Minimizing interference due to genetic manipulation
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85518 |
| _version_ | 1826191921003888640 |
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| author | Wang, Jerry S |
| author2 | Timothy K. Lu. |
| author_facet | Timothy K. Lu. Wang, Jerry S |
| author_sort | Wang, Jerry S |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T09:03:22Z |
| format | Thesis |
| id | mit-1721.1/85518 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:03:22Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/855182019-04-10T08:43:46Z Minimizing interference due to genetic manipulation Wang, Jerry S Timothy K. Lu. 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, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (pages 53-55). Synthetic gene networks are the functional genetic 'programs' that will form the basis of increasingly sophisticated engineered organisms, cells and tissues. Important factors to consider in biologically engineering circuits are modularity and orthogonality of the components. We explore these factors experimentally by using TALEs as a synthetic transcription factor. We also designed an algorithm to find optimal locations to insert synthetic gene networks into the cell so that interference is minimized and orthogonality is maximized. Finally, we developed a method for encrypting and decrypting these genetic 'programs' for the protection of intellectual property. Together these projects explore ways of minimizing unwanted effects due to genetic manipulation. by Jerry S. Wang. M. Eng. 2014-03-06T15:47:48Z 2014-03-06T15:47:48Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85518 871038359 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 78 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wang, Jerry S Minimizing interference due to genetic manipulation |
| title | Minimizing interference due to genetic manipulation |
| title_full | Minimizing interference due to genetic manipulation |
| title_fullStr | Minimizing interference due to genetic manipulation |
| title_full_unstemmed | Minimizing interference due to genetic manipulation |
| title_short | Minimizing interference due to genetic manipulation |
| title_sort | minimizing interference due to genetic manipulation |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85518 |
| work_keys_str_mv | AT wangjerrys minimizinginterferenceduetogeneticmanipulation |