In eubacteria, ribosome stalling on broken messenger RNA transcripts can lead to cell death. The trans-translation quality control mechanism rescues many of these stalled ribosomes. In this process, tmRNA enters stalled ribosomes by mimicking a transfer RNA, accepting the stalled nascent peptide. The ribosome then releases the broken mRNA and resumes translation on a coding region within tmRNA itself. Translation of tmRNA marks the nascent peptide for destruction by the addition of a short proteolysis tag and the ribosome is released at a stop codon within the tmRNA open reading frame. An intriguing aspect of trans-translation is that the ribosome synthesizes one protein from two RNA templates. How is the proper site chosen on tmRNA to resume translation? Do the conserved pseudoknot structures help set the reading frame? Using a genetic selection to assay libraries of tmRNA mutants, we found that stable hairpin structures can functionally replace pseudoknot 1. We conclude that the role of pseudoknot 1 in tmRNA function is purely structural. Our results demonstrate that the inactivity of an RNA mutant designed to destroy a given structure should not be interpreted as proof that the structure is necessary for RNA function. Such mutations may only destabilize a global fold that could be formed equally well by an entirely different, stable structure. Broken mRNAs are not the only cause of ribosome stalling; stalling can also result from nascent peptide interactions with the ribosomal exit tunnel that inhibit peptidyl-transferase activity. SecM, TnaC, and ErmCL all stall ribosomes to regulate the expression of downstream genes. What other peptide sequences can cause ribosome stalling? We modified our tmRNA-based selection to screen libraries of random peptides and identified a number of novel stalling peptides, including the sequence FxxYxIWPP. This sequence interacts with the exit tunnel differently than SecM and TnaC as seen in studies using mutant ribosomes. Like SecM, stalling occurs on this sequence with the next aminoacyl tRNA trapped in the A site but unable to react with the nascent peptide. These results show that a variety of peptides can interact in the exit tunnel and peptidyl-transferase center to regulate ribosome activity.

Diese Arbeit untersucht den Zusammenhang zwischen Mechanismen der translationalen Regulation und der Genomorganisation in Bakterien. Der erste Teil der Arbeit analysiert die Beziehung zwischen der Translationseffizienz von Genen und der Häufigkeit bestimmter Codons am Genanfang. Es ist bekannt, dass die Häufigkeitsverteilung der Codons am Anfang der Gene bei einigen Organismen eine andere ist als sonst im Genom. Durch die systematische Analyse von ungefähr 400 bakteriellen Genomen, evolutionären Simulationen und experimentellen Untersuchungen sind wir zu dem Schluss gekommen, dass die beobachtete Abweichung der Codonhäufigkeiten wohl eine Konsequenz der Notwendigkeit ist, RNA Sekundärstruktur in der Nähe des Translationsstarts zu vermeiden und somit eine effiziente Initiation der Translation zu gewährleisten. Im zweiten Teil der Arbeit untersuchen wir den Einfluss der Genreihenfolge innerhalb eines Operons auf die Fitness von E. coli. In bakteriellen Genomen vereint ein Operon funktionell zusammengehörige Gene, die in einer mRNA zusammen transkribiert werden und somit in der Expression stark korreliert sind. Daneben kann die translationale Kopplung, d. h. die Interdependenz der Translationseffizienz zwischen benachbarten Genen innerhalb einer solchen mRNA, eine bestimmte Proteinstöchiometrie weiter stabilisieren. Mithilfe eines Modells für die translationale Kopplung sowie für den Chemotaxis Signalweg konnten wir zeigen, dass die native Genreihenfolge eine der Permutationen ist, die am meisten zur Robustheit der Chemotaxis beitragen. Die translationale Kopplung ist daher ein wichtiger Faktor, der die Anordnung der Gene innerhalb des Chemotaxis Operon bestimmt. Diese Arbeit zeigt, dass die Anforderungen einer effizienten Genexpression sowie die Robustheit wichtiger zellulärer Funktionen einen Einfluss auf die Organisation eines Genoms haben können: einerseits bei der Wahl der Codons am Anfang der Gene, andererseits auf die Ordnung der Gene innerhalb eines Operons. / This work investigates the relationship between mechanisms of translational regulation and genome organization in bacteria. The first part analyzes the connection between translational efficiency and codon usage at the beginning of genes. It is known for some organisms that usage of synonymous codons at the gene start deviates from the codon usage elsewhere in the genome. By analyzing about 400 bacterial genomes, evolutionary simulations and experimental investigations, we conclude that the observed deviation of codon usage at the beginning of genes is most likely a consequence of the need to suppress mRNA structure around the ribosome binding site, thereby allowing efficient initiation of translation. We investigate further driving forces for genome organization by studying the impact of gene order within an operon on the