Universität Stuttgart
Permanent URI for this communityhttps://elib.uni-stuttgart.de/handle/11682/1
Browse
22 results
Search Results
Item Open Access Studien zur biotechnologischen Anwendung und ökologischen Funktion von Pyrrolochinolinchinon(PQQ)-abhängigen Alkoholdehydrogenasen(2021) Wehrmann, Matthias; Hauer, Bernhard (Prof. Dr.)Item Open Access Lokalisation, Speicherung und Synthese von Polyphosphat in Agrobacterium tumefaciens C58(2021) Hellenbroich, Celina; Jendrossek, Dieter (apl. Prof. Dr. rer. nat.)Polyphosphat (PolyP) besitzt eine ubiquitäre Verbreitung und erfüllt, je nach Organismus, unterschiedliche und extrem vielfältige Aufgaben. In Prokaryonten liegt PolyP in sogenannten Granula vor, während in einzelligen Eukaryonten, eine Membran das PolyP von dem Cytoplasma abtrennt. Vorangegangene Arbeiten weisen darauf hin, dass sogenannte Acidocalcisomen, eben jene membranumschlossene PolyP-Speicher aus Eukaryonten, auch in dem Bodenbakterium Agrobacterium tumefaciens vorhanden sein könnten. Die vorliegende Arbeit zeigt jedoch, dass sich in A. tumefaciens, wie in Bakterien übliche, PolyP-Granula befinden, die nicht von einer Membran umschlossen sind. Im weiteren Verlauf wurde die Synthese von PolyP sowie die Lokalisation der Polyphosphatkinasen (PPKs) und anderer aus der Literatur bekannter, PolyP-assoziierter Proteine untersucht. Die PPK1At stellte sich hierbei als PolyP-Syntheseenzym heraus. Es folgte eine biochemische Charakterisierung der PPKs in vitro, bei der für die PPK2At, neben der Bildung von NDP und NTP, eine oligophosphorylierende Funktion bis hin zu nonaphosphorylierten Nukleosiden entdeckt wurde. Außerdem stellte sich heraus, dass das PolyP-Granulum während des Zellzyklus wanderte und vielleicht durch die PPK1At mit der DNA assoziiert sein könnte. Aufgrund dieser Erkenntnisse konnte ein Modell des PolyP-Granulums und den in dieser Arbeit identifizierten, assoziierten Proteinen erstellt werden. Eine Deletion der ppk1 hatte zudem Auswirkungen auf die Zellmorphologie, die Infektionsrate von Pflanzenzellen und die Generationszeit von A. tumefaciens.Item Open Access Construction of robust Escherichia coli strains for large-scale production(2022) Ziegler, Martin; Takors, Ralf (Prof. Dr.-Ing.)The biotechnical production of many fine chemicals, proteins or pharmaceuticals depends on large-scale microbial cultivations. Due to limited mixing, heterogeneities in process relevant parameters such as nutrient concentrations arise in such fermentations. Escherichia coli (E. coli) is a model organism frequently used in the biotechnological industry. If E. coli is cultivated under heterogeneous conditions, biological reactions of the microorganism result in reduced process performance. Since large-scale fermentations are not economically feasible in academic settings, scale-down reactors that mimic aforementioned heterogeneities are used to investigate heterogenous fermentations. Previous studies in scale-down reactors unraveled that, depending on the process strategy, the unstable supply of a limiting primary carbon or nitrogen source such as glucose or ammonium is one of the underlying causes of process performance loss. Low concentrations of glucose or ammonium elicit the stringent response as a biological starvation reaction which comprises extensive transcriptional reactions. In the first project that contributes to this thesis, the regulatory and transcriptional reactions of the strains E. coli MG1655 and E. coli SR to repeated exposure to ammonium starvation zones were examined in a scale-down reactor. The scale-down reactor followed a two-compartment approach and consisted of a stirred tank reactor and a plug-flow reactor simulating passage through a starvation zone. E. coli SR is a strain with modulated stringent response. It was observed that short-term starvation stimuli do not trigger this regulatory program in E. coli SR and the transcriptional reaction was noticeably reduced. Long-term adaptation of the strain to repeated cycles of limitation and starvation also clearly differed from E. coli MG1655. Despite lack of the stringent response, E. coli SR showed no deficits in the assimilation of the limiting ammonium or in biomass yield on ammonium. In the second project of this thesis, a series of deletion strains with robust phenotype against glucose starvation zones were constructed. Candidate genes were identified and successively removed from the genome of E. coli MG1655 by Recombineering. The fundamental growth parameters of the strains were determined in shaking flask fermentations and no noticeable differences compared to E. coli MG1655 were found. Chemostat cultivations in a scale-down reactor with glucose as