C2H2-zinc fingers (ZFs) are commonly found in transcription factors that code for nearly 3% of gene products in the human genome. ZF proteins are commonly involved in gene regulation during development, cell differentiation, and tumor suppression. Each "finger" is a domain composed of approximately 30 amino acids. Since the discovery of these domains over 25 years ago, several groups have contributed to the structural and biochemical knowledge to understand their DNA-binding properties. Taking advantage of the simplicity of manipulating the DNA-binding potential of a ZF, the technology has now evolved to make sequence-specific Zinc Finger Nucleases (ZFNs), Artificial Transcription Factors (ATFs), Zinc Finger Recombinases, and DNA detection tools. ZFPs have been used for various applications, ranging from regulating genes by ZF-ATFs to manipulating genomes in diverse organisms. ZFNs have remarkably revolutionized the field of genome engineering. ZFN-modified T-cells have now advanced into human clinical trials for cell-based therapies as a treatment against HIV. Despite the advances in the ZFN technology, one of the challenges in the field is obtaining effective ZFNs using publicly available tools. The traditional method of synthesizing custom ZF arrays was using modular assembly (MA). In this method, preselected ZFs from publicly available one-finger archives can be assembled modularly to make long arrays. MA of ZFNs provides a rapid method to create proteins that can recognize a broad spectrum of DNA sequences. However, three- and four-finger arrays often fail to produce active nucleases. The low success rate of MA ZF arrays was attributed to the fact that they suffer from finger-finger incompatibility referred to as context-dependent effects. However, we hypothesized that the low affinity of MA arrays was the limiting factor. The work presented in this dissertation describes our efforts at addressing these fundamental methodological challenges. We developed the Extended Modular Assembly method that overcomes the limitations of both the previous Modular Assembly. We performed a systematic investigation of number and composition of modules on ZFN activity and analyzed ZFN specificity both in vitro and in vivo. Our current experiments apply the ZFNs produced by our method to study the role of genetic variation in human disease.

<p>In this thesis, a concept for a modular assembly direct drive permanent magnetgenerator is presented. The maximum forces that act on the different parts of thegenerator during normal operation have been calculated and used in solid mechanicsimulations in SolidWorks. The result is a rough first draft of a generator designwhere the stator has been divided into five modules and the rotor into six modules.This division is done in order to avoid symmetries in the generator that could lead toproblems with self-oscillation.The modulization of the stator brings about certain difficulties, both for the magneticcircuit and for the winding scheme. Different solutions for optimization of themagnetic circuit are analyzed from both a physical and a construction technicalperspective. A winding scheme is produced and the winding process tested in awinding dummy produced according to the conceptual generator design.</p>

In this thesis, a concept for a modular assembly direct drive permanent magnetgenerator is presented. The maximum forces that act on the different parts of thegenerator during normal operation have been calculated and used in solid mechanicsimulations in SolidWorks. The result is a rough first draft of a generator designwhere the stator has been divided into five modules and the rotor into six modules.This division is done in order to avoid symmetries in the generator that could lead toproblems with self-oscillation.The modulization of the stator brings about certain difficulties, both for the magneticcircuit and for the winding scheme. Different solutions for optimization of themagnetic circuit are analyzed from both a physical and a construction technicalperspective. A winding scheme is produced and the winding process tested in awinding dummy produced according to the conceptual generator design.

Yes / We present a decision-support framework for speeding up the ramp-up of modular assembly systems by learning from past experience. Bringing an assembly system to the expected level of productivity requires engineers performing mechanical adjustments and changes to the assembly process to improve the performance. This activity is time-consuming, knowledge-intensive and highly dependent on the skills of the engineers. Learning the ramp-up process has shown to be effective for making progress faster. Our approach consists of automatically capturing information about the changes made by an operator dealing with disturbances, relating them to the modular structure of the machine and evaluating the resulting system state by analysing sensor data. The feedback thus obtained on applied adaptations is used to derive recommendations in similar contexts. Recommendations are generated with a variant of the k-nearest neighbour algorithm through searching in a multidimensional space containing previous system states. Applications of the framework include knowledge transfer among operators and machines with overlapping structure and functionality. The application of our method in a case study is discussed. / Funded by the European Commission as part of the 7th Framework Program under the Grant agreement CP-FP 229208-2, FRAME project.