fitness of bacterial cells. Operons group functionally related genes which are transcribed together as single mRNAs in E. coli and other bacteria. Correlation of protein levels is thus to a large extent attributed to this coupling on the transcriptional level. In addition, translational coupling, i.e. the interdependence of translational efficiency between neighboring genes within such a mRNA, can stabilize a desired stoichiometry between proteins. Here, we study the role of translational coupling in robustness of E. coli chemotaxis. By employing a model of translational coupling and simulating the underlying signal transduction network we show that the native gene order ranks among the permutations contributing most to robustness of chemotaxis. We therefore conclude that translational coupling is an important determinant of the gene order within the chemotaxis operon. Both these findings show that requirements for efficient gene expression and robustness of cellular function have a pronounced impact on the genomic organization, influencing the local codon usage at the beginning of genes and the order of genes within operons.

No description available.

Les systèmes toxine-antitoxine (TA) sont de petits modules génétiques largement présents dans les génomes bactériens. Ils codent pour une petite protéine toxique et une antitoxine. Ils sont classés en six types en fonction de la nature et du mode d'action de l'antitoxine. Ce travail a porté sur l'étude du type I, pour lequel l'antitoxine est un ARN antisens qui cible l'ARNm de la toxine afin de réprimer son expression. Au cours de cette thèse, nous avons étudié le système aapA3/IsoA3, codé sur le chromosome du pathogène gastrique humain Helicobacter pylori. À ce jour, la plupart des systèmes TA ont été étudiés à l'aide de systèmes d'expression artificiels, qui ne permettent pas de caractériser la régulation transcriptionnelle ou post-transcriptionnelle. En utilisant la létalité induite par l’expression chromosomique de la toxine obtenue en absence d’antitoxine, nous avons développé une sélection génétique de mutants suppresseurs révélés par séquençage haut-débit. Cette approche, appelée FASTBAC-Seq, nous a permis de cartographier une myriade de déterminants de toxicité localisés dans les régions codantes et non codantes du gène de la toxine AapA3. En particulier, certaines de ces mutations ont révélé l'existence de tige-boucles ARN transitoires qui agissent de manière co-transcriptionnelle pour empêcher l'initiation de la traduction pendant la synthèse de l'ARNm codant pour la toxine. Ces structures ARN métastables fonctionnelles sont nécessaires pour découpler les processus de transcription et de traduction et permettent la présence de ces gènes toxiques sur le chromosome bactérien. Bien que les ARNm non traduits deviennent rapidement instables, nos travaux ont également révélé l'existence de deux tige-boucles protectrices situées aux deux extrémités de l'ARNm. Ces structures secondaires empêchent des activités exonucléolytiques agissant en 5' et 3'. Dans l’ensemble, notre travail met en évidence les conséquences de la forte pression de sélection pour limiter l'expression des toxines sous laquelle évoluent les systèmes TA. Cela nous a permis de mieux comprendre l’influence du repliement secondaire des ARNm, non seulement lors de la régulation posttranscriptionnelle, mais aussi co-transcriptionnelle de l’expression de cette famille particulière de gènes. Ces caractéristiques de régulation basées sur l'ARN peuvent être exploitées à l'avenir pour des applications biotechnologiques (p. ex., production accrue de protéines par stabilisation d'ARNm) ou biomédicales (p.ex., développement de stratégies antimicrobiennes alternatives pour l'activation de la synthèse de toxines). / Toxin-antitoxin (TA) systems are small genetic modules widely present in bacterial genomes. They usually code for a small toxic protein and its cognate antitoxin and can be classified into six types depending on the nature and mode of action of the antitoxin. This work focuses on the study of type I, for which the antitoxin is an antisense RNA that targets the toxin mRNA to inhibit its expression. We characterized the aapA3/IsoA3 system, encoded on the chromosome of the human gastric pathogen Helicobacter pylori. To date, most TAs have been studied using artificial expression systems, which do not allow the characterization of transcriptional or post-transcriptional regulation. Taking advantage of the lethality induced by the toxin chromosomal expression in the absence of antitoxin, we developed a high-throughput genetic selection of suppressor mutations revealed by Next-Generation Sequencing. This approach, named FASTBAC-Seq, allowed us to map a myriad of toxicity determinants located in both, coding and noncoding regions, of the aapA3 toxic gene. More precisely, some suppressor mutations revealed the existence of transient RNA hairpins that act co-transcriptionally to prevent translation initiation while the toxinencoding mRNA is being made. Such functional RNA metastable structures are essential