960 resultados para Gene Regulation
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BACKGROUND/AIMS: The Peroxisome Proliferator-Activated Receptor (PPAR) alpha belongs to the superfamily of Nuclear Receptors and plays an important role in numerous cellular processes, including lipid metabolism. It is known that PPARalpha also has an anti-inflammatory effect, which is mainly achieved by down-regulating pro-inflammatory genes. The objective of this study was to further characterize the role of PPARalpha in inflammatory gene regulation in liver. RESULTS: According to Affymetrix micro-array analysis, the expression of various inflammatory genes in liver was decreased by treatment of mice with the synthetic PPARalpha agonist Wy14643 in a PPARalpha-dependent manner. In contrast, expression of Interleukin-1 receptor antagonist (IL-1ra), which was acutely stimulated by LPS treatment, was induced by PPARalpha. Up-regulation of IL-1ra by LPS was lower in PPARalpha -/- mice compared to Wt mice. Transactivation and chromatin immunoprecipitation studies identified IL-1ra as a direct positive target gene of PPARalpha with a functional PPRE present in the promoter. Up-regulation of IL-1ra by PPARalpha was conserved in human HepG2 hepatoma cells and the human monocyte/macrophage THP-1 cell line. CONCLUSIONS: In addition to down-regulating expression of pro-inflammatory genes, PPARalpha suppresses the inflammatory response by direct up-regulation of genes with anti-inflammatory properties.
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In mammalian cells, proper gene regulation is achieved by the complex interplay of transcription factors that activate or repress gene expression by binding to the regulatory regions of target promoters. While transcriptional activators have been extensively characterised and classified into functional groups, relatively little is known about the comparative strength and cell type-specificity of transcriptional repressors. Here, we have compared the ability of a series of eukaryotic repression domains to silence basal and activated transcription. A series of the most potent repression domains was further tested in the context of a gene therapy gene-switch system in various cell types. The results indicate that the analysed repression domains exert varying silencing activities in different promoter contexts. Furthermore, their potential for gene silencing varies also depending on the cellular context. When multimerised within one chimeric repressor protein, particular combinations of repressor domains were found to display synergistic repressing effects and efficient repression in a panel of cell lines. This approach thus allowed the identification of transcriptional repressors that are both potent and versatile in terms of cellular specificity as a basis for gene switch systems.
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MOTIVATION: Understanding gene regulation in biological processes and modeling the robustness of underlying regulatory networks is an important problem that is currently being addressed by computational systems biologists. Lately, there has been a renewed interest in Boolean modeling techniques for gene regulatory networks (GRNs). However, due to their deterministic nature, it is often difficult to identify whether these modeling approaches are robust to the addition of stochastic noise that is widespread in gene regulatory processes. Stochasticity in Boolean models of GRNs has been addressed relatively sparingly in the past, mainly by flipping the expression of genes between different expression levels with a predefined probability. This stochasticity in nodes (SIN) model leads to over representation of noise in GRNs and hence non-correspondence with biological observations. RESULTS: In this article, we introduce the stochasticity in functions (SIF) model for simulating stochasticity in Boolean models of GRNs. By providing biological motivation behind the use of the SIF model and applying it to the T-helper and T-cell activation networks, we show that the SIF model provides more biologically robust results than the existing SIN model of stochasticity in GRNs. AVAILABILITY: Algorithms are made available under our Boolean modeling toolbox, GenYsis. The software binaries can be downloaded from http://si2.epfl.ch/ approximately garg/genysis.html.
