora dos genes Interferon gama (IFNγ), Serpin B5 e Stratifin; verificar se existe associação entre as concentrações das vitaminas e dos metabólitos com a taxa de metilação do DNA dos 3 genes; e analisar quais são os fatores de predição para a taxa de metilação do DNA (variável dependente) considerando como variáveis independentes os valores séricos das vitaminas e metabólitos, em mulheres com idades gestacionais de 16, 28 e 36 semanas. Cento e oitenta e três mulheres foram convidadas a participar desse estudo, porém apenas 96 completaram o estudo prospectivo. Foram determinadas as concentrações séricas da cobalamina (Cbl), folato, vitamina B6, S-adenosilmetionina (SAM), S-adenosilhomocisteína (SAH), ácido metilmalônico (MMA), homocisteína total (tHcy) e folato eritrocitário. A taxa de metilação nos 3 genes foi determinada por qMSP (Quantitative Methylation Specific - Polimerase Chain Reaction). Várias mulheres estavam fazendo uso de suplementação com ácido fólico e/ou polivitamínicos. Diante deste fato foram formados 4 subgrupos: Grupo 1 (constituído por mulheres que não usaram suplementação), Grupo 2 (mulheres que usaram suplementação em todas as idades gestacionais estudadas - 16, 28 e 36 semanas), Grupo 3 (mulheres que usaram suplementação no início da gestação até a 16ª semana) e Grupo 4 (mulheres que usaram suplementação na 16ª e 28ª semana gestacional). Não houve diferença entre as taxas de metilação do DNA dos genes IFNγ, Serpin B5 e Stratifin durante o período gestacional estudado. As taxas de metilação no gene IFNγ do grupo 1 foram maiores, quando comparadas as taxas dos demais grupos. Em modelos de regressão linear múltipla, considerando o período gestacional como um todo, apenas a vitamina B6 e a tHcy foram diretamente associadas aos valores da taxa de metilação do gene IFNγ. No entanto, a vitamina B6 foi inversamente associada, enquanto que tHcy esteve diretamente associada aos valores da taxa de metilação do gene Stratifin. A taxa de metilação não sofre alterações durante a gestação; a vitamina B6 e a tHcy foram os fatores de predição para as taxas de metilação do DNA na região promotora dos genes IFNγ e Stratifin. / DNA methylation is an epigenetic modification that regulates gene expression. Cobalamin, vitamin B6 and folate deficiencies can impair the DNA methylation index. Studies involving cultured cells and animals have evaluated the effect of vitamin deficiencies in DNA methylation. However, few studies were conducted in humans. The goals of this study were: to evaluate the leukocyte DNA methylation index in the promoter region of interferon gamma (IFNγ), Serpin B5 and Stratifin genes; to assess the association between vitamins and metabolites concentrations and DNA methylation index in three genes; and to examine the predictive factors for DNA methylation index using as independent variables: serum folate, serum cobalamin, serum vitamin B6, erythrocyte folate, methylmalonic acid (MMA), total homocysteine (tHcy) in three gestational ages (16th, 28th and 36,th weeks). A hundred eighty three women were included, but only 96 completed the prospective study. The serum concentrations of cobalamin, folate, vitamin B6, S-adenosylmethionine (SAM), Sadenosylhomocysteine (SAH), MMA, tHcy were determined. The erythrocyte folate concentration was also evaluated. The DNA methylation index was determined in three genes by qMSP (Quantitative Methylation Specific - Polymerase Chain Reaction). Several women were taking folic acid supplementation and/or multivitamins. Four groups were formed according to supplementation use: Group 1 (women who take no supplementation), Group 2 (women who took supplements at 16th, 28th and 36th weeks of pregnancy), Group 3 (women who took supplements in early pregnancy and up to 16 weeks) and Group 4 (women who took supplements in the 16th and 28th week of pregnancy). There was no difference between the DNA methylation index in the IFNγ, Serpin B5 and Stratifin genes during the gestational periods studied. The DNA methylation index in the IFNγ gene in group 1 was higher than those indexes from other groups. In multiple linear regression models considering the gestational periods as a whole, only vitamin B6 and tHcy were directly associated to DNA methylation index in IFNγ gene. However, vitamin B6 was inversely associated, whereas tHcy was directly associated with values of DNA methylation in Stratifin. The DNA methylation index does not change during pregnancy, vitamin B6 and tHcy were the predictors of DNA methylation in the promoter region of IFNγ and Stratifin genes.

