Adipogenesis and ectopic lipid accumulation during aging have a great impact on the aging process and the pathogenesis of chronic diseases with age. However, at present, information on the age-related molecular changes in lipid redistribution patterns and their potential nutritional interventions is sparse. We investigated the mechanism underlying age-related lipid redistribution and its modulation using 5-, 17-, and 24-month-old male Fischer 344 rats fed ad libitum (AL) or a 3-week-long CR (40% less than AL) diet. Results revealed that the activities of adipogenic transcription factors were decreased in the white adipose tissue (WAT) of aged AL rats. In contrast, the skeletal muscle of aged AL rats showed increased fat accumulation through decreased carnitine palmitoyltransferase-1 activity, which was blunted by short-term CR. This study suggests an age-related shift in lipid distribution by reducing the adipogenesis of WAT while increasing intramyocellular lipid accumulation, and that CR can modulate age-related adipogenesis and ectopic lipid accumulation.

Lipid synthesis is required for cell growth and is subject to pharmacologic regulation. Keratinocyte growth factor (KGF) stimulates proliferation and lipogenesis in H292 cells, a pulmonary epithelial cancer cell line, but the signaling pathways are not known. KGF stimulated the expression of the transcription factors sterol-regulatory element binding protein-1 (SREBP-1), CCAAT/enhancer binding protein α (C/EBPα), and C/EBPδ and two key enzymes involved in lipogenesis, FAS and stearoyl coenzyme A desaturase-1 (SCD-1). We found that KGF induced rapid activation of Akt, p70 S6K, JNK, and extracellular signal-regulated (ERK). Induction of SREBP-1, SCD-1, and FAS by KGF was inhibited by the JNK inhibitor SP600125 and the phosphatidylinositol 3-kinase (PI3K) inhibitor LY294002 but not by the ERK inhibitor PD98059. Using FAS and SCD-1-luciferase promoter constructs, we observed that KGF stimulated the transcription of these promoters and that exogenous cholesterol inhibited the induction. Mutation of the SREBP-1 binding site in the SCD-1 promoter abolished the effect of KGF on SCD-1 transcription. In addition, overexpression of active SREBP-1 directly stimulated SCD-1 and FAS. Conversely, adenovirus-mediated overexpression of a dominant negative form of SREBP-1 inhibited the KGF effect on FAS and SCD-1 expression. In summary, we conclude that KGF requires both PI3K and JNK signaling pathways to induce SREBP-1, which in turn induces SCD-1 and FAS expression in H292 cells.

