989 resultados para ARNTL Transcription Factors
Resumo:
Lipophilic compounds such as retinoic acid and long-chain fatty acids regulate gene transcription by activating nuclear receptors such as retinoic acid receptors (RARs) and peroxisome proliferator-activated receptors (PPARs). These compounds also bind in cells to members of the family of intracellular lipid binding proteins, which includes cellular retinoic acid-binding proteins (CRABPs) and fatty acid binding proteins (FABPs). We previously reported that CRABP-II enhances the transcriptional activity of RAR by directly targeting retinoic acid to the receptor. Here, potential functional cooperation between FABPs and PPARs in regulating the transcriptional activities of their common ligands was investigated. We show that adipocyte FABP and keratinocyte FABP (A-FABP and K-FABP, respectively) selectively enhance the activities of PPARgamma and PPARbeta, respectively, and that these FABPs massively relocate to the nucleus in response to selective ligands for the PPAR isotype which they activate. We show further that A-FABP and K-FABP interact directly with PPARgamma and PPARbeta and that they do so in a receptor- and ligand-selective manner. Finally, the data demonstrate that the presence of high levels of K-FABP in keratinocytes is essential for PPARbeta-mediated induction of differentiation of these cells. Taken together, the data establish that A-FABP and K-FABP govern the transcriptional activities of their ligands by targeting them to cognate PPARs in the nucleus, thereby enabling PPARs to exert their biological functions.
Resumo:
The protein kinase casein kinase 2 (CK2) phosphorylates different components of the RNA polymerase I (Pol I) transcription machinery and exerts a positive effect on rRNA gene (rDNA) transcription. Here we show that CK2 phosphorylates the transcription initiation factor TIF-IA at serines 170 and 172 (Ser170/172), and this phosphorylation triggers the release of TIF-IA from Pol I after transcription initiation. Inhibition of Ser170/172 phosphorylation or covalent tethering of TIF-IA to the RPA43 subunit of Pol I inhibits rDNA transcription, leading to perturbation of nucleolar structure and cell cycle arrest. Fluorescence recovery after photobleaching and chromatin immunoprecipitation experiments demonstrate that dissociation of TIF-IA from Pol I is a prerequisite for proper transcription elongation. In support of phosphorylation of TIF-IA switching from the initiation into the elongation phase, dephosphorylation of Ser170/172 by FCP1 facilitates the reassociation of TIF-IA with Pol I, allowing a new round of rDNA transcription. The results reveal a mechanism by which the functional interplay between CK2 and FCP1 sustains multiple rounds of Pol I transcription.
Resumo:
Abstract One of the most important issues in molecular biology is to understand regulatory mechanisms that control gene expression. Gene expression is often regulated by proteins, called transcription factors which bind to short (5 to 20 base pairs),degenerate segments of DNA. Experimental efforts towards understanding the sequence specificity of transcription factors is laborious and expensive, but can be substantially accelerated with the use of computational predictions. This thesis describes the use of algorithms and resources for transcriptionfactor binding site analysis in addressing quantitative modelling, where probabilitic models are built to represent binding properties of a transcription factor and can be used to find new functional binding sites in genomes. Initially, an open-access database(HTPSELEX) was created, holding high quality binding sequences for two eukaryotic families of transcription factors namely CTF/NF1 and LEFT/TCF. The binding sequences were elucidated using a recently described experimental procedure called HTP-SELEX, that allows generation of large number (> 1000) of binding sites using mass sequencing technology. For each HTP-SELEX experiments we also provide accurate primary experimental information about the protein material used, details of the wet lab protocol, an archive of sequencing trace files, and assembled clone sequences of binding sequences. The database also offers reasonably large SELEX libraries obtained with conventional low-throughput protocols.The database is available at http://wwwisrec.isb-sib.ch/htpselex/ and and ftp://ftp.isrec.isb-sib.ch/pub/databases/htpselex. The Expectation-Maximisation(EM) algorithm is one the frequently used methods to estimate probabilistic models to represent the sequence specificity of transcription factors. We present computer simulations in order to estimate the precision of EM estimated models as a function of data set parameters(like length of initial sequences, number of initial sequences, percentage of nonbinding sequences). We observed a remarkable robustness of the EM algorithm with regard to length of training sequences and the degree of contamination. The HTPSELEX database and the benchmarked results of the EM algorithm formed part of the foundation for the subsequent project, where a statistical framework called hidden Markov model has been developed to represent sequence specificity of the transcription factors CTF/NF1 and LEF1/TCF using the HTP-SELEX experiment data. The hidden Markov model framework is capable of both predicting and classifying CTF/NF1 and LEF1/TCF binding sites. A covariance analysis of the binding sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism. We next tested the LEF1/TCF model by computing binding scores for a set of LEF1/TCF binding sequences for which relative affinities were determined experimentally using non-linear regression. The predicted and experimentally determined binding affinities were in good correlation.
