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dc.contributor.advisorCarothers, James M
dc.contributor.authorXi, Chenggang
dc.date.accessioned2019-08-14T22:30:33Z
dc.date.submitted2019
dc.identifier.otherXi_washington_0250O_20072.pdf
dc.identifier.urihttp://hdl.handle.net/1773/44094
dc.descriptionThesis (Master's)--University of Washington, 2019
dc.description.abstractBiological parts can be considered as molecular building blocks to assemble complex synthetic genetic networks utilizing synthetic biology. In this work, we constructed three types of multi-Ribozyme-gRNA-Aptazyme (RGA) networks for biosensing and gene regulation by linking RGA, Ribozyme-gRNA-Ribozyme (RGR) and CRISPRi systems together. We screened out two different aptazymes that fit this network and analyzed their one-layer and two-layer single-input RGAs behaviors and functions in two-inputs systems with different architectures. Overall, we built two IMPLY gates, two NIMPLY gates, one AND gate, one partial NAND gate, one conditional non-Boolean gate. The RGA shows as much as a 7.38-fold increase in ligand-dependent system-output. The interaction between RGAs that are inserted in circuits in parallel has also been reported, which contributions to the predictability of more complicated RGA networks.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.haspartThesis-Chenggang Xi-SI.pdf; pdf; Supplementary Information.
dc.rightsnone
dc.subjectAptazyme
dc.subjectCRISPRi
dc.subjectgenetic circuit
dc.subjectgRNA
dc.subjectChemical engineering
dc.subjectBioengineering
dc.subject.otherChemical engineering
dc.titleMulti-Ribozyme-gRNA-Aptazyme (RGA) networks for biosensing and gene regulation
dc.typeThesis
dc.embargo.termsRestrict to UW for 2 years -- then make Open Access
dc.embargo.lift2021-08-03T22:30:33Z


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