Control theory meets synthetic biology
The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in livi...
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| Format: | Article |
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Royal Society Publishing
2018
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| Online Access: | http://hdl.handle.net/1721.1/119159 https://orcid.org/0000-0001-6472-8576 https://orcid.org/0000-0003-0319-5416 https://orcid.org/0000-0002-1097-0401 |
| _version_ | 1826213246522097664 |
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| author | Del Vecchio, Domitilla Dy, Aaron James Qian, Yili |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Del Vecchio, Domitilla Dy, Aaron James Qian, Yili |
| author_sort | Del Vecchio, Domitilla |
| collection | MIT |
| description | The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology. |
| first_indexed | 2024-09-23T15:45:47Z |
| format | Article |
| id | mit-1721.1/119159 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:45:47Z |
| publishDate | 2018 |
| publisher | Royal Society Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1191592022-10-02T03:58:13Z Control theory meets synthetic biology Del Vecchio, Domitilla Dy, Aaron James Qian, Yili Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Synthetic Biology Center Del Vecchio, Domitilla Dy, Aaron James Qian, Yili The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology. United States. Air Force. Office of Scientific Research (grant no. FA9550-14-1- 0060) United States. Office of Naval Research (grant no. N000141310074) National Science Foundation (U.S.). Graduate Research Fellowship Program 2018-11-16T19:44:24Z 2018-11-16T19:44:24Z 2016-07 2016-05 2018-11-09T18:18:46Z Article http://purl.org/eprint/type/JournalArticle 1742-5689 1742-5662 http://hdl.handle.net/1721.1/119159 Del Vecchio, Domitilla, Aaron J. Dy, and Yili Qian. “Control Theory Meets Synthetic Biology.” Journal of The Royal Society Interface 13, no. 120 (July 2016): 20160380. https://orcid.org/0000-0001-6472-8576 https://orcid.org/0000-0003-0319-5416 https://orcid.org/0000-0002-1097-0401 http://dx.doi.org/10.1098/RSIF.2016.0380 Journal of The Royal Society Interface Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society Publishing MIT Web Domain |
| spellingShingle | Del Vecchio, Domitilla Dy, Aaron James Qian, Yili Control theory meets synthetic biology |
| title | Control theory meets synthetic biology |
| title_full | Control theory meets synthetic biology |
| title_fullStr | Control theory meets synthetic biology |
| title_full_unstemmed | Control theory meets synthetic biology |
| title_short | Control theory meets synthetic biology |
| title_sort | control theory meets synthetic biology |
| url | http://hdl.handle.net/1721.1/119159 https://orcid.org/0000-0001-6472-8576 https://orcid.org/0000-0003-0319-5416 https://orcid.org/0000-0002-1097-0401 |
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