Modular engineering and in vivo library selection of tissue-targeting protein nanoparticles

dc.contributor.advisorPun, Suzie H
dc.contributor.advisorKing, Neil P
dc.contributor.authorOlshefsky, Audrey Ellen
dc.date.accessioned2023-08-14T17:02:15Z
dc.date.available2023-08-14T17:02:15Z
dc.date.issued2023-08-14
dc.date.submitted2023
dc.descriptionThesis (Ph.D.)--University of Washington, 2023
dc.description.abstractTargeted 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.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherOlshefsky_washington_0250E_25343.pdf
dc.identifier.urihttp://hdl.handle.net/1773/50225
dc.language.isoen_US
dc.rightsCC BY
dc.subject
dc.subjectBioengineering
dc.subjectBiochemistry
dc.subject.otherBioengineering
dc.titleModular engineering and in vivo library selection of tissue-targeting protein nanoparticles
dc.typeThesis

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