to uncouple the transcription and translation processes and allow the presence of these toxic genes on bacterial chromosomes. Although untranslated mRNAs become rapidly unstable, our work also revealed the presence of two protective stem-loops located at both mRNA ends that prevent from both, 5’ and 3’ exonucleolytic activity. Altogether, our work evidenced the consequences of the strong selection pressure to silence toxin expression under which the TAs evolve, and highlighted the key role of mRNA folding in the co- and post-transcriptional regulation of this family of genes. These RNA-based regulatory mechanisms may be exploited in the future for biotechnological (e.g., increased protein production through mRNA stabilization) or biomedical (e.g., development of alternative antimicrobial strategies aiming at the activation of toxin synthesis) applications.

The evolutionary options of a population are strongly influenced by the avail- ability of adaptive mutants. In this thesis, I use the concept of neutral networks to show that neutral drift can actually increase the accessibility of adaptive mu- tants, and therefore facilitate adaptive evolutionary change. Neutral networks are groups of unique genotypes which all code for the same phenotype, and are connected by simple point mutations. I calculate the size and shape of the networks in a small but exhaustively enumerated space of RNA genotypes by mapping the sequences to RNA secondary structure phenotypes. The qual- itative results are similar to those seen in many other genotype–phenotype map models, despite some significant methodological differences. I show that the boundary of each network has single point–mutation connections to many more phenotypes than the average individual genotype within that network. This means that paths involving a series of neutral point–mutation steps across a network can allow evolution to adaptive phenotypes which would otherwise be extremely unlikely to arise spontaneously. This can be likened to walking along a flat ridge in an adaptive landscape, rather than traversing or jumping across a lower fitness valley. Within this model, when a genotype is made up of just 10 bases, the mean neutral path length is 1.88 point mutations. Furthermore, the map includes some networks that are so convoluted that the path through the network is longer than the direct route between two sequences. A minimum length adaptive walk across the genotype space usually takes as many neutral steps as adaptive ones on its way to the optimum phenotype. Finally I show that the shape of a network can have a very important affect on the number of generations it takes a population to drift across it, and that the more routes between two sequences, the fewer generations required for a population to find an advantageous sequence. My conclusion is that, within the RNA map at least, the size, shape and connectivity of neutral networks all have a profound effect on the way that sequences change and populations evolve, and by not considering them, we risk missing an important evolutionary mechanism.

Mis à part les liaisons hydrogène, d’autres interactions non covalentes participent dans les réseaux de reconnaissance ARN et ARN protéines. Parmi celles-ci, j’ai étudié les interactions oxygène-pi. Cette interaction prend la forme phosphate-pi dans les U turns et O4'-pi dans les motifs ARN-Z. Je propose une nouvelle classification des boucles de quatre nucléotides, décrivant les U turn et les Z turn à partir d’interactions oxygène-pi. De plus, les motifs "Z like" présents dans tous les ARN, sont aussi reconnus par certaines protéines immunologiques. Pour mieux comprendre les réseaux de reconnaissance biomoléculaire, nous avons examiné les interactions entre cations/anions et ARN. Nous avons trouvé de nombreuses erreurs dans les structures de la PDB et proposé des règles pour améliorer l'attribution d’espèces ioniques. Les résultats de cette thèse amélioreront notre connaissance des réseaux de reconnaissance biomoléculaire et aideront aux techniques de modélisation structurale des ARN. / Together with hydrogen bonds, uncommon non-covalent interactions are fundamental for recognition networks in RNA and RNA-protein systems. Among them, I focused on oxygen-pi stacking. This interaction takes the form of phosphate-pi within U-turns and of ribose O4’-pi within “Z-RNA” motifs. In that respect, a novel classification of tetraloops is proposed, defining U-turns and Z-turns based on their oxygen-pi stacking properties. Further, “Z-like” motifs are found to pervade small and large RNAs, being also a recognition pattern for immunology-related proteins. To better understand biomolecular recognition networks, we reviewed the binding of metal ions and anions within RNA, finding many examples of ions misattribution in PDB structures. We propose rules to avoid attribution errors. The results of this thesis will improve our knowledge and understanding of biomolecular recognition networks, as well as assist structural determination and structural modelling techniques of RNA systems.