the limiting nutrient source revealed that the final strain of the deletion series, E. coli RM214, had a significantly lower maintenance coefficient under heterogeneous conditions than E. coli MG1655. Moreover, in an exemplary heterologous protein productionscenario E. coli RM214 rhaB- pJOE4056.2_tetA proved to be more robust to heterogeneities and showed a significantly higher product yield than E. coli MG1655 rhaB- pJOE4056.2_tetA. In the third project of this thesis, the production of pyruvate in E. coli MG1655 by inhibition of pyruvate dehydrogenase through CRISPR interference was investigated. A central goal was to achieve the stable production in nitrogen-limited conditions. For this, different target sequences in the operon pdhR-aceEF-lpd were tested and the strains cultivated in shaking flask fermentations. All tested target sequences were generally suitable to trigger the accumulation of pyruvate. Combined CRISPR interference against two target sequences did not lead to an increased pyruvate yield in most cases. In addition, the strains E. coli MG1655 pdCas9 psgRNA_aceE_234 and E. coli MG1655 pdCas9 psgRNA_aceE_234_pdhR_329 were characterized in two phase fermentations in lab-scale reactors. The initial phase was an unlimited exponential growth phase and was followed by an ammonium-limited production phase. E. coli MG1655 pdCas9 psgRNA_aceE_234 only produced pyruvate during the exponential phase, and reuptake of pyruvate occurred in the second phase. In contrast, E. coli MG1655 pdCas9 psgRNA_aceE_234_pdhR_329 stably produced pyruvate during the exponential and the ammonium-limited phase and is a potential chassis strain for the growth-decoupled production of pyruvate derived bioproducts. The overarching research issues of the projects were the characterization of strains in heterogeneous conditions and the development of new strategies to improve their performance. The collected data leads me to conclude that the construction of robust microbial strains for large-scale applications is both expedient and feasible. Tailored genetic modifications are the method of choice to achieve this goal. Furthermore, suitable genetic constructs offer promising possibilities for the stable growth-decoupled production of chemicals in nitrogen-limited conditions.Item Open Access Oleathydratase katalysierte stereoselektive Hydratisierungsreaktionen kurzkettiger Alkene(2025) Härterich, Natalie; Hauer, Bernhard (Prof. Dr.)Item Open Access Investigation of the impact of different scale-up dependent stimuli on metabolism and population heterogeneity in Corynebacterium glutamicum(2024) Eilingsfeld, Adrian; Takors, Ralf (Prof. Dr.-Ing.)This thesis investigates the impact of elevated carbon dioxide levels on population heterogeneity in Corynebacterium glutamicum, a widely used industrial production host. Through a series of experiments involving cultivation at varying CO2 partial pressures, flow cytometry, and analysis of DNA content, the research reveals that increased CO2 exerts significant selection pressure, affecting growth rates and cell aggregation tendencies. Key findings indicate that higher growth rates speed up DNA replication levels, while elevated CO2 levels slow them down. The results contribute to understanding how CO2 influences population dynamics, providing insights for optimizing industrial bioprocesses and support Corynebacterium glutamicum as a robust production strain.Item Open Access Numerische Simulationen von bioinspirierten und natürlichen Materialien(2021) Schäfer, Immanuel; Schmauder, Siegfried (Prof. Dr. rer. nat. Dr. h. c.)Die Arbeit befasst sich mit Finite-Elemente-Simulationen und Modellierungen von natürlichen und bioinspirierten Materialien. Die bioinspirierten Materialien sind künstliche Materialien, die ein oder mehrere Prinzipien der biologischen Vorbilder erfolgreich umgesetzt haben. Die natürlichen Materialien sind biologischen Ursprungs. Zu Beginn benötigt man immer eine funktionelle Analyse des Systems, um dann die notwendigen Reduzierungen für die Modellierungen herstellen zu können. Wenn das Modell steht, werden Eigenschaften wie zum Beispiel die Dämpfung oder der Widerstand gegen eine lineare Krafteinwirkung in Finite-Elemente-Simulationen analysiert. Die daraus gewonnenen Ergebnisse werden zur Beurteilung des Versagenverhaltens (z. B. des natürlichen Materials) oder zur Erklärung der Eigenschaften des bioinspirierten Materials genutzt. Die vorliegende Arbeit ist in die Analyse und die Diskussion der Ergebnisse verschiedener Materialien in neun Veröffentlichungen unterteilt. Zu Beginn werden die Ergebnisse des ersten bionischen Projektes präsentiert sowie die Lichtaufnahme, Lichtleitung- und