Zinc finger nucleases (ZFNs) induce double-strand DNA breaks at specific recognition sites. ZFNs can dramatically increase the efficiency of incorporating desired insertions, deletions, or substitutions in living cells. These tools have revolutionized the field of genome engineering in several model organisms and cell types including zebrafish, rats, and human pluripotent stem cells. There have been numerous advances in ZFN engineering and characterization strategies, some of which are detailed in this work. The central theme of this dissertation is improving the activity and specificity of engineered zinc finger nucleases with the ultimate goal of increasing the safety and efficacy of these tools for human therapy. As a first step, I undertook a large-scale effort to demonstrate that the modular assembly method of ZFN synthesis has a significantly higher failure rate than previously reported in the literature. This strongly suggested that engineering of ZFNs should better account for context-dependent effects among zinc fingers. The second advance reported in this dissertation is a method for biasing repair of zinc finger protein-induced DNA breaks toward homology-driven rather than error-prone repair in the presence of a donor template. Catalytically inactivating one monomer of a ZFN dimer results in a zinc finger nickase (ZFNickase) whose cleavage preference is directed at only one DNA strand. In human cell reporter assays, these ZFNickases exhibit a higher likelihood of repair by homology-driven processes, albeit with reduced absolute rates of correction. With further optimization, zinc finger nickases could provide a safer alternative to ZFNs in the context of gene correction therapies. Third, realizing there was no robust method for determining off-target cleavage sites of ZFNs in a genome-wide manner, I validated a collaborator’s novel in vitro selection system in human cells by identifying eight new potential off-target cleavage sites for a ZFN pair currently being used in clinical trials. Although it is unlikely these low-frequency mutations would be deleterious to patients, these results demonstrated that ZFNs induced more off-target effects than had been appreciated by previous work in the field. Collectively, the findings of this dissertation have contributed to more robust strategies for designing and evaluating ZFNs.

La RNase P est une endoribonucléase responsable de la maturation de l’extrémité 5’ des ARNt prématures. Holoenzyme très conservée, elle est constituée d’une composante ARN formant le noyau catalytique et d’une composante protéique dont le nombre de sous-unités est variable : une protéine chez les bactéries, 5 chez les archées et d’au moins 9 chez les eucaryotes. Les eucaryotes possèdent également une autre endoribonucléase, la RNase MRP dont la composition est proche de la RNase P tant au niveau ribonucléique que protéique mais avec une spécificité de substrat propre. Dans cette étude, nous proposons une méthode originale et spécifique pour purifier la RNase P et la RNase MRP de S. cerevisiae. Grâce à la microscopie électronique et au traitement d’images, nous avons déterminé la première structure de ces deux holoenzymes à une résolution d’environ 1.5 nm. Ces structures révèlent une architecture modulaire commune où les protéines stabilisent la composante ARN et contribuent à l’édification de cavités et de conduits. Les spécificités structurales sont localisées en des positions stratégiques pour l’identification et la coordination du substrat. / Ribonuclease P (RNase P) is an endoribonuclease that cleaves the 5'-leader sequence of pre-tRNAs. RNase P is conserved between all taxonomic kingdoms and consists of a catalytic RNA subunit and protein components of variable size, from one protein in bacteria to 5 proteins in archae and at least 9 proteins in eukaryotic cells. In addition to RNase P, eukaryotes possess the RNase MRP which has a related RNA core and shares 8 proteins subunits with RNase P but with its own substrate specificity. Here, we propose an original method to purify specifically RNase P and RNase MRP from S. cerevisiae. Using electron microscopy and image processing, we solved the first structure of these two holoenzymes at a resolution of about 1.5 nm. We showed that eukaryotic RNase P and RNase MRP have a modular architecture, where proteins stabilize the RNA fold and contribute to cavities, channels and chambers between the modules.Structural features are located at strategic positions for substrate recognition by shape and coordination of the cleaved-off sequence.