L'identification des interactions survenant au niveau moléculaire joue un rôle crucial pour la compréhension du vivant. L'objectif de ce travail a consisté à développer des méthodes permettant de modéliser et de prédire ces interactions pour le métabolisme et la régulation de la transcription. Nous nous sommes basés pour cela sur la modélisation de ces systèmes sous la forme de graphes et d'automates. Nous avons dans un premier temps développé une méthode permettant de tester et de prédire la distribution du flux au sein d'un réseau métabolique en permettant la formulation d'une à plusieurs contraintes. Nous montrons que la prise en compte des données biologiques par cette méthode permet de mieux reproduire certains phénotypes observés in vivo pour notre modèle d'étude du métabolisme énergétique du parasite Trypanosoma brucei. Les résultats obtenus ont ainsi permis de fournir des éléments d'explication pour comprendre la flexibilité du flux de ce métabolisme, qui étaient cohérentes avec les données expérimentales. Dans un second temps, nous nous sommes intéressés à une catégorie particulière d'ARN non codants appelés sRNAs, qui sont impliqués dans la régulation de la réponse cellulaire aux variations environnementales. Nous avons développé une approche permettant de mieux prédire les interactions qu'ils effectuent avec d'autres ARN en nous basant sur une prédiction des interactions, une analyse par enrichissement du contexte biologique de ces cibles, et en développant un système de visualisation spécialement adapté à la manipulation de ces données. Nous avons appliqué notre méthode pour l'étude des sRNAs de la bactérie Escherichia coli. Les prédictions réalisées sont apparues être en accord avec les données expérimentales disponibles, et ont permis de proposer plusieurs nouvelles cibles candidates. / The identification of the interactions occurring at the molecular level is crucial to understand the life process. The aim of this work was to develop methods to model and to predict these interactions for the metabolism and the regulation of transcription. We modeled these systems by graphs and automata.Firstly, we developed a method to test and to predict the flux distribution in a metabolic network, which consider the formulation of several constraints. We showed that this method can better mimic the in vivo phenotype of the energy metabolism of the parasite Trypanosoma brucei. The results enabled to provide a good explanation of the metabolic flux flexibility, which were consistent with the experimental data. Secondly, we have considered a particular class of non-coding RNAs called sRNAs, which are involved in the regulation of the cellular response to environmental changes. We developed an approach to better predict their interactions with other RNAs based on the interaction prediction, an enrichment analysis, and by developing a visualization system adapted to the manipulation of these data. We applied our method to the study of the sRNAs interactions within the bacteria Escherichia coli. The predictions were in agreement with the available experimental data, and helped to propose several new target candidates.

Un défi de la transcriptomique est d'explorer l'intégralité du répertoire des transcrits normaux et anormaux. Les analyses de GEP (Gene Expression Profiling) basées sur la technologie des puces à ADN sont largement exploitées en cancérologie depuis plusieurs années. Parallèlement, les nouvelles méthodes basées sur le séquençage à haut débit offrent désormais la possibilité de réaliser des analyses précises et sensibles nécessaires à l'étude des cellules normales et cancéreuses. Quelle que soit la méthode, la caractérisation de l'ensemble des transcrits codants et non-codants représente un réel défi biologique pour la recherche de nouveaux marqueurs de diagnostic et de pronostic, et pour la bonne prise en charge des patients. Dans ce travail, j'ai eu l'occasion de traiter deux aspects différents de la biologie qui convergent vers l'identification de transcrits exprimés de manière aberrante dans les leucémies myéloïdes. Le premier aspect a consisté à proposer une sélection de biomarqueurs moléculaires pour la caractérisation de la leucémie myélomonocytaire chronique (LMMC). A partir de l'expression de ces gènes, nous avons développé un score de pronostic qui a permis de définir deux groupes de patients cliniquement distincts. Nous avons ensuite complété notre étude par une caractérisation phénotypique par cytométrie en flux des sous-populations cellulaires aberrantes constituant les lignages mono- et granulocytaires. Une partie de ce travail a été étendue aux leucémies aiguës myéloïdes (LAM) à caryotype normal (CN). L'autre aspect a consisté à participer à la mise en place d'une approche computationnelle intégrée pour caractériser de nouveaux ARNs non annotés et fort probablement non-codants. En explorant des données de Digital Gene Expression (DGE), nous avons quantifié et caractérisé la fraction de ces transcrits dans les régions intergéniques. Nous avons vérifié l'expression de ces nouveaux transcrits dans les tissus normaux et cancéreux en croisant avec d'autres données d'expression, telles que le RNA-Sequencing, et regarder leur conservation et leur expression dans d'autres espèces. / A challenge of transcriptomics is to explore the full repertoire of normal and abnormal transcripts. Gene expression profiling analyses based on microarray technology are widely used in cancer research since many years. Meanwhile, new methods based on high-throughput sequencing methods offers henceforth the possibility to undergo accurate and sensitive analyses necessary for studying normal and cancer cells. Despite the method, the characterization of all coding and non-coding transcripts is a real biological challenge in identifying novel diagnostic and prognostic markers, and for the proper