O excesso de iodo inibe a proliferação celular e secreção hormonal, enquanto retarda os efeitos oncogênicos da ativação de RET/PTC3 na célula folicular tiroidiana. A mutação BRAF (T1799A) é a mais prevalente no câncer de tiroide, e modelo transgênico desenvolve câncer que progride para histotipo agressivo. Altos níveis de microRNAs (miRNAs) do cluster miR-17-92 estão associados a histotipos agressivos de câncer de tiroide e modulam a tradução de mRNAs alvo componentes de vias de sinalização oncogênicas. Neste estudo, avaliamos a influência da alta dose de iodo sobre miRNAs frente ativação do oncogene BRAF e seu efeito na biologia da célula folicular tiroidiana. A indução de BRAFT1799A ativa uma robusta expressão de miR-17-92 enquanto alta dose de iodo bloqueia este efeito na célula tiroidiana. miR-19 inibe a tradução de Smad4 e bloqueia a transdução do sinal de TGFb, efeito revertido pelo iodo. O iodo interfere na expressão de miR-17-92 por bloquear ativação da sinalização Notch induzida por BRAF. Estes resultados indicam que o iodo protege a célula folicular tiroidiana durante a indução de BRAFT1799A, revertendo a ativação dos miRNAs oncogênicos do cluster miR-17-92 e restaurando os níveis protéicos de Smad4 por interferir na via de sinalização Notch. / Iodine excess blocks cell proliferation and inhibits hormone synthesis, while delays oncogenic effects of RET/PTC3 activation in thyroid follicular cells. BRAF mutation (T1799A) is the most prevalent genetic alteration in thyroid cancer, and transgenic mice model for BRAF develops thyroid cancer that progress to aggressive histotypes. High levels of microRNAs (miRNAs) of miR-17-92 cluster are associated to aggressive thyroid cancer and modulate translation of target mRNAs in oncogenic signaling pathways. In this study, we evaluated the influence of high dose iodine in miRNAs under BRAF oncogene activation, and its effects in thyroid follicular cell biology. BRAF induction induces high expression of miR-17-92 while high dose iodine blocks this effect in thyroid follicular cells. miR-19 inhibits Smad4 translation and impairs TGFb signaling transduction, effect reverted by iodine. Iodine modulates miR-17-92 expression by interfering in BRAF-induced Notch signaling activation. These results indicate that iodine protects thyroid follicular cell during BRAF induction, reverting oncogenic miR-17-92 activation and restoring protein levels of Smad4 by Notch signaling modulation.

Le développement de Caenorhabditis elegans est finement régulé et aboutit au nombre constant de 959 cellules par individu. Une partie de ces régulations repose sur les microARN, ARN simple brin d’environ 22 nucléotides. Ils peuvent diminuer l'expression des gènes en ciblant des séquences homologues dans les régions 3' non transcrites (3'UTR) des ARN messagers. Pour déterminer l'impact de cette régulation, nous utilisons une méthode permettant de visualiser in vivo une différence d'expression induite post-transcriptionnellement. Cette méthode se base sur l'utilisation de deux protéines fluorescentes : la GFP (verte) et la mCherry (rouge) exprimées sous le contrôle du promoteur du gène d'intérêt. La mCherry est suivie par un 3'UTR contrôle et reflète l'activité du promoteur. La GFP est suivie par le 3'UTR du gène d'intérêt et subit les mêmes régulations que le gène endogène. La différence d'expression entre les deux protéines devrait donc refléter la régulation s'opérant sur le 3'UTR du gène. La transparence de C. elegans permet de localiser les protéines rapportrices par microscopie en fluorescence à tous les stades du développement dans l'organisme entier. Initialement, le 3'UTR du gène unc-54 (myosine de type II) a été choisi comme contrôle. Le rapporteur bicolore a révélé une régulation s’opérant sur unc-54 3’UTR jusqu’ici considérée comme permissif. La régulation observée s’opère dans les muscles et les neurones ADF. La caractérisation de cette régulation a permis de mettre en évidence le rôle potentiel de mir-1820. Le profil d’expression de mir-1820 a pu être établi grâce à une fusion avec la GFP et correspond au profil des régulations observées sur unc-54 3’UTR. / Caenorhabditis elegans development is very tightly regulated, leading to the same number of cells in each individual. Part of this regulation network relies on small single strand RNAs (miRNAs), which can target homologous sequences in the 3’ untranslated regions (3’UTR) of messenger RNAs. We want to investigate the contribution of miRNAs during neurons differentiation. In order to study the miRNA contribution to gene regulation we use double fluorescent reporters that allow us to visualize the posttranscriptional contribution to regulation throughout development. The GFP and the mCherry are expressed under the control of the gene promoter, but followed by either the 3’UTR of interest, or a control 3’UTR. We first chose as a control 3’UTR the unc-54 3’UTR (myosin class II). The gene unc-54 is expressed through all larval stages and in the adult worms. The two colors reporter system showed that unc-54 3’UTR undergoes a regulation in the ADF pair of neurons and partially in the body wall muscle. The characterization of this regulation pointed out a potential role for mir-1820. The GFP was cloned between mir1820 5’ and 3’ sequences and the construction displayed an expression profile overlapping with the regulation pattern observed on unc-54 3’UTR.