O colágeno XVIII é um componente das membranas basais com diversos domínios funcionais, como a endostatina e o domínio frizzled, que têm importante papel em processos celulares como proliferação e diferenciação. COL18A1 possui dois promotores alternativos: o promotor 1, que regula a síntese da variante NC11-303, e o promotor 2 responsável pelas variantes NC11- 728 e NC11-493, expressas por hepatócitos. Existe uma variação interindividual da endostatina circulante e da expressão do colágeno XVIII no fígado. A expressão do colágeno XVIII/endostatina foi correlacionada com a progressão tanto do hepatocarcinoma (HCC), quanto da fibrose/cirrose hepática. Elucidar a regulação da expressão de COL18A1 pode auxiliar na compreensão dessa variação interindividual e da progressão dessas doenças. Neste trabalho demos início a caracterização do promotor 2 do COL18A1. Identificamos na seqüência predita como promotora cinco regiões conservadas entre humanos e camundongos. A análise in silico e funcional dessas regiões revelou que os fatores de transcrição, Sp1, Sp3, YY1, Oct-1, C/EBPα e C/EBPβ, interagem com as mesmas. Demonstramos que C/EBPβaumenta a taxa de transcrição do promotor 2 em hepatócitos, e que existe uma correlação positiva da expressão de NC11-493 com C/EBPαe C/EBPβem tecido hepático cirrótico e tumoral. As expressões de C/EBPαem tecido hepático cirrótico e tumoral estão diretamente correlacionadas, enquanto que os níveis de NC11-493 nos tumores estão inversamente correlacionados com o tamanho dos mesmos. Mostramos a existência de diversos SNPs no promotor 2. O SNP-700T/G, funcional in vitro, afeta a interação de Sp3 e YY1 com essa região regulatória. A deleção da região do SNP indicou que ela possui elementos importantes para a transcrição em hepatócitos, apesar deste SNP não estar relacionado com o nível de expressão do colágeno XVIII em fígado fibrótico ou com susceptibilidade a HCC. O SNP- 700T/G está em desequilíbrio de ligação com o SNPc.1135C/T, no domínio frizzled do colágeno XVIII. Não foi possível elucidar a funcionalidade do SNPs c.1135C/T in vitro, mas os haplótipos formados por esses dois SNPs têm diferentes frequências entre descendentes de europeus e de africanos. Nosso trabalho traz importantes contribuições e abre novas perspectivas para a compreensão da regulação do colágeno XVIII em fígado humano, tanto em situações fisiológicas, quanto em processos fibrogênicos e tumorigênicos¶ / Collagen XVIII is a basal membrane component with several funcional domains, such as endostatin and frizzled domains, which have important roles in cellular processes such as proliferation and differentiation. COL18A1 has two promoter regions: promoter 1, that regulates the synthesis of NC11-303 isoform, and promoter 2, localized in intron 2, responsible for NC11-728 and NC11-493 isoforms expressed by hepatocytes. There is a large interindividual variation in circulating endostatin and in collagen XVIII liver expression. Collagen XVIII/endostatin levels were correlated with hepatocellular carcinoma (HCC) progression, as well as liver fibrosis/cirrhosis, conditions that precede HCC. Elucidating the mechanisms that regulate COL18A1 expression in hepatocytes may help understanding its variation among individuals and liver disease stages, as well as contribute to new treatment strategies. In this work we began to characterize COL18A1 promoter region 2. We identified in the predicted promoter sequence five conserved regions between human and mouse. The in silico and functional analysis of these regions revealed that transcription factors Sp1, Sp3, YY1, Oct-1, C/EBPα and C/EBPβ interact with them. We have demonstrated that C/EBPβ increases promoter 2 transcription rate in hepatocytes, and that there is a positive correlation of NC11-493 expression with that of C/EBPα and C/EBPβ in cirrhotic and tumor liver samples. Non-tumor and tumor C/EBPα expressions positively correlate between themselves, while NC11-493 tumor expression inversely correlates with tumor size. We also showed that there are several SNPs in COL18A1 promoter 2 region. SNP-700T/G, functional in vitro, affects Sp3 and YY1 interaction with the promoter 2 region and deletion of the SNP region indicated that this sequence has important hepatocyte regulatory elements. Our results suggest that this SNP does not significantly affects COL18A1 expression in fibrotic/cirrhotic liver and is not associated with HCC susceptibility. SNP-700T/G is in linkage disequilibrium with SNPc.1135C/T, at collagen XVIII frizzled domain. We could not elucidate SNPc.1135C/T functionality in vitro, but the haplotypes formed by these two SNPs have different frequencies in European and African descendants. In conclusion, our work brings important contributions and opens new perspectives for the comprehension of collagen XVIII regulation in human liver in physiological situations, as well as in fibrotic/cirrhotic and tumorigenic process.