care of patients. In the present work, I had the opportunity to address two different aspects of biology, both convergent toward the identification of aberrantly expressed transcripts in myeloid leukemia. The first aspect was to provide a selection of molecular biomarkers for the characterization of chronic myelomonocytic leukemia (CMML). We developed a gene expression-based prognostic score which identified two clinically distinct groups of patients. We then completed our study with a phenotypic characterization by flow cytometry of aberrant subpopulations constituting the myeloid and granulocytic lineages. A part of this work has been extended to acute myeloid leukemia (AML) patients with normal karyotype. The other aspect was to participate in the implementation of an integrated computational approach in order to characterize novel non annotated RNAs, more likely non-coding. We quantified and characterized the proportion of these transcripts in intergenic regions by exploring Digital Gene Expression (DGE) data. We checked their expression in normal and cancer tissues by crossing with RNA-Seq data, and their conservation and expression in other species.

A dengue é uma infecção viral sistêmica que pode se manifestar clinicamente de diversas formas, desde febres leves a hemorragia e síndrome do choque, condições potencialmente fatais. Diversos estudos já foram publicados investigando as mudanças globais de expressão que ocorrem durante a evolução da doença nesses diferentes quadros clínicos. Porém, nenhum desses estudos analisou o papel dos RNAs não codificadores longos (lncRNAs) na progressão da doença. Neste projeto, foi realizada uma metanálise dos dados de expressão provenientes desses estudos de dengue focando na expressão de lncRNAs e seus possíveis mecanismos de regulação gênica. Foram identificados dezenas de lncRNAs cuja expressão aumenta ou diminui em pacientes infectados com dengue comparado com pessoas saudáveis. Através de análise de \"guilty-by-association\", procurou-se identificar genes codificadores de proteína possivelmente regulados por esses lncRNAs ou genes que os regulem. Nossos resultados fornecem evidência de novos mecanismos de regulação entre lncRNAs e mRNAs. / Dengue fever is a systemic viral infection that can manifest clinically in a variety of ways, from mild fever to potentially fatal conditions such as hemorrhage and shock syndrome. Several studies have already been published investigating the global changes in expression that occur during the evolution of the disease in these different clinical settings. However, none of these studies analyzed the role of long non-coding RNAs (lncRNAs) in disease progression. In this project, we performed a meta-analysis of transcriptome data obtained from these dengue studies and focused on the expression of lncRNAs and their possible mechanisms of gene regulation. Dozens of lncRNAs have been identified whose expression increases or decreases in patients infected with dengue compared to healthy individuals. Through guilty-by-association analysis, we identified several lncRNAs that possibly regulate protein coding genes. Our results provide evidence of novel regulatory mechanisms between lncRNAs and mRNAs.

No final do século passado, avanços ocorridos no campo da Biologia Molecular levantaram questionamentos sobre como organismos complexos, com poucos genes a mais que organismos relativamente mais simples, regulariam seu desenvolvimento e funções celulares tão mais intrincadas. A descoberta dos RNAs não codificadores de proteínas e suas funções lançou nova luz ao entendimento da regulação da expressão gênica em organismos superiores. Apesar do conhecimento adquirido nos últimos anos, pouco ainda é sabido sobre a regulação destes RNAs. MicroRNAs, por outro lado, são uma espécie bem estudada de pequenos RNAs preditos como possíveis reguladores de mais de 60 % dos genes codificadores de proteínas no genoma humano, considerados importantes reguladores da expressão gênica em nível pós-transcricional. O presente projeto estudou a possível regulação do gene não codificador de proteínas TUG1, envolvido em proliferação celular e apoptose, por miRNAs e o papel desta regulação em processos tumorigênicos. Para isto foram utilizadas técnicas que superexpressaram e silenciaram miRNAs e técnicas de PCR quantitativo em tempo real para medir o nível de TUG1 nas amostras tratadas. Verificou-se a possibilidade de regulação do TUG1 por microRNAs em diferentes linhagens celulares sendo que, no entanto, esta regulação não parece ser importante em nível fisiológico / At the end of the last century, advances occurred in the Molecular Biology field raised questions about how complexes organisms, with few more genes than relatively simpler organisms, regulate it so intricate development and cellular functions. The discovery of long non-protein coding RNAs and it functions gave light to the understanding of gene expression regulation in superior organisms. Despite the knowledge acquired in the last years, few is yet known about the regulation of these RNAs. MicroRNAs, other way, are a well-studied tiny RNAs specie. They are predicted as possible regulators of more than 60 % of protein-coding genes in the human genome and considered important regulators of gene expression regulation at post-transcriptional level. This project studied the possible regulation of the non protein-coding gene TUG1, involved in cell proliferation and apoptosis, by microRNAs and the role of this regulation in tumorigenic processes. In order to do this we used techniques that superexpressed and silenced miRNAs and techniques of real time quantitative PCR to measure the TUG1 levels in the treated samples. We find the possibility of regulation of TUG1 by microRNAs in different cell lineages but this regulation does not seems to be important in a physiologic context.