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Transcriptome analysis is a powerful tool for unveiling the distribution and magnitude of genetic incompatibilities between hybridizing taxa. The nature of such incompatibilities is closely associated with the evolutionary histories of the parental species and may differ across tissues and between the sexes. In eusocial insects, the presence of castes that experience divergent selection regimes may result in additional distinct patterns of caste-specific hybrid incompatibilities. We analysed levels of expression of >14 000 genes in two life stages of each caste in the fire ants Solenopsis invicta and Solenopsis richteri and in their hybrids. We found strong contributions of both developmental stage and caste to gene expression patterns. In contrast, variability in expression was only weakly associated with taxonomic identity, with hybrid scores falling between those of the two parental species. Hybrid incompatibilities were surprisingly modest, with only 32 genes being mis-expressed, indicating low levels of disruption in gene regulation in hybrids; males and workers each mis-expressed at least seven times as many genes as queens. Interestingly, homologues of many of the mis-expressed genes have been implicated in behavioural variation in Drosophila melanogaster. General expression profiles of hybrids consistently were more similar to those of S. richteri than S. invicta, presumably because S. richteri trans-regulatory elements tend to be dominant and/or because there is an overall bias in the genetic composition of the hybrids towards S. richteri. Altogether, our results suggest that selection acting on each caste may contribute differently to interspecific divergence and speciation in this group of ants.
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The molecular mechanisms underlying transcription elongation and their role in gene regulation are poorly characterized in eukaryotes. A number of genes, however, have been proposed to be regulated at the level of transcription elongation, including c-myc, c-fos and c-myb. Here, we analyze the control of transcription elongation at the mouse c-fos gene at the nucleotide level in intact cells. We find that RNA polymerases are engaged in the promoter-proximal part of the gene in the absence of gene activation signals and mRNA synthesis. Importantly, we determine that the engaged RNA polymerases originate from a continuous initiation of transcription which, in the absence of gene activation signals, terminate close to the promoter. We also observe that the c-fos gene presents an active chromatin conformation, with the promoter and upstream regulatory sequences constitutively occupied by proteins, accounting for the continuous initiation of RNA polymerase complexes. We propose that activation of c-fos gene expression results primarily from the assembly of elongation-competent RNA polymerases that can transcribe the complete gene. Our results suggest that the engaged RNA polymerases found downstream of a number of other eukaryotic promoters may be associated with transcription termination of elongation-incompetent polymerases in the absence of activating signals.
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Association studies have revealed expression quantitative trait loci (eQTLs) for a large number of genes. However, the causative variants that regulate gene expression levels are generally unknown. We hypothesized that copy-number variation of sequence repeats contribute to the expression variation of some genes. Our laboratory has previously identified that the rare expansion of a repeat c.-174CGGGGCGGGGCG in the promoter region of the CSTB gene causes a silencing of the gene, resulting in progressive myoclonus epilepsy. Here, we genotyped the repeat length and quantified CSTB expression by quantitative real-time polymerase chain reaction in 173 lymphoblastoid cell lines (LCLs) and fibroblast samples from the GenCord collection. The majority of alleles contain either two or three copies of this repeat. Independent analysis revealed that the c.-174CGGGGCGGGGCG repeat length is strongly associated with CSTB expression (P = 3.14 × 10(-11)) in LCLs only. Examination of both genotyped and imputed single-nucleotide polymorphisms (SNPs) within 2 Mb of CSTB revealed that the dodecamer repeat represents the strongest cis-eQTL for CSTB in LCLs. We conclude that the common two or three copy variation is likely the causative cis-eQTL for CSTB expression variation. More broadly, we propose that polymorphic tandem repeats may represent the causative variation of a fraction of cis-eQTLs in the genome.
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We have analyzed middle repetitive DNA in the albumin and vitellogenin gene families of Xenopus laevis. Mapping specific repetitive DNA sequences derived from introns of the A1 vitellogenin gene reveals that these sequences are scattered within and around the four vitellogenin genes (A1, A2, B1 and B2) and the two albumin genes (74 kd and 68 kd). Three repetitive DNA elements present in the A1 vitellogenin transcriptional unit are also located in introns of the 74 kd albumin gene. This apparently random distribution of middle repetitive DNA in the two gene families suggests that the analyzed sequences are not involved in gene regulation, but rather that they might represent unstable genetic elements. This hypothesis is further supported by the finding that size polymorphism in the A1 vitellogenin gene and in the 74 kd albumin gene is correlated with the presence or absence of repetitive DNA.
