The ParaHox cluster is the evolutionary sister of the Hox cluster. Like the Hox cluster, the ParaHox cluster is subject to complex regulatory phenomena such as collinearity. Despite the breakup of the ParaHox cluster within many animals, intact and collinear clusters have now been discovered within the chordate phyla in amphioxus and the vertebrates, and more recently within the hemichordates and echinoderms. The archetypal ParaHox cluster of amphioxus places it in a unique position in which to examine the regulatory mechanisms controlling ParaHox gene expression within the last common ancestor of chordates, and perhaps even the wider Deuterostomia. In this thesis, the genomic and regulatory landscape of the amphioxus ParaHox cluster is characterised in detail. New genomic and transcriptomic resources are used to better characterise the B.floridae ParaHox cluster and surrounding genomic region, and conserved non-coding regions and regulatory motifs are identified across the ParaHox cluster of three species of amphioxus. In conjunction with this, the impact of retrotransposition upon the ParaHox cluster is examined and analyses of transposable elements and the AmphiSCP1 retrogene reveal that the ParaHox cluster may be more insulated from outside influence than previously thought. Finally, the detailed analyses of a regulatory element upstream of AmphiGsx reveals conserved mechanisms regulating Gsx CNS expression within the chordates, and TCF/Lef is likely a direct regulator of AmphiGsx within the CNS. The work in this thesis makes use of new genomic and transcriptomic resources available for amphioxus to better characterise the genomic and regulatory landscape of the amphioxus ParaHox cluster, serving as a basis for the improved identification and characterisation of functional regulatory elements and conserved regulatory mechanisms. This work also highlights the potential of Ciona intestinalis as a ‘living test tube' to allow the detailed characterisation of amphioxus ParaHox regulatory elements.

A representação do Sistema de Regulação Gênica por meio de uma Rede de Regulação Gênica (GRN) pode facilitar a compreensão dos processos biológicos no nível molecular, auxiliando no entendimento do comportamento dos genes, a descoberta da causa de doenças e o desenvolvimento de novas drogas. Através das GRNs pode-se avaliar quais genes estão ativos e quais são suas influências no sistema. Nos últimos anos, vários métodos computacionais foram desenvolvidos para realizar a inferência de redes a partir de dados de expressão gênica. Esta pesquisa apresenta uma análise comparativa de métodos de inferência de GRNs, realizando uma revisão do modelo experimental descrito na literatura atual aplicados a conjuntos de dados contendo poucas amostras. Apresenta também o uso comitês de especialistas (ensemble) para agregar o resultado dos métodos a fim de melhorar a qualidade da inferência. Como resultado obteve-se que o uso de poucas amostras de dados (abaixo de 50) não fornecem resultados interessantes para a inferência de redes. Demonstrou-se também que o uso de comitês de especialistas melhoram os resultados de inferência. Os resultados desta pesquisa podem auxiliar em pesquisas futuras baseadas em GRNs. / The representation of the gene regulation system by means of a Gene Regulatory Network (GRN) can help the understanding of biological processes at the molecular level, elucidating the behavior of genes and leading to the discovery of disease causes and the development of new drugs. GRNs allow to evaluate which genes are active and how they influence the system. In recent years, many computational methods have been developed for networks inference from gene expression data. This study presents a comparative analysis of GRN inference methods, reviewing the experimental modeling present in the state-of-art scientific publications applied to datasets with small data samples. The use of ensembles was proposed to improve the quality of the network inference. As results, we show that the use of small data samples (less than 50 samples) do not show a good result in the network inference problem. We also show that the use of ensemble improve the network inference.