La mucoviscidose (CF, Cystic Fibrosis), maladie autosomique récessive la plus fréquente dans la population caucasienne, se manifeste par l’atteinte de plusieurs organes due à l’absence ou au dysfonctionnement du canal CFTR. Au niveau des poumons, la perte de l’activité du canal se traduit par une déshydration du mucus, des cycles d’infections et d’inflammation aboutissant à terme à la destruction du parenchyme pulmonaire. Les thérapeutiques proposées à l’heure actuelle, sont principalement symptomatiques et l’exploration de nouvelles pistes reste nécessaire. De récents travaux émanant de notre équipe ont révélé qu’une intervention au niveau de la stabilisation des transcrits pourrait être bénéfique pour améliorer la quantité de protéines nécessaires pour restaurer une activité suffisante du canal CFTR. Une autre piste qui pourrait être explorée serait de cibler, en plus de l’expression du gène CFTR, des régulateurs clés qui participent aux processus de réparation cellulaire ou à la réponse inflammatoire. Dans cet objectif, nous nous sommes focalisés sur des régulateurs clés comme les miARN et les ARE-BP (protéines de liaison à l’ARN) qui sont dérégulés dans les tissus CF et qui peuvent agir ensemble dans le contrôle de l’expression de nombreux gènes.Les travaux que nous avons réalisés nous ont permis d’une part, de montrer la dérégulation de miARN dans des échantillons CF ainsi que des isoformes de certains miARN. Deux miARN ont retenu notre attention, le miR-101 dont la distribution de ses séquences isomiR varient dans des cultures CF et le miR-181a-5p qui présente une dérégulation de son expression dans trois modèles ex-vivo CF que nous avons utilisés. Ces miARN ont la particularité de moduler l’expression de gènes clés dans les voies de signalisation PI3K-Akt/MAPK-Erk et Wnt. D’autre part, nos travaux ont révélé la dérégulation de la protéine ARE-BP TTP (Tristétraproline ou ZFP36) en contexte CF. Cette protéine est d’autant plus intéressante qu’elle est connue pour être un régulateur clé de l’inflammation. La suite de ce travail a donc été d’étudier sa régulation et son impact sur ses ARNm cibles. L’activité de cette ARE-BP a été principalement décrite pour être contrôlée par la voie p38-MAPK. Nous montrons l’implication de la voie p42/p44-MAPK (Erk1/2) dans la régulation de la phosphorylation de TTP dans des cultures bronchiques. La recherche des interactions entre TTP et ses cibles a également révélé que cette protéine agissait sur ses propres régulateurs ainsi que sur l’ARNm CFTR. Nous montrons ainsi pour la première fois que TTP se fixe au niveau de la région 3’UTR du transcrit CFTR et joue un rôle de stabilisateur sur ce transcrit.Identifier de nouveaux acteurs de la régulation du gène CFTR mais également des régulateurs centraux des processus altérés en contexte CF offre de nouvelles opportunités pour concevoir des outils ciblés pour combattre cette maladie. / Cystic fibrosis (CF), the most common life-shortening genetic disorder in Caucasians, affects many organs but chronic lung disease is the main cause of morbidity and mortality. This disease, characterized by CFTR gene alterations, results in ions transport dysfunctions that contribute to impair mucociliary clearance, favoring bacterial colonization and inflammation, and ultimately leading to lung destruction. Nowadays, therapeutic drugs have limited benefit, so development of new alternatives or complementary molecules remains essential. Recently, our team demonstrated that the intervention on CFTR mRNA stability leads to an increase in CFTR protein level and an improvement of the CFTR channel activity. An alternative way would be to target key actors such as miRNA and ARE-BP (RNA binding protein), deregulated in CF tissues, that display a pleiotropic activity and act together to control expression of several genes.Our findings led to the identification of dysregulated miRNA in CF samples and revealed multiple isoforms relative to miRNA of reference (i.e. isomiRs). We focused on two miRNA, miR-101, that displays a modification in isomiR distribution and miR-181a-5p that is highly deregulated, in three CF airways models. These miRNA modulate expression of key genes or related genes in PI3K-Akt/MAPK-Erk and Wnt signaling pathways.Our work also revealed the deregulation of an ARE-BP protein, TTP (Tristetraprolin, ZFP36), in CF context. This protein is a master regulator in inflammatory resolution. We next investigated the mechanism whereby this ARE-BP is regulated in bronchial cells and showed that TTP phosphorylation is regulated by MK2 through ERK activation. We also determined for the first time that TTP binds to the 3’UTR of CFTR mRNA where TTP binding stabilizes CFTR mRNA level.These data bring new insights into CF physiopathology and open new research opportunities in CF.

