No / When cells change functions or activities (such as during differentiation, response to extracellular stimuli, or migration), gene expression undergoes large-scale reprogramming, in cell type- and function-specific manners. Large changes in gene regulation require changes in chromatin architecture, which involve recruitment of chromatin remodeling enzymes and epigenomic modification enzymes to specific genomic loci. Transcription factors must also be accurately assembled at these loci. SATB1 is a genome organizer protein that facilitates these processes, providing a nuclear architectural platform that anchors hundreds of genes, through its interaction with specific genomic sequences; this activity allows expression of all these genes to be regulated in parallel, and enables cells to thereby alter their function. We review and describe future perspectives on SATB1 function in higher-order chromatin structure and gene regulation, and its role in metastasis of breast cancer and other tumor types.

This dissertation aims to develop a latent variable modeling framework with which to analyze gene expression profiling data for computational dissection of molecular signatures and transcriptional modules. The first part of the dissertation is focused on extracting pure gene expression signals from tissue or cell mixtures. The main goal of gene expression profiling is to identify the pure signatures of different cell types (such as cancer cells, stromal cells and inflammatory cells) and estimate the concentration of each cell type. In order to accomplish this, a new blind source separation method is developed, namely, nonnegative partially independent component analysis (nPICA), for tissue heterogeneity correction (THC). The THC problem is formulated as a constrained optimization problem and solved with a learning algorithm based on geometrical and statistical principles. The second part of the dissertation sought to identify gene modules from gene expression data to uncover important biological processes in different types of cells. A new gene clustering approach, nonnegative independent component analysis (nICA), is developed for gene module identification. The nICA approach is completed with an information-theoretic procedure for input sample selection and a novel stability analysis approach for proper dimension estimation. Experimental results showed that the gene modules identified by the nICA approach appear to be significantly enriched in functional annotations in terms of gene ontology (GO) categories. The third part of the dissertation moves from gene module level down to DNA sequence level to identify gene regulatory programs by integrating gene expression data and protein-DNA binding data. A sparse hidden component model is first developed for this problem, taking into account a well-known biological principle, i.e., a gene is most likely regulated by a few regulators. This is followed by the development of a novel computational approach, motif-guided sparse decomposition (mSD), in order to integrate the binding information and gene expression data. These computational approaches are primarily developed for analyzing high-throughput gene expression profiling data. Nevertheless, the proposed methods should be able to be extended to analyze other types of high-throughput data for biomedical research. / Ph. D.

With the abundance of biological data, computational prediction of gene regulatory networks (GRNs) from gene expression data has become more feasible. Although incorporating other prior knowledge (PK), along with gene expression, greatly improves prediction accuracy, the accuracy remains low. PK in GRN inference can be categorized into noisy and curated. Several algorithms were proposed to incorporate noisy PK, but none address curated PK. Another challenge is that much of the PK is not stored in databases or not in a unified structured format to be accessible by inference algorithms. Moreover, no GRN inference method exists that supports post-prediction PK. This thesis addresses those limitations with three solutions: PEAK algorithm for integrating both curated and noisy PK, Online-PEAK for post-prediction interactive feedback, and DeTangle for visualization and navigation of GRNs. PEAK integrates both curated as well as noisy PK in GRN inference. We introduce a novel method for GRN inference, CurInf, to effectively integrate curated PK, and we use the previous method, Modified Elastic Net, for noisy PK, and we call it NoisInf. Using 100% curated PK, CurInf improves the AUPR accuracy score over NoisInf by 27.3% in synthetic data, 86.5% in E. coli data, and 31.1% in S. cerevisiae data. Moreover, we developed an online algorithm, online-PEAK, that enables the biologist to interact with the inference algorithm, PEAK, through a visual interface to add their domain experience about the structure of the GRN as a feedback to the system. We experimentally verified the ability of online-PEAK to achieve incremental accuracy when PK is added by the user, including true and false PK. Even when the noise in PK is 10 times more than true PK, online-PEAK performs better than inference without any PK. Finally, we present DeTangle, a Web server for interactive GRN prediction and visualization. DeTangle provides a seamless analysis of GRN starting from uploading gene expression, GRN inference, post-prediction feedback using online-PEAK, and visualization and navigation of the predicted GRN. More accurate prediction of GRN can facilitate studying complex molecular interactions, understanding diseases, and aiding drug design. / Ph. D. / Proteins are complex molecules that are responsible for most of the functionalities in living organisms. Proteins are produced from genes inside the cells. The production of proteins can be controlled by other proteins causing their production to increase or to decrease. This control is called gene regulation. Studying gene regulation between genes is important because it facilitates understanding diseases and aiding drug design. In this thesis, I developed computational methods, called PEAK and online-PEAK, to predict the interactions between genes using computer algorithms. My test results show that the method PEAK is more accurate than previous existing methods. I have also built a Web application, DeTangle, to help biologists use the algorithm and visualize the results.