Resumo:
We have previously shown that transcription from the vaccinia virus 7.5K early promoter is reactivated late in infection (J. Garcés, K. Masternak, B. Kunz, and R. Wittek, J. Virol. 67:5394-5401, 1993). To identify the sequence elements mediating reactivation, we constructed recombinant viruses harboring deletions, substitutions, or insertions in the 7.5K promoter or its flanking regions. The analysis of these viruses showed that sequences both upstream as well as downstream of the transcription initiation site contribute to reactivation of the 7.5K promoter. We tested whether reactivation could be explained by a high affinity of vaccinia virus early transcription factor to reactivated promoters. Bandshift experiments using purified protein showed that promoters which bind the factor with high affinity in general also have high early transcriptional activity. However, no correlation was found between affinity of the factor and reactivation. Interestingly, overexpression of recombinant early transcription factor in vaccinia virus-infected cells resulted in a shutdown of late transcription and in reactivation of promoters, which are normally not reactivated.
Resumo:
The aim of the present study was to identify Candida albicans transcription factors (TFs) involved in virulence. Although mice are considered the gold-standard model to study fungal virulence, mini-host infection models have been increasingly used. Here, barcoded TF mutants were first screened in mice by pools of strains and fungal burdens (FBs) quantified in kidneys. Mutants of unannotated genes which generated a kidney FB significantly different from that of wild-type were selected and individually examined in Galleria mellonella. In addition, mutants that could not be detected in mice were also tested in G. mellonella. Only 25% of these mutants displayed matching phenotypes in both hosts, highlighting a significant discrepancy between the two models. To address the basis of this difference (pool or host effects), a set of 19 mutants tested in G. mellonella were also injected individually into mice. Matching FB phenotypes were observed in 50% of the cases, highlighting the bias due to host effects. In contrast, 33.4% concordance was observed between pool and single strain infections in mice, thereby highlighting the bias introduced by the "pool effect." After filtering the results obtained from the two infection models, mutants for MBF1 and ZCF6 were selected. Independent marker-free mutants were subsequently tested in both hosts to validate previous results. The MBF1 mutant showed impaired infection in both models, while the ZCF6 mutant was only significant in mice infections. The two mutants showed no obvious in vitro phenotypes compared with the wild-type, indicating that these genes might be specifically involved in in vivo adapt.
Resumo:
Most metazoans rely on aerobic energy production, which is dependent on adequate oxygen supply. In the case of reduced oxygen supply (hypoxia), the most profound changes in gene expression are mediated by transcription factors named hypoxia-inducible factors (HIF alpha). These proteins are post-translationally regulated by prolyl-4-hydroxylase (PHD) enzymes that are direct “sensors” of cellular oxygen levels. This thesis examines the molecular evolution of metazoan HIF systems. In early metazoans the HIF system emerged from pre-existing PHD oxygen sensors and early bHLH-PAS transcription factors. In invertebrates our analysis revealed an unexpected diversity of PHD genes and HIF alpha sequence characteristics. An early branching vertebrate, the epaulette shark (Hemiscyllium ocellatum) was chosen for sequencing and hypoxia preconditioning studies of HIF alpha and PHD genes. As no quantitative PCR reference genes were available, this thesis includes the first study of reference genes in cartilaginous fish species. Applying multiple statistical analysis we also discoveredthat commonly used reference gene software may perform poorly with some data sets. Novel reference genes allowed accurate measurements of the mRNAlevels of the studied target genes. Cartilaginous fishes have three genomic duplicates of both HIF alpha and PHD genes like mammals and teleost fishes. Combining functional divergence and selection analyses it was possible to describe how sequence changes in both HIF alpha and PHD duplicates may have contributed to the differential oxygen sensitivityof HIF alphas. Additionally, novel teleost HIF-1 alpha sequences were produced and used to reveal the molecular evolution of HIF-1 alpha in this lineage rich with hypoxia tolerant species.