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Abstract : The human body is composed of a huge number of cells acting together in a concerted manner. The current understanding is that proteins perform most of the necessary activities in keeping a cell alive. The DNA, on the other hand, stores the information on how to produce the different proteins in the genome. Regulating gene transcription is the first important step that can thus affect the life of a cell, modify its functions and its responses to the environment. Regulation is a complex operation that involves specialized proteins, the transcription factors. Transcription factors (TFs) can bind to DNA and activate the processes leading to the expression of genes into new proteins. Errors in this process may lead to diseases. In particular, some transcription factors have been associated with a lethal pathological state, commonly known as cancer, associated with uncontrolled cellular proliferation, invasiveness of healthy tissues and abnormal responses to stimuli. Understanding cancer-related regulatory programs is a difficult task, often involving several TFs interacting together and influencing each other's activity. This Thesis presents new computational methodologies to study gene regulation. In addition we present applications of our methods to the understanding of cancer-related regulatory programs. The understanding of transcriptional regulation is a major challenge. We address this difficult question combining computational approaches with large collections of heterogeneous experimental data. In detail, we design signal processing tools to recover transcription factors binding sites on the DNA from genome-wide surveys like chromatin immunoprecipitation assays on tiling arrays (ChIP-chip). We then use the localization about the binding of TFs to explain expression levels of regulated genes. In this way we identify a regulatory synergy between two TFs, the oncogene C-MYC and SP1. C-MYC and SP1 bind preferentially at promoters and when SP1 binds next to C-NIYC on the DNA, the nearby gene is strongly expressed. The association between the two TFs at promoters is reflected by the binding sites conservation across mammals, by the permissive underlying chromatin states 'it represents an important control mechanism involved in cellular proliferation, thereby involved in cancer. Secondly, we identify the characteristics of TF estrogen receptor alpha (hERa) target genes and we study the influence of hERa in regulating transcription. hERa, upon hormone estrogen signaling, binds to DNA to regulate transcription of its targets in concert with its co-factors. To overcome the scarce experimental data about the binding sites of other TFs that may interact with hERa, we conduct in silico analysis of the sequences underlying the ChIP sites using the collection of position weight matrices (PWMs) of hERa partners, TFs FOXA1 and SP1. We combine ChIP-chip and ChIP-paired-end-diTags (ChIP-pet) data about hERa binding on DNA with the sequence information to explain gene expression levels in a large collection of cancer tissue samples and also on studies about the response of cells to estrogen. We confirm that hERa binding sites are distributed anywhere on the genome. However, we distinguish between binding sites near promoters and binding sites along the transcripts. The first group shows weak binding of hERa and high occurrence of SP1 motifs, in particular near estrogen responsive genes. The second group shows strong binding of hERa and significant correlation between the number of binding sites along a gene and the strength of gene induction in presence of estrogen. Some binding sites of the second group also show presence of FOXA1, but the role of this TF still needs to be investigated. Different mechanisms have been proposed to explain hERa-mediated induction of gene expression. Our work supports the model of hERa activating gene expression from distal binding sites by interacting with promoter bound TFs, like SP1. hERa has been associated with survival rates of breast cancer patients, though explanatory models are still incomplete: this result is important to better understand how hERa can control gene expression. Thirdly, we address the difficult question of regulatory network inference. We tackle this problem analyzing time-series of biological measurements such as quantification of mRNA levels or protein concentrations. Our approach uses the well-established penalized linear regression models where we impose sparseness on the connectivity of the regulatory network. We extend this method enforcing the coherence of the regulatory dependencies: a TF must coherently behave as an activator, or a repressor on all its targets. This requirement is implemented as constraints on the signs of the regressed coefficients in the penalized linear regression model. Our approach is better at reconstructing meaningful biological networks than previous methods based on penalized regression. The method is tested on the DREAM2 challenge of reconstructing a five-genes/TFs regulatory network obtaining the best performance in the "undirected signed excitatory" category. Thus, these bioinformatics methods, which are reliable, interpretable and fast enough to cover large biological dataset, have enabled us to better understand gene regulation in humans.
