Synthetic analog and digital circuits for cellular computation and memory
Biological computation is a major area of focus in synthetic biology because it has the potential to enable a wide range of applications. Synthetic biologists have applied engineering concepts to biological systems in order to construct progressively more complex gene circuits capable of processing...
| المؤلفون الرئيسيون: | , |
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| مؤلفون آخرون: | |
| التنسيق: | مقال |
| اللغة: | en_US |
| منشور في: |
Elsevier
2014
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| الوصول للمادة أونلاين: | http://hdl.handle.net/1721.1/90331 https://orcid.org/0000-0002-9999-6690 https://orcid.org/0000-0002-2031-8871 |
| _version_ | 1826199519407112192 |
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| author | Purcell, Oliver Lu, Timothy K. |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Purcell, Oliver Lu, Timothy K. |
| author_sort | Purcell, Oliver |
| collection | MIT |
| description | Biological computation is a major area of focus in synthetic biology because it has the potential to enable a wide range of applications. Synthetic biologists have applied engineering concepts to biological systems in order to construct progressively more complex gene circuits capable of processing information in living cells. Here, we review the current state of computational genetic circuits and describe artificial gene circuits that perform digital and analog computation. We then discuss recent progress in designing gene networks that exhibit memory, and how memory and computation have been integrated to yield more complex systems that can both process and record information. Finally, we suggest new directions for engineering biological circuits capable of computation. |
| first_indexed | 2024-09-23T11:21:14Z |
| format | Article |
| id | mit-1721.1/90331 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:21:14Z |
| publishDate | 2014 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/903312022-10-01T03:02:45Z Synthetic analog and digital circuits for cellular computation and memory Purcell, Oliver Lu, Timothy K. Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Synthetic Biology Center Purcell, Oliver Lu, Timothy K. Biological computation is a major area of focus in synthetic biology because it has the potential to enable a wide range of applications. Synthetic biologists have applied engineering concepts to biological systems in order to construct progressively more complex gene circuits capable of processing information in living cells. Here, we review the current state of computational genetic circuits and describe artificial gene circuits that perform digital and analog computation. We then discuss recent progress in designing gene networks that exhibit memory, and how memory and computation have been integrated to yield more complex systems that can both process and record information. Finally, we suggest new directions for engineering biological circuits capable of computation. National Institutes of Health (U.S.) (1DP2OD008435) National Institutes of Health (U.S.) (1P50GM098792) National Science Foundation (U.S.) (1124247) United States. Defense Advanced Research Projects Agency Ellison Medical Foundation United States. Office of Naval Research (N00014-11-1-0725) United States. Office of Naval Research (N00014-11-1-0687) United States. Office of Naval Research (N00014-13-1-0424) United States. Army Research Office (W911NF-11-1-0281) United States. Office of Naval Research. Presidential Early Career Award for Scientists and Engineers (W911NF-11-1-0281) 2014-09-24T20:08:20Z 2014-09-24T20:08:20Z 2014-05 Article http://purl.org/eprint/type/JournalArticle 09581669 http://hdl.handle.net/1721.1/90331 Purcell, Oliver, and Timothy K Lu. “Synthetic Analog and Digital Circuits for Cellular Computation and Memory.” Current Opinion in Biotechnology 29 (October 2014): 146–155. https://orcid.org/0000-0002-9999-6690 https://orcid.org/0000-0002-2031-8871 en_US http://dx.doi.org/10.1016/j.copbio.2014.04.009 Current Opinion in Biotechnology Article is available under a Creative Commons license; see publisher's site for details. http://creativecommons.org/ application/pdf Elsevier Elsevier Open Access |
| spellingShingle | Purcell, Oliver Lu, Timothy K. Synthetic analog and digital circuits for cellular computation and memory |
| title | Synthetic analog and digital circuits for cellular computation and memory |
| title_full | Synthetic analog and digital circuits for cellular computation and memory |
| title_fullStr | Synthetic analog and digital circuits for cellular computation and memory |
| title_full_unstemmed | Synthetic analog and digital circuits for cellular computation and memory |
| title_short | Synthetic analog and digital circuits for cellular computation and memory |
| title_sort | synthetic analog and digital circuits for cellular computation and memory |
| url | http://hdl.handle.net/1721.1/90331 https://orcid.org/0000-0002-9999-6690 https://orcid.org/0000-0002-2031-8871 |
| work_keys_str_mv | AT purcelloliver syntheticanaloganddigitalcircuitsforcellularcomputationandmemory AT lutimothyk syntheticanaloganddigitalcircuitsforcellularcomputationandmemory |