Resumo:
Chondrogenesis is a co-ordinated differentiation process in which mesenchymal cells condensate, differentiate into chondrocytes and begin to secrete molecules that form the extracellular matrix. It is regulated in a spatio-temporal manner by cellular interactions and growth and differentiation factors that modulate cellular signalling pathways and transcription of specific genes. Moreover, post-transcriptional regulation by microRNAs (miRNAs) has appeared to play a central role in diverse biological processes, but their role in skeletal development is not fully understood. Mesenchymal stromal cells (MSCs) are multipotent cells present in a variety of adult tissues, including bone marrow and adipose tissue. They can be isolated, expanded and, under defined conditions, induced to differentiate into multiple cell lineages including chondrocytes, osteoblasts and adipocytes in vitro and in vivo. Owing to their intrinsic capability to self-renew and differentiate into functional cell types, MSCs provide a promising source for cell-based therapeutic strategies for various degenerative diseases, such as osteoarthritis (OA). Due to the potential therapeutic applications, it is of importance to better understand the MSC biology and the regulatory mechanisms of their differentiation. In this study, an in vitro assay for chondrogenic differentiation of mouse MSCs (mMSCs) was developed for the screening of various factors for their chondrogenic potential. Conditions were optimized for pellet cultures by inducing mMSC with different bone morphogenetic proteins (BMPs) that were selected based on their known chondrogenic relevance. Characterization of the surface epitope profile, differentiation capacity and molecular signature of mMSCs illustrated the importance of cell population composition and the interaction between different populations in the cell fate determination and differentiation of MSCs. Regulation of Wnt signalling activity by Wnt antagonist sFRP-1 was elucidated as a potential modulator of lineage commitment. Delta-like 1 (dlk1), a factor regulating adipogenesis and osteogenesis, was shown to exhibit stage-specific expression during embryonic chondrogenesis and identified as a novel regulator of chondrogenesis, possibly through mediating the effect of TGF-beta1. Moreover, miRNA profiling demonstrated that MSCs differentiating into a certain lineage exhibit a specific miRNA expression profile. The complex regulatory network between miRNAs and transcription factors is suggested to play a crucial role in fine-tuning the differentiation of MSCs. These results demonstrate that commitment of mesenchymal stromal cells and further differentiation into specific lineages is regulated by interactions between MSCs, various growth and transcription factors, and miRNA-mediated translational repression of lineage-specific genes.
Resumo:
Heat shock factors (HSFs) are an evolutionarily well conserved family of transcription factors that coordinate stress-induced gene expression and direct versatile physiological processes in eukaryote organisms. The essentiality of HSFs for cellular homeostasis has been well demonstrated, mainly through HSF1-induced transcription of heat shock protein (HSP) genes. HSFs are important regulators of many fundamental processes such as gametogenesis, metabolic control and aging, and are involved in pathological conditions including cancer progression and neurodegenerative diseases. In each of the HSF-mediated processes, however, the detailed mechanisms of HSF family members and their complete set of target genes have remained unknown. Recently, rapid advances in chromatin studies have enabled genome-wide characterization of protein binding sites in a high resolution and in an unbiased manner. In this PhD thesis, these novel methods that base on chromatin immunoprecipitation (ChIP) are utilized and the genome-wide target loci for HSF1 and HSF2 are identified in cellular stress responses and in developmental processes. The thesis and its original publications characterize the individual and shared target genes of HSF1 and HSF2, describe HSF1 as a potent transactivator, and discover HSF2 as an epigenetic regulator that coordinates gene expression throughout the cell cycle progression. In male gametogenesis, novel physiological functions for HSF1 and HSF2 are revealed and HSFs are demonstrated to control the expression of X- and Y-chromosomal multicopy genes in a silenced chromatin environment. In stressed human cells, HSF1 and HSF2 are shown to coordinate the expression of a wide variety of genes including genes for chaperone machinery, ubiquitin, regulators of cell cycle progression and signaling. These results highlight the importance of cell type and cell cycle phase in transcriptional responses, reveal the myriad of processes that are adjusted in a stressed cell and describe novel mechanisms that maintain transcriptional memory in mitotic cell division.