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TLR4 (Toll-like receptor 4) is essential for sensing the endotoxin of Gram-negative bacteria. Mutations or deletion of the TLR4 gene in humans or mice have been associated with altered predisposition to or outcome of Gram-negative sepsis. In the present work, we studied the expression and regulation of the Tlr4 gene of mouse. In vivo, TLR4 levels were higher in macrophages compared with B, T or natural killer cells. High basal TLR4 promoter activity was observed in RAW 264.7, J774 and P388D1 macrophages transfected with a TLR4 promoter reporter vector. Analysis of truncated and mutated promoter constructs identified several positive [two Ets (E twenty-six) and one AP-1 (activator protein-1) sites] and negative (a GATA-like site and an octamer site) regulatory elements within 350 bp upstream of the transcriptional start site. The myeloid and B-cell-specific transcription factor PU.1 bound to the proximal Ets site. In contrast, none among PU.1, Ets-1, Ets-2 and Elk-1, but possibly one member of the ESE (epithelium-specific Ets) subfamily of Ets transcription factors, bound to the distal Ets site, which was indispensable for Tlr4 gene transcription. Endotoxin did not affect macrophage TLR4 promoter activity, but it decreased TLR4 steady-state mRNA levels by increasing the turnover of TLR4 transcripts. TLR4 expression was modestly altered by other pro- and anti-inflammatory stimuli, except for PMA plus ionomycin which strongly increased promoter activity and TLR4 mRNA levels. The mouse and human TLR4 genes were highly conserved. Yet, notable differences exist with respect to the elements implicated in gene regulation, which may account for species differences in terms of tissue expression and modulation by microbial and inflammatory stimuli.
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BACKGROUND: To understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by human estrogen receptor alpha (hERalpha), we combine extensive location and expression datasets with genomic sequence analysis. In particular, we study the influence of patterns of DNA occupancy by hERalpha on expression phenotypes. RESULTS: We find that strong ChIP-chip sites co-localize with strong hERalpha consensus sites and detect nucleotide bias near hERalpha sites. The localization of ChIP-chip sites relative to annotated genes shows that weak sites are enriched near transcription start sites, while stronger sites show no positional bias. Assessing the relationship between binding configurations and expression phenotypes, we find binding sites downstream of the transcription start site (TSS) to be equally good or better predictors of hERalpha-mediated expression as upstream sites. The study of FOX and SP1 cofactor sites near hERalpha ChIP sites shows that induced genes frequently have FOX or SP1 sites. Finally we integrate these multiple datasets to define a high confidence set of primary hERalpha target genes. CONCLUSION: Our results support the model of long-range interactions of hERalpha with the promoter-bound cofactor SP1 residing at the promoter of hERalpha target genes. FOX motifs co-occur with hERalpha motifs along responsive genes. Importantly we show that the spatial arrangement of sites near the start sites and within the full transcript is important in determining response to estrogen signaling.
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While genetic mutation is a hallmark of cancer, many cancers also acquire epigenetic alterations during tumorigenesis including aberrant DNA hypermethylation of tumor suppressors, as well as changes in chromatin modifications as caused by genetic mutations of the chromatin-modifying machinery. However, the extent of epigenetic alterations in cancer cells has not been fully characterized. Here, we describe complete methylome maps at single nucleotide resolution of a low-passage breast cancer cell line and primary human mammary epithelial cells. We find widespread DNA hypomethylation in the cancer cell, primarily at partially methylated domains (PMDs) in normal breast cells. Unexpectedly, genes within these regions are largely silenced in cancer cells. The loss of DNA methylation in these regions is accompanied by formation of repressive chromatin, with a significant fraction displaying allelic DNA methylation where one allele is DNA methylated while the other allele is occupied by histone modifications H3K9me3 or H3K27me3. Our results show a mutually exclusive relationship between DNA methylation and H3K9me3 or H3K27me3. These results suggest that global DNA hypomethylation in breast cancer is tightly linked to the formation of repressive chromatin domains and gene silencing, thus identifying a potential epigenetic pathway for gene regulation in cancer cells.