Lichtverarbeitungsmöglichkeiten einer sukkulenten Art, der Fensterpflanze diskutiert. Die Perlmuttschale einer Schnecke bzw. ihr bioinspiriertes Produkt ist das Thema der anschließend vorgestellten Arbeiten. Daraus hervor ging auch die Veröffentlichung zu Enzymen und deren Bindungsaffinitäten zu Zinkoxid. Die Schale der Pomelo, die die kiloschwere Frucht beim Herunterfallen von den ca. 15 m hohen Bäumen vor Beschädigungen schützt, ist das Vorbild für einen Metallschaum im nächsten Beispiel. Als letztes werden die Vorbilder Kokosnuss und Seeigelstachel präsentiert, die im Rahmen eines Transregios (einem von der Deutschen Forschungsgemeinschaft (DFG) geförderten Sonderforschungsbereich, TRR 141) betrachtet wurden. Für den TRR 141 wurde auch eine Ausstellung im Naturkundemuseum Stuttgart organisiert. Im Kapitel 12 wird eine Präsentationsstation beschrieben, die mit NFC(Near-Field-Communication)-Chips gesteuert werden kann. Die Präsentationsstation wurde im Rahmen dieser Arbeit entwickelt und mit dem Museum zusammen gebaut. Mit ihr werden Filme und Präsentationen zu dem Thema des TRR mit Ausstellungsgegenständen (z. B. eine 3D gedruckte Struktur des Seeigelstachels in Vergrößerung) kombiniert. Auf diese Weise zeigt die vorliegende kumulative Dissertation einen Überblick über die gesamten bionischen Arbeiten, die am Institut für Materialprüfung, Werkstoffkunde und Festigkeitslehre bei Herrn Prof. Dr. rer. nat. Dr. h. c. Siegfried Schmauder mit meiner Beteiligung entstanden sind.Item Open Access Biochemical characterization of protein lysine methyltransferases-regulation, specificity and effect of somatic cancer mutants(2023) Khella, Mina S.; Jeltsch, Albert (Prof. Dr.)Item Open Access Enzymkatalysierte regioselektive N-Methylierung und N-Alkylierung von Pyrazolen(2021) Bengel, Ludwig L.; Hauer, Bernhard (Prof. Dr.)Item Open Access Enzymatische Hydrolyse sterisch anspruchsvoller Nitrile und Darstellung von chiralen α-Hydroxycarbonsäuren durch bienzymatische Ganzzellkatalyse in Gegenwart ionischer Flüssigkeiten(2023) Fischer, Stefanie; Stolz, Andreas (Prof. Dr.)Item Open Access The benefit of muscle-actuated systems : internal mechanics, optimization and learning(Stuttgart : Institut für Modellierung und Simulation Biomechanischer Systeme, Computational Biophysics and Biorobotics, 2023) Wochner, Isabell; Schmitt, Syn (Prof. Dr.)We are facing the challenge of an over-aging and overweight society. This leads to an increasing number of movement disorders and causes the loss of mobility and independence. To address this pressing issue, we need to develop new rehabilitation techniques and design innovative assistive devices. Achieving this goal requires a deeper understanding of the underlying mechanics that control muscle-actuated motion. However, despite extensive studies, the neural control of muscle-actuated motion remains poorly understood. While experiments are valuable and necessary tools to further our understanding, they are often limited by ethical and practical constraints. Therefore, simulating muscle-actuated motion has become increasingly important for testing hypotheses and bridge this knowledge gap. In silico, we can establish cause-effect relationships that are experimentally difficult or even impossible to measure. By changing morphological aspects of the underlying musculoskeletal structure or the neural control strategy itself, simulations are crucial in the quest for a deeper understanding of muscle-actuated motion. The insights gained from these simulations paves the way to develop new rehabilitation techniques, enhance pre-surgical planning, design better assistive devices and improve the performance of current robots. The primary objective of this dissertation is to study the intricate interplay between musculoskeletal dynamics, neural controller and the environment. To achieve this goal, a simulation framework has been developed as part of this thesis, enabling the modeling and control of muscle-actuated motion using both model-based and learning-based methods. By utilizing this framework, musculoskeletal models of the arm, head-neck complex and a simplified whole-body model are investigated in conjunction with various concepts of motor control. The main research questions of this thesis are therefore: 1. How does the neural control strategy select muscle activation patterns to generate the desired movement, and can we use this knowledge to design better assistive devices? 