Une part prépondérante de la régulation au niveau transcriptionnel passe par la modulation du taux d’initiation de la transcription. Chez les bactéries,l’initiation de la transcription implique la reconnaissance par le facteur sigma de l’ANR polymérase d’un motif de séquence particulier localisé approximativement10 bp en amont du site d’initiation de la transcription(TSS). Elle est modulée par la fixation de facteurs de transcription qui reconnaissent d’autres motifs à proximité. La technologie RNA-Seq donne accès au répertoire des TSS et des unités de transcriptions et offre donc des perspectives renouvelées pour s’attaquer au problème de l’identification des motifs de fixation des facteurs de transcription. Ce travail de thèse a visé à évaluer les outils existants et à développer de nouvelles méthodes pour la prédiction des sites de fixation des facteurs de transcription en combinant l’information des profils d’expression et des positions des TSS. Plusieurs approches fondées sur les modèles de matrices poids-position (PWM) vont être explorées pour étendre le modèle de mélange classiquement utilisé en relâchant l’hypothèse selon laquelle les motifs correspondants aux différents sites de fixations apparaissent indépendamment dans les différentes régions promotrices. Dans les nouveaux modèles, nous prendrons explicitement en compte une probabilité supérieure d’apparition d’un même motif dans des promoteurs dont les profils d’activité sont similaires. Une attention particulière sera aussi portée à la position du motif par rapport au TSS et au site de fixation du facteur sigma. En parallèle des développements méthodologiques nous travaillerons aussi sur l’utilisation de ces approches pour reconstruire le réseau des régulations transcriptionnelles chez L. monocytogenes en s’appuyant sur les données de la littérature et du projet List MAPS. Enfin,nous envisageons d’utiliser l’information sur le réseau de régulation pour étudier un point particulier qui serait pertinent. / This PhD project takes place in List MAPS, a Horizon 2020-funded Marie Curie Actions InnovativeTraining Network (ITN) with the goal of understandingof the ecology of Listeria monocytogenesthrough the combination of high throughput Epigenetics, Deep sequencing of transcripts, Proteomics, Bioinformatics, Mathematics and Microbiology. Acentralobjective of the ITN is to decipher the mechanismsunderlying adaptation and virulence of L. monocytogenes“from farm to fork”.This PhD project (subproject9) aims to tackle the task of transcription regulatorynetwork construction. A significant part of regulationat the transcriptional level is achieved by modulationof transcription initiation rate. In bacteria, transcriptioninitiation relies on recognition of particular sequencemotif by a Sigma-factor approximately 10 bpupstream of the transcription start site (TSS) and ismodulated by the binding of transcription factors recognizingother sequence motifs located nearby. RNASeqtranscriptomics provides direct information on therepertoire of TSSs and transcription units and therebyoffers renewed perspectives to address the problemof transcription factor binding sites identification. Thegoal of this PhD project is to assess existing toolsand to develop new methods for prediction of TF bindingsites by combining expression profiles and preciseinformation on the location of the TSSs. Severalapproaches based on position weight matrix (PWM)models will be investigated to extend the classicalmixture model by relaxing the hypothesis that motifscorresponding to different TF binding sites occur independentlybetween TSS regions.In the new model,we will explicitly account for the increased probabilityof occurrence of a same motif in two promoters whentheir profiles of activity across conditions are similar. A particular attention will also be paid to the positionof the motif with respect to the TSS and the sigmafactor binding site. In parallel to the methodologicaldevelopments we will also work on the use of theseapproaches to build the transcription regulatory networkof L. monocytogenes based on data form theliterature and from the List MAPS project. Finally, wewish to use the information on the regulatory networkto tackle a particular point relevant for the List MAPSproject using a dedicated model.

No description available.

No description available.

Over the last decade there has been a great effort to annotate noncoding regions of the genome, particularly those that regulate gene expression. These regulatory elements contain binding sites for transcription factors (TF), which interact with one another and transcriptional machinery to initiate, enhance, or repress gene expression. The Encyclopedia of DNA Elements (ENCODE) consortium has generated thousands of epigenomic datasets, such as DNase-seq and ChIP-seq experiments, with the goal of defining such regions. By integrating these assays, we developed the Registry of candidate Regulatory Elements (cREs), a collection of putative regulatory regions across human and mouse. In total, we identified over 1.3M human and 400k mouse cREs each annotated with cell-type specific signatures (e.g. promoter-like, enhancer-like) in over 400 human and 100 mouse biosamples. We then demonstrated the biological utility of these regions by analyzing cell type enrichments for genetic variants reported by genome wide association studies (GWAS). To search and visualize these cREs, we developed the online database SCREEN (search candidate regulatory elements by ENCODE). After defining cREs, we next sought to determine their potential gene targets. To compare target gene prediction methods, we developed a comprehensive benchmark of enhancer-gene links by curating ChIA-PET, Hi-C and eQTL datasets. We then used this benchmark to evaluate unsupervised linking approaches such as the correlation of epigenomic signal. We determined that these methods have low overall performance and do not outperform simply selecting the closest gene. We then developed a supervised Random Forest model which had notably better performance than unsupervised methods. We demonstrated that this model can be applied across cell types and can be used to predict target genes for GWAS associated variants. Finally, we used the registry of cREs to annotate variants associated with psychiatric disorders. We found that these "psych SNPs" are enriched in cREs active in brain tissue and likely target genes involved in neural development pathways. We also demonstrated that psych SNPs overlap binding sites for TFs involved in neural and immune pathways. Finally, by identifying psych SNPs with allele imbalance in chromatin accessibility, we highlighted specific cases of psych SNPs altering TF binding motifs resulting in the disruption of TF binding. Overall, we demonstrated our collection of putative regulatory regions, the Registry of cREs, can be used to understand the potential biological function of noncoding variation and develop hypotheses for future testing.