Cheung Hoi Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 151-166). / Abstracts in English and Chinese. / ACKNOWLEDGEMENT --- p.I / ABSTRACT --- p.II / ABBREVIATIONS --- p.IV / LIST OF FIGURES --- p.VII / LIST OF TABLES --- p.IX / CONTENTS --- p.X / Chapter CHAPTER ONE: --- GENERAL INTRODUCTION / Chapter 1.1 --- Non-coding RNAs in transcriptional output --- p.2 / Chapter 1.2 --- Diverse functions of non-coding RNAs --- p.5 / Chapter 1.3 --- HI9: imprinted non-coding RNA --- p.6 / Chapter 1.4 --- Objective --- p.7 / Chapter CHAPTER TWO: --- The ROLE OF H19 RNA IN MDR1 EXPRESSION OF HUMAN HEPATOCELLULAR CARCINOMA HepG2 CELLS / Chapter 2.1 --- Introduction / Chapter 2.1.1 --- H19-Igf2 locus as a model for genomic imprinting --- p.10 / Chapter 2.1.2 --- HI9 as a non-protein coding regulatory RNA --- p.12 / Chapter 2.1.3 --- Controversial roles of H19 RNA --- p.13 / Chapter 2.1.4 --- Novel role of H19 RNA in drug resistance --- p.15 / Chapter 2.2 --- Materials and methods / Chapter 2.2.1 --- Materials --- p.17 / Chapter 2.2.2 --- Methods / Chapter 2.2.2.1 --- Cell culture --- p.19 / Chapter 2.2.2.2 --- Plasmid construction and stable cell transfection --- p.19 / Chapter 2.2.2.3 --- Transient gene transfection --- p.20 / Chapter 2.2.2.4 --- RNA isolation and RT-PCR --- p.21 / Chapter 2.2.2.5 --- MTT drug sensitivity assay --- p.22 / Chapter 2.2.2.6 --- Western blot analysis --- p.22 / Chapter 2.3 --- Results / Chapter 2.3.1 --- Differential expression of H19 RNA in different human cancer cell lines --- p.24 / Chapter 2.3.2 --- R-HepG2 cells over-expressed P-glycoprotein and H19 RNA --- p.24 / Chapter 2.3.3 --- Development of H19-silenced cell lines in HepG2 cells by RNA interference --- p.26 / Chapter 2.3.4 --- Altered drug sensitivity in H19-silenced cells --- p.28 / Chapter 2.3.5 --- Expression of P-glycoprotein in H19-silenced cells --- p.31 / Chapter 2.3.6 --- Overexpression of H19 RNA in HepG2 cells --- p.34 / Chapter 2.3.7 --- Induction of H19 RNA and MDR1 in HepG2 cells --- p.34 / Chapter 2.4 --- Discussion / Chapter 2.4.1 --- H19 regulation of MDR1 associated drug resistance --- p.38 / Chapter 2.4.2 --- The puzzle of riboregulation in drug resistance --- p.40 / Chapter CHAPTER THREE: --- The ROLES OF PTB AND IMP1 IN H19-RELATED MDR1 EXPRESSION OF HUMAN HEPATOCELLULAR CARCINOMA HepG2 CELLS / Chapter 3.1 --- Introduction / Chapter 3.1.1 --- H19 RNA binding proteins --- p.43 / Chapter 3.2 --- Materials and methods / Chapter 3.2.1 --- Materials --- p.46 / Chapter 3.2.2 --- Methods / Chapter 3.2.2.1 --- Cell culture --- p.48 / Chapter 3.2.2.2 --- Plasmid construction and stable cell transfection --- p.48 / Chapter 3.2.2.3 --- RNA extraction and RT-PCR --- p.48 / Chapter 3.2.2.4 --- MTT drug sensitivity assay --- p.48 / Chapter 3.2.2.5 --- Western blot analysis --- p.48 / Chapter 3.2.2.6 --- Real-time PCR analysis of gene expression --- p.49 / Chapter 3.2.2.7 --- DOX efflux assay --- p.49 / Chapter 3.3 --- Results / Chapter 3.3.1 --- PTB knockdown increased P-glycoprotein expression --- p.51 / Chapter 3.3.2 --- IMP1 knockdown decreased MDR1 /P-glycoprotein expression --- p.54 / Chapter 3.3.3 --- Altered drug sensitivity in IMP 1 -knockdown