Background: RNA secondary structure prediction by energy minimization is the central computational tool for the analysis of structural non-coding RNAs and their interactions. Sparsification has been successfully applied to improve the time efficiency of various structure prediction algorithms while guaranteeing the same result; however, for many such folding problems, space efficiency is of even greater concern, particularly for long RNA sequences. So far, spaceefficient sparsified RNA folding with fold reconstruction was solved only for simple base-pair-based pseudo-energy models. Results: Here, we revisit the problem of space-efficient free energy minimization. Whereas the space-efficient minimization of the free energy has been sketched before, the reconstruction of the optimum structure has not even been discussed. We show that this reconstruction is not possible in trivial extension of the method for simple energy models. Then, we present the time- and space-efficient sparsified free energy minimization algorithm SparseMFEFold that guarantees MFE structure prediction. In particular, this novel algorithm provides efficient fold reconstruction based on dynamically garbage-collected trace arrows. The complexity of our algorithm depends on two parameters, the number of candidates Z and the number of trace arrows T; both are bounded by n2, but are typically much smaller. The time complexity of RNA folding is reduced from O(n3) to O(n2 + nZ); the space complexity, from O(n2) to O(n + T + Z). Our empirical results show more than 80 % space savings over RNAfold [Vienna RNA package] on the long RNAs from the RNA STRAND database (≥2500 bases). Conclusions: The presented technique is intentionally generalizable to complex prediction algorithms; due to their high space demands, algorithms like pseudoknot prediction and RNA–RNA-interaction prediction are expected to profit even stronger than \"standard\" MFE folding. SparseMFEFold is free software, available at http://www.bioinf.unileipzig. de/~will/Software/SparseMFEFold.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / CHAPTER I - Prostate cancer is a common disease in the world and in some countries it is one of the main causes of male population mortality. Some molecular markers have been associated with prostate carcinogenesis. To observe changes in transcript levels of the AR, SRD5A2, KLK2, PSMA and PCA3 genes, the mRNA was analyzed in tissues with prostatic adenocarcinoma (PCa, N= 48) and benign prostatic hyperplasia (BPH, N= 25), performed through a differential multiplex RT-PCR assay. Significant differences were observed in the relative expression of these genes between cancerous and non-cancerous tissues. The optical density ratio of the cDNA amplicons between PCa and BPH for the AR gene was 1.6-fold higher for the prostatic adenocarcinoma. On the other hand, the SRD5A2 mRNA levels were associated with BPH and were 1.4-fold higher than that of PCa. For KLK2, PSMA and PCA3, the transcriptional levels were respectively, 1.9-, 1.9- and 5-fold higher in PCa than those in BPH tissues. Of the diagnostics tests carried through individually, the PCA3 gene was that presented higher sensitivity and accuracy, and the inclusion of the serum PSA improved the sensitivity (of 76 to 92%), positive preditive value (of 85 to 94%), negative preditive value (of 60 to 62%) and accuracy (of 74 to 78%). The results suggest that the higher AR, KLK2, PSMA, and PCA3 and/or reduced SRD5A2 genes expression in prostatic tissues may indicate the occurrence of prostate adenocarcinoma; however the PCA3 and serum PSA analysis together are highly promising as auxiliary method in the diagnosis of this cancer. CHAPTER II - Purpose: Prostate cancer (PCa) is the most commonly diagnosed malignancy in men, and it consists of multifactorial and multifocal events. Due to the complexity of the disease process, which includes genome alterations, local invasion, micrometastatic cell extravasations to circulation, invasion of secondary organ tissues, and resistance to hormonal blockage, many markers must be used to represent the multiple and variable events that lead to cancer development. The low specificity of the unique serum marker for prostate cancer diagnostics, PSA, has leaded us to investigate four potential