No description available.

L’arthrose est la pathologie articulaire la plus répandue et, avec l’allongement de l’espérance de vie, sa prévalence ne cesse d’augmenter. Elle se caractérise par une dégénérescence du cartilage articulaire associée à une inflammation synoviale et un remodelage anormal de l’os sous-chondral, qui résultent en une perte progressive de mobilité et des douleurs très handicapantes. Dans le cartilage, le chondrocyte est le seul type cellulaire et il est responsable de la synthèse des composants de la matrice extracellulaire (collagènes, protéoglycanes). Au cours de l’arthrose, le phénotype du chondrocyte est altéré et la balance synthèse/dégradation des composants matriciels est déséquilibrée en faveur de la dégradation du cartilage. Il n’existe actuellement aucun traitement permettant de ralentir efficacement l’évolution du processus arthrosique, de sorte que la recherche de biomarqueurs pertinents et de cibles thérapeutiques potentielles est en pleine effervescence depuis l’explosion de l’étude des microARNs. Les microARNs sont des petits ARNs non codants régulant négativement l’expression des gènes. On estime que 50% des gènes sont potentiellement régulés par les miARNs. Les miARNs semblent impliqués dans tous les processus biologiques majeurs tels que la différenciation cellulaire, l’apoptose ou encore la cancérisation. Ces petits ARN non codants sont donc des biomarqueurs potentiels très intéressants. Au cours de ces travaux de thèse l’implication des miARN dans la régulation du phénotype chondrocytaire a été étudiée. A partir d’un modèle de perte du phénotype chondrocytaire différencié, provoquée par des repiquages successifs ou une stimulation par l’IL-1β les variations du profil d’expression des miARNs ont été analysées par l’utilisation de puces dédiées. Ces données ont permis de mettre en évidence 43 miARNs candidats dont le cluster miR-23~27b~24-1 et miR-29b. L’étude de la régulation de la production différentielle des miARNs de ce cluster a été entreprise, sans que nous parvenions toutefois à apporter une réponse formelle sur les mécanismes impliqués. Néanmoins, nous avons identifié miR-29b comme un régulateur négatif de l’expression du gène codant Col-IIa1 au cours de la perte du phénotype différencié, ainsi que chez les chondrocytes « arthrosiques ». Enfin, comme il a été montré au laboratoire que l’équilibre entre les concentrations extracellulaires de pyrophosphate/phosphate inorganique (ePi/ePPi) était essentiel au maintien du phénotype chondrocytaire différencié, nous nous sommes intéressés à la régulation des gènes codant les acteurs protéiques impliqués dans cette balance (ANK, PC1, Pit-1 et TNAP). A partir de prédictions de cibles par analyse in silico, un panel de 4 miARNs candidats a été établi : let7e, miR-9, miR-188 et miR-219. Nos travaux avec des systèmes rapporteurs ont démontré l’implication de miR-9 en tant que régulateur négatif de l’expression des gènes PC-1, Pit-1 et TNAP, de façon cohérente ou non avec les prédictions bio-informatiques. / Osteoarthritis (OA) is the most frequent joint disease and its prevalence still grows with the increase in lifespan. OA is characterized by articular cartilage degeneration, together with synovitis and abnormal subchondral bone remodeling, leading to progressive loss of mobility and pain. Chondrocyte is the unique cell type in cartilage which accounts for the synthesis of extracellular matrix (ECM) components (collagens, proteoglycans). During OA, chondrocyte phenotype is altered and the balance between ECM synthesis and degradation is impaired towards cartilage degradation. To date no treatment can efficiently reduce OA progression so that the search for reliable biomarkers and potential therapeutic targets is very active, particularly since the discovery of microRNAs. miRNAs are estimated to regulate 50% of cellular genes. They contribute to major cellular processes such as cell differentiation, apoptosis or tumorigenesis. Therefore, miRNAs are interesting putative biomarkers. During this PhD thesis, we studied the contribution of miARNs to the control of chondrocyte phenotype. Using a model of chondrocyte differentiated phenotype loss induced by extensive subculturing or IL-1β challenge we studied changes in miRNAs profile with microarrays. We determined a panel of 43 varying miRNA including the miR-23~27b~24-1 cluster and miR-29b. The differential production of miRNAs from this cluster has been investigated, but we didn’t succeed in identifying the underlying mechanisms. However, we identified miR-29b as a negative post-transcriptional regulator of Col-IIa1 during differentiated phenotype loss and OA. Finally, as equilibrium between extracellular levels of inorganic phosphate and pyrophosphate (ePi/ePPi) was previously shown in the laboratory to be crucial for the maintenance of a differentiated chondrocyte phenotype, we studied the regulation of the genes encoding the 4 proteins regulating this balance (ANK, PC1, Pit-1 and TNAP). From in silico analysis, we selected a panel of 4 miRNAs: let7e, miR-9, miR-188 and miR-219. Using reporter assays, we showed that miR-9 was a negative regulator of PC-1, Pit-1 and TNAP, according or not to bioinformatics prediction