cells --- p.60 / Chapter 3.4 --- Discussion / Chapter 3.4.1 --- Antagonistic effect of PTB and IMP1 on H19/MDR1 expressions --- p.64 / Chapter 3.4.2 --- Complexity of riboregulation --- p.65 / Chapter CHAPTER FOUR: --- IDENTIFICATION OF H19 RNA BINDING PROTEINS FROM HUMAN HEPATOCELLULAR CARCINOMA HepG2 CELLS / Chapter 4.1 --- Introduction / Chapter 4.1.1 --- Overview of RNA-protein interactions --- p.69 / Chapter 4.1.2 --- Methodology in the study of RNA-protein interactions --- p.71 / Chapter 4.1.3 --- Identification of RNA-binding proteins --- p.72 / Chapter 4.2 --- Materials and methods / Chapter 4.2.1 --- Materials --- p.75 / Chapter 4.2.2 --- Methods / Chapter 4.2.2.1 --- Screening of H19 cDNA from human placenta cDNA library --- p.78 / Chapter 4.2.2.2 --- Preparation of nuclear and cytoplasmic extracts from HepG2 cells / Chapter 4.2.2.3 --- In vitro RNA transcription and RNA labeling --- p.80 / Chapter 4.2.2.4 --- RNA electrophoretic mobility shift assay --- p.81 / Chapter 4.2.2.5 --- In vitro UV-crosslinking assay --- p.82 / Chapter 4.2.2.6 --- Preparation of RNA-affinity column and isolation of RNA binding proteins --- p.83 / Chapter 4.2.2.7 --- In-gel digestion and MALDI-TOF mass spectrometry --- p.84 / Chapter 4.3 --- Results / Chapter 4.3.1 --- Screening of H19 cDNA and preparation ofH19 RNA --- p.86 / Chapter 4.3.2 --- Electrophoretic mobility shift analysis of H19 RNA with HepG2 cytoplasmic extract --- p.87 / Chapter 4.3.3 --- UV-crosslinking of H19 RNA with HepG2 nuclear and cytoplasmic extract --- p.90 / Chapter 4.3.4 --- Isolation of H19 RNA binding proteins by RNA-affmity chromatography --- p.94 / Chapter 4.3.5 --- Confirmation of PTB and IMP1 as H19 RNA binding protein --- p.96 / Chapter 4.3.6 --- MALDI-TOF mass spectrometric analysis of isolated H19 RNA binding proteins --- p.96 / Chapter 4.4 --- Discussion / Chapter 4.4.1 --- RNA-protein interactions: an initial step for mechanistic study --- p.99 / Chapter 4.4.2 --- In vitro and in vivo methods for isolation of RNA binding proteins --- p.101 / Chapter 4.4.3 --- Novel role of hnRNP M protein in H19 RNA binding --- p.103 / Chapter CHAPTER FIVE: --- THE ROLE OF PTB IN APOPTOSIS / Chapter 5.1 --- Introduction / Chapter 5.1.1 --- Overview of polypyrimidine tract-binding protein in RNA processing and post-transcriptional gene regulation --- p.106 / Chapter 5.1.2 --- Evidences of polyrimidine-tract binding protein in the regulation of apoptosis --- p.108 / Chapter 5.2 --- Materials and methods / Chapter 5.2.1 --- Materials --- p.111 / Chapter 5.2.2 --- Methods / Chapter 5.2.2.1 --- Cell culture --- p.114 / Chapter 5.2.2.2 --- Stable cell transfection in A431 cells --- p.114 / Chapter 5.2.2.3 --- Western Blot analysis --- p.114 / Chapter 5.2.2.4 --- MTT drug sensitivity assay --- p.114 / Chapter 5.2.2.5 --- DNA fragmentation assay --- p.115 / Chapter 5.2.2.6 --- Flow cytometry analysis of apoptosis --- p.115 / Chapter 5.2.2.7 --- Caspase activity assay --- p.116 / Chapter 5.3 --- Results / Chapter 5.3.1 --- Taxol as an apoptosis inducer in HepG2 cells --- p.117 / Chapter 5.3.2 --- PTB was cleaved during Taxol-induced apoptosis --- p.118 / Chapter 5.3.3 --- PTB knockdown increased