A metilação do DNA é uma alteração epigenética que atua na regulação da expressão gênica. A deficiência de vitaminas (cobalamina, B6 e folato) pode interferir na taxa de metilação. O efeito da deficiência destas vitaminas foi determinado em estudos com cultura de células e em animais. No entanto, são raros os estudos realizados com seres humanos. Os objetivos deste trabalho foram: avaliar a taxa de metilação do DNA de leucócitos na região promotora dos genes Interferon gama (IFNγ), Serpin B5 e Stratifin; verificar se existe associação entre as concentrações das vitaminas e dos metabólitos com a taxa de metilação do DNA dos 3 genes; e analisar quais são os fatores de predição para a taxa de metilação do DNA (variável dependente) considerando como variáveis independentes os valores séricos das vitaminas e metabólitos, em mulheres com idades gestacionais de 16, 28 e 36 semanas. Cento e oitenta e três mulheres foram convidadas a participar desse estudo, porém apenas 96 completaram o estudo prospectivo. Foram determinadas as concentrações séricas da cobalamina (Cbl), folato, vitamina B6, S-adenosilmetionina (SAM), S-adenosilhomocisteína (SAH), ácido metilmalônico (MMA), homocisteína total (tHcy) e folato eritrocitário. A taxa de metilação nos 3 genes foi determinada por qMSP (Quantitative Methylation Specific - Polimerase Chain Reaction). Várias mulheres estavam fazendo uso de suplementação com ácido fólico e/ou polivitamínicos. Diante deste fato foram formados 4 subgrupos: Grupo 1 (constituído por mulheres que não usaram suplementação), Grupo 2 (mulheres que usaram suplementação em todas as idades gestacionais estudadas - 16, 28 e 36 semanas), Grupo 3 (mulheres que usaram suplementação no início da gestação até a 16ª semana) e Grupo 4 (mulheres que usaram suplementação na 16ª e 28ª semana gestacional). Não houve diferença entre as taxas de metilação do DNA dos genes IFNγ, Serpin B5 e Stratifin durante o período gestacional estudado. As taxas de metilação no gene IFNγ do grupo 1 foram maiores, quando comparadas as taxas dos demais grupos. Em modelos de regressão linear múltipla, considerando o período gestacional como um todo, apenas a vitamina B6 e a tHcy foram diretamente associadas aos valores da taxa de metilação do gene IFNγ. No entanto, a vitamina B6 foi inversamente associada, enquanto que tHcy esteve diretamente associada aos valores da taxa de metilação do gene Stratifin. A taxa de metilação não sofre alterações durante a gestação; a vitamina B6 e a tHcy foram os fatores de predição para as taxas de metilação do DNA na região promotora dos genes IFNγ e Stratifin. / DNA methylation is an epigenetic modification that regulates gene expression. Cobalamin, vitamin B6 and folate deficiencies can impair the DNA methylation index. Studies involving cultured cells and animals have evaluated the effect of vitamin deficiencies in DNA methylation. However, few studies were conducted in humans. The goals of this study were: to evaluate the leukocyte DNA methylation index in the promoter region of interferon gamma (IFNγ), Serpin B5 and Stratifin genes; to assess the association between vitamins and metabolites concentrations and DNA methylation index in three genes; and to examine the predictive factors for DNA methylation index using as independent variables: serum folate, serum cobalamin, serum vitamin B6, erythrocyte folate, methylmalonic acid (MMA), total homocysteine (tHcy) in three gestational ages (16th, 28th and 36,th weeks). A hundred eighty three women were included, but only 96 completed the prospective study. The serum concentrations of cobalamin, folate, vitamin B6, S-adenosylmethionine (SAM), Sadenosylhomocysteine (SAH), MMA, tHcy were determined. The erythrocyte folate concentration was also evaluated. The