No / Chromatin structure and spatial interactions between proximal and distal gene regulatory elements, including gene core promoters and enhancers, are important in the control of gene transcription. In this issue, Oh et al. characterized an AP-1-dependent enhancer at the epidermal differentiation complex locus that establishes spatial interactions with numerous gene promoter regions at that locus.

Demyelinating disorders affect many people around the globe and are characterized by loss of myelin sheaths and oligodendrocyte death, ultimately compromising neuronal signal transmission across the Central Nervous System (CNS). Adult Neural Stem Cells (NSC) are multipotent stem cells with the ability to differentiate into the three types of CNS cells: oligodendrocytes, neurons and astrocytes. Hydrogen peroxide (H2O2) is an inflammatory mediator, often present in demyelinating events, commonly associated with oxidative stress and cell death. However, H2O2 also plays a major role as an intracellular signaling molecule. It has been seen that NSC exposed to H2O2 revealed an increase in proliferation and oligodendrogenesis. In this project, we tried to understand how oligodendrogenesis is modulated at a transcriptional level by H2O2. We have identified the genes Hes1, Foxo1, Nrf2 and Prdx6 as being downregulated in the presence of H2O2 when compared to the non-exposed controls. In order to understand if the differential gene expression is involved in the H2O2-induced oligodendrogenesis, we silenced the genes through siRNA transfection (mimicking the downregulation observed after H2O2 exposure) and analyzed the effects on the transcriptome of NSCs and the impact on cell proliferation and differentiation. Our findings indicate that Foxo1 silencing induced the greatest increase in cell proliferation and that Nrf2 silencing revealed the greatest impact on oligodendrogenesis. While not very significant, Foxo1 silencing seems to induce oligodendrogenesis, and Prdx6 silencing seems to inhibit it. The results obtained give important hints on the role that these genes play in NSCs differentiation and fate determination when exposed to oxidative stress and might allow a better understanding of this complex system.

<p>The B3-domain transcription factor ABI3 is a major regulator of gene expression of seed maturation during Arabidopsis embryogenesis. The <i>napA</i> gene encodes for a <i>Brassica napus</i> 2S storage protein specifically expressed in the embryo during the early and mid-maturation phase (MAT program).The <i>napA</i> promoter contains two essential cis-sequences; the B-box, which functions as an Abscisic acid-responsive element (ABRE) and the RY/G cluster. ABI3 is known to target both these cis-sequences. Several bZIP factors expressed during seed maturation, bZIP12, bZIP38 and bZIP66, as well as a heterodimer of ABI5 and bZIP67, can bind the B-box ABRE in a yeast one-hybrid assay. Amongst them ABI3 and bZIP67 are able to activate synergistically the two cis-elements in a transient protoplast assay. We also show that bZIP67 interacts directly with ABI3 in a yeast two-hybrid assay. Therefore, we hypothesize that i)ABI3 is recruited indirectly to <i>napA</i> through molecular interaction with bZIP67 bound to the B-box ABRE, ii) ABI3 binds directly to the RY-element and interacts with bZIP67 targeted to the adjacent G-box found in the napA RY/G-cluster.</p><p>We also show that the RY/G cluster is responsible for repression of <i>napA</i> expression during the late maturation LEA program, and for repression of ABI3-mediated transactivation during germination. ABI3 from which the A1 activation domain had been removed, can bind to the <i>napA</i> RY-element in a yeast one-hybrid assay, in contrast to full-length ABI3, suggesting that ABI3 DNA-binding abilities are regulated by auto-inhibition. We propose that during late maturation ABI3 loses ability to bind RY, which results in repression of MAT genes but not of LEA genes that contain fewer RY-elements. In parallel, we show that the B3-domain VAL proteins bind to RY-elements and decrease ABI3-mediated transactivation of the <i>napA</i> RY/G and therefore act as active repressors maintaining silencing of MAT genes during vegetative growth.</p>

