| dc.contributor.advisor | Michael Yaffe. | en_US |
| dc.contributor.author | Handly, Erika Daphne. | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Biological Engineering. | en_US |
| dc.date.accessioned | 2021-05-25T18:20:22Z | |
| dc.date.available | 2021-05-25T18:20:22Z | |
| dc.date.copyright | 2020 | en_US |
| dc.date.issued | 2021 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/130803 | |
| dc.description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, February, 2021 | en_US |
| dc.description | Cataloged from the official PDF version of thesis. "February 2021." | en_US |
| dc.description | Includes bibliographical references (pages 153-168). | en_US |
| dc.description.abstract | Ovarian cancer is the fifth leading cause of cancer death for women in the United States, with only modest improvements in patient survival in the past few decades. Standard-of-care consists of surgical debulking followed by a combination of platinum and taxane agents, but relapse and resistance frequently occur. To identify genes that confer sensitivity or resistance in tumor cells treated with platinum chemotherapeutics, I performed genome-wide screens combining cisplatin or oxaliplatin with CRISPRi pooled gene knockdowns. Screens were analyzed at 9-days to mimic patient care, and at 48-hours to isolate the short-term DNA damage response. Genes whose knockdown caused sensitivity to the platinum chemotherapeutics were identified through a multi-objective optimization approach to account for knockdown efficiencies and variances in sequencing depth. | en_US |
| dc.description.abstract | To filter the noise in the genome-wide screen and more confidently identify 'hits,' a smaller pooled CRISPRi screen of four hundred targets was designed, and a few 'hits' were validated. Interestingly, knockdown of FAAP24, a component of the FA core complex, was found to sensitize multiple ovarian cancer cells to platinum compounds, and thus may be a promising candidate for a combination treatment with oxaliplatin and cisplatin. Chapter 5 details an implementation of a combination therapy with cisplatin using peptide nanoparticles. Peptide nanoparticles are a promising therapeutic for the delivery of siRNA and allow for targeting of specific proteins that are difficult to inhibit with small molecular inhibitors; specifically, nanoplexes allowed for the targeting of the REV3 protein, the catalytic component of the translesion synthesis polymerase. | en_US |
| dc.description.abstract | Interfering with REV3 expression through siRNA has a synergistic effect with cisplatin treatment in both human and mouse models of lung cancer, indicating that REV3 is an excellent target to combine with cisplatin therapies. This REV3 knock-down sensitivity was also extended to human ovarian cancer cell lines, indicating the potential of the combination treatment for both lung and ovarian cancers. | en_US |
| dc.description.statementofresponsibility | by Erika Daphne Handly. | en_US |
| dc.format.extent | 218 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Biological Engineering. | en_US |
| dc.title | CRISPRi screens to identify combination therapies for the improved treatment of ovarian cancer | en_US |
| dc.title.alternative | Clustered regularly interspaced short palindromic repeats interference screens to identify combination therapies for the improved treatment of ovarian cancer | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | Ph. D. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.identifier.oclc | 1252627192 | en_US |
| dc.description.collection | Ph.D. Massachusetts Institute of Technology, Department of Biological Engineering | en_US |
| dspace.imported | 2021-05-25T18:20:22Z | en_US |
| mit.thesis.degree | Doctoral | en_US |
| mit.thesis.department | BioEng | en_US |