No description available.

In this dissertation, we introduce new families of valid inequalities for general linear mixed integer programs (MIPs) and second-order conic MIPs (SOCMIPs) and establish several theoretical properties and computational effectiveness of these inequalities. First we introduce the mixed n-step mixed integer rounding (MIR) inequalities for a generalization of the mixing set which we refer to as the n-mixing set. The n-mixing set is a multi-constraint mixed integer set in which each constraint has n integer variables and a single continuous variable. We then show that mixed n-step MIR can generate multi-row valid inequalities for general MIPs and special structure MIPs, namely, multi- module capacitated lot-sizing and facility location problems. We also present the results of our computational experiments with the mixed n-step MIR inequalities on small MIPLIB instances and randomly generated multi-module lot-sizing instances which show that these inequalities are quite effective. Next, we introduce the n-step conic MIR inequalities for the so-called polyhedral second-order conic (PSOC) mixed integer sets. PSOC sets arise in the polyhedral reformulation of SOCMIPs. We first introduce the n-step conic MIR inequality for a PSOC set with n integer variables and prove that all the 1-step to n-step conic MIR inequalities are facet-defining for the convex hull of this set. We also provide necessary and sufficient conditions for the PSOC form of this inequality to be valid. Then, we use the aforementioned n-step conic MIR facet to derive the n-step conic MIR inequality for a general PSOC set and provide conditions for it to be facet-defining. We further show that the n-step conic MIR inequality for a general PSOC set strictly dominates the n-step MIR inequalities written for the two linear constraints that define the PSOC set. We also prove that the n-step MIR inequality for a linear mixed integer constraint is a special case of the n-step conic MIR inequality. Finally, we conduct a polyhedral study of the triplet formulation for the single row facility layout problem (SRFLP). For any number of departments n, we prove that the dimension of the triplet polytope (convex hull of solutions to the triplet formulation) is n(n - 1)(n - 2)/3. We then prove that several valid inequalities presented in Amaral (2009) for this polytope are facet-defining. These results provide theoretical support for the fact that the linear program solved over these valid inequalities gives the optimal solution for all instances studied by Amaral (2009).