Na busca por soluções que maximizem a produção de etanol, o melhoramento genético de diferentes linhagens de levedura tornou-se foco de investigação em diversos centros de pesquisa. Com o recente sequenciamento de uma linhagem selvagem utilizada nas usinas sucroalcooleiras brasileiras, a linhagem PE-2 da espécie Saccharomyces cerevisiae, surgiu o interesse em estudar sua dinâmica durante o processo de fermentação a fim de encontrar aspectos que possam explicar como estas se tornaram mais adaptadas às dornas de fermentação mantendo a alta produtividade de bioetanol. A partir da análise transcricional da linhagem PE-2, Buscamos por métodos de inferência de redes que possam representar a dinâmica dessa levedura. Propomos nesse trabalho a modelagem de dados experimentais temporais das linhagens PE-2 e S288c (utilizada como referência) baseado em um modelo de Redes Booleanas. Trata-se de um modelo onde convertemos dados contínuos em dados discretos (0 or 1) no qual, de acordo com restrições ditadas pelo modelo, são inferidas redes que representem interações gênicas ao longo do tempo baseados nas amostras temporais. Conseguimos modelar, com sucesso, algumas redes utilizando conjuntos com 11 e 12 genes relacionados a genes pertencentes à via da glicólise e fermentação da levedura. / Ethanol production improvements give rise to the breeding of yeast strains, that became the investigation focus in several research centers. Recently, a wild strain used in Brazilian sugarcane industry was sequenced, the PE-2 strain of Saccharomyces cerevisiae, and this event brought an interest in studying the dynamics of the fermentation of this strain in order to understand which aspects this strain become more adapted to the fermentation conditions, maintaining a high capacity to produce bioethanol. From the analysis of transcriptional strain PE-2, we seek for inference networks methods that can represent the dynamics of this yeast.In this work, we model an experimental temporal data of strain PE-2 and strain S288c (used as a reference) based on Boolean networks model. In this model, the data are converted from continuous into discrete data (0 or 1) and, based on constraints rules of Boolean Network model, networks are inferred to represent gene interactions over time based on temporal data. We successfully model networks using a set with 11 and 12 genes related to yeast glycolysis and fermentation pathways.

Este trabalho teve como objetivo principal modelar a Rede de Regulação Gênica do organismo modelo Halobacterium salinarum NRC-1, estabelecendo interações entre as entidades da rede por intermédio de experimentos inéditos de interação física: ChIP- *, RIP-* e dRNA-seq. Em contraponto com as abordagens clássicas de construção de redes, que estimam interações através de medições de expressão gênica, este trabalho as estabeleceu exclusivamente de interações físicas, permitindo que a estrutura final seja uma representação mais fiel ao fenômeno físico de regulação gênica, baseando-se nos fundamentos da Biologia Sistêmica. Em vista da abundância de dados públicos de expressão gênica para o organismo e do objetivo primário, um objetivo secundário foi traçado: identificar, computacionalmente, genes de fato controlados pelas interações fornecidas pela nova rede. Para isso, a estrutura estabelecida foi transformada numa Rede Bayesiana, e a identificação de genes foi efetuada através da análise de suas Tabelas de Probabilidade Condicionais. Finalmente, como os resultados obtidos para o objetivo secundário foram desfavoráveis a utilização de Redes Bayesianas, os resultados efetivos deste trabalho foram a criação de uma nova Rede de Regulação Gênica para a H. salinarum e uma análise em torno da efetividade de Redes Bayesianas neste contexto. / The main goal of this work was modeling the gene regulatory network of the model organism Halobacterium salinarum NRC-1, establishing new interactions between networks entities through unpublished physical interaction experiments: ChIP-*, RIP-* e dRNA-seq. Instead of using classical approaches to build network structures that estimates interactions using gene expression data, this work established them exclusively from physical interactions. Therefore, the final structure is a more reliable representation of the physical phenomenon of gene expression, built using the principles of systems biology. Considering the amount of public available gene expression data and the primary goal, another objective was proposed: a computational analysis to detect genes actually controlled by the interactions of the new network. To achieve this goal the established network was transformed in a Bayesian network, detecting genes through the analysis of their conditional probability tables. Lastly, as the results of the secondary goal went against the use of Bayesian networks, the effective results of this thesis were the creation of a new genetic regulatory network for H. salinarum and an analysis around Bayesian networks in this context.

