Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

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Des décennies d'études ont montré que la structure de la chromatine est étroitement liée aux processus métaboliques de l'ADN. Une bonne organisation des chromosomes tout au long du cycle cellulaire est particulièrement importante pour assurer le maintien de l'intégrité de l'ADN. Le but de mon projet de doctorat était de caractériser dans quelle mesure la réorganisation de la chromatine pendant le cycle cellulaire pourrait influencer la stabilité des chromosomes. Pour ce faire, nous avons d'abord effectué une étude complète de la réorganisation des chromosomes de la levure modèle Saccharomyces cerevisiae pendant tout un cycle cellulaire. Ce travail, en plus de récapituler les caractéristiques chromosomiques attendues, a conduit à la caractérisation de structures chromosomiques particulières, telle qu'une boucle d'ADN reliant l'ADNr et les centromères. Le rôle des complexes SMC et des microtubules a été étudié en profondeur. Une deuxième partie de mon travail a porté sur la description de l'organisation de la chromatine de cellules qui ont quitté le cycle cellulaire prolifératif et sont entrées en quiescence. Nous avons ainsi caractérisé le statut dense de l'hétérochromatine silencieuse dans des loci spécifiques tels que les télomères. Enfin, nous avons essayé de mieux comprendre l'interaction fonctionnelle entre la stabilité chromosomique et l'architecture 3D du génome durant la réplication en étudiant la stabilité génomique à des sites de pause de réplication. Nos résultats indiquent une adaptabilité frappante des structures de réplication sous différentes contraintes. Le travail futur vise à cartographier les réarrangements chromosomiques dépendants de la réplication. / Decades of studies showed that chromatin structure is tightly linked to DNA related metabolic processes, through the dynamic regulation of a myriad of molecular factors. The proper organization of chromosomes is notably important to ensure the maintenance of DNA integrity during cell cycle progression. Using the model S. cerevisiae, the aim of my PhD project was to characterize to which extent chromatin reorganization during the cell cycle may influence chromosome stability. To do so, we first generated a comprehensive genome-wide study of the reorganization of yeast’s chromosomes during an entire cell cycle. This work, besides recapitulating expected chromosomal features of the replication and mitotic stages, led to the characterization of peculiar chromosome structures such as a DNA loop bridging the rDNA and the centromeres. The role of structural maintenance of chromosomes (SMC) complexes and of microtubules were thoroughly investigated. A second part of my work focused on describing features of the chromatin organization of cells that exited the proliferative cell cycle and entered into quiescence. We characterized the dense status of silenced heterochromatin at specific loci, such as telomeres, in relation to the silent information regulators (SIRs). Finally, we tried to achieve a better understanding of the functional interplay between chromosome stability and the 3D genome architecture during replication, by investigating the genomic stability at replication pausing sites. Overall, our results point at a striking plasticity of replication structures to different stresses. Future work aims to map replication-dependent chromosomal rearrangements on the genomic maps.

本研究探討高通量染色體捕捉技術 (high-throughput chromosome conformation capture, Hi-C) 實驗所產生的關聯矩陣資料之正規化方法。已知該類實驗主要用來測量染色體之間的空間距離，正規化的目的是移除資料中的系統性偏差，本文主要針對基因特徵所造成之偏差。有別於Hu等人 (2012) 所提出的「局部基因特徵正規化法」(local genome feature normalization, LGF法)，我們所提出的「二次函數正規化法」(quadratic function normalization, QF法) 建立在更為一般化的二次對數模型與負二項分配假設上。本研究透過模擬實驗以及人類淋巴細胞資料 (GSE18199) 來評估QF法的表現，並且與其他方法比較。在模擬實驗中，我們發現當模型正確時，QF法能有效消除偏差。在實例中，當基因特徵偏差被消除後，則染色體之間的相對距離在重複實驗資料之間有更為一致的結果。另一方面，我們發現實驗所採用的限制酶影響關聯矩陣的結果，而且運用這些正規化方法並不能有效消除限制酶造成的偏差。 / Recently, the high-throughput chromosome conformation capture (Hi-C) experiment is developed to explore the three-dimensional structure of genomics. To assess the chromosomal interaction, a contact matrix is produced from a Hi-C experiment. Very often, systematic technical biases appear in the contact matrix and lead to inadequate conclusions. Consequently, data normalization to remove these biases is essential and necessary prior advanced inference. In this research, we propose the so-called quadratic function normalization method, which is a modification of the local genome feature normalization (Hu et al., 2012) by considering a more general model. Simulation studies are conducted to evaluate the proposed method. When the model assumption holds, the proposed method has adequate performance. Further, a Hi-C data set of a human lymphoblastoid cell GSE18199 is employed for a comparison of our method and two existing methods. It’s observed that normalization improves the reproducibility between experimental replicates. However, the effect of normalization is lean in eliminating the bias of restriction enzymes.