DNA methylation index was determined in three genes by qMSP (Quantitative Methylation Specific - Polymerase Chain Reaction). Several women were taking folic acid supplementation and/or multivitamins. Four groups were formed according to supplementation use: Group 1 (women who take no supplementation), Group 2 (women who took supplements at 16th, 28th and 36th weeks of pregnancy), Group 3 (women who took supplements in early pregnancy and up to 16 weeks) and Group 4 (women who took supplements in the 16th and 28th week of pregnancy). There was no difference between the DNA methylation index in the IFNγ, Serpin B5 and Stratifin genes during the gestational periods studied. The DNA methylation index in the IFNγ gene in group 1 was higher than those indexes from other groups. In multiple linear regression models considering the gestational periods as a whole, only vitamin B6 and tHcy were directly associated to DNA methylation index in IFNγ gene. However, vitamin B6 was inversely associated, whereas tHcy was directly associated with values of DNA methylation in Stratifin. The DNA methylation index does not change during pregnancy, vitamin B6 and tHcy were the predictors of DNA methylation in the promoter region of IFNγ and Stratifin genes.

O colágeno XVIII é um componente das membranas basais com diversos domínios funcionais, como a endostatina e o domínio frizzled, que têm importante papel em processos celulares como proliferação e diferenciação. COL18A1 possui dois promotores alternativos: o promotor 1, que regula a síntese da variante NC11-303, e o promotor 2 responsável pelas variantes NC11- 728 e NC11-493, expressas por hepatócitos. Existe uma variação interindividual da endostatina circulante e da expressão do colágeno XVIII no fígado. A expressão do colágeno XVIII/endostatina foi correlacionada com a progressão tanto do hepatocarcinoma (HCC), quanto da fibrose/cirrose hepática. Elucidar a regulação da expressão de COL18A1 pode auxiliar na compreensão dessa variação interindividual e da progressão dessas doenças. Neste trabalho demos início a caracterização do promotor 2 do COL18A1. Identificamos na seqüência predita como promotora cinco regiões conservadas entre humanos e camundongos. A análise in silico e funcional dessas regiões revelou que os fatores de transcrição, Sp1, Sp3, YY1, Oct-1, C/EBPα e C/EBPβ, interagem com as mesmas. Demonstramos que C/EBPβaumenta a taxa de transcrição do promotor 2 em hepatócitos, e que existe uma correlação positiva da expressão de NC11-493 com C/EBPαe C/EBPβem tecido hepático cirrótico e tumoral. As expressões de C/EBPαem tecido hepático cirrótico e tumoral estão diretamente correlacionadas, enquanto que os níveis de NC11-493 nos tumores estão inversamente correlacionados com o tamanho dos mesmos. Mostramos a existência de diversos SNPs no promotor 2. O SNP-700T/G, funcional in vitro, afeta a interação de Sp3 e YY1 com essa região regulatória. A deleção da região do SNP indicou que ela possui elementos importantes para a transcrição em hepatócitos, apesar deste SNP não estar relacionado com o nível de expressão do colágeno XVIII em fígado fibrótico ou com susceptibilidade a HCC. O SNP- 700T/G está em desequilíbrio de ligação com o SNPc.1135C/T, no domínio frizzled do colágeno XVIII. Não foi possível elucidar a funcionalidade do SNPs c.1135C/T in vitro, mas os haplótipos formados por esses dois SNPs têm diferentes frequências entre descendentes de europeus e de africanos. Nosso trabalho traz importantes contribuições e abre novas perspectivas para a compreensão da regulação do colágeno XVIII em fígado humano, tanto em situações fisiológicas, quanto em processos fibrogênicos e tumorigênicos¶ / Collagen XVIII is a basal membrane component with several funcional domains, such as endostatin and frizzled domains, which have important roles in cellular processes such as proliferation and differentiation. COL18A1 has two promoter regions: promoter 1, that regulates the synthesis of NC11-303 isoform, and promoter 2, localized in intron 2, responsible for NC11-728 and NC11-493 isoforms expressed by hepatocytes. There is a large interindividual variation in circulating endostatin and in collagen XVIII liver expression. Collagen XVIII/endostatin levels were correlated with hepatocellular carcinoma (HCC) progression, as well as liver fibrosis/cirrhosis, conditions