Inferring and anticipation of genetic networks based on experimental data and environmental measurements is a challenging research problem of mathematical modeling. In this thesis, we discuss gene-environment network models whose dynamics are represented by a class of time-continuous systems of ordinary differential equations containing unknown parameters to be optimized. Accordingly, time-discrete version of that model class is studied and improved by using different numerical methods. In this aspect, 3rd-order Heun&rsquo / s method and 4th-order classical Runge-Kutta method are newly introduced, iteration formulas are derived and corresponding matrix algebras are newly obtained. We use nonlinear mixed-integer programming for the parameter estimation and present the solution of a constrained and regularized given mixed-integer problem. By using this solution and applying the 3rd-order Heun&rsquo / s and 4th-order classical Runge-Kutta methods in the timediscretized model, we generate corresponding time-series of gene-expressions by this thesis. Two illustrative numerical examples are studied newly with an artificial data set and a realworld data set which expresses a real phenomenon. All the obtained approximate results are compared to see the goodness of the new schemes. Different step-size analysis and sensitivity tests are also investigated to obtain more accurate and stable predictions of time-series results for a better service in the real-world application areas. The presented time-continuous and time-discrete dynamical models are identified based on given data, and studied by means of an analytical theory and stability theories of rarefication, regularization and robustification.

<p>Embryonic development occurs with precisely timed morphogenetic cell movements directed by complex gene regulation. In this orchestrated series of events, some epithelial cells undergo extensive changes to become free moving mesenchymal cells. The transformation resulting in an epithelial cell becoming mesenchymal is called an epithelial to mesenchymal transition (EMT), a dramatic cell biological change that occurs throughout development, tissue repair, and disease. Extensive <italic>in vitro</italic> research has identified many EMT regulators. However, most <italic>in vitro</italic> studies often reduce the complicated phenotypic change to a binary choice between successful and failed EMT. Research utilizing models has generally been limited to a single aspect of EMT without considering the total transformation. Fully understanding EMT requires experiments that perturb the system via multiple channels and observe several individual components from the series of cellular changes, which together make a successful EMT.</p><p>In this study, we have taken a novel approach to understand how the sea urchin embryo coordinates an EMT. We use systems level methods to describe the dynamics of EMT by directly observing phenotypic changes created by shifting transcriptional network states over the course of primary mesenchyme cell (PMC) ingression, a classic example of developmental EMT. We systematically knocked down each transcription factor in the sea urchin's PMC gene regulatory network (GRN). In the first assay, one fluorescently labeled knockdown PMC precursor was transplanted onto an unperturbed host embryo and we observed the resulting phenotype <italic>in vivo</italic> from before ingression until two hours post ingression using time-lapse fluorescent microscopy. Movies were projected for computational analyses of several phenotypic changes relevant to EMT: apical constriction, apical basal polarity, motility, and de-adhesion. </p><p>A separate assay scored each transcription factor for its requirement in basement membrane invasion during EMT. Again, each transcription factor was knocked down one by one and embryos were immuno-stained for laminin, a major component of basement membrane, and scored on the presence or absence of a laminin hole at the presumptive entry site of ingression. </p><p>The measured results of both assays were subjected to rigorous unsupervised data analyses: principal component analysis, emergent self-organizing map data mining, and hierarchical clustering. This analytical approach objectively compared the various phenotypes that resulted from each knockdown. In most cases, perturbation of any one transcription factor resulted in a unique phenotype that shared characteristics with its upstream regulators and downstream targets. For example, Erg is a known regulator of both Hex and FoxN2/3 and all three shared a motility phenotype; additionally, Hex and Erg both regulated apical constriction but Hex additionally affected invasion and FoxN2/3 was the lone regulator of cell polarity. Measured phenotypic changes in conjunction with known GRN relationships were used to construct five unique subcircuits of the GRN that described how dynamic regulatory network states control five individual components of EMT: apical constriction, apical basal polarity, motility, de-adhesion, and invasion. The five subcircuits were built on top of the GRN and integrated existing fate specification control with the morphogenetic EMT control.