markers in the peripheral blood of patients by detecting their mRNA levels and associating them to clinical parameters. Methods: The expression levels of the KLK2, KLK3, PCA3 and PSMA transcripts were determined by Nested RT-PCR. Patients with PCa (99) and with benign prostatic hyperplasia (BPH, 36), and healthy volunteers (104) were investigated. Results: Significant differences for the RNA relative levels have been found for the KLK2, PCA3 and PSMA transcripts between PCa and BPH patients or healthy volunteers. The KLK2 and PSMA levels also presented a positive association (P<0.05) with extra-prostatic disease (pT3). The combined positive RT-PCR Nested for the KLK2, PCA3, PSMA genes with serum PSA higher than 4ng/mL presented a 10-fold higher chance of cancer occurrence than healthy controls, with sensitivity, specificity and positive predictive value of 57%, 89% and 93%, respectively. Conclusions: The combined analysis of KLK2, PCA3 and PSMA transcripts may become a useful tool for the discrimination of PCa patients from those with benign disease or healthy individuals. Additionally, the KLK2 and PSMA transcripts may also be used as prognostic markers for the presence of extra-capsular disease and assisting in the prediction of the post-operative outcome. CHAPTER III - Purpose: Transcripts of PCA3/DD3 gene are at the moment the most specific molecule found in prostate cancer specimens. This mRNA can be detected in important sample targets for clinical analyses, such as prostatic tissues, urine after prostatic massage, and the peripheral blood. Methods: The present study evaluated the PCA3 gene expression in prostatic tissues and in peripheral blood of BPH and PCa patients, by RT-PCR assays, and based on its detection together with other clinical parameters, we proposed a model for molecular monitoring in order to improve diagnosis as an auxiliary technology. Results: The concomitant use of PCA3 transcript detection in the peripheral blood and in prostate tissues has improved diagnosis, with sensitivity and an accuracy of 77%. For the molecular staging, patients have been classified as: localized disease (PBL-; negative PCA3) and circulating tumors cells disease (PBL+; positive PCA3). The higher frequencies of PBL- had been observed in T1-T2 stages (75%); on the other hand, the higher PCA3 positivity was observed for the T3-T4 staging (43%), while the T1-T2 stages presented 25% positivity. A correlation was found between the molecular staging and serum PSA < 10ng/mL before surgery, and approximately 60% of patients with T3-T4 stages that presented biochemical failure after radical prostatectomy presented a positive PCA3 result (P= 0.05), with an odds ratio of 16-fold higher for the possibility of disease recurrence in relation to the T1-T2 patients, and an accuracy of 82%. Conclusion: These data demonstrated the importance of the PCA3 gene as an auxiliary method in prostate cancer diagnosis, by distinguishing PCa from BPH patients, and also demonstrated its prognostic value in recurrent disease for post-operative patients. CHAPTER IV - Approximately 98% of all the products transcribed in the human genome correspond to non coding RNAs (ncRNA). Many ncRNA functions are attributed to this structural particularity given mainly for the secondary structures formed from its linear sequence of bases. Among the ncRNA types are tRNA, rRNA, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) and catalytic RNAs (ribozymes). The bioinformatics has supplied useful tools in the prediction of optimal or suboptimal secondary structures allowing the design of interference RNA as miRNAs or siRNAs. In human, miRNAs have been associated with the development of diverse complex diseases as cancer. The PCA3 (DD3) gene was molecularly characterized as cancer and prostate specific, and its transcripts are non-coding, once no peptide products have been found. Due to its structural characteristics, the PCA3 gene belongs thus to the increasing family of ncRNA. In the present work, four new variant molecules of the PCA3 gene have been sequence characterized and their frequencies demonstrated in prostate cancer and in benign prostatic hyperplasia patients, as well as in healthy individuals. We have also investigated and predicted the putative secondary