Design of genetic circuits that are robust to resource competition
The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic ci...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2022
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| Online Access: | https://hdl.handle.net/1721.1/138566.2 |
| _version_ | 1811077108540112896 |
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| author | McBride, Cameron David Grunberg, Theodore Wu Del Vecchio, Domitilla |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering McBride, Cameron David Grunberg, Theodore Wu Del Vecchio, Domitilla |
| author_sort | McBride, Cameron David |
| collection | MIT |
| description | The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic circuits remains a significant hurdle. We review intra-cellular resource competition, one culprit of context dependence, and summarize recent efforts toward design approaches to mitigate it. We classify these approaches into two main groups: global control and local control. In the former, the pool of resources is regulated to meet the demand, and in the latter, individual modules are regulated to be robust to variability in the pool of resources. Within each group, we highlight both feedback and feedforward implementations. |
| first_indexed | 2024-09-23T10:38:01Z |
| format | Article |
| id | mit-1721.1/138566.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:38:01Z |
| publishDate | 2022 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/138566.22022-01-13T14:26:48Z Design of genetic circuits that are robust to resource competition McBride, Cameron David Grunberg, Theodore Wu Del Vecchio, Domitilla Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic circuits remains a significant hurdle. We review intra-cellular resource competition, one culprit of context dependence, and summarize recent efforts toward design approaches to mitigate it. We classify these approaches into two main groups: global control and local control. In the former, the pool of resources is regulated to meet the demand, and in the latter, individual modules are regulated to be robust to variability in the pool of resources. Within each group, we highlight both feedback and feedforward implementations. National Science Foundation (Award 1521925) 2022-01-13T14:26:47Z 2021-12-17T18:02:08Z 2022-01-13T14:26:47Z 2021 2021-12-17T17:42:58Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/138566.2 McBride, Cameron D, Grunberg, Theodore W and Del Vecchio, Domitilla. 2021. "Design of genetic circuits that are robust to resource competition." Current Opinion in Systems Biology, 28. en 10.1016/J.COISB.2021.100357 Current Opinion in Systems Biology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/octet-stream Elsevier BV MIT web domain |
| spellingShingle | McBride, Cameron David Grunberg, Theodore Wu Del Vecchio, Domitilla Design of genetic circuits that are robust to resource competition |
| title | Design of genetic circuits that are robust to resource competition |
| title_full | Design of genetic circuits that are robust to resource competition |
| title_fullStr | Design of genetic circuits that are robust to resource competition |
| title_full_unstemmed | Design of genetic circuits that are robust to resource competition |
| title_short | Design of genetic circuits that are robust to resource competition |
| title_sort | design of genetic circuits that are robust to resource competition |
| url | https://hdl.handle.net/1721.1/138566.2 |
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