Natural cellular networks are very good at processing diverse inputs, generating complicated responses, and confounding researchers with their complexities. As an alternative to traditional cellular engineering approaches, the field of synthetic biology attempts to avoid the complexities of natural systems by focusing on the bottom-up construction of artificial cellular circuits. By rationally building up circuit complexity, synthetic biologists hope to both create novel systems capable of programming unique cellular responses, and gain insights into the design principles of natural systems. Circuits that allow for the programming of intercellular responses are of particular interest, and researchers have focused on the use of bacterial communication mechanisms (quorum sensing) to construct such circuits. At their most basic, quorum-sensing systems are composed of three main components, making them amenable to genetic manipulation. These components, however, have properties that have been finely tuned through evolution to function in very specific ways, and repurposing them for our own uses requires methods to overcome their naturally evolved properties. This thesis details our work in the construction and engineering of synthetic circuits based on components of the LuxI-LuxR quorum-sensing system. Using these components, we demonstrate methods for altering both the sensitivity and the form of the quorum-sensing response through the creation of three unique systems: an ultrasensitive positive feedback loop, a logical AND gate, and a coupled feedback loop oscillator. Construction and tuning of each circuit's properties were achieved through a mixture of rational and evolutionary approaches, with particular emphasis on the directed evolution of the LuxR transcriptional activator. Mathematical modeling was also used during the construction of the more complex circuits to predict the properties that were essential to their functionalities. With the construction and characterization of these circuits, we have provided both well-defined modules that can be used in the construction of more complex systems, and developed methods that will allow for the creation and engineering of additional synthetic circuits.

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京都大学 / 新制・課程博士 / 博士(医科学) / 甲第23818号 / 医科博第139号 / 新制||医科||9(附属図書館) / 京都大学大学院医学研究科医科学専攻 / (主査)教授 萩原 正敏, 教授 藤渕 航, 教授 上杉 志成 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

yes / This paper proposes a formal methodology to analyse bio-systems, in particular synthetic biology systems. An integrative analysis perspective combining different model checking approaches based on different property categories is provided. The methodology is applied to the synthetic pulse generator system and several verification experiments are carried out to demonstrate the use of our approach to formally analyse various aspects of synthetic biology systems. / EPSRC

Additive manufacturing in the form of 3D printing is a revolutionary technology that has developed within the last two decades. Its ability to print an object with accurate features down to the micro scale have made its use in medical devices and research feasible. A range of life-saving technologies can now go from the laboratory and into field with the application of 3D-printing. This technology can be applied to medical diagnosis of patients in at-risk populations. Living biosensors are limited by being Genetically Modified Organisms (GMOs) from being employed for medical diagnosis. However, by containing them within a 3D-printed enclosure, these technologies can serve as a vehicle to translate life-saving diagnosis technologies from the laboratory and into the field where the lower cost would allow more people to benefit from inexpensive diagnosis. Also, the GMO biosensors would be contained with a press-fit, ensuring that the living biosensors are unable to escape into the environment without user input. In addition, 3D-printing can also be applied to reduce the cost of lab-based technologies. Cell patterning technology is a target of interest for applying more cost-effective technologies, as elucidation of the variables defining cell patterning and motility may help explain the mechanics of cancer and other diseases. Through the use of a 3D-printed stamp, bacterial cells can be patterning without the use of a clean room, thus lowering the entry-barrier for researchers to explore cell patterning. With the commercialization of 3D-printing an opportunity has arisen to transition life-saving technologies into more cost-effective versions of existing technologies. This would not only allow more research into existing fields, but also to ensure that potentially life-saving technologies reach the people that need them. / Ph. D.

Biosensors are devices that use biological components to detect important analytes. Biosensing systems have various applications in areas such as medicine, environmental monitoring, and process control. Classical biosensors are often based on bacteria or purified enzymes that have limitations on efficiency or stability. I have developed several new biosensors to overcome these disadvantages. Two preliminary biosensors were first created based on the extremely strong and specific interaction between biotin and (strept)avidin. Both biosensors showed high sensitivity and reliability for measuring biotin with detection limits of 50-1000 pg/ml and 20-100 ng/ml, respectively. Following these, a new biosensor was developed by coupling a mobile, functionalized microsurface with cell-free expression approaches. This biosensor demonstrated a dynamic range of 1- 100 ng/ml. In addition, I also explored the possibility of combining these biosensing systems with engineered living cells. By leveraging the tools of synthetic biology, a genetic circuit was designed, constructed, and inserted into bacteria for enhanced biotin biosynthesis in vivo. Upon induction, a 17-fold increase in biotin production was measured in the engineered cells in comparison to wild type cells using the biosensors created herein. These new biosensors, particularly the mobile biosensing modality, form a building block for advanced biosensing and drug delivery systems due to enhancements in mobility and specificity. In the future, these biosensing and cellular production systems could impact a range of fields ranging from biomedicine to environmental monitoring. / Master of Science