structures formed in order to elucidate its role in prostate cancer biology. No association has been found between the frequency of these molecules and prostate pathologies (PCa or BPH). On the other hand, PCA3 variants were found in 10% (12/115) of cases in the general population. Similar analyses of the possible polypeptides of these molecules demonstrated that it remains as a non-coding RNA, and introns presents in the first, second and fourth variants suggesting a possible role as a miRNA with intracellular activity to these molecules to the PCA3 gene. In prostatic tissues, 100% of the prostate cancer cases presented the RNA molecule with an exon 2 splicing. However, further investigation must be carried out to demonstrate the true role of these splicing variants in prostate tumors and in other pathologies, once these molecules have been preferentially found in the peripheral blood. / CAPÍTULO I - O câncer de próstata é uma doença comum no mundo e já assumiu em alguns países uma das principais causas de mortalidade da população masculina. Vários marcadores moleculares têm sido associados à gênese do câncer de próstata. A fim de demonstrar a expressão diferencial dos níveis transcricionais dos genes AR, SRD5A2, KLK2, PSMA e PCA3 em doenças prostáticas, o RNAm foi analisado em tecidos com adenocarcinoma prostático (CaP, N= 48) e hiperplasia prostática benigna (HPB, N= 25) por meio da técnica RT-PCR multiplex semi-quantitativa. Foram observadas diferenças significativas na expressão relativa desses genes entre os tecidos cancerosos e nãocancerosos. A taxa de densidade ótica entre os amplicons para cDNA provenientes do gene AR foi 1.6 vezes maior no adenocarcinoma prostático. Por outro lado, os níveis de RNAm do gene SRD5A2 foi associado com a HPB e foi 1.4 vezes maior do que no CaP. Para os genes KLK2, PSMA e PCA3, os níveis transcricionais foram respectivamente, 1.9, 1.9 e 5 vezes maior no câncer comparado a tecidos benignos. Dos testes diagnósticos realizados, o gene PCA3 individualmente foi o que apresentou as melhores sensibilidade e acurácia, sendo que a inclusão das medidas de PSA sérico melhorou a sensibilidade (de 76 para 92%), o valor preditivo positivo (de 85 para 94%), o valor preditivo negativo (de 60 para 62%) e a acurácia (de 74 para 78%). Os dados sugerem que a maior expressão dos genes AR, KLK2, PSMA e PCA3 ou expressão reduzida do gene SRD5A2 em tecidos prostáticos podem indicar a ocorrência do adenocarcinoma da próstata, sendo que as análises do gene PCA3 juntamente aos do PSA sérico são altamente promissores como método auxiliar no diagnóstico desse tipo de câncer. CAPÍTULO II - O câncer de próstata (CaP) e o mais comumente diagnosticado na população masculina e consiste de eventos multifatoriais e multifocais. Devido a complexidade da doença, a qual inclui alterações genômicas, invasão local, liberação de células micrometastáticas para a circulação, invasão secundaria de tecidos de outros órgãos, e resistência ao bloqueio hormonal, muitos marcadores podem ser usados para representar os eventos múltiplos e variáveis que levam ao desenvolvimento do câncer. A baixa especificidade do único marcador para diagnostico do câncer de próstata, PSA, tem nos levado a investigar quatro potenciais marcadores no sangue periférico de pacientes pela detecção de seus níveis de RNAm e associá-los a parâmetros clínicos. Os níveis de expressão dos transcritos do KLK2, KLK3, PCA3 e PSMA foram avaliados pela RT-PCR Nested, em pacientes com CaP (99), com hiperplasia prostática benigna (HPB, 36) e voluntários saudáveis (104). Diferenças significativas foram encontradas para a expressão dos genes KLK2, PSMA e PCA3 entre os pacientes com CaP e os pacientes com HPB ou voluntários saudáveis. Os níveis do KLK2 e PSMA também apresentaram associação positiva (P<0.05) com doença extra-prostática (pT3). A RT-PCR Nested positiva combinada para os genes KLK2, PCA3 e PSMA com PSA sérico maior que 4ng/mL apresentou uma chance 10 vezes maior de ocorrência do câncer comparado aos controles saudáveis, com sensibilidade, especificidade e acurácia de 57%, 89% e 93%, respectivamente. A análise combinada dos genes KLK2, PCA3 e PSMA pode ser uma ferramenta útil na distinção de pacientes com CaP daqueles com doença benigna ou de indivíduos saudáveis. Ainda, a