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A critical event during the life cycle of Dictyostelium discoideum is glycogen turnover. This process is catalyzed by glycogen phosphorylase-2 (gp-2). Since gp-2 expression is first induced during the transition from growth to differentiation, understanding how this gene is controlled may provide some insight into the process of differentiation. In order to identify the trans-acting factors responsible for activating gp-2 expression, cDNA plasmid libraries of amoebae, and cells at 8 h and 12 h of development were generated. The long-term goals of this project involve screening expression libraries with identified cis-acting elements from the gp-2 promoter to yield the DNA binding proteins responsible for gene regulation. For this approach to succeed, a high-quality cDNA library is essential. The library must contain full-length cDNA that represents the complexity of mRNA present during the developmental stage of interest. Hence, all three libraries were subjected to extensive testing prior to and following cloning. RNA quality and the fidelity of the time points were determined by Northern blot analysis and by RTPCR for several marker genes. Following cDNA synthesis, the cDNA was assessed for complexity and full-length synthesis by PCR and radioactive primer extension, respectively. Ligation of the cDNA into a vector was performed using several ratios of vector:insert in order to ensure that long cDNA species were included in the plasmid library. Finally, the presence of the marker genes was confirmed by PCR amplification of plasmid extracted from bacteria transformed with the plasmid library. / Master of Science

Thesis (Ph.D. in Biophysics & Genetics, Human Medical Genetics Program) -- University of Colorado Denver, 2007. / Typescript. Includes bibliographical references (leaves 123-147). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;

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De récentes découvertes montrent le rôle important que joue l’acide ribonucléique (ARN) au sein des cellules, que ce soit le contrôle de l’expression génétique, la régulation de plusieurs processus homéostasiques, en plus de la transcription et la traduction de l’acide désoxyribonucléique (ADN) en protéine. Si l’on veut comprendre comment la cellule fonctionne, nous devons d’abords comprendre ses composantes et comment ils interagissent, et en particulier chez l’ARN. La fonction d’une molécule est tributaire de sa structure tridimensionnelle (3D). Or, déterminer expérimentalement la structure 3D d’un ARN s’avère fort coûteux. Les méthodes courantes de prédiction par ordinateur de la structure d’un ARN ne tiennent compte que des appariements classiques ou canoniques, similaires à ceux de la fameuse structure en double-hélice de l’ADN. Ici, nous avons amélioré la prédiction de structures d’ARN en tenant compte de tous les types possibles d’appariements, dont ceux dits non-canoniques. Cela est rendu possible dans le contexte d’un nouveau paradigme pour le repliement des ARN, basé sur les motifs cycliques de nucléotides ; des blocs de bases pour la construction des ARN. De plus, nous avons dévelopées de nouvelles métriques pour quantifier la précision des méthodes de prédiction des structures 3D des ARN, vue l’introduction récente de plusieurs de ces méthodes. Enfin, nous avons évalué le pouvoir prédictif des nouvelles techniques de sondage de basse résolution des structures d’ARN. / Recent findings show the important role of ribonucleic acid (RNA) within the cell, be it the control of gene expression, the regulation of several homeostatic processes, in addition to the transcription and translation of deoxyribonucleic acid (DNA) into protein. If we wish to understand how the cell works, we first need to understand its components and how they interact, and in particular for RNA. The function of a molecule is tributary of its three-dimensional (3D) structure. However, experimental determination of RNA 3D structures imparts great costs. Current methods for RNA structure prediction by computers only take into account the classical or canonical base pairs, similar to those found in the well-celebrated DNA double helix. Here, we improved RNA structure prediction by taking into account all possible types of base pairs, even those said non-canonicals. This is made possible in the context of a new paradigm for the folding of RNA, based on nucleotide cyclic motifs (NCM): basic blocks for the construction of RNA. Furthermore, we have developed new metrics to quantify the precision of RNA 3D structure prediction methods, given the recent introduction of many of those methods. Finally, we have evaluated the predictive power of the latest low-resolution RNA structure probing techniques.

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.

De récentes découvertes montrent le rôle important que joue l’acide ribonucléique (ARN) au sein des cellules, que ce soit le contrôle de l’expression génétique, la régulation de plusieurs processus homéostasiques, en plus de la transcription et la traduction de l’acide désoxyribonucléique (ADN) en protéine. Si l’on veut comprendre comment la cellule fonctionne, nous devons d’abords comprendre ses composantes et comment ils interagissent, et en particulier chez l’ARN. La fonction d’une molécule est tributaire de sa structure tridimensionnelle (3D). Or, déterminer expérimentalement la structure 3D d’un ARN s’avère fort coûteux. Les méthodes courantes de prédiction par ordinateur de la structure d’un ARN ne tiennent compte que des appariements classiques ou canoniques, similaires à ceux de la fameuse structure en double-hélice de l’ADN. Ici, nous avons amélioré la prédiction de structures d’ARN en tenant compte de tous les types possibles d’appariements, dont ceux dits non-canoniques. Cela est rendu possible dans le contexte d’un nouveau paradigme pour le repliement des ARN, basé sur les motifs cycliques de nucléotides ; des blocs de bases pour la construction des ARN. De plus, nous avons dévelopées de nouvelles métriques pour quantifier la précision des méthodes de prédiction des structures 3D des ARN, vue l’introduction récente de plusieurs de ces méthodes. Enfin, nous avons évalué le pouvoir prédictif des nouvelles techniques de sondage de basse résolution des structures d’ARN. / Recent findings show the important role of ribonucleic acid (RNA) within the cell, be it the control of gene expression, the regulation of several homeostatic processes, in addition to the transcription and translation of deoxyribonucleic acid (DNA) into protein. If we wish to understand how the cell works, we first need to understand its components and how they interact, and in particular for RNA. The function of a molecule is tributary of its three-dimensional (3D) structure. However, experimental determination of RNA 3D structures imparts great costs. Current methods for RNA structure prediction by computers only take into account the classical or canonical base pairs, similar to those found in the well-celebrated DNA double helix. Here, we improved RNA structure prediction by taking into account all possible types of base pairs, even those said non-canonicals. This is made possible in the context of a new paradigm for the folding of RNA, based on nucleotide cyclic motifs (NCM): basic blocks for the construction of RNA. Furthermore, we have developed new metrics to quantify the precision of RNA 3D structure prediction methods, given the recent introduction of many of those methods. Finally, we have evaluated the predictive power of the latest low-resolution RNA structure probing techniques.