</p><p>Early in the EMT study, we discovered one PMC gene, Erg, was alternatively spliced. We identified 22 splice variants of Erg that are expressed during ingression. Our Erg knockdown targeted the 5'UTR, present in all spliceoforms; therefore, the knockdown uniformly perturbed all native Erg transcripts (&#8721;Erg). Specific function was demonstrated for the two most abundant spliceoforms, Erg-0 and Erg-4, by knockdown of &#8721;Erg and mRNA rescue with a single spliceoform; the mRNA expression constructs contained no 5'UTR and were not affected by the knockdown. Different molecular phenotypes were observed, and both spliceoforms targeted Tbr, Tel, and FoxO, only Erg-0 targeted FoxN2/3 and only Erg-4 targeted Hex. Neither targeted Tgif, which was regulated by &#8721;Erg knockdown sans rescue. Our results suggest the embryo employs a minimum of three unique roles in the GRN for alternative splicing of Erg. </p><p>Overall, these experiments increase the completeness and descriptive power of the GRN with two additional levels of complexity. We uncovered five sub-circuits of EMT control, which integrated into the GRN provide a novel view of how a complex morphogenetic movement is controlled by the embryo. We also described a new functional role for alternative splicing in the GRN where the transcriptional targets for two splice variants of Erg are unique subsets of the total set of &#8721;Erg targets.</p> / Dissertation

The gastrula stage represents the point in development at which the three primary germ layers diverge. At this point the gene regulatory networks that specify the germ layers are established and the genes that define the differentiated states of the tissues have begun to be activated. These networks have been well characterized in sea urchins, but not in other echinoderms. Embryos of the brittle star Ophiocoma wendtii share a number of developmental features with sea urchin embryos, including the ingression of mesenchyme cells that give rise to an embryonic skeleton. Notable differences are that no micromeres are formed during cleavage divisions and no pigment cells are formed during development to the pluteus larva stage. More subtle changes in timing of developmental events also occur. To explore the molecular basis for the similarities and differences between these two echinoderms, the gastrula transcriptome of Ophiocoma wendtii was sequenced and characterized. I identified brittle star transcripts that correspond to 3385 genes in existing databases, including 1863 genes shared with the sea urchin Strongylocentrotus purpuratus gastrula transcriptome. I have characterized the functional classes of genes present in the transcriptome and compared them to those found in sea urchin. I then examined which members of the germ-layer specific gene regulatory networks (GRNs) of S. purpuratus are expressed in the O. wendtii gastrula. The results indicate that there is a shared "genetic toolkit" central to the echinoderm gastrula, a key stage in embryonic development, though there are also differences that reflect changes in developmental processes. The brittle star expresses genes representing all functional classes at the gastrula stage. Brittle stars and sea urchins have comparable numbers of each class of genes, and share many of the genes expressed at gastrula. Examination of the brittle star genes whose sea urchin orthologs are utilized in germ layer specification reveals a relatively higher level of conservation of key regulatory components compared to the overall transcriptome. I also identify genes that were either lost or whose temporal expression has diverged from that of sea urchins. Overall, the data suggest that embryonic skeleton formation in sea urchins and brittle stars represents convergent evolution by independent cooptation of a shared pathway utilized in adult skeleton formation. Transcription factors are of central importance to both development and evolution. Patterns of their expression and interactions form the gene regulatory networks which control the building of the embryonic body. Alterations in these patterns can result in the construction of altered bodies. To help increase understanding of this process, I compared the transcription factor mRNAs present in early gastrula-stage embryos of the brittle star Ophiocoma wendtii to those found in two species of sea urchins and a starfish. Brittle star homologs were found for one third of the transcription factors in the sea urchin genome and half of those that are expressed at equivalent developmental stages in sea urchins and starfish. Overall, the patterns of transcription factors found and not found in brittle star resemble those of other echinoderms, with the differences largely consistent with morphological differences. This study provides further evidence for the existence of deeply conserved developmental genetic processes, with various elements shared among echinoderms, deuterostomes, and metazoans.

