The Application of Conditional Reprogramming to Drug Discovery and Regenerative Medicine
Creator
Alkhilaiwi, Faris
Advisor
Schlegel, Richard
Abstract
The Conditional Reprogramming (CR) method has been shown to induce an in vitro stem-like state allowing for the continuous growth of patient-derived epithelial cells. Due to this new culture system, it has been possible to identify potential therapies for multiple cancer types and to generate differentiated tissue from cultures of normal epithelial cells. Hence, CR has broad applications in the field of drug discovery and regenerative medicine.
Based upon the above findings, we evaluate the ability of CR to identify potential drugs to treat a rare but morbid disease called recurrent respiratory papillomatosis (RRP). A robotic high-throughput screening was performed in collaboration with the National Center for Advanced Technology (NCATS). The conditionally reprogrammed cells, GUMC-403 cells, were screened against two libraries of >4700 drugs. From the two libraries, we identified a total of 13 drugs that induced substantial cytotoxicity in GUMC-403. Furthermore, we validated the efficacy of the drugs in vitro using 2D and 3D models and further polished our list of drugs to panobinostat, dinaciclib and forskolin as potential treatments for RRP patients.
On another front, we investigated the ability of conditional reprogramming to propagate equine keratinocyte cultures for long-term expansion. 3D air-liquid interface culture was used to investigate the ability of CR equine keratinocytes to differentiate and form stratified squamous epithelium that was positive for terminal differentiation markers. These unlimited supplies of autologous cells could be used to generate skin transplants without the risk of immune rejection.
Our work indicates that conditional reprogramming is a robust method that allows for the rapid and continued in vitro propagation of primary cancer cells or normal equine keratinocytes that can be used for drug discovery or regenerative medicine respectively.
Description
Ph.D.
Permanent Link
http://hdl.handle.net/10822/1053046Date Published
2018Subject
Type
Publisher
Georgetown University
Extent
116 leaves
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