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Résumé Durant le développement embryonnaire, les cellules pigmentaires des mammifères se développent à partir de deux origines différentes : les melanocytes se développent à partir de la crête neurale alors que les cellules de la rétine pigmentaire (RP) ont une origine neuronale. Un grand nombre de gènes sont impliqués dans la pigmentation dont les gènes de la famille tyrosinase à savoir Tyr, Tyrp1 et Dct. Certaines études ont suggéré que les gènes de la pigmentation sont régulés de manière différentielle dans les mélanocytes et dans la RP. Dans ce travail, les gènes de la famille tyrosinase ont été étudiés comme modèle de la régulation des gènes de la pigmentation par des éléments régulateurs agissant à distance. II a été montré que le promoteur du gène Tyrp1pouvait induire l'expression d'un transgène uniquement dans la RP alors que ce gène est aussi exprimé dans les mélanocytes comme le montre le phénotype des souris mutantes pour Tyrp1. Ce résultat suggère que les éléments régulateurs du promoteur sont suffisants pour l'expression dans la RP mais pas pour l'expression dans les mélanocytes. J'ai donc cherché à identifier la séquence qui régule l'expression dans les mélanocytes. Un chromosome artificiel bactérien (CAB) contenant le gène Tyrp1 s'est avéré suffisant pour induire l'expression dans les mélanocytes, comme démontré par la correction du phénotype mutant. La séquence de ce CAB contient plusieurs régions très conservées qui pourraient représenter de nouveaux éléments régulateurs. Par la suite, j'ai focalisé mon analyse sur une séquence située à -I5 kb qui s'est révélée être un amplificateur spécifique aux mélanocytes comme démontré par des expériences de cultures cellulaire et de transgenèse. De plus, une analyse poussée de cet élément a révélé que le facteur de transcription Sox 10 représentait un transactivateur de cet amplificateur. Comme pour Tyrp1, la régulation du gène tyrosinase est contrôlée par différents éléments régulateurs dans les mélanocytes et la RP. Il a été montré que le promoteur de tyrosinase n'était pas suffisant pour une forte expression dans les mélanocytes et la RP. De plus, l'analyse de la région située en amont a révélé la présence d'un amplificateur nécessaire à l'expression dans les mélanocytes à la position -15 kb. Cet amplificateur n'est toutefois pas actif dans la RP mais agit comme un répresseur dans ces cellules. Ces résultats indiquent que certains éléments nécessaires à l'expression dans les deux types de cellules pigmentaires sont absents de ces constructions. Comme pour Tyrp1, j'ai en premier lieu démontré qu'un CAB était capable de corriger le phénotype albinique, puis ai inséré un gène reporter (lacZ) dans le CAB par recombinaison homologue et ai finalement analysé l'expression du reporter en transgenèse. Ces souris ont montré une expression forte du lacZ dans les mélanocytes et la RP, ce qui indique que le CAB contient les séquences régulatrices nécessaires à l'expression correcte de tyrosinase. Afin de localiser plus précisément les éléments régulateurs, j'ai ensuite généré des délétions dans le CAB et analysé l'expression du lacZ en transgenèse. La comparaison de séquences génomiques provenant de différentes espèces a permis par la suite d'identifier des régions représentant de nouveaux éléments régulateurs potentiels. En utilisant cette approche, j'ai identifié une région qui se comporte comme un amplificateur dans la RP et qui est nécessaire à l'expression de tyrosinase dans ce tissu. De plus, j'ai identifié les facteurs de transcription Mitf et Sox10 comme transactivateurs de l'amplificateur spécifique aux mélanocytes situé à -15 kb. L'identification et la caractérisation des ces éléments régulateurs