In metabolic engineering of prokaryotes, combinatorial approaches have developed recently that induce random genetic perturbations to achieve a desired cell phenotype. A screening strategy follows the randomized genetic manipulations to select strain(s) with the more optimal phenotype of interest. This screening strategy is often divided into two categories: (i) a growth competition assay and (ii) selection by high-throughput screening. The growth competition assay involves culturing strains together. The strain with the highest growth rate will ultimately dominate the culture. This strategy is ideal for selecting strain with cellular fitness (e.g., solvent tolerance), but it does not work for selecting a strain that can over-produce a product (e.g., an amino acid). For the case of selecting highly productive phenotypes, high-throughput screening is used. This method analyzes strains individually and is costly and time-consuming. In this research, a synthetic genetic circuit was developed to select highly productive phenotypes using a growth competition assay rather than high-throughput screening. This novel system is called Feed-back Inhibition of Transcription for Growth Selection (FITSelect), and it uses a natural feedback inhibition mechanism in the L-arginine production pathway to select strains (transformed with a random genomic library) that can over-produce L-arginine in E. coli DH10B. With FITSelect, the cell can thrive in the growth competition assay when L-arginine is over-produced (i.e., growth is tied to L-arginine production). Cell death or reduced growth results if L-arginine is not over-produced by the cell. This system was created by including an L-arginine concentration responsive argF promoter to control a ccdB cell death gene in the FITSelect system. The effects of ccdB were modulated by the antidote ccdA gene under control of an L-tryptophan responsive trp promoter. Several insights and construction strategies were required to build a system that ties the growth rate of the cell to L-arginine concentrations. / Master of Science

The concept of creating a hybrid material is motivated by the development of an improved product with acquired properties by amalgamation of components with specific desirable traits. These new attributes can range from improvements upon existing properties, such as strength and durability, to the acquisition of new abilities, such as magnetism and conductivity. Currently, the concept of an organic-inorganic hybrid material typically describes the integration of an inorganic polymer with organically derived proteins. By building on this idea and applying the advanced technologies available today, it is possible to combine living and nonliving components to synthesize functional materials possessing unique abilities of living cells such as self-healing, evolvability, and adaptability. Furthermore, artificial gene regulation, achievable through synthetic biology, allows for an additional dimension of the control of hybrid material function. Here, I genetically engineer E. coli with a tightly controlled artificial protein construct, allowing for inducible expression of different amounts of the surface anchored protein by addition of varying concentrations of L-arabinose. The presence of the surface protein allows the cells to bind nonliving nanoparticle substrates, effectively turning the cells into living crosslinkers. By using the living crosslinker, I was able to successfully synthesize a robust, macroscale living-nonliving hybrid material with magnetic characteristics. Furthermore, by varying the particle size and inducer concentration, the resulting material exhibited alterations in structure and function. Finally, I was able to manipulate material kinetics within a PDMS channel by applying fluctuating magnetic fields and demonstrate material durability. These results demonstrate the ability to manipulate synthesis of living-nonliving hybrid materials, which demonstrate the potential for use in promising applications in areas such as environmental monitoring and micromachining. Additionally, this work serves as a foundational step toward the integration of synthetic biology with tissue engineering by exploiting the possibility of controlling material properties with genetic engineering. / Ph. D.

Synthetic biology is a rapidly growing field that aims to treat cellular biological networks in an analogous way to electrical circuits. However, the field of plant synthetic biology has not grown at the same pace as bacterial and yeast synthetic biology, leaving a dearth of characterized tools for the community. Due to the need for tools for the synthetic plant biologist, I have endeavored to create a library of well-characterized TATA box variants in the cauliflower mosaic virus (CaMV) 35S promoter using the standardized assembly method Golden Braid 2.0. I introduced single nucleotide changes in the TATA box of the CaMV 35S promoter, a genetic part widely used in plant gene expression studies and agricultural biotechnology. Using a dual-luciferase reporter system, I quantified the transcriptional strength of the altered TATA box sequences and compared to the wild-type sequence, both in transient protoplast assays and stable transgenic Arabidopsis thaliana plants. The library of TATA-box modified CaMV 35S promoters with varying transcriptional strengths created here can provide the plant synthetic biology community with a series of modular Golden Braid-adapted genetic parts that can be used dependably and reproducibly by researchers to fine-tune gene expression levels in complex, yet predictable, synthetic genetic circuits.