that precede HCC. Elucidating the mechanisms that regulate COL18A1 expression in hepatocytes may help understanding its variation among individuals and liver disease stages, as well as contribute to new treatment strategies. In this work we began to characterize COL18A1 promoter region 2. We identified in the predicted promoter sequence five conserved regions between human and mouse. The in silico and functional analysis of these regions revealed that transcription factors Sp1, Sp3, YY1, Oct-1, C/EBPα and C/EBPβ interact with them. We have demonstrated that C/EBPβ increases promoter 2 transcription rate in hepatocytes, and that there is a positive correlation of NC11-493 expression with that of C/EBPα and C/EBPβ in cirrhotic and tumor liver samples. Non-tumor and tumor C/EBPα expressions positively correlate between themselves, while NC11-493 tumor expression inversely correlates with tumor size. We also showed that there are several SNPs in COL18A1 promoter 2 region. SNP-700T/G, functional in vitro, affects Sp3 and YY1 interaction with the promoter 2 region and deletion of the SNP region indicated that this sequence has important hepatocyte regulatory elements. Our results suggest that this SNP does not significantly affects COL18A1 expression in fibrotic/cirrhotic liver and is not associated with HCC susceptibility. SNP-700T/G is in linkage disequilibrium with SNPc.1135C/T, at collagen XVIII frizzled domain. We could not elucidate SNPc.1135C/T functionality in vitro, but the haplotypes formed by these two SNPs have different frequencies in European and African descendants. In conclusion, our work brings important contributions and opens new perspectives for the comprehension of collagen XVIII regulation in human liver in physiological situations, as well as in fibrotic/cirrhotic and tumorigenic process.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

O Brasil tem a maior produção de cana-de-açúcar do mundo. O cultivo de cana-de-açúcar no Brasil está voltado principalmente para a produção de açúcar ou Etanol e nos últimos anos para a produção de bioeletricidade através da utilização da biomassa do bagaço e da palha. Apesar da importância econômica e do potencial sustentável que a cana-de-açúcar apresenta, o genoma de referência para esta cultura ainda não está disponível na literatura. A principal justificativa para isso está na complexidade do mesmo, em especial pela alopoliploidia e autopoliploidia. De fato esta característica é a principal barreira para o desenvolvimento de novas variedades comerciais. Na literatura há diferentes estratégias que visam contribuir com o conhecimento genômico de cana-de-açúcar sendo mais prevalente dados de transcriptoma e pouca informação sobre o processo de regulação gênica. Além disso, diferente do que é observado em outras culturas comerciais, em cana-de-açúcar não há trabalhos associados com a caracterização in silico da região Promotora, assim como na identificação de sítios de ligação para Fatores de Transcrição (TFBSs). Por esta razão, o nosso trabalho foi direcionado para a caracterização in silico de regiões regulatórias em cana-de-açúcar. Para esta tarefa nós realizamos apenas a rotulação de sequências de DNA não codificante que estavam a upstream de cada gene anotado em cana-de-açúcar. Todos os genes foram selecionados de dados de transcriptoma e a sequência de DNA da região Promotora foi isolada do Genespace de cana-de-açúcar SP80-3280 gerado pelo projeto de sequenciamento do genoma de referência do nosso grupo. A rotulação da região regulatória em cana-de-açúcar foi executada em duas subsequências: Core Promoter e Promotor Proximal. Na região Core Promoter nós realizamos a identificação do sítio de inicio de transcrição (TSS), a estimativa do tamanho da região 5\' UTR e a classificação da região Core Promoter em TATA-box ou TATA-less. Todos os processos foram realizados através da ferramenta TSSPlant. A utilização da ferramenta TSSPlant motivou o desenvolvimento de uma nova ferramenta para predição do sinal de TSS que aqui chamamos de TSSFinder. A ferramenta TSSinder apresentou resultados de predição do sinal de TSS superior aos seus pares, além disso esta ferramenta foi bem sucedida em diferentes organismos como Arabidopsis thaliana, Gallus gallus e Saccharomyces cerevisiae. Na região Promotora Proximal nós realizamos a identificação