Resumo:
The objectives of the present study were to identify the cis-elements of the promoter absolutely required for the efficient rat NHE3 gene transcription and to locate positive and negative regulatory elements in the 5’-flanking sequence (5’FS), which might modulate the gene expression in proximal tubules, and to compare this result to those reported for intestinal cell lines. We analyzed the promoter activity of different 5’FS segments of the rat NHE3 gene, in the OKP renal proximal tubule cell line by measuring the activity of the reporter gene luciferase. Because the segment spanning the first 157 bp of 5’FS was the most active it was studied in more detail by sequential deletions, point mutations, and gel shift assays. The essential elements for gene transcription are in the region -85 to -33, where we can identify consensual binding sites for Sp1 and EGR-1, which are relevant to NHE3 gene basal transcription. Although a low level of transcription is still possible when the first 25 bp of the 5’FS are used as promoter, efficient transcription only occurs with 44 bp of 5’FS. There are negative regulatory elements in the segments spanning -1196 to -889 and -467 to -152, and positive enhancers between -889 and -479 bp of 5’FS. Transcription factors in the OKP cell nuclear extract efficiently bound to DNA elements of rat NHE3 promoter as demonstrated by gel shift assays, suggesting a high level of similarity between transcription factors of both species, including Sp1 and EGR-1.
Resumo:
Cocaine is a widely used drug and its abuse is associated with physical, psychiatric and social problems. Abnormalities in newborns have been demonstrated to be due to the toxic effects of cocaine during fetal development. The mechanism by which cocaine causes neurological damage is complex and involves interactions of the drug with several neurotransmitter systems, such as the increase of extracellular levels of dopamine and free radicals, and modulation of transcription factors. The aim of this review was to evaluate the importance of the dopaminergic system and the participation of inflammatory signaling in cocaine neurotoxicity. Our study showed that cocaine activates the transcription factors NF-κB and CREB, which regulate genes involved in cellular death. GBR 12909 (an inhibitor of dopamine reuptake), lidocaine (a local anesthetic), and dopamine did not activate NF-κB in the same way as cocaine. However, the attenuation of NF-κB activity after the pretreatment of the cells with SCH 23390, a D1 receptor antagonist, suggests that the activation of NF-κB by cocaine is, at least partially, due to activation of D1 receptors. NF-κB seems to have a protective role in these cells because its inhibition increased cellular death caused by cocaine. The increase in BDNF (brain-derived neurotrophic factor) mRNA can also be related to the protective role of both CREB and NF-κB transcription factors. An understanding of the mechanisms by which cocaine induces cell death in the brain will contribute to the development of new therapies for drug abusers, which can help to slow down the progress of degenerative processes.
Resumo:
During infection, the model plant Arabidopsis thaliana is capable of activating long lasting defence responses both in tissue directly affected by the pathogen and in more distal tissue. Systemic acquired resistance (SAR) is a type of systemic defence response deployed against biotrophic pathogens resulting in altered plant gene expression and production of antimicrobial compounds. One such gene involved in plant defence is called pathogenesis-related 1 (PR1) and is under the control of several protein regulators. TGA II-clade transcription factors (namely TGA2) repress PR1 activity prior to infection by forming large oligomeric complexes effectively blocking gene transcription. After pathogen detection, these complexes are dispersed by a mechanism unknown until now and free TGA molecules interact with the non-expressor of pathogenesis-related gene 1 (NPR1) protein forming an activating complex enabling PR1 transcription. This study elucidates the TGA2 dissociation mechanism by introducing protein kinase CK2 into this process. This enzyme efficiently phosphorylates TGA2 resulting in two crucial events. Firstly, the DNA-binding ability of this transcription factor is completely abolished explaining how the large TGA2 complexes are quickly evicted from the PR1 promoter. Secondly, a portion of TGA2 molecules dissociate from the complexes after phosphorylation which likely makes them available for the formation of the TGA2-NPR1 activating complex. We also show that phosphorylation of a multiserine motif found within TGA2’s N terminus is responsible for the change of affinity to DNA, while modification of a single threonine in the leucine zipper domain seems to be responsible for deoligomerization. Despite the substantial changes caused by phosphorylation, TGA2 is still capable of interacting with NPR1 and these proteins together form a complex on DNA promoting PR1 transcription. Therefore, we propose a change in the current model of how PR1 is regulated by adding CK2 which targets TGA2 displacing it’s complexes from the promoter and providing solitary TGA2 molecules for assembly of the activating complex. Amino acid sequences of regions targeted by CK2 in Arabidopsis TGA2 are similar to those found in TGA2 homologs in rice and tobacco. Therefore, the molecular mechanism that we have identified may be conserved among various plants, including important crop species, adding to the significance of our findings.