<p>Lung cancer is the third most prevalent cancer in the world; however it is the leading cause of cancer related deaths worldwide. Non-small cell lung cancer (NSCLC) accounts for ~85% of the lung cancer cases. The current strategies to treat NSCLC patients with frequent causal genetic mutations is through targeted therapeutics. Approximately 10-35% of NSCLC patient tumors have activated mutations in the Epidermal Growth Factor Receptor (EGFR) resulting in uncontrolled cellular proliferation. The standard-of care for such patients is EGFR-Tyrosine Kinase Inhibitors (EGFR-TKIs), a class of targeted therapeutics that specifically inhibit EGFR activity. One such EGFR-TKI used in this study is erlotinib. Following erlotinib treatment, tumors rapidly regress at first; however, over 50% of patients develop erlotinib resistance within a year post treatment. Development of resistance remains to be the major challenge in treatment of NSCLC using EGFR-TKIs such as erlotinib. </p> <p>In approximately 60% of cases, acquired erlotinib resistance in patients is attributed to a secondary mutation in EGFR, whereas in about 20% of cases, activation of alternative signaling pathways is the reported mechanism. For the remaining 15-20% of <a>cases</a> the mechanism of resistance remains unknown. Therefore, it can be speculated that the common methods used to identify genetic mutations in tumors post erlotinib treatment, such as histologic analysis and genetic screening may fail to identify alterations in epigenetic mediators of erlotinib resistance, also including microRNAs (miRNAs). MiRNAs are short non-coding RNAs that post-transcriptionally negatively regulate their target transcripts. Hence, in this study two comprehensive screens were simultaneously conducted in erlotinib sensitive cells: 1) a genome-wide knock-out screen, conducted with the hypothesis that loss of function of certain genes drive erlotinib resistance, 2) a miRNA overexpression screen, conducted with the hypothesis that certain miRNAs drive the development of erlotinib resistance when overexpressed. The overreaching goal of the study was to identify novel drivers of erlotinib resistance such as microRNAs or other epigenetic factors in NSCLC.</p><p>The findings of this study led to the identification of a tumor suppressive protein and an epigenetic regulator, SUV420H2 (KMT5C) that has never been reported to be involved in erlotinib resistance. On the other hand, the miRNA overexpression screen identified five miRNAs that contribute to erlotinib resistance that were extensively analyzed using multiple bioinformatic tools. It was predicted that the miRNAs mediate erlotinib resistance via multiple pathways, owing to the ability of each miRNA to target multiple transcripts via partial complementarity. Importantly, a correlation between the two screens was identified clearly supporting the use of two simultaneous screens as a reliable technique to determine highly significant miRNA-target interactions. Overall, the findings from this study suggest that epigenetic factors, such as histone modifiers and miRNAs function as critical mediators of erlotinib resistance, possibly belonging to the 15-20% of NSCLC cases with unidentified mechanisms involved in erlotinib resistance.</p><p></p>

No description available.

Les microARN (miARN) sont de petits ARN non-codants qui répriment la traduction de leurs gènes cibles par hybridation à leur ARN messager (ARNm). L'identification de cibles biologiquement actives de miARN est cruciale afin de mieux comprendre leurs rôles. Ce problème est cependant difficile parce que leurs sites ne sont définis que par sept nucléotides. Dans cette thèse je montre qu'il est possible de modéliser certains aspects des miARN afin d'identifier leurs cibles biologiquement actives à travers deux modélisations d'un aspect des miARN. La première modélisation s'intéresse aux aspects de la régulation des miARN par l'identification de boucles de régulation entre des miARN et des facteurs de transcription (FT). Cette modélisation a permis, notamment, d'identifier plus de 700 boucles de régulation miARN/FT, conservées entre l'humain et la souris. Les résultats de cette modélisation ont permis, en particulier, d'identifier deux boucles d'auto-régulation entre LMO2 et les miARN miR-223 et miR-363. Des expériences de transplantation de cellules souches hématopoïétiques et de progéniteurs hématopoïétiques ont ensuite permis d'assigner à ces deux miARN un rôle dans la détermination du destin cellulaire hématopoïétique. La deuxième modélisation s'intéresse directement aux interactions des miARN avec les ARNm afin de déterminer les cibles des miARN. Ces travaux ont permis la mise au point d'une méthode simple de prédiction de cibles de miARN dont les performances sont meilleures que les outils courant. Cette modélisation a aussi permis de mettre en lumière certaines conséquences insoupçonnées de l'effet des miARN, telle que la spécificité des cibles de miARN au contexte cellulaire et l'effet de saturation de certains ARNm par les miARN. Cette méthode peut également être utilisée pour identifier des ARNm dont la surexpression fait augmenter un autre ARNm par l'entremise de miARN partagés et dont les effets sur les ARNm non ciblés seraient minimaux. / microRNAs (miRNAs) are small non coding RNAs that repress the translation of their target genes by pairing to their messenger RNA (mRNA). The identification of miRNAs' biologically active targets is a difficult problem because their binding sites are defined by only seven nucleotides. In this thesis, I show that it is possible to model specific aspects of miRNAs to identify their biologically active targets through two modeling of each one aspect of miRNAs. The first modeling considers the miRNAs regulations through the identification of regulatory loops between miRNAs and transcription factors (TFs). Through this modeling, we identified over 700 miRNA/TF regulatory loops conserved between human and mouse. With the results of this modeling, we were able to identify, in particular, two regulatory loops between LMO2 and the miRNAs miR-223 and miR-363. Using hematopoietic stem cells and progenitor cells transplantation experiment we showed that miR-223 and miR-363 are involved in hematopoietic cell fate determination. The second modeling focuses directly on the interaction between miARN and messenger RNA (mRNA) to determine the miRNA targets. With this work, we developed a simple method for predicting miRNA targets that outperforms the current state of the art tool. This modeling also highlighted some unsuspected consequences of miRNA effects such as the cell context specificity and the saturation of mRNA targets by miRNA. This method can also be used to identify mRNAs whose overexpression increases the expression level of another mRNA through their shared miRNA and whose global effects on other genes are minimal.