de TFBSs através de duas metodologias: predição de novo e mapeamento de matrizes de TFBS (PSSM). O processo de predição de novo foi realizada por meio de dois modelos: Maximização da expectativa e Gibbs Sampler e esse processo foi executado apenas para o subgrupo de genes co-expressos ou apenas para o conjunto de sequências homeólogas de cada gene de cana-de-açúcar selecionado. Para o restante das sequências foi realizado apenas o mapeamento das matrizes de TFBSs identificadas durante o processo de predição de novo. Em paralelo todos TFBSs identificados no nosso trabalho foram comparados com o banco de TFBS para plantas. Através desse procedimento foi possível estimar qual classe de Fator de Transcrição está interagindo com o TFBS identificado na região Promotora Proximal dos genes Scdr1, ScSuSy, ScPAL. Com este trabalho, nós cobrimos parte da lacuna observada em estudos in silico paras regiões regulatórias de cana-de-açúcar. Além disso, nós aperfeiçoamos o processo de identificação do sinal de TSS para diferentes organismos; inclusive para plantas Dicotiledôneas e Monocotiledôneas. / Brazil has the highest production of sugarcane in the world. Its cultivation in Brazil is aimed at producing of sugar or ethanol and in recent years, biomass for bioenergy from bagasse and straw. Despite the economic importance and the sustainable potential that sugarcane presents, a reference genome for this crop is not yet available in the literature. One justification for this absence lies in the sugarcane genome complexity, allopolyploidy and autopolyploidy. In fact these characteristics are the main barrier for the development of new commercial varieties. In the literature different strategies aimed at contributing to genomic sugarcane mostly on the transcriptome and little information on the process of gene regulation. Furthermore, unlike other commercial crops, sugarcane has no reported in silico characterization of its promoter regions and identification of Transcription Factor binding sites. For this reason, our work was directed to an in silico characterization of regulatory regions in sugarcane. For this task we performed the labeling of non-coding DNA sequences that were upstream of each gene annotated in sugarcane. All genes were using from transcriptome data and the promoter region DNA sequence was isolated from Genespace of the SP80-3280 reference genome obtained of our group. The labeling of the regulatory region in sugarcane was carried out in two subsections: Core Promoter and Proximal Promoter. In the Core Promoter region we performed the identification of the TSS signal, the estimation of the size of the 5\' UTR region and the classification of the Core Promoter region in TATA-box or TATA-less. All processes were performed using the TSSPlant tool. The use of the TSSPlant tool motivated the development of a new tool to predict the TSS signal that we call TSSFinder. The TSSinder tool presented TSS signal prediction results superior to its peers, moreover this tool was successful in different organisms - Arabidopsis thaliana, Gallus gallus and Saccharomyces cerevisiae. In the Proximal Promoter region we performed the identification of TFBSs through two methodologies: de novo prediction and mapping of TFBS matrices (PSSM). The de novo prediction process was performed using two models: Expectancy Maximization and Gibbs Sampler and this process was performed only for subgroups of coexpressed genes or only for the set of homeologues sequences from each sugarcane gene. For the rest of the sequences only the mapping of the matrices of TFBSs identified during the de novo prediction process was conducted. In parallel all TFBSs identified in our work were compared with the TFBS database for plants. Through this procedure it was estimated which class of Transcription Factor is interacting with the TFBS identified in the Proximal Promoter region of the Scdr1, ScSuSy, ScPAL genes.With this work, we cover part of the gap observed in in silico studies for the regulatory region of sugarcane. In addition, we improved the process of identification the TSS signal for different organisms including dicotyledonous and monocotyledonous plants.