Resumo:
La rétinogésèse des vertébrés est la culmination de processus biologiques complexes parfaitement exécutés. Cette délicate orchestration est principalement contrôlée par les facteurs de transcription qui permettent aux progéniteurs rétiniens de proliférer, de s’auto-renouveler et de se différencier de façon appropriée. Les facteurs de transcription à homéodomaine sont les protéines qui sont responsables de la démarcation du site du primordium optique et participeront même à la différenciation tardive des différents types cellulaires de la rétine. Le contrôle génétique concernant l‘activation de l’expression de facteurs de transcription est peu connu. Nous avons étudié les séquences génomique avoisinant le gène Six6 afin d’identifier et mieux comprendre son promoteur. Des expériences d’immunoprécipitation de chromatine et des essais luciférases ont confirmé la liaison et la transactivation synergique du promoteur potentiel de Six6 par Lhx2 et Pax6 in vitro. Cette présente étude confirme et précise également le rôle de Lhx2 au niveau du développement précoce de l’oeil. La compréhension détaillée des réseaux génétiques régulant les progéniteurs rétiniens à former une rétine fonctionnelle est essentielle. En effet, lorsque ces connaissances seront acquises, nous serons en mesure d’appliquer les thérapies cellulaires pour rétablir les fonctions rétiniennes lors de pathologies dégénératives.
Resumo:
Bien que partageant une homologie structurelle évidente, les membres antérieurs (MA) sont toujours différents des membres postérieurs (MP). Ceci suggère l’existence d’un programme générique de formation d’un membre, un bauplan, qui doit être modulé de façon spécifique pour engendrer cette différence antéro-postérieure de l’identité. Nous avons donc voulu identifier les mécanismes déployés durant l’évolution pour permettre la mise en place de l’identité des membres. Le laboratoire avait précédemment caractérisé, chez les souris où le gène Pitx1 est inactivé, une transformation partielle des MP en MA couplée à une perte de croissance. Nous avons donc cherché à comprendre les mécanismes en aval de Pitx1 dans la détermination de l’identité postérieure. Notre démarche nous a permis d’identifier les gènes affectés par la perte de Pitx1 dans les MP, où nous avons confirmé une dérégulation de l’expression de Tbx4. Tbx4 et Tbx5 sont des candidats évidents pour déterminer l’identité, leur expression étant restreinte aux MP et MA, respectivement, mais leur implication dans ce processus était sujette à controverse. Nous avons donc évalué l’apport de Tbx4 en aval de Pitx1 dans les processus d’identité en restaurant son expression dans les MP des souris Pitx1-/-. Ce faisant, nous avons pu montrer que Tbx4 est capable de pallier la perte de Pitx1 dans le MP, en rétablissant à la fois les caractères d’identité postérieure et la croissance. En parallèle, nous avons montré que Tbx5 était capable de rétablir la croissance mais non l’identité des MP Pitx1-/-, démontrant ainsi de façon définitive une propriété propre à Tbx4 dans la détermination de l’identité des membres postérieure. La caractérisation de l’activité transcriptionnelle de Tbx4 et Tbx5 nous a permis de mettre en évidence un domaine activateur conservé mais aussi un domaine spécifique à Tbx4, répresseur de la transcription. Par ailleurs, une mutation faux-sens de TBX4 dans les patients atteints du syndrome coxo-podo-patellaire, TBX4Q531R, inactive le domaine répresseur, empêchant la compensation de l’identité mais non de la croissance des MP dépourvus de Pitx1, démontrant l’importance de cette fonction dans l’identité postérieure. La caractérisation de l’activité répressive de Tbx4, qui se manifeste seulement dans les membres postérieurs démontre l’importance de cette fonction dans l’identité postérieure. Nous avons aussi été en mesure d’identifier un corépresseur qui est suffisant pour supporter cette activité de Tbx4. Enfin, nous avons pu aussi démontrer l’activité transcriptionnelle d’un représentant du gène ancestral, présent chez Amphioxus, qui se comporte strictement comme un activateur et semble dépourvu du domaine répresseur. En somme, nous avons précisé le rôle de Tbx4 et Tbx5, ainsi que leur mécanisme, dans la détermination de l’identité des membres. Globalement, nos travaux permettent d’élaborer une théorie où une divergence d’activité transcriptionnelle de Tbx4 et Tbx5 est responsable de l’identité des membres et même entrevoir que cette divergence d’activité soit à la base de son apparition durant l’évolution.