2. How does the musculoskeletal dynamics facilitate the neural control strategy in accomplishing this task of generating desired movements? To address these research questions, this thesis comprises a total of five journal and conference articles. More specifically, contributions I-III of this thesis focus on addressing the first research question which aims to understand how voluntary and reflexive movements can be predicted. First, we investigate various optimality principles using a musculoskeletal arm model to predict point-to-manifold reaching tasks. By using predictive simulations, we demonstrate how the arm would move towards a goal if, for example, our neural control strategy would minimize energy consumption. The main finding of this contribution shows that it is essential to include muscle dynamics and consider tasks with more openly defined targets to draw accurate conclusions about motor control. Through our analysis, we show that a combination of mechanical work, jerk and neuronal stimulation effort best predicts point-reaching when compared to human experiments. Second, we propose a novel method to optimize the design of exoskeleton power units taking into account the load cycle of predicted human movements. To achieve this goal, we employ a forward dynamic simulation of a generic musculoskeletal arm model, which is first scaled to represent different individuals. Next, we predict individual human motions and employ the predicted human torques to scale the electrical power units employing a novel scalability model. By considering the individual user needs and task demands, our approach achieves a lighter and more efficient design. In conclusion, our framework demonstrates the potential to improve the design of individual assistive devices. The third contribution focuses on predicting reflexive movements in response to sudden perturbations of the head-neck complex. To achieve this, we conducted experiments in which volunteers were placed on a table while supporting their heads with a trapdoor. This trapdoor was then suddenly released leading to a downward movement of the head until the reflexive reaction of the muscles stops the head from falling. We analyzed the results of these experiments, presenting characteristic parameters and highlighting differences between separate age and gender groups. Using this data, we also set up benchmark validations for a musculoskeletal head-neck model, including reflex control strategies. Our main findings are that there are large individual differences in reflexive responses between participants and that the perturbation direction significantly affects the reflexive response. Furthermore, we show that this data can be used as a benchmark test to validate musculoskeletal models and different muscle control strategies. While the first three contributions focus on the research question (1), contributions IV-V focus on (2) whether and how the musculoskeletal dynamics facilitate the learning and control task of various movements. We utilize a recently introduced information-theoretic approach called control effort to quantify the minimally required information to perform specific movements. By applying this concept, we can for example quantify how much biological muscles reduce the neuronal information load compared to technical DC-motors. We present a novel optimization algorithm to find this control effort and apply it to point-reaching and walking tasks. The main finding of this contribution is that the musculoskeletal dynamics reduce the control effort required for these movements compared to torque-driven systems. Finally, we hypothesize that the highly nonlinear muscle dynamics not only facilitate the control task but also provide inherent stability that is beneficial for learning from scratch. To test this, we employed various learning strategies for multiple anthropomorphic tasks, including point-reaching, ball-hitting, hopping, and squatting. The results of this investigation demonstrate that using muscle-like actuators improves the data-efficiency of the learning tasks. Additionally, including the muscle dynamics improves the robustness towards hyperparameters and allows for a better generalization towards unknown and unlearned perturbations. In summary, this thesis enhances existing methods to control and learn muscle-actuated motion, quantifies the control effort needed to perform certain movements and demonstrates that the inherent stability of the muscle dynamics facilitates the learning task. The models, control strategies, and experimental data presented in this work aid researchers in science and industry to improve their predictions in various fields such as neuroscience, ergonomics, rehabilitation, passive safety systems, and robotics. This allows us to reverse-engineer how we as humans control movement, uncovering the complex relationship between musculoskeletal dynamics and neural controller.
- «
- 1 (current)
- 2
- 3
- »