des gènes tyrosinase et Tyrp1confirme donc que la régulation différentielle des gènes dans les mélanocytes et la RP est liée à des éléments régulateurs séparés. Summary Pigment cells of mammals originate from two different lineages: melanocytes arise from the neural crest, whereas cells of the retinal pigment epithelium (RPE) originate from the optic cup of the developing forebrain. A large set of genes are involved in pigmentation, including the members of the tyrosinase gene family, namely tyrosinase, Tyrp1 and Dct. Previous studies have suggested that pigmentation genes are differentially regulated in melanocytes and RPE. In this work, the tyrosinase gene family was used as a model for studying the involvement of distal regulatory elements in pigment cell-specific gene expression. The promoter of the Tyrp1 gene has been shown to drive detectable transgene expression only to the RPE, even though the gene is also expressed in melanocytes as evident from Tyrp1-mutant mice. This indicates that the regulatory elements responsible for Tyrp1 gene expression in the RPE are not sufficient for expression in melanocytes. I thus searched for a putative melanocyte-specific regulatory sequence and demonstrate that a bacterial artificial chromosome (BAC) containing the Tyrp1 gene and surrounding sequences is able to target transgenic expression to melanocytes and to rescue the Tyrp1 b (brown) phenotype. This BAC contains several highly conserved non-coding sequences that might represent novel regulatory elements. I further focused on a sequence located at -15 kb which I identified as amelanocyte-specific enhancer as shown by cell culture and transgenic mice. In addition, further functional analysis identified the transcription factor Sox10 as being able to bind and transactivate this enhancer. As for Tyrp1, tyrosinase gene regulation is mediated by different cis-regulatory elements in melanocytes and RPE. It was shown that the tyrosinase promoter was not sufficient to confer strong and specific expression in melanocytes and RPE. Moreover, analysis of tyrosinase upstream sequence, revealed the presence of a specific enhancer at position -15 kb which was necessary to confer strong expression in melanocytes. This enhancer element however failed to act as an enhancer in the RPE, but rather repressed expression. This indicates that some regulatory elements required for tyrosinase expression in both RPE and melanocytes are still missing from these constructs. As for Tyrp1, I first demonstrated that a BAC containing the Tyr gene is able to rescue the Tyr c (albino) phenotype in mice, then I inserted a lacZ reporter gene in the BAC by homologous recombination, and finally analysed the pattern of lacZ expression in transgenic mice. These mice showed strong lacZ expression in both RPE and melanocytes, indicating that the BAC contains the regulatory sequences required for proper tyrosinase expression. In order to localize more precisely these regulatory elements, I have then generated several deletions in the BAC and analysed lacZ expression in transgenic mice. Multi-species comparative genomic analysis then allowed identifying conserved sequences that potentially represent novel regulatory elements. Using this experimental approach, I identified a region that behaves as a RPE-specific enhancer and that is required for tyrosinase expression in the retina] pigment epithelium. In addition, I identified the transcription factors Mitf and Sox l0 as being transactivators of the melanocyte-specific enhancer located at -l5 kb. The identification and characterization of these tyrosinase and Tyrp1 distal regulatory element supports the idea that separate regulatory sequences mediate differential gene expression in melanocytes and RPE.
