High-throughput methods for characterizing the immune repertoire
Thesis (Ph. D. in Biomedical Engineering and Computational Biology)--Harvard-MIT Program in Health Sciences and Technology, February 2013.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/79246 |
| _version_ | 1826191476182220800 |
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| author | Laserson, Uri |
| author2 | George M Church. |
| author_facet | George M Church. Laserson, Uri |
| author_sort | Laserson, Uri |
| collection | MIT |
| description | Thesis (Ph. D. in Biomedical Engineering and Computational Biology)--Harvard-MIT Program in Health Sciences and Technology, February 2013. |
| first_indexed | 2024-09-23T08:56:27Z |
| format | Thesis |
| id | mit-1721.1/79246 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:56:27Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/792462019-04-10T18:46:22Z High-throughput methods for characterizing the immune repertoire Laserson, Uri George M Church. Harvard--MIT Program in Health Sciences and Technology. Harvard--MIT Program in Health Sciences and Technology. Harvard--MIT Program in Health Sciences and Technology. Thesis (Ph. D. in Biomedical Engineering and Computational Biology)--Harvard-MIT Program in Health Sciences and Technology, February 2013. "September 2012." Cataloged from PDF version of thesis. Includes bibliographical references (p. 147-160). The adaptive immune system is one of the primary mediators in almost every major human disease, including infections, cancer, autoimmunity, and inflammation-based disorders. It fundamentally functions as a molecular classifier, and stores a memory of its previous exposures. However, until recently, methods to unlock this information or to exploit its power in the form of new therapeutic antibodies or affinity reagents have been limited by the use of traditional, low-throughput technologies. In this thesis, we leverage recent advances in high-throughput DNA sequencing technology to develop new methods to characterize and probe the immune repertoire in unprecedented detail. We use this technology to 1) characterize the rapid dynamics of the immune repertoire in response to influenza vaccination, 2) characterize elite neutralizing antibodies to HIV, to better understand the constraints for designing an HIV vaccine, and 3) develop new methodologies for discovering auto-antigens, and assaying large libraries of protein antigens in general. We hope that these projects will serve as stepping-stones towards filling the gap left by low-throughput methods in the development of antibody technologies. by Uri Laserson. Ph.D.in Biomedical Engineering and Computational Biology 2013-06-17T19:50:19Z 2013-06-17T19:50:19Z 2012 2013 Thesis http://hdl.handle.net/1721.1/79246 845381084 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 160 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Harvard--MIT Program in Health Sciences and Technology. Laserson, Uri High-throughput methods for characterizing the immune repertoire |
| title | High-throughput methods for characterizing the immune repertoire |
| title_full | High-throughput methods for characterizing the immune repertoire |
| title_fullStr | High-throughput methods for characterizing the immune repertoire |
| title_full_unstemmed | High-throughput methods for characterizing the immune repertoire |
| title_short | High-throughput methods for characterizing the immune repertoire |
| title_sort | high throughput methods for characterizing the immune repertoire |
| topic | Harvard--MIT Program in Health Sciences and Technology. |
| url | http://hdl.handle.net/1721.1/79246 |
| work_keys_str_mv | AT lasersonuri highthroughputmethodsforcharacterizingtheimmunerepertoire |