Krüppel-like factors (KLFs) are a family of transcription factors with 3 Cys2/His2 zinc fingers that regulate cell differentiation and developmental processes. EKLF is involved in primitive and definitive erythropoiesis; KLF2 is implicated in the development of primitive erythroid and endothelial cells of the vasculature. Using light and electron microscopy, the yolk sacs and dorsal aortae from EKLF/KLF2 double knockout (KO) E9.5 (embryonic day 9.5) were examined to determine whether these KLFs have compensatory functions in morphology of blood cells and vessels. EKLF/KLF2 double KO E9.5 erythroid, endothelial, and mesothelial cells had more severely abnormal morphology than WT and KLF2-/-. Flow cytometry and cytospins were used to determine maturational effects of single and EKLF/KLF2 double KO primitive erythroid cells double-labeled with anti-TER119 and anti-CD71. EKLF KO and EKLF/KLF2 double KO erythroid cells display defective erythroid maturation. EKLF and KLF2 have overlapping roles in the development of embryonic erythroid and endothelial cells.

In multicellular organism, bioenergetic metabolism is strictly regulated toward efficient generation of ATP. However, in certain situations, such as in limiting oxygen or in the rapidly proliferating system like growing juvenile or cancer cells, organisms apply the metabolic strategy that favors the production of biomass (e.g., nucleotides, amino acids, and lipids) over efficiency of ATP generation. The conserved estrogen-related receptors (ERRs) are master regulators in controlling metabolic homeostasis, and good candidates for mediating the metabolic transition induced by hypoxia and development. First, we investigate how dERR influences hypoxic adaptation in Drosophila melanogaster. We find that dERR is required for a competent hypoxic response alone, or together with hypoxia inducible factor (HIF), which is the main transcription factor modulating the hypoxic adaptation. We show that dERR binds to dHIFα and participates in the HIF-dependent transcriptional program in hypoxia. In addition, dERR acts in the absence of dHIFα in hypoxia and a significant portion of HIF-independent transcriptional responses can be attributed to dERR actions, including up-regulation of glycolytic transcripts. These results indicate that competent hypoxic responses arise from complex interactions between HIF-dependent and -independent mechanisms, and that dERR plays a central role in both of these programs. Secondly, we examine how dERR modulates metabolic transition toward the fatty acid oxidation at late L3 larva stage. We show that dERR is essential for the expression of an uncharacterized long-chain-fatty-acid acyl-CoA synthetase, CG4500, which is subject to induction by starvation. Furthermore, late L3 larvae of dERR mutants exhibit altered lipid profiles with elevated medium-chain and long-chain fatty acids. Together, with the previous finding that ERR directs an early switch toward glycolysis in the embryo, our studies indicate that ERR is a master regulator of programmed metabolic shifts through Drosophila development.