La régulation des gènes est à l’origine de la diversité cellulaire en permettant aux cellules de se différencier et de se spécialiser. La régulation génique repose largement sur l’existence de séquences d’ADN non codantes dans le génome, appelées "éléments cis-régulateurs", qui vont permettre de recruter de nombreux facteurs de transcription afin de former d’importants complexes (nucléo)protéiques qui vont agir sur le niveau de transcription des gènes. Ce recrutement est notamment contrôlé par des modifications épigénétiques. Le développement des techniques de séquençage et des méthodes d’analyse bioinformatiques permettent d’intégrer de grandes quantités de données pour étudier le fonctionnement des éléments régulateurs. Dans un premier temps, l’intégration de l’ensemble des données ChIP-seq disponibles dans les bases de données nous a permis de créer un catalogue d’éléments régulateurs putatifs chez l’Homme. L’analyse de ce catalogue nous a alors mené à caractériser ces éléments et à mettre en évidence la complexité combinatoire des facteurs de transcription. Dans un deuxième temps, nous avons réalisé une étude basée sur l’analyse des éléments régulateurs impliqués dans la différenciation précoce des lymphocytes T chez la souris. Cette étude a permis de mettre en évidence deux niveaux de complexité impliqués dans la régulation des gènes : le premier est basé sur la combinatoire des facteurs de transcription au sein des éléments régulateurs et le second repose sur la combinatoire des éléments eux-mêmes. Finalement, nous avons développé une nouvelle technique d’analyse quantitative et à haut débit de l’activité régulatrice de régions génomiques chez les mammifères. / Gene regulation is responsible for cell diversity by allowing cell differentiation and specialisation. Gene expression regulation relies mainly on the existence of non-coding DNA sequences in the genome, called "cis-regulatory elements", which recruit numerous transcription factors to form (nucleo)protein complexes which act on the gene transcription level. This recruitment is controlled in particular by epigenetic modifications. The rapid development of sequencing technologies and bioinformatics methods makes possible the integration of large amounts of data to study regulatory elements. First, the integration of ChIP-seq data for all transcription factors available in public databases has allowed us to create an extensive catalogue of putative regulatory elements in the human genome. The overall analysis of this catalogue led us to further characterize these elements and to highlight the high level of combinatorial complexity of transcription factors in the genome. Secondly, we conducted a more specific study based on the analysis of the regulatory elements involved in the early differentiation of T-cells in mice. This study provided an opportunity to highlight two levels of complexity based on regulatory elements and involved in gene regulation: the first rests on the transcription factor combinatorial in regulatory elements and the second is based on the combinatorial of elements themselves within loci. Finally, to validate experimentally the regulatory elements, we have developed a new quantitative and high-throughput technique to assess the regulatory activity of genomic regions in mammals.

No description available.

