Title |
Rule-Based Design of Synthetic Transcription Factors in Eukaryotes
|
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Published in |
ACS Synthetic Biology, January 2014
|
DOI | 10.1021/sb400134k |
Pubmed ID | |
Authors |
Oliver Purcell, Jean Peccoud, Timothy K. Lu |
Abstract |
To design and build living systems, synthetic biologists have at their disposal an increasingly large library of naturally derived and synthetic parts. These parts must be combined together in particular orders, orientations, and spacings to achieve desired functionalities. These structural constraints can be viewed as grammatical rules describing how to assemble parts together into larger functional units. Here, we develop a grammar for the design of synthetic transcription factors (sTFs) in eukaryotic cells and implement it within GenoCAD, a Computer-Aided Design (CAD) software for synthetic biology. Knowledge derived from experimental evidence was captured in this grammar to guide the user to create designer transcription factors that should operate as intended. The grammar can be easily updated and refined as our experience with using sTFs in different contexts increases. In combination with grammars that define other synthetic systems, we anticipate that this work will enable