Taxol cytotoxicity and apoptosis --- p.118 / Chapter 5.3.4 --- Effect of PTB knockdown on drug sensitivity of cells --- p.121 / Chapter 5.3.5 --- Effect of PTB knockdown on other drug-induced apoptosis --- p.121 / Chapter 5.3.6 --- Effect of PTB knockdown on the basal expressions of genes in apoptosis pathway --- p.126 / Chapter 5.3.7 --- The role of caspase-9 activation in PTB-regulated apoptosis --- p.129 / Chapter 5.3.8 --- The effect of PTB knockdown on pro-caspase-9 expression and Taxol-induced apoptosis in A431 cells --- p.133 / Chapter 5.3.9 --- The role of PTB in the regulation of intrinsic apoptosis pathway --- p.136 / Chapter 5.4 --- Discussion / Chapter 5.4.1 --- The role of PTB in intrinsic apoptosis pathway --- p.138 / Chapter 5.4.2 --- PTB in regulation of pro-caspase-9 expression --- p.139 / Chapter CHAPTER SIX: --- GENERAL DISCUSSION AND CONCLUSION / Chapter 6.1 --- H19 as a potential target in anti-cancer gene therapy --- p.143 / Chapter 6.2 --- Conclusion --- p.144 / Chapter 6.3 --- Unanswered questions and future work --- p.145 / Chapter 6.4 --- A proposed model for H19 pathway --- p.148 / REFERENCES --- p.151

A dengue é uma infecção viral sistêmica que pode se manifestar clinicamente de diversas formas, desde febres leves a hemorragia e síndrome do choque, condições potencialmente fatais. Diversos estudos já foram publicados investigando as mudanças globais de expressão que ocorrem durante a evolução da doença nesses diferentes quadros clínicos. Porém, nenhum desses estudos analisou o papel dos RNAs não codificadores longos (lncRNAs) na progressão da doença. Neste projeto, foi realizada uma metanálise dos dados de expressão provenientes desses estudos de dengue focando na expressão de lncRNAs e seus possíveis mecanismos de regulação gênica. Foram identificados dezenas de lncRNAs cuja expressão aumenta ou diminui em pacientes infectados com dengue comparado com pessoas saudáveis. Através de análise de \"guilty-by-association\", procurou-se identificar genes codificadores de proteína possivelmente regulados por esses lncRNAs ou genes que os regulem. Nossos resultados fornecem evidência de novos mecanismos de regulação entre lncRNAs e mRNAs. / Dengue fever is a systemic viral infection that can manifest clinically in a variety of ways, from mild fever to potentially fatal conditions such as hemorrhage and shock syndrome. Several studies have already been published investigating the global changes in expression that occur during the evolution of the disease in these different clinical settings. However, none of these studies analyzed the role of long non-coding RNAs (lncRNAs) in disease progression. In this project, we performed a meta-analysis of transcriptome data obtained from these dengue studies and focused on the expression of lncRNAs and their possible mechanisms of gene regulation. Dozens of lncRNAs have been identified whose expression increases or decreases in patients infected with dengue compared to healthy individuals. Through guilty-by-association analysis, we identified several lncRNAs that possibly regulate protein coding genes. Our results provide evidence of novel regulatory mechanisms between lncRNAs and mRNAs.

