Advancing Genetic Circuit Design with Prediction, Reversible Logic, and Thermal Induction

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MILNER-DISSERTATION-2024.pdf (16.43 MB)
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Milner, Prasaad Thomas
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School of Chemical and Biomolecular Engineering
School established in 1901 as the School of Chemical Engineering; in 2003, renamed School of Chemical and Biomolecular Engineering
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https://hdl.handle.net/1853/78607
Abstract
This thesis explores advancements in synthetic biology with a focus on transcriptional regulatory systems. It begins by developing predictive models for genetic circuits constructed using synthetic LacI/GalR family transcription factors, demonstrating that single-input data alone can accurately forecast the behavior of two-input genetic circuits. Building on this, it introduces novel genetic circuits inspired by quantum computing that can reduce cellular resource competition and enhance decision-making capabilities through the use of synthetic bidirectional promoters and reversible logic gates. To address the limitations of chemical inducers in genetic circuits for therapeutic and biomanufacturing applications, heat-inducible genetic circuits regulated by engineered LacIts repressors are developed, offering an approach for the construction of non-invasive and remote gene expression control systems. These innovations collectively enhance the predictability, efficiency, and versatility of genetic circuit design, paving the way for applications in circuit design, biocomputing, therapeutics, and biomanufacturing.
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2024-07-27
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