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Promoter region is the key regulatory region, which enables the gene to be transcribed or repressed by anchoring RNA polymerase and other transcription factors, but it is difficult to determine experimentally. Hence an in silico identification of promoters is crucial in order to guide experimental work and to pin point the key region that controls the transcription initiation of a gene. Analysis of various genome sequences in the vicinity of experimentally identified transcription start sites (TSSs) in prokaryotic as well as eukaryotic genomes had earlier indicated that they have several structural features in common, such as lower stability, higher curvature and less bendability, when compared with their neighboring regions. In this thesis work, the variation observed for these DNA sequence dependent structural properties have been used to identify and delineate promoter regions from other genomic regions. Since the number of bacterial genomes being sequenced is increasing very rapidly, it is crucial to have procedures for rapid and reliable annotation of their functional elements such as promoter regions, which control the expression of each gene or each transcription unit of the genome. The thesis work addresses this requirement and presents step by step protocols followed to get a generic method for promoter prediction that can be applicable across organisms. The each paragraph below gives an overall idea about the thesis organization into chapters. An overview of prokaryotic transcriptional regulation, structural polymorphism adapted by DNA molecule and its impact on transcriptional regulation has been discussed in introduction chapter of this thesis (chapter 1). Standardization of promoter prediction methodology - Part I Based on the difference in stability between neighboring upstream and downstream regions in the vicinity of experimentally determined transcription start sites, a promoter prediction algorithm has been developed to identify prokaryotic promoter sequences in whole genomes. The average free energy (E) over known promoter sequences and the difference (D) between E and the average free energy over the random sequence generated using the downstream region of known TSS (REav) are used to search for promoters in the genomic sequences. Using these cutoff values to predict promoter regions across entire E. coli genome, a reliability of 70% has been achieved, when the predicted promoters were cross verified against the 960 transcription start sites (TSSs) listed in the Ecocyc database. Reliable promoter prediction is obtained when these genome specific threshold values were used to search for promoters in the whole E. coli genome sequence. Annotation of the whole E. coli genome for promoter region has been carried out with 49% accuracy. Reference Rangannan, V. and Bansal, M. (2007) Identification and annotation of promoter regions inmicrobial genome sequences on the basis of DNA stability. J Biosci, 32, 851-862. Standardization of promoter prediction methodology - Part II In this chapter, it has been demonstrated that while the promoter regions are in general less stable than the flanking regions, their average free energy varies depending on the GC composition of the flanking genomic sequence. Therefore, a set of free energy threshold values (TSS based threshold values), from the genomic DNA with varying GC content in the vicinity of experimentally identified TSSs have been obtained. These threshold values have been used as generic criteria for predicting promoter regions in E. coli and B. subtilis and M. tuberculosis genomes, using an in-house developed tool ‘PromPredict’. On applying it to predict promoter regions corresponding to the 1144 and 612 experimentally validated TSSs in E. coli (genome %GC : 50.8) and B. subtilis (genome %GC : 43.5) sensitivity of 99% and 95% and precision values of 58% and 60%, respectively, were achieved. For the limited data set of 81 TSSs available for M. tuberculosis (65.6% GC) a sensitivity of 100% and precision of 49% was obtained. Reference Rangannan, V. and Bansal, M. (2009) Relative stability of DNA as a generic criterion for promoter prediction: whole genome annotation of microbial genomes with varying nucleotide base composition. Mol Biosyst, 5, 1758 - 1769. Standardization of promoter prediction methodology - Part III In this chapter, the promoter prediction algorithm and the threshold values have been improved to predict promoter regions on a large