Over the last decade, development and application of a set of molecular genomic approaches based on the chromosome conformation capture method (3C), combined with increasingly powerful imaging approaches have enabled high resolution and genome-wide analysis of the spatial organization of chromosomes. The aim of this thesis is two-fold; 1), to provide guidelines for analyzing and interpreting data obtained from genome-wide 3C methods such as Hi-C and 3C-seq and 2), to leverage the 3C technology to solve genome function, structure, assembly, development and dosage problems across a broad range of organisms and disease models. First, through the introduction of cWorld, a toolkit for manipulating genome structure data, I accelerate the pace at which *C experiments can be performed, analyzed and biological insights inferred. Next I discuss a set of practical guidelines one should consider while planning an experiment to study the structure of the genome, a simple workflow for data processing unique to *C data and a set of considerations one should be aware of while attempting to gain insights from the data. Next, I apply these guidelines and leverage the cWorld toolkit in the context of two dosage compensation systems. The first is a worm condensin mutant which shows a reduction in dosage compensation in the hermaphrodite X chromosomes. The second is an allele-specific study consisting of genome wide Hi-C, RNA-Seq and ATAC-Seq which can measure the state of the active (Xa) and inactive (Xi) X chromosome. Finally I turn to studying specific gene – enhancer looping interactions across a panel of ENCODE cell-lines. These studies, when taken together, further our understanding of how genome structure relates to genome function.

Plusieurs indices suggèrent que le repliement du chromosome et la régulation de l’expression génétique sont étroitement liés. Par exemple, la co-expression d’un grand nombre de gènes est favorisée par leur rapprochement dans l’espace cellulaire. En outre, le repliement du chromosome permet de faire émerger des structures fonctionnelles. Celles-ci peuvent être des amas condensés et fibrillaires, interdisant l’accès à l’ADN, ou au contraire des configurations plus ouvertes de l’ADN avec quelques amas globulaires, comme c’est le cas avec les usines de transcription. Bien que dissemblables au premier abord, de telles structures sont rendues possibles par l’existence de protéines bivalentes, capable d’apparier des régions parfois très éloignées sur la séquence d’ADN. Le système physique ainsi constitué du chromosome et de protéines bivalentes peut être très complexe. C’est pourquoi les mécanismes régissant le repliement du chromosome sont restés majoritairement incompris.Nous avons étudié des modèles d’architecture du chromosome en utilisant le formalisme de la physique statistique. Notre point de départ est la représentation du chromosome sous la forme d’un polymère rigide, pouvant interagir avec une solution de protéines liantes. Les structures résultant de ces interactions ont été caractérisées à l’équilibre thermodynamique. De plus, nous avons utilisé des simulations de dynamique Brownienne en complément des méthodes théoriques, car elles permettent de prendre en considération une plus grande complexité dans les phénomènes biologiques étudiés.Les principaux aboutissements de cette thèse ont été : (i) de fournir un modèle pour l’existence des usines de transcriptions caractérisées in vivo à l’aide de microscopie par fluorescence ; (ii) de proposer une explication physique pour une conjecture portant sur un mécanisme de régulation de la transcription impliquant la formation de boucles d’ADN en tête d’épingle sous l’effet de la protéine H-NS, qui a été émise suite à l’observation de ces boucles au microscope à force atomique ; (iii) de proposer un modèle du chromosome qui reproduise les contacts mesurés à l’aide des techniques Hi-C. Les conséquences de ces mécanismes sur la régulation de la transcription ont été systématiquement discutées. / Increasing evidences suggest that chromosome folding and genetic expression are intimately connected. For example, the co-expression of a large number of genes can benefit from their spatial co-localization in the cellular space. Furthermore, functional structures can result from the particular folding of the chromosome. These can be rather compact bundle-like aggregates that prevent the access to DNA, or in contrast, open coil configurations with several (presumably) globular clusters like transcription factories. Such phenomena have in common to result from the binding of divalent proteins that can bridge regions sometimes far away on the DNA sequence. The physical system consisting of the chromosome interacting with divalent proteins can be very complex. As such, most of the mechanisms responsible for chromosome folding and for the formation of functional structures have remained elusive.Using methods from statistical physics, we investigated models of chromosome architecture. A common denominator of our approach has been to represent the chromosome as a polymer with bending rigidity and consider its interaction with a solution of DNA-binding proteins. Structures entailed by the binding of such proteins were then characterized at the thermodynamical equilibrium. Furthermore, we complemented theoretical results with Brownian dynamics simulations, allowing to reproduce more of the biological complexity.The main contributions of this thesis have been: (i) to provide a model for the existence of transcrip- tion factories characterized in vivo with fluorescence microscopy; (ii) to propose a physical basis for a conjectured regulatory mechanism of the transcription involving the formation of DNA hairpin loops by the H-NS protein as characterized with atomic-force microscopy experiments; (iii) to propose a physical model of the chromosome that reproduces contacts measured in chromosome conformation capture (CCC) experiments. Consequences on the regulation of transcription are discussed in each of these studies.

Au cours des dernières années, de nouvelles évidences semblent indiquer que, tout autant que sa séquence, l’organisation d’un génome dans l’espace et le temps est importante pour comprendre la fonction de celui-ci. Une des avancées fonda- mentales sur le sujet a été de présenter à l’échelle du génome la carte des inter- actions ADN-ADN. Ces interactions sont essentiellement de 2 types, soit entre chromosomes ou entre régions du même chromosome. Par la suite, la modélisa- tion a permis de visualiser et appréhender la structure tridimensionnelle (3D) du génome à partir des données 3C, ou d’une modélisation purement théorique. Une question importante et centrale demeure, soit de résoudre les mécanismes res- ponsables de l’organisation spatiale et fonctionnelle du génome. Notamment, une question est de savoir comment des processus nucléaires tels que la transcription affectent la structure du génome. Cependant, l’idée selon laquelle les données de types 3C capturent cette information dans la levure est remise en question par le fait que les modèles théoriques du génome récapitulent les caractéristiques mar- quantes soulignées par 3C. Pour répondre à cette question, nous avons conçu une approche qui, pour évaluer l’importance d’une interaction, se base sur la distri- bution d’interactions entre les 2 régions d’ADN mises en contacts. Nos résultats supportent l’hypothèse selon laquelle les éléments fonctionnels et propres aux données expérimentales de la structure 3D du génome se forment d’une manière spécifique à l’échelle de l’interaction et au type d’interactions. Par ailleurs, nos résultats indiquent qu’un grand nombre de facteurs de transcription induisent la proximité spatiale des gènes dont ils régulent l’expression. / Over the last decade, accumulating empirical evidence suggest that, as much as its sequence, a genome spatiotemporal organization is essential to understand it’s biological function. One of the major breakthroughs has been chromosome conformation capture (3C) experiments presenting DNA-DNA contact for whole genomes at unprecedented resolution (5-10kb). Along with genome-wide maps of DNA contacts came genome 3D modelling from experimental 3C data, and even from purely theoretical and biophysical basis. However, the mechanisms underlying the regulation of the genome spatial functional organization are still not well understood. Among other questions, how the regulation and event of nuclear processes such as transcription modulate genome structure or how genome structure affect these in turn is still not fully resolved. Moreover, computational models of S.cerevisae genome have recapitulated the hallmarks at larger scale of its 3D features. In order to contrast genome structural features arising from the event of biochemical and molecular activity, we have develop a method assessing the significance of structural features. The underlying principle is to consider for a given interaction, the two DNA regions put in contact and the distribution of existing interactions between these before assigning significance to the selected interaction. Using this method, we demonstrate that structural features resulting from potential biochemically active processes occur at precise scale on the genome. Our results also highlight that exact nature of the interaction (between vs across chromosomes) is crucial to such events. Finally, we have also found that a large portion of transcription factors have their targeted genes in spatial proximity.

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Following the discovery of the one-dimensional sequence of human DNA, much focus has been directed on microscopy and molecular techniques to learn about the spatial organization of chromatin in a 3D cell. The development of these powerful tools has enabled high-resolution, genome-wide analysis of chromosome structure under many different conditions. In this thesis, I focus on how the organization of interphase chromatin is established and maintained following mitosis. Mitotic chromosomes are folded into helical loop arrays creating short and condensed chromosomes, while interphase chromosomes are decondensed and folded into a number of structures at different length scales ranging from loops between CTCF sites, enhancers and promoters to topologically associating domains (TADs), and larger compartments. While the chromatin organization at these two very different states is well defined, the transition from a mitotic to interphase chromatin state is not well understood. The aim of this thesis is to determine how interphase chromatin is organized following mitotic chromosome decondensation and to interrogate factors potentially responsible for driving the transition. First, I determine the temporal order with which CTCF-loops, TADs, and compartments reform as cells exit mitosis, revealing a unique structure at the anaphase-telophase transition never observed before. Second, I test the role of transcription in reformation of 3D chromosome structure and show that active transcription is not required for the formation of most interphase chromatin features; instead, I propose that transcription relies on the proper formation of these structures. Finally, I show that RNA in the interphase nucleus can be degraded with only slight consequences on the overall chromatin organization, suggesting that once interphase chromatin structures are achieved, the structures are stable and RNA is only required to reduce the mixing of active and inactive compartments. Together, these studies further our understanding of how interphase structures form, how these structures relate to functional activities of the interphase cell, and the stability of chromatin structures over time.