La voie de signalisation des androgènes, à travers le récepteur aux androgènes (AR), joue un rôle important dans le développement et la fonction de la prostate, ainsi que dans l’initiation et la progression du cancer de la prostate. La découverte de nouveaux effecteurs de la signalisation androgènes-AR permettra une meilleure compréhension de ces mécanismes. MiR-135a a été identifié comme un gène cible de la voie de signalisation androgènes-AR. Après stimulation androgénique, AR active directement la transcription du gène miR-135a2, en se fixant sur un élément de réponse aux androgènes dans la région promotrice.Une surexpression de miR-135a inhibe la migration et l’invasion de cellules prostatiques cancéreuses, en régulant négativement l’expression des protéines ROCK1 et ROCK2, deux gènes cibles de miR-135a nouvellement identifiés.De plus, miR-135a cible et régule négativement l’expression du facteur de transcription FOXN3, capable de moduler l’activité transcriptionnelle de AR et la prolifération cellulaire dépendante des androgènes.L’étude fonctionnelle de miR-135a suggère donc qu’il puisse être impliqué dans la progression du cancer de la prostate, en régulant la formation des métastases et la signalisation androgénique. L’expression de miR-135a, dans le tissu tumoral par rapport au tissu sain adjacent, de prostatectomies de patients, est inversement corrélée aux paramètres d’agressivité de la maladie, suggérant qu’il puisse être utilisé comme marqueur de pronostic du cancer de la prostate.Ces résultats font de miR-135a un nouvel effecteur de la voie de signalisation de AR, pouvant contribuer à la progression du cancer de la prostate. / Androgens signaling through the androgen receptor (AR) is critical for normal prostate development and function, as well as prostate cancer initiation and progression. The discovery of new effectors of androgens-AR pathway will allow a better understanding of these mechanisms.MiR-135a has been identified as a target gene in androgen-AR signaling pathway. After androgen stimulation, AR directly activates the transcription of miR-135a2 gene by binding to an androgen response element in the promoter region.Ectopic expression of miR-135a was found to induce morphological modification leading to an inhibition of migration and invasion in prostate cancer cells, by down-regulating ROCK1 and ROCK 2 expression, two newly identified miR-135a target genes.Moreover, miR-135a targets and downregulates the expression of the transcription factor FOXN3, able to modulate AR transcriptional activity and androgen-mediated cell proliferation.Thus, functional study of miR-135a suggests that it could be implicated in prostate cancer progression, by regulating metastases formation and androgen signaling.MiR-135a expression level in surgical cancerous speciments normalized to pair-matched normal counterpart tissues was inversely correlated with aggressivity parameters of the disease, suggesting that it could be used as a candidate prognostic marker in human prostate cancer.These results define miR-135a as a novel effector in androgens-AR signaling, which may contribute to prostate cancer progression.