Modular engineering and in vivo library selection of tissue-targeting protein nanoparticles
| dc.contributor.advisor | Pun, Suzie H | |
| dc.contributor.advisor | King, Neil P | |
| dc.contributor.author | Olshefsky, Audrey Ellen | |
| dc.date.accessioned | 2023-08-14T17:02:15Z | |
| dc.date.available | 2023-08-14T17:02:15Z | |
| dc.date.issued | 2023-08-14 | |
| dc.date.submitted | 2023 | |
| dc.description | Thesis (Ph.D.)--University of Washington, 2023 | |
| dc.description.abstract | Targeted delivery remains one of the greatest challenges and opportunities in drug development. In Chapter 1, I review these challenges and opportunities through the lens of the principles of applying self-assembling protein nanomaterials to therapeutic delivery. In Chapter 2, I report an in vivo library selection platform based on protein nanoparticles that encapsulate their own genome. Our selection platform offers a unique tool to optimize protein-based therapeutic performance in a living mammal, a complex physiological environment that cannot yet be comprehensively modeled in silico or in vitro, and to identify targeting ligands of interest. In Chapter 3, I report results towards modularly reprogramming synthetic nucleocapsids for targeted chemotherapeutic delivery by altering both the displayed targeting domains and the encapsulated cargo. I discuss potential future directions in Chapter 4. Together, these results provide new insights and methods for developing self-assembling nanomaterials for in vivo targeted delivery. | |
| dc.embargo.terms | Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Olshefsky_washington_0250E_25343.pdf | |
| dc.identifier.uri | http://hdl.handle.net/1773/50225 | |
| dc.language.iso | en_US | |
| dc.rights | CC BY | |
| dc.subject | ||
| dc.subject | Bioengineering | |
| dc.subject | Biochemistry | |
| dc.subject.other | Bioengineering | |
| dc.title | Modular engineering and in vivo library selection of tissue-targeting protein nanoparticles | |
| dc.type | Thesis |
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