analise dos transcritos KLK2 e PSMA podem ser usados como marcadores prognósticos para a presença de doença extra-capsular e auxiliando na predição de recidiva da doença no pós-operatório. CAPÍTULO III - Os transcritos do gene PCA3/DD3 são até o momento as moléculas mais específicas encontradas em espécimes de câncer de próstata. Esses RNAm podem ser detectados em importantes alvos para a análise clínica como tecidos prostáticos, na urina após massagem prostática e em sangue periférico. O presente estudo avaliou a expressão do gene PCA3 em tecidos prostáticos e em sangue periférico de pacientes com HPB e CaP, por técnicas de RT-PCR, e baseado na sua detecção juntamente com os parâmetros clínicos, foi proposto um modelo de estadiamento molecular como técnica assessória para melhor o diagnóstico da doença. O uso concomitante da detecção dos transcritos do gene PCA3 no sangue periférico e no tecido prostático melhorou o diagnóstico, com sensibilidade e acurácia de 77%. Para o estadiamento molecular, os pacientes foram classificados como contendo a doença localizada (PBL-) e em doença com células tumorais circulantes (PBL +). Maiores freqüências de tumor localizado pelo estadiamento molecular foram observadas nos estadios T1-T2 (75%), enquanto que 25 e 43% dos cânceres T1-T2 e T3-T4, respectivamente, apresentaram PCA3 positivo (células circulantes). Uma correlação foi encontrada para o estadiamento molecular para doença localizada e PSA sérico pré-cirúrgico < 10ng/mL, e aproximadamente 60% dos pacientes TNM T3-T4 que apresentaram falha bioquímica após a cirurgia radical apresentaram RTPCR positiva do PCA3 (P= 0.05), com um Odds Ratio 16 vezes maior para a possibilidade de recorrência da doença em relação aos pacientes T1-T2 e uma acurácia de 82%. Esses dados demonstram a importância da detecção do gene PCA3 como método no diagnóstico do câncer de próstata, por distinguir pacientes com CaP daqueles com HPB, e também demonstrando seu valor prognóstico na doença recorrente no pósoperatório dos pacientes. CAPÍTULO IV - Aproximadamente 98% de todos os produtos transcritos do genoma humano correspondem a RNAs não codificantes (RNAnc). Muitas funções dos RNAnc são atribuídas a suas particularidades estruturais dadas principalmente pelas estruturas secundárias formadas a partir da sua sequência linear de bases. Dentre os tipos de RNAnc estão os RNAt, RNAr, small nuclear RNA, small nucleolar RNA, small interference RNA (siRNA), microRNA (miRNA) e RNAs catalíticos (ribozimas). A bioinformática tem fornecido ferramentas úteis na predição de estruturas secundárias ótimas ou subótimas permitindo o design de RNAs de interferência como os miRNAs ou siRNAs. Em humanos, os miRNAs tem sido associados ao desenvolvimento de diversas doenças complexas como o câncer. O gene PCA3 (DD3) foi molecularmente caracterizado como câncer- e próstata- específico e os seus RNAs são os responsáveis por essa característica, isso porque nenhum produto protéico tem sido encontrado para esse gene. Devido às suas características estruturais, o gene PCA3, pertence assim à crescente família de RNAnc. No presente trabalho foi analisado as freqüências de quatro moléculas variantes do gene PCA3, além das anteriormente reportadas, como também foram preditas as suas estruturas secundárias na tentativa de elucidar o seu papel na biologia do câncer de próstata. Nenhuma associação foi encontrada entre a freqüência dessas moléculas e as patologias da próstata como hiperplasia benigna ou câncer, sendo que na população geral analisada essas variantes foram encontradas em apenas 10% (12/115) dos casos. As análises de homologia de possíveis polipeptídeos para essas moléculas demonstram que permanece o papel de RNA não-codificante para o gene PCA3. Ainda, a presença de introns nas variantes 1, 2 e 4 podem sugerir um papel intracelular de miRNA para essas moléculas do gene PCA3. Nos tecidos prostáticos, 100% dos casos de câncer foi representando pela molécula com splicing do exon 2. Contudo, para as variantes de splicing, novas pesquisas deverão ser realizadas incluindo outras patologias além das doenças prostáticas e outros tipos tumorais para verificar o real impacto dessas moléculas, uma vez que foram encontradas preferencialmente no sangue periférico. / Doutor em Genética e Bioquímica