In dieser Dissertation wurde eine isolierte Brachydaktylie vom Typ E (BDE) untersucht. Grundlage war eine Familie mit autosomal-dominanten Erbgang BDE. Der genetische Hintergrund ist eine balancierte Translokation t(8;12)(q13;p11.2). Der Bruchpunkt auf derivativem Chromosom der(8) liegt 86 kb strangaufwärts des chondrogenetisch essentiellen Kandidatengens PTHLH (Parathyroid hormone like hormone). PTHLH ist für die Differenzierungsrate von proliferativen Chondrozyten verantwortlich. Positiv oder negativ reguliertes Pthlh führen zu einer Dysbalance mit Brachydaktylie-ähnlichen Phänotypen in murinen Tiermodellen. Der Leserahmen des Kaliumkanals KCNB2 auf Chromosom 8 wurde durch die Translokation in Intron 2 getrennt. Chrondrogenetische KCNB2 Funktionen konnten durch in situ Hybridisierungen ausgeschlossen werden. Der Translokationsbruchpunkt auf der(8) liegt in einer in Mammalia hochkonservierten Region und beeinhaltet ein Bindungsmotiv für AP1 Transkriptionsfaktoren. Durch die Translokation befindet sich in unmittelbarer Nähe eine Kernkonsensussequenz für ETS Transkriptionsfaktoren. AP1 und ETS Transkriptionsfaktoren interagieren und wurden auf eine potentielle PTHLH Regulation untersucht. Epigenetische Histonmodifizierungen, charakteristisch für cis-regulatorische Elemente, sowie Reportergenassays mit AP1 und ETS1 Bindungsmotiven zeigten einen Bezug zur PTHLH Regulation. Bindungsassays mit AP1 und ETS1 Transkriptionsfaktoren an den Bruchpunktsequenzen, sowie funktionelle in vitro Experimente mit Chondrozyten verifizierten die Hypothese, dass der Translokationsbruchpunkt strangaufwärts von PTHLH regulatorische Eigenschaften besitzt. Die AP1 und ETS1 Transkriptionsfaktoren regulierten PTHLH positiv in ATDC5 und C28/I2 Chondrozyten. In chondrogeninduzierten Patientenfibroblasten war die PTHLH Expression inhibiert. Die molekulare Pathogenese der BDE wurde durch die bisher unbekannte chondrogene PTHLH Fehlregulation dargestellt. / We studied a 3-generation family with Brachydactyly Type E (BDE) and identified a t(8;12)(q13;p11.2) translocation. We identified PTHLH (Parathyroid hormone like hormone) on chromosome 12p11.2 and the ionchannel KCNB2 on chromosome 8q13 as candidate genes. KCNB2 was disrupted in intron 2, while the chromosome 12 breakpoint is localized 86 kb upstream of PTHLH; only the latter gene is involved in chondrogenesis. The 12p11.2 breakpoint is conserved and features an AP1 binding site 86 kb upstream of PTHLH. Due to the translocation, an ETS binding site from 8q13 resided near the AP1 site. Since both transcription factors interact, we tested if AP1 and ETS1 can activate PTHLH in ATDC5 and C28/I2 chondrocytes. We used the breakpoint sequences of the derivative chromosomes 8 and 12 and the nonaffected chromosome 8 and 12 allele sequences in reporter-gene assays. Reporter-gene constructs containing the der(8) breakpoint revealed activation in murine and human chondrocytes. The enrichment of histone modifications, implicating cis-regulatory effects were investigated in the breakpoint area. We found the enriched histone H3K4me1 modification at the chromosome 12 breakpoint position in murine and human chondrocytes, while affected fibroblasts showed higher H3K4me1 enrichment at the der(8) breakpoint compared to wt(12) allele. Furthermore, the breakpoint sequence bound to AP1 and C-ets-1 in EMSA. Western blotting after PMA-stimulated AP1 and ETS1 activation and overexpression of different AP1 and ETS1 combinations showed activated PTHrP expression in chondrocytes. In chondrogenic induced BDE fibroblasts PTHLH was inhibited, while IHH was upregulated. We suggest that PTHLH was dysregulated by the translocation in BDE chondrocytes. This could lead to BDE. We highlight the impact to characterize genomic breakpoints in detail and demonstrate a novel AP1- and ETS1-directed chondrogenic PTHLH regulation in wild-type chondrocytes and dysregulation in the pathogenesis of BDE.

Understanding the functional impact of physical interactions between proteins and DNA on gene expression is important for developing approaches to correct disease-associated gene dysregulation. I conducted a systematic, functional genetic analysis of protein-DNA interactions in the promoter region of the yeast ribonucleotide reductase subunit gene RNR3. I measured the transcriptional impact of systematically perturbing the major transcriptional regulator, Crt1, and three X-box sites on the DNA known to physically bind Crt1. This analysis revealed interactions between two of the three X-boxes in the presence of Crt1, and unexpectedly, a significant functional role of the X-boxes in the absence of Crt1. Further analysis revealed Crt1- independent regulators of RNR3 that were impacted by X-box perturbation. Taken together, these results support the notion that higher-order X-box-mediated interactions are important for RNR3 transcription, and that the X-boxes have unexpected roles in the regulation of RNR3 transcription that extend beyond their interaction with Crt1.