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RESUME La télomérase confère une durée de vie illimitée et est réactivée dans la plupart des cellules tumorales. Sa sous-unité catalytique hTERT est définie comme le facteur limitant pour son activation. De l'identification de facteurs liant la région régulatrice d'hTERT, au rôle de la méthylation de l'ADN et de la modification des histones, de nombreux modèles de régulation ont été suggérés. Cependant, aucun de ces modèles n'a pu expliquer l'inactivation de la télomérase dans la plupart des cellules somatiques et sa réactivation dans la majorité des cellules tumorales. De plus, les observations contradictoires entre le faible niveau d'expression d'ARN messager d'hTERT dans les cellules télomérase-positives et la très forte activité transcriptionnelle du promoteur d'hTERT en transfection restent incomprises. Dans cette étude, nous avons montré que la région proximale du gène hTERT (exon 1 et 2) était impliquée dans la répression de l'activité de son promoteur. Nous avons identifié le facteur CTCF comme étant un inhibiteur du promoteur d'hTERT, en se liant au niveau de son premier exon. La méthylation de l'exon 1 du gène hTERT, couramment observée dans les tumeurs mais pas dans les cellules normales, empêcherait la liaison de CTCF. L'étude du profil de méthylation du promoteur d'hTERT indique qu'une partie du promoteur reste déméthylée et qu'elle semble suffisante pour permettre une faible activité transcriptionnelle du gène hTERT. Ainsi, la méthylation particulière des régions régulatrices d'hTERT inhibe la liaison de CTCF tout en permettant une faible transcription du gène. Cependant, dans certaines cellules tumorales, le promoteur et la région proximale du gène hTERT ne sont pas méthylés. Dans les lignées cellulaires tumorales de tesitcules et d'ovaires, l'inhibition de CTCF est contrée par son paralogue BORIS, qui se lie aussi au niveau de l'exon 1 d'hTERT, mais permet ainsi l'activation du promoteur. L'étude de l'expression du gène BORIS montre qu'il est exclusivement exprimé dans les tissus normaux de testicules et d'ovaires jeunes, ainsi qu'à différents niveaux dans la plupart des tumeurs. Sa transcription est sous le contrôle de deux promoteurs. Le promoteur proximal est régulé par méthylation et un transcrit alternatif majoritaire, délété de l'exon 6, est trouvé lorsque ce promoteur est actif. Tous ces résultats conduisent à un modèle de régulation du gène hTERT qui tient compte du profil épigénétique du gène et qui permet d'expliquer le faible taux de transcription observé in vivo. De plus, l'expression de BORIS dans les cancers et son implication dans l'activation du gène hTERT pourrait permettre de comprendre les phénomènes de dérégulation épigénétique et d'immortalisation qui ont lieu durant la tumorigenèse. SUMMARY Telomerase confers an unlimited lifespan, and is reactivated in most tumor cells. The catalytic subunit of telomerase, hTERT, is defined as the limiting factor for telomerase activity. Between activators and repressors that bind to the hTERT 5' regulatory region, and the role of CpG methylation and histone acetylation, an abundance of regulatory models have been suggested. None of these models can explain the silence of telomerase in most somatic cells and its reactivation in tumor cells. Moreover, the contradictory observations of the low level of hTERT mRNA in telomerase-positive cells and the high transcriptional activity of the hTERT promoter in transfection experiments remain unresolved. In this study, we demonstrated that the proximal exonic region of the hTERT gene (exon 1 and 2) is involved in the inhibition of its promoter. We identified the protein CTCF as the inhibitor of the hTERT promoter, through its binding to the first exon. The methylation of the first exon region, which is often observed in cancer cells but not in noimal cells, represses CTCF binding. Study of hTERT promoter methylation shows a partial demethylation sufficient to activate the transcription of the hTERT gene. Therefore, we demonstrated that the particular methylation profile of the hTERT regulatory sequences inhibits the binding of CTCF, while it allows a low transcription of the gene. Nevertheless, in some tumor cells, the promoter and the proximal exonic region of hTERT are unmethylated. In testicular and ovarian cancer cell lines, CTCF inhibition is counteracted by its BORIS paralogue that also binds the hTERT first exon but allows the promoter activation. The study of BORIS gene regulation showed that this factor is exclusively expressed in normal tissue of testis and ovary of young woman, as well as in almost all tumors with different levels. Two promoters were found to induce its transcription. The proximal promoter was regulated by methylation. Moreover, a major alternative transcript, deleted of the exon 6, is detected when this promoter is active. All these results lead to a model for hTERT regulation that takes into account the epigenetic profile of the gene and provides an explanation for the low transcriptional level observed in vivo. BORIS expression in cancers and its implication in hTERT activation might also permit the understanding of epigenetic deregulation and immortalization phenomena that occur during tumorigenesis.