Les dystrophies musculaires de Duchenne (DMD) et de Becker (BMD) sont dues à des mutations dans le gène DMD codant la Dystrophine. De nombreux aspects des mécanismes pathophysiologiques de ces maladies ne sont pas encore expliqués. Nous nous sommes intéressés à l'étude d'ARN non-codants pouvant participer à ces processus. Une première étude a été centrée sur l’identification de micro-ARNs (miARNs) impliqués dans la régulation de l’oxyde nitrique synthase neuronale (nNOS) une protéine partenaire de la Dystrophine et associée à des caractéristiques de ces pathologies telles que la fatigabilité musculaire. 617 miARNs ont été criblés par Taqman Low Density Array dans des muscles de sujets sains et de patients BMDdel45-55. 4 miARNs candidats ont été sélectionnés de cette étude pour leur surexpression chez les patients BMDdel45-55 et leur capacité théorique à cibler nNOS. Des expériences de modulation de l’expression de ces miARNs dans des myoblastes humains sains ou dystrophiques nous ont permis d’identifier que le miR-708-5p et le miR-34-5p pouvaient cibler nNOS et moduler son expression.Un deuxième axe a été mené sur l’étude des longs ARNs non-codants (lncARNs). Les introns 44 et 55, qui bornent les exons 45 à 55 délétés chez les patients BMDdel45-55, sont de grandes régions contenant des lncARNs décrits comme régulant la Dystrophine. Les points de cassure introniques des mutations de ces patients n’étant pas décrites, nous avons supposé l’existence de profils de lncARNs différents. L’analyse de l’ADN de ces patients montre en effet des profils de lncARNs différents, révélant ainsi l’importance d’une étude plus précise des zones de délétion des patients BMDdel45-55. / Duchenne (DMD) and Becker (BMD) muscular dystrophies are due to mutations in DMD gene, encoding Dystrophin. Many aspects of pathophysiological mechanisms of these diseases are not yet well understood. We were interested in the study of non-coding RNAs that could be involved in these pathological processes. A first study focused on micro-RNAs (miRNAs) that could modulate expression of the neuronal nitric oxide synthase (nNOS), a partner of Dystrophin which is linked to pathological features as muscular fatigability. 617 miRNAs were screened by Taqman Low Density Array in muscle biopsies of healthy subjects or BMDdel45-55 patients. 4 candidate miRNAs were selected from this study since they were overexpressed in BMDdel45-55 patients and for their theoretical ability to target nNOS. Experiments modulating the expression of these miRNAs in healthy or dystrophic human myoblasts enabled us to identify that miR-708-5p and miR-34-5p could target nNOS and modulate its expression.A second axis was conducted on long non-coding RNA (lncRNA). Introns 44 and 55, which bound exons 45-55 deleted in BMDdel45-55 patients, are large regions containing lncRNAs described as regulating Dystrophin. Since intronic breakpoints of DMD mutations of these pateints were not described, we have assumed the existence of different profiles of lncRNAs. DNA analysis of these patients actually showed different lncRNAs profiles, thus revealing the significance of a more precise analysis of deletion areas in DMD gene of BMDdel45-55 patients.

Cells sense the properties of the surrounding environment and convert this information into changes in gene expression. Bacteria are, in contrast to many multi-cellular eukaryotes, remarkable in their ability to cope with rapid environmental changes and to endure harsh and extreme milieus. Previously, control of gene expression was thought to be carried out exclusively by proteins. However, it is now clear that small regulatory RNAs (sRNA) also carry out gene regulatory functions. Bacteria such as E. coli harbor a large class of sRNAs that bind to mRNAs to alter translation and/or mRNA stability. By identifying mRNAs that are targeted by sRNAs, my studies have broadened the understanding of the mechanisms that underlie sRNA-dependent gene regulation, and have shed light on the impact that this type of regulation has on bacterial physiology. Control of gene expression often relies on the interplay of many regulators. This interplay is exemplified by our discovery of mutual regulation between the sRNA MicF and the globally acting transcription factor Lrp. Through double negative feedback, these two regulators respond to nutrient availability in the environment which results in reprogramming of downstream gene expression. We have also shown that both the transcription factor CsgD, and the anti-sigma factor FlgM, are repressed by the two sRNAs OmrA and OmrB, suggesting that these sRNAs are important players in the complex regulation that allow bacteria to switch between motility and sessility. Bacterial populations of genetically identical individuals show phenotypic variations when switching to the sessile state due to bistability in gene expression. While bistability has previously been demonstrated to arise from stochastic fluctuations in transcription, our results suggest that bistability possibly may arise from sRNA-dependent regulatory events also on the post-transcriptional level.