<p>Gene regulatory networks (GRNs) provide a systems-level orchestration of an organism’s genome encoded anatomy. As biological networks are revealed, they continue to answer many questions including knowledge of how GRNs control morphogenetic movements and how GRNs evolve. Morphogenesis is a complex orchestration of movements by cells that are specified early in development. </p><p> The activation of an upstream GRN is crucial in order to orchestrate downstream morphogenetic events. In the sea urchin, activation of the endomesoderm GRN occurs after the asymmetric 4th cleavage. Embryonic asymmetric cell divisions often are accompanied by differential segregation of fate-determinants into one of two daughter cells. That asymmetric cleavage of the sea urchin micromeres leads to a differential animal-vegetal (A/V) nuclear accumulation of cell fate determinants, β-Catenin and SoxB1. Β-Catenin protein is localized into the nuclei of micromeres and activates the endomesoderm gene regulatory network, while SoxB1 is excluded from micromeres and enters the nucleus of the macromeres, the large progeny of the unequal 4th cleavage. Although nuclear localization of β-Catenin and SoxB1 shows dependence on the asymmetric cleavage, the mechanics behind the asymmetrical division has not been demonstrated. In Chapter 3, we show that micromere formation requires the small RhoGTPase, Cdc42 by directing the apical/basal orientation of the mitotic spindle at the apical cortex. By attenuating or augmenting sea urchin Cdc42 function, micromere divisions became defective and failed to correctly localize asymmetrically distributed determinants. As a consequence, cell fates were altered and multiple A/V axes were produced resulting in a “Siamese-twinning” phenotype that occurred with increasing frequency depending on the quantitative level of perturbation. Our findings show that Cdc42 plays a pivotal role in the asymmetric division of the micromeres, endomesoderm fate-determinant segregation, and A/V axis formation.</p><p> This dissertation also characterizes, at high resolution, the repertoire of cellular movements contributing to three different morphogenetic processes of sea urchin development: the elongation of gut, the formation of the primary mouth, and the migration of the small micromeres (the presumptive primordial germ cells) in the sea urchin, Lytechinus variegatus. Descriptive studies of the cellular processes during the different morphogenetic movements allow us to begin investigating their molecular control. </p><p>In Chapter 4, we dissected the series of complex events that coordinate gut and mouth morphogenesis. Until now, it was thought that lateral rearrangement of endoderm cells by convergent extension was the main contributor to sea urchin archenteron elongation and that cell divisions were minimal during elongation. We performed cell transplantations to live image and analyze a subset of labeled endoderm cells at high-resolution in the optically clear sea urchin embryo. We found that the endomesoderm cells that initially invaginate into the sea urchin blastocoel remained contiguous throughout extension, so that, if convergent extension were present, it was not a major contributor to elongation. We also found a prevalence of cell divisions throughout archenteron elongation that increased the number of cells within the gut linearly over time; however, we showed that the proliferation did not contribute to growth, and their spindle orientations were randomized during divisions and therefore did not selectively contribute to the final gut length. When cell divisions were inhibited, we saw no difference in the ability of the cells within the gut to migrate in order to elongate. Also in Chapter 4, we describe our observations of the cell biological processes underlying primary mouth formation at the end of gastrulation. Using time-lapse microscopy, photo-convertible Kaede, and an assay of the basement membrane remodeling, we describe a sequential orchestration of events that leads to the fusion of the oral ectoderm and the foregut endoderm. Our work characterizes, at higher resolution than previously recorded, the temporal sequence and repertoire of the cellular movements contributing to the length of the sea urchin larval gut and tissue fusion with the larval primary mouth.</p><p> In Chapter 5, the migration of the small micromeres to the coelomic pouches in the sea urchin embryo provides an exceptional model for understanding the genomic regulatory control of morphogenesis. An assay using the robust homing potential of these cells reveals a “coherent feed-forward” transcriptional subcircuit composed of Pax6, Six3, Eya, and Dach1 that is responsible for the directed homing mechanism of these multipotent progenitors. The linkages of that circuit are strikingly similar to a circuit involved in retinal specification in Drosophila suggesting that systems-level tasks can be highly conserved even though the tasks drive unrelated processes in different animals.</p><p> The sea urchin gene regulatory network (GRN) describes the cell fate specification of the developing embryo; however, the GRN does not describe specific cell biological events driving the three distinct sequences of cell movements. Our ability to connect the GRN to the morphogenetic events of gastrulation, primary mouth formation, and small micromere migration will provide a framework for characterizing these remarkable sequences of cell movements in the simplest of deuterostome models at an unprecedented scale.</p> / Dissertation