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Emerging as an important correlate of neurological dysfunction in Multiple Sclerosis (MS), extended focal and diffuse gray matter abnormalities have been found and linked to clinical manifestations such as seizures, fatigue and cognitive dysfunction. To investigate possible underlying mechanisms we analyzed the molecular alterations in histopathological normal appearing cortical gray matter (NAGM) in MS. By performing a differential gene expression analysis of NAGM of control and MS cases we identified reduced transcription of astrocyte specific genes involved in the astrocyte-neuron lactate shuttle (ANLS) and the glutamate-glutamine cycle (GGC). Additional quantitative immunohistochemical analysis demonstrating a CX43 loss in MS NAGM confirmed a crucial involvement of astrocytes and emphasizes their importance in MS pathogenesis. Concurrently, a Toll-like/IL-1β signaling expression signature was detected in MS NAGM, indicating that immune-related signaling might be responsible for the downregulation of ANLS and GGC gene expression in MS NAGM. Indeed, challenging astrocytes with immune stimuli such as IL-1β and LPS reduced their ANLS and GGC gene expression in vitro. The detected upregulation of IL1B in MS NAGM suggests inflammasome priming. For this reason, astrocyte cultures were treated with ATP and ATP/LPS as for inflammasome activation. This treatment led to a reduction of ANLS and GGC gene expression in a comparable manner. To investigate potential sources for ANLS and GGC downregulation in MS NAGM, we first performed an adjuvant-driven stimulation of the peripheral immune system in C57Bl/6 mice in vivo. This led to similar gene expression changes in spinal cord demonstrating that peripheral immune signals might be one source for astrocytic gene expression changes in the brain. IL1B upregulation in MS NAGM itself points to a possible endogenous signaling process leading to ANLS and GGC downregulation. This is supported by our findings that, among others, MS NAGM astrocytes express inflammasome components and that astrocytes are capable to release Il-1β in-vitro. Altogether, our data suggests that immune signaling of immune- and/or central nervous system origin drives alterations in astrocytic ANLS and GGC gene regulation in the MS NAGM. Such a mechanism might underlie cortical brain dysfunctions frequently encountered in MS patients.
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BACKGROUND: The bacterial flagellum is the most important organelle of motility in bacteria and plays a key role in many bacterial lifestyles, including virulence. The flagellum also provides a paradigm of how hierarchical gene regulation, intricate protein-protein interactions and controlled protein secretion can result in the assembly of a complex multi-protein structure tightly orchestrated in time and space. As if to stress its importance, plants and animals produce receptors specifically dedicated to the recognition of flagella. Aside from motility, the flagellum also moonlights as an adhesion and has been adapted by humans as a tool for peptide display. Flagellar sequence variation constitutes a marker with widespread potential uses for studies of population genetics and phylogeny of bacterial species. RESULTS: We sequenced the complete flagellin gene (flaA) in 18 different species and subspecies of Aeromonas. Sequences ranged in size from 870 (A. allosaccharophila) to 921 nucleotides (A. popoffii). The multiple alignment displayed 924 sites, 66 of which presented alignment gaps. The phylogenetic tree revealed the existence of two groups of species exhibiting different FlaA flagellins (FlaA1 and FlaA2). Maximum likelihood models of codon substitution were used to analyze flaA sequences. Likelihood ratio tests suggested a low variation in selective pressure among lineages, with an omega ratio of less than 1 indicating the presence of purifying selection in almost all cases. Only one site under potential diversifying selection was identified (isoleucine in position 179). However, 17 amino acid positions were inferred as sites that are likely to be under positive selection using the branch-site model. Ancestral reconstruction revealed that these 17 amino acids were among the amino acid changes detected in the ancestral sequence. CONCLUSION: The models applied to our set of sequences allowed us to determine the possible evolutionary pathway followed by the flaA gene in Aeromonas, suggesting that this gene have probably been evolving independently in the two groups of Aeromonas species since the divergence of a distant common ancestor after one or several episodes of positive selection. REVIEWERS: This article was reviewed by Alexey Kondrashov, John Logsdon and Olivier Tenaillon (nominated by Laurence D Hurst).