Resumo:
Les protéines sont les macromolécules les plus polyvalentes de la cellule. Elles jouent un rôle fondamental dans la majorité des processus biologiques à travers la formation de complexes multi-protéiques. Durant la transcription, une multitude de facteurs sont impliquées dans le contrôle de l’activité des complexes ARN polymérases. Notre laboratoire s’est intéressé au réseau d’interaction de la machinerie de transcription des ARN polymérases nucléaires, dans le but de mieux comprendre leurs mécanismes de régulation. Pour ce faire, une procédure protéomique comprenant la purification de complexes protéiques par affinité couplée à la spectrométrie de masse et à l’analyse bioinformatique a été développée. La méthode de purification TAP (Tandem Affinity Purification) a été adaptée pour permettre la purification de complexes protéiques solubles assemblés in vivo à partir de cellules humaines. L’objectif de mon projet de maîtrise était de purifier le complexe de l’ARN Pol I ainsi que de poursuivre l’expansion du réseau d’interactions protéine-protéine de la machinerie de transcription de l’ARN Pol II humaine. À l’aide des protéines POLR1E, TWISTNB, POLR2E, PFDN4, MBD2, XPA, CAND1 et PDCD5 étiquetées (TAP-tag) exprimées dans des lignées cellulaires ECR-293, plusieurs complexes protéiques solubles ont été purifiés et analysés par spectrométrie de masse. Les interactions protéiques ont été triées et validées bioinformatiquement pour donner en final une liste d’interactions ayant un haut degré de confiance à partir de laquelle des réseaux d’interactions protéine-protéine ont été créés. Le réseau créé au cours de ce projet connecte plusieurs composantes de la machinerie transcriptionnelle tels que les ARN Pol I, II et III, les complexes RPAP3/R2TP/prefoldin-like, TRiC/CCT, Mi-2/NuRD et des facteurs de transcription et de réparation de l’ADN. Ce type d’analyse nous a permis d’identifier et de caractériser de nouveaux régulateurs de la machinerie de transcription de l’ARN Pol I et II et de mieux comprendre son fonctionnement.
Resumo:
La méthode ChIP-seq est une technologie combinant la technique de chromatine immunoprecipitation avec le séquençage haut-débit et permettant l’analyse in vivo des facteurs de transcription à grande échelle. Le traitement des grandes quantités de données ainsi générées nécessite des moyens informatiques performants et de nombreux outils ont vu le jour récemment. Reste cependant que cette multiplication des logiciels réalisant chacun une étape de l’analyse engendre des problèmes de compatibilité et complique les analyses. Il existe ainsi un besoin important pour une suite de logiciels performante et flexible permettant l’identification des motifs. Nous proposons ici un ensemble complet d’analyse de données ChIP-seq disponible librement dans R et composé de trois modules PICS, rGADEM et MotIV. A travers l’analyse de quatre jeux de données des facteurs de transcription CTCF, STAT1, FOXA1 et ER nous avons démontré l’efficacité de notre ensemble d’analyse et mis en avant les fonctionnalités novatrices de celui-ci, notamment concernant le traitement des résultats par MotIV conduisant à la découverte de motifs non détectés par les autres algorithmes.