scale over 913 microbial genome sequences. The average free energy (AFE) values for the promoter regions as well as their downstream regions are found to differ, depending on their GC content even with respect to translation start sites (TLSs) from 913 microbial genomes. The TSS based cut-off values derived in chapter 3 do not have cut-off values for both extremes of GC-bins at 5% interval. Hence, threshold values have been derived from a subset of translation start sites (TLSs) from all microbial genomes which were categorized based on their GC-content. Interestingly the cut-off values derived with respect to TSS data set (chapter 3) and TLS data set are very similar for the in-between GC-bins. Therefore, TSS based cut-off values derived in chapter 2 with the TLS based cut-off values have been combined (denoted as TSS-TLS based cutoff values) to predict promoters over the complete genome sequences. An average recall value of 72% (which indicates the percentage of protein and RNA coding genes with predicted promoter regions assigned to them) and precision of 56% is achieved over the 913 microbial genome dataset. These predicted promoter regions have been given a reliability level (low, medium, high, very high and highest) based on the difference in its relative average free energy, which can help the users design their experiments with more confidence by using the predictions with higher reliability levels. Reference Rangannan, V. and Bansal, M. (2010) High Quality Annotation of Promoter Regions for 913 Bacterial Genomes. Bioinformatics, 26, 3043-3050. Web applications PromBase : The predicted promoter regions for 913 microbial genomes were deposited into a public domain database called, PromBase which can serve as a valuable resource for comparative genomics study for their general genomic features and also help the experimentalist to rapidly access the annotation of the promoter regions in any given genome. This database is freely accessible for the users via the World Wide Web http://nucleix.mbu.iisc.ernet.in/prombase/. EcoProm : EcoProm is a database that can identify and display the potential promoter regions corresponding to EcoCyc annotated TSS and genes. Also displays predictions for whole genomic sequence of E. coli and EcoProm is available at http://nucleix.mbu.iisc.ernet.in/ecoprom/index.htm. PromPredict : The generic promoter prediction methodology described in previous chapters has been implemented in to an algorithm ‘PromPredict’ and available at http://nucleix.mbu.iisc.ernet.in/prompredict/prompredict.html. Analysing the DNA structural characteristic of prokaryotic promoter sequences for their predominance Sequence dependent structural properties and their variation in genomic DNA are important in controlling several crucial processes such as transcription, replication, recombination and chromatin compaction. In this chapter 6, quantitative analysis of sequences motifs as well as sequence dependent structural properties, such as curvature, bendability and stability in the upstream region of TSS and TLS from E. coli, B. subtilis and M. tuberculosis has been carried out in order to assess their predictive power for promoter regions. Also the correlation between these structural properties and GC-content has been investigated. Our results have shown that AFE values (stability) gives finer discrimination rather than %GC in identifying promoter regions and stability have shown to be the better structural property in delineating promoter regions from non-promoter regions. Analysis of these DNA structural properties has been carried out in human promoter sequences and observed to be correlating with the inactivation status of the X-linked genes in human genome. Since, it is deviating from the theme of main thesis; this chapter has been included as appendix A to the main thesis. General conclusion Stability is the ubiquitous DNA structural property seen in promoter regions. Stability shows finer discrimination for promoter prediction rather than directly using %GC-content. Based on relative stability of DNA, a generic promoter prediction algorithm has been developed and implemented to predict promoter regions on a large scale over 913 microbial genome sequences. The analysis of the predicted regions across organisms showed highly reliable predictive performance of the algorithm.