Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/124284 |
| _version_ | 1826194128100130816 |
|---|---|
| author | Ji, Yuge. |
| author2 | Leona Samson and Bevin Engelward. |
| author_facet | Leona Samson and Bevin Engelward. Ji, Yuge. |
| author_sort | Ji, Yuge. |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 |
| first_indexed | 2024-09-23T09:50:36Z |
| format | Thesis |
| id | mit-1721.1/124284 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:50:36Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1242842020-03-25T03:34:13Z Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage Ji, Yuge. Leona Samson and Bevin Engelward. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-43). The transcriptional response to DNA damage plays a critical role in cellular responses to exogenous stress, and is a key component of resistance to therapeutics in cancer cells. Understanding the underlying mechanisms, as well as the differences in DNA damage responses, between cell lines can have implications for how we evaluate drug treatments, and contributes to our understanding of cellular growth and replication. Here, I have analyzed a dataset previously created by Chandni Valiathan, replicating and expanding beyond her initial analyses. Dr. Valiathans initial studies clearly show that cell lines derived from different individuals are highly variable in their sensitivity to BCNU. We therefore set out to determine mechanisms underlying this difference in phenotypic responses. Using gene expression analysis methods, we determined that the transcription factor NF-Y plays a key role in the differential response among cell lines, which is consistent with a model wherein transactivation of genes related to DNA repair, cell cycle arrest, and apoptosis together dictate cell fate. by Yuge Ji. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2020-03-24T15:50:55Z 2020-03-24T15:50:55Z 2019 2019 Thesis https://hdl.handle.net/1721.1/124284 1145122891 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 43 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Ji, Yuge. Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title | Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title_full | Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title_fullStr | Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title_full_unstemmed | Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title_short | Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage |
| title_sort | computational analysis of genomic data provides insight into cell sensitivity to bcnu induced dna damage |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/124284 |
| work_keys_str_mv | AT jiyuge computationalanalysisofgenomicdataprovidesinsightintocellsensitivitytobcnuinduceddnadamage |