Non-protein coding eukaryotic genome sequences often referred to as junk DNA are estimated to encode several non-coding RNAs (ncRNAs) which may account for nearly 98% of all genomic output in humans. The output of such a wide spread transcription in eukaryotes consists of intronic, antisense and small RNAs. In addition to the classical ncRNAs such as rRNA, tRNA and small nucleolar RNAs, the eukaryotic genome encodes two distinct categories of ncRNAs, referred to as small ncRNAs and long mRNA–like ncRNAs (mlncRNAs). The long ncRNAs, which are transcribed by RNA Polymerase II, spliced and polyadenylated, are implicated in a number of regulatory processes such as imprinting, X-chromosome inactivation, DNA demethylation, transcription, RNA interference, chromatin structure dynamics and antisense mediated regulation. Expression of noncoding RNAs is altered during stress conditions and a large number of such transcripts have been identified of late. This study has identified a novel ncRNA whose expression is upregulated during viral infection of mouse brain. While we have named this RNA as VINC or virus inducible ncRNA, others have named it as NEAT1 (Hutchinson et al., 2007) and Men (Sunwoo et al., 2008). VINC/NEAT1/Men is associated with a distinct nuclear domain called paraspeckles Using a cell line as well as an animal model system we have investigated VINC in great detail and based on these studies we report that VINC is a nuclear ncRNA that localizes to paraspeckles and it interacts with the paraspeckle protein, P54nrb in both cell line model system as well as in animal tissues by a combination of in vitro and in vivo methods. We have also mapped the domains within VINC that are involved in P54nrb interactions. Till date, the only other RNA known to localise to paraspeckles is CTN-RNA. While CTN-RNA is a protein coding RNA, VINC does not code for a protein and thus VINC is the first ncRNA to be localized to paraspeckles. Further, the mechanism of nuclear retention of these two paraspeckle RNAs appears to be distinct. In case of CTN-RNA, it has been clearly shown that it is A-I edited and such hyperedited RNAs are retained by the p54/nrb mediated complex in nucleus (Zhang and Carmichael, 2001). However the mechanism by which VINC is retained in nucleus is not clear. There is apparently no A-I editing in VINC and hence VINC retention in the nucleus by binding to nuclear proteins such as p54/nrb might involve a different mechanism. It is well established of late that nuclear matrix retains RNAs and that there is a population of poly (A) RNA that is retained in nucleus (Huang et al.,1994 ; Carter et al.,1991). However the significance of such retention is not clear but it is believed that it might be important for some constitutive functions in nucleus (Nickerson et al., 1989). More investigations are needed to understand the exact functions of nuclear RNAs such as VINC in supporting the nuclear architecture. P54nrb is a multi functional nuclear protein that mediates most of its functions in association with PSF (Shav-Tal and Zipori, 2002). Phosphorylation status of P54nrb is a key determinant for its localisation to various nuclear regions. P54nrb is a multiphosphorylated protein during mitosis and its phosphorylation is mediated by PIN-1 at its C-terminus (Proteau et al., 2005). Tyrosine phosphorylation of P54nrb is essential for it to be retained in nuclear matrix (Otto et al., 2001). The N-terminal phosphorylation is speculated but not much has been investigated. The protein has two distinct RNA recognition motifs (RRMs) in its N-terminus that are responsible for its RNA binding activity. The significance of the p54/nrb-PSF heterodimer cannot be undermined as they have been shown to be important during HIV replication. The dimer is recruited by viral machinery and P54nrb has been shown to be exported to cytosol for binding to replicative complexes (Zolotukhin et al., 2003). During adenoviral replication in nucleus many SR proteins are recruited to viral replication foci and rearrangement of speckle components happen. It has been shown with respect to speckles that nuclear domains are highly dynamic and exchange of proteins depends upon the transcriptional status of cell (Lamond and Spector, 2003). Flaviviral replication complexes are hosted in nucleus and ~20% of this complex docks in nucleus and serves as an alternate site for viral replication. The presence of viral replicative complexes alters the nuclear organisation and hence modulation of gene expression is expected (Uchil et al., 2006). The up regulation of nuclear ncRNA such as VINC is definitively one of those events associated with viral replication and definitively one needs to study the various changes carefully to understand the role of VINC in virus life cycle and/or viral pathogenesis. VINC interaction with the multi-functional nuclear protein P54nrb raises interesting aspects related to function of P54nrb in JEV infection. Knockdown of P54nrb in human myeloid cell line results in abnormal size of paraspeckles and impairs chondrogenesis (Hata et al., 2008). PSF-P54nrb complex can divert many of HIV gag RNA complexes to paraspeckles thus trying to restrict viral replication. However the exact relationship between paraspeckles and its constituent proteins is not clear. The presence of ncRNA adds another new dimension to paraspeckles. It is unclear whether the ncRNA VINC is essential for paraspeckle structure but a recent study indicates that Men (VINC/NEATI) RNA may be essential for paraspeckle formation (Sunwoo et al., 2008). The exact function VINC in neuronal as well as non-neuronal cell nuclei remains elusive and more investigations are need to understand these aspects.