La perception de l’environnement extérieur est importante pour des interactions efficaces entre plantes et champignons. Chez les champignons filamenteux, l’information associée au pH extracellulaire est transmise via une voie de signalisation conservée et impliquant sept protéines. Parmi ces protéines, la protéine transmembranaire PalH est un récepteur présumé initier la réponse aux pH neutre ou alcalin. Le facteur de transcription PacC, présent sous forme inactive dans le cytoplasme de la cellule fongique, est clivé en réponse à l’activation de la voie, et migre dans le noyau où il active la transcription des « gènes alcalins » et réprime la transcription des « gènes acides ». Chez Magnaporthe grisea, un Ascomycète responsable de la principale maladie du riz, le rôle de cette voie dans la physiologie du champignon est encore inconnu. Les deux homologues des gènes PACC et PALH ont été identifiés. Dans le but d’analyser le rôle des deux protéines PacC et PalH chez M. grisea, la délétion de ces gènes a été réalisée. Plusieurs phénotypes ont été analysés chez les deux souches mutantes, notamment la croissance, la sporulation et le pouvoir infectieux. Ceci a permis d’étudier le rôle de la signalisation liée au pH extracellulaire dans le cycle de développement de M. grisea. De plus, une analyse du profil des gènes exprimés chez le mutant ΔpacC a été initiée. Les résultats obtenus indiquent que cette voie est importante pour l’adaptation du champignon à un environnement alcalin et qu’elle joue un rôle dans la pathogénicité du champignon / Perception of external environment is important for successful infection of plants by fungi. In these organisms, the information about extracellular pH is provided to the cell by a conserved signalling pathway that involves seven proteins. Among these proteins, the transmembrane protein PalH is the putative receptor which would initiate the pH response. The transcription factor PacC, existing in an inactive form in the fungus cell cytoplasm, is activated through proteolysis in response to the pathway activation, and migrates into the nucleus where it activates the « alkaline » genes transcription and represses that of the « acidic » genes. In Magnaporthe grisea , an ascomycete responsible for the main rice disease, the role of this pathway is still unknown. In this work, the PACC and PALH genes have been identified. In order to analyse the role of the two corresponding proteins PacC et PalH, the deletion of these two genes has then been performed. Several phenotypes were studied in the two mutant strains, including growth rate, conidiation and ability to infect host plants. This enabled the investigation of the involvement of the pH signalling pathway in the M. grisea development cycle. Furthermore, a gene expression profiling analysis of the ΔpacC mutant has been undertaken and revealed the multiple cellular responses to pH changes. Taken all together, the results collected in this work indicate that the pH signalling pathway is important for M. grisea's adaptation to an alkaline environment and that it plays a significant role in the fungus pathogenicity

During cell specification, temporal and spatially restricted gene expression programs are set up, forming different cell types and ultimately a multicellular organism. In this thesis, we have studied the molecular mechanisms by which sequence specific transcription factors and coactivators regulate RNA polymerase II (Pol II) transcription to establish specific gene expression programs and what epigenetic patterns that follows. We found that the transcription factor Dorsal is responsible for establishing discrete epigenetic patterns in the presumptive mesoderm, neuroectoderm and dorsal ectoderm, during early Drosophila embryo development. In addition, these different chromatin states can be linked to distinct modes of Pol II regulation. Our results provide novel insights into how gene regulatory networks form an epigenetic landscape and how their coordinated actions specify cell identity. CBP/p300 is a widely used co-activator and histone acetyltransferase (HAT) involved in transcriptional activation. We discovered that CBP occupies the genome preferentially together with Dorsal, and has a specific role during development in coordinating the dorsal-ventral axis of the Drosophila embryo. While CBP generally correlates with gene activation we also found CBP in H3K27me3 repressed chromatin. Previous studies have shown that CBP has an important role at transcriptional enhancers. We provide evidence that the regulatory role of CBP does not stop at enhancers, but is extended to many genomic regions. CBP binds to insulators and regulates their activity by acetylating histones to prevent spreading of H3K27me3. We further discovered that CBP has a direct regulatory role at promoters. Using a highly potent CBP inhibitor in combination with ChIP and PRO-seq we found that CBP regulates promoter proximal pausing of Pol II. CBP promotes Pol II recruitment to promoters via a direct interaction with TFIIB, and promotes transcriptional elongation by acetylating the first nucleosome. CBP is regulating Pol II activity of nearly all expressed genes, however, either recruitment or release of Pol II is the rate-limiting step affected by CBP. Taken together, these results reveal mechanistic insights into cell specification and transcriptional control during development. / <p>At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.</p><p> </p>