Streamlining and standardizing transcriptomic analysis in Amgen process development
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/104314 |
| _version_ | 1826209971264552960 |
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| author | Weinberg, Kerry Rachel |
| author2 | Douglas Lauffenburger and Roy Welsch. |
| author_facet | Douglas Lauffenburger and Roy Welsch. Weinberg, Kerry Rachel |
| author_sort | Weinberg, Kerry Rachel |
| collection | MIT |
| description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT. |
| first_indexed | 2024-09-23T14:37:49Z |
| format | Thesis |
| id | mit-1721.1/104314 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:37:49Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1043142022-01-27T21:22:00Z Streamlining and standardizing transcriptomic analysis in Amgen process development Weinberg, Kerry Rachel Douglas Lauffenburger and Roy Welsch. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Biological Engineering Sloan School of Management Sloan School of Management. Biological Engineering. Leaders for Global Operations Program. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Biological Engineering, 2016. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 71-75). Building biological understanding of the Chinese Hamster Ovary (CHO) system used to manufacture therapeutic proteins is paramount to efficient CHO bioprocess optimization. This understanding can be built by analyzing and synthesizing biological data; such as transcriptomic (gene expression), proteomic (protein levels), or metabolomic (metabolite levels). This thesis describes a streamlined workflow for analyzing transcriptomic data. This streamlined workflow not only reduced the barrier to conducting the analysis but also reduced the analysis cycle time. With the use of this workflow, a number of historical Amgen microarray datasets were mined to identify gene expression signatures indicative of productivity. The result of this mining identified key biological pathways specific to a highly productive Amgen cell line. This work suggests that these pathways are critical to heightened levels of protein production. Using this information to engineer future cell lines could enable Amgen to improve cellular protein production by over 30%, impacting costs associated with drug substance manufacturing. More broadly, this example of streamlining and standardizing transcriptomic data provides a framework for how Amgen Process Development can leverage biological data to improve CHO systems understanding and achieve operational impacts. by Kerry Rachel Weinberg. M.B.A. S.M. in Engineering Systems 2016-09-13T19:24:35Z 2016-09-13T19:24:35Z 2016 2016 Thesis http://hdl.handle.net/1721.1/104314 958279112 eng 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. http://dspace.mit.edu/handle/1721.1/7582 75 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Sloan School of Management. Biological Engineering. Leaders for Global Operations Program. Weinberg, Kerry Rachel Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title | Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title_full | Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title_fullStr | Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title_full_unstemmed | Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title_short | Streamlining and standardizing transcriptomic analysis in Amgen process development |
| title_sort | streamlining and standardizing transcriptomic analysis in amgen process development |
| topic | Sloan School of Management. Biological Engineering. Leaders for Global Operations Program. |
| url | http://hdl.handle.net/1721.1/104314 |
| work_keys_str_mv | AT weinbergkerryrachel streamliningandstandardizingtranscriptomicanalysisinamgenprocessdevelopment |