The objective of the field of Synthetic Biology is to implement novel functionalities in a biological context or redesign existing biological systems. To achieve this, it employs tried and tested engineering principles, such as standardisation and the design-build-test cycle. A crucial part of this process is the convergence of modelling and experiment. The aim of this thesis is to improve the design principles employed by Synthetic Biology in the context of Gene Regulatory Networks (GRNs). Small Ribonucleic Acids (sRNAs), in particular, are focussed on as a mechanism for post-transcriptional expression regulation, as they present great potential as a tool to be harnessed in GRNs. Modelling sRNA regulation and its interaction with its associated chaperone Host-Factor of Bacteriophage Q&beta; (Hfq) is investigated. Inclusion of Hfq is found to be necessary in stochastic models, but not in deterministic models. Secondly, feedback is core to the thesis, as it presents a means to scale-up designed systems. A linear design framework for GRNs is then presented, focussing on Transcription Factor (TF) interactions. Such frameworks are powerful as they facilitate the design of feedback. The framework supplies a block diagram methodology for visualisation and analysis of the designed circuit. In this context, phase lead and lag controllers, well-known in the context of Control Engineering, are presented as genetic motifs. A design example, employing the genetic phase lag controller, is then presented, demonstrating how the developed framework can be used to design a genetic circuit. The framework is then extended to include sRNA regulation. Four GRNs, demonstrating the simplest forms of genetic feedback, are then modelled and implemented. The feedback occurs at three different levels: autoregulation, through an sRNA and through another TF. The models of these GRNs are inspired by the implemented biological topologies, focussing on steady state behaviour and various setups. Both deterministic and stochastic models are studied. Dynamic responses of the circuits are also briefly compared. Data is presented, showing good qualitative agreement between models and experiment. Both culture level data and cell population data is presented. The latter of these is particularly useful as the moments of the distributions can be calculated and compared to results from stochastic simulation. The fit of a deterministic model to data is attempted, which results in a suggested extension of the model. The conclusion summarises the thesis, stating that modelling and experiment are in good qualitative agreement. The required next step is to be able to predict behaviour quantitatively.

O presente trabalho aborda a cooperação regulatória internacional na área financeira a partir de uma perspectiva de direito internacional público. Destacando a crescente interdependência entre os sistemas financeiros nacionais e a consequente insuficiência de respostas regulatórias isoladas, circunscritas às fronteiras políticas dos países, examina os esforços conjuntos de governos e autoridades de regulação para a contenção do risco sistêmico internacional e a prevenção de crises financeiras. Para tanto, descreve inicialmente o processo histórico de internacionalização da atividade financeira e a formação de um consenso – especialmente após a recente crise financeira mundial – sobre a necessidade de fortalecimento da cooperação regulatória na área. Investiga, a seguir, as principais características das redes regulatórias transgovernamentais que, nas últimas décadas, têm ocupado o centro dos esforços de cooperação internacional no campo da regulação financeira, em especial o caráter subestatal dos seus principais atores, a informalidade que tem marcado as suas ações e uma crescente preocupação com a legitimidade procedimental. Na última parte, o trabalho centra a sua análise nos instrumentos e alcance da cooperação regulatória, abordando o uso de soft law na formulação de recomendações e padrões (standards) internacionais, sua absorção regulatória no ordenamento jurídico brasileiro e a reforma que vem sendo realizada na arquitetura financeira mundial como reação à crise financeira global, com suas implicações para o futuro da cooperação internacional. / This study addresses international financial regulatory cooperation in a public international law perspective. It explores the combined efforts of national governments and domestic regulatory authorities to contain international systemic risk and prevent financial crises, as national financial systems became more interdependent and internal regulatory responses – conducted within and limited to national borders – have proved to be insufficient or ineffective. Describing the historical process that culminated with the internationalization of financial activity, this study points out the international consensus that was built, after the global financial crisis, on the need of strengthening regulatory cooperation. It assesses the main characteristics of transgovernmental regulatory networks that have been in the center of international financial regulation in the past three decades, analyzing its distinctive feature of being comprised of substate actors, the consequences of networks informality to international law and its growing concern with legitimacy. Attention is also drawn to the soft law regime and international standard setting process that marks regulatory cooperation in financial matters, in special to the regulatory influence exerted by international financial standards on the Brazilian legal system, the current reform of the international financial architecture after the global crisis and its implications to the future of international regulatory cooperation.