Programming Cells to Work for Us
The past decade has witnessed the rise of an exciting new field of engineering: synthetic biology. Synthetic biology is the application of engineering principles to the fundamental components of biology with the aim of programming cells with novel functionalities for utilization in the health, envir...
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| Format: | Article |
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Annual Reviews
2018
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| Online Access: | http://hdl.handle.net/1721.1/119007 https://orcid.org/0000-0002-1097-0401 https://orcid.org/0000-0002-9163-8821 |
| _version_ | 1826214584097177600 |
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| author | Del Vecchio, Domitilla Qian, Yili McBride, Cameron David |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Del Vecchio, Domitilla Qian, Yili McBride, Cameron David |
| author_sort | Del Vecchio, Domitilla |
| collection | MIT |
| description | The past decade has witnessed the rise of an exciting new field of engineering: synthetic biology. Synthetic biology is the application of engineering principles to the fundamental components of biology with the aim of programming cells with novel functionalities for utilization in the health, environment, and energy industries. Since its beginnings in the early 2000s, control design principles have been used in synthetic biology to design dynamics, mitigate the effects of uncertainty, and aid modular and layered design. In this review, we provide a basic introduction to synthetic biology, its applications, and its foundations and then describe in more detail how control design approaches have permeated the field since its inception. We conclude with a discussion of pressing challenges in this field that will require new control theory, with the hope of attracting researchers in the control theory community to this exciting engineering area. Keywords: synthetic biology, gene regulation, genetic circuits, control and dynamical systems, robustness, modularity |
| first_indexed | 2024-09-23T16:08:07Z |
| format | Article |
| id | mit-1721.1/119007 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:08:07Z |
| publishDate | 2018 |
| publisher | Annual Reviews |
| record_format | dspace |
| spelling | mit-1721.1/1190072022-09-29T18:27:52Z Programming Cells to Work for Us Del Vecchio, Domitilla Qian, Yili McBride, Cameron David Massachusetts Institute of Technology. Department of Mechanical Engineering Qian, Yili McBride, Cameron David The past decade has witnessed the rise of an exciting new field of engineering: synthetic biology. Synthetic biology is the application of engineering principles to the fundamental components of biology with the aim of programming cells with novel functionalities for utilization in the health, environment, and energy industries. Since its beginnings in the early 2000s, control design principles have been used in synthetic biology to design dynamics, mitigate the effects of uncertainty, and aid modular and layered design. In this review, we provide a basic introduction to synthetic biology, its applications, and its foundations and then describe in more detail how control design approaches have permeated the field since its inception. We conclude with a discussion of pressing challenges in this field that will require new control theory, with the hope of attracting researchers in the control theory community to this exciting engineering area. Keywords: synthetic biology, gene regulation, genetic circuits, control and dynamical systems, robustness, modularity United States. Air Force. Office of Scientific Research (Grant FA9550-14- 1-0060) National Science Foundation (U.S.) (Expeditions in Computing Award 1521925) United States. Office of Naval Research (Award N000141310074) 2018-11-14T18:12:44Z 2018-11-14T18:12:44Z 2018-05 2018-11-09T16:30:45Z Article http://purl.org/eprint/type/JournalArticle 2573-5144 http://hdl.handle.net/1721.1/119007 Qian, Yili, et al. “Programming Cells to Work for Us.” Annual Review of Control, Robotics, and Autonomous Systems, vol. 1, no. 1, May 2018, pp. 411–40. https://orcid.org/0000-0002-1097-0401 https://orcid.org/0000-0002-9163-8821 http://dx.doi.org/10.1146/ANNUREV-CONTROL-060117-105052 Annual Review of Control, Robotics, and Autonomous Systems Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Annual Reviews MIT Web Domain |
| spellingShingle | Del Vecchio, Domitilla Qian, Yili McBride, Cameron David Programming Cells to Work for Us |
| title | Programming Cells to Work for Us |
| title_full | Programming Cells to Work for Us |
| title_fullStr | Programming Cells to Work for Us |
| title_full_unstemmed | Programming Cells to Work for Us |
| title_short | Programming Cells to Work for Us |
| title_sort | programming cells to work for us |
| url | http://hdl.handle.net/1721.1/119007 https://orcid.org/0000-0002-1097-0401 https://orcid.org/0000-0002-9163-8821 |
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