Title:
Interfacing systems and synthetic biology for advancements in bacterial biosensor engineering

dc.contributor.advisor Styczynski, Mark P.
dc.contributor.author Miguez, April Marie
dc.contributor.committeeMember Cheung, Lily S
dc.contributor.committeeMember Hickman, Meleah A
dc.contributor.committeeMember Lu, Hang
dc.contributor.committeeMember Wu, Ronghu
dc.contributor.department Chemical and Biomolecular Engineering
dc.date.accessioned 2021-06-10T16:56:47Z
dc.date.available 2021-06-10T16:56:47Z
dc.date.created 2021-05
dc.date.issued 2021-04-28
dc.date.submitted May 2021
dc.date.updated 2021-06-10T16:56:47Z
dc.description.abstract Current detection platforms ranging from clinical diagnostics to environmental pollutant monitoring often require a time-intensive sample analysis process involving expensive equipment and highly-trained staff. This has led to growing demands for faster, less expensive, more user-friendly platforms. Bacteria have the potential to meet these needs, as they can serve as inexpensive, robust biosensors that can be engineered to detect target molecules while providing fast, easily measurable readouts; however, genetic engineering efforts can often incite metabolic changes that limit biosensing performance. Cell-free bacteria-based biosensors, which use a bacterial protein lysate to perform transcription and translation, can avoid many of the challenges of whole-cell biosensor development, but the uncharacterized metabolic activity in cell-free systems creates a new set of obstacles that must be addressed for effective biosensor design. In this work, I use metabolomics (the systems-scale study of small molecule intermediates involved in the chemical reactions within biological systems) to address these key challenges in whole-cell and cell-free systems to improve their development for biosensing applications. For whole-cell systems, I explore the metabolic effects linked to expression and optimization of a well-characterized biosensor reporter system. For cell-free systems, I characterize their endogenous, dynamic metabolic activity and explore the metabolic impacts of various system perturbations. For both platforms, I identify key metabolites that limit the utility of both whole-cell and cell-free systems and present strategies to address some of the limitations in each platform to facilitate improved biosensor engineering and ultimately broaden the reach of whole-cell and cell-free bacteria-based biosensors.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/64774
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Metabolomics
dc.subject Biosensors
dc.subject Escherichia coli
dc.subject Cell-free expression systems
dc.subject Gas-chromatography-mass spectrometry
dc.title Interfacing systems and synthetic biology for advancements in bacterial biosensor engineering
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Styczynski, Mark P.
local.contributor.corporatename School of Chemical and Biomolecular Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 932cc32a-66dd-4530-afde-796f557fee0b
relation.isOrgUnitOfPublication 6cfa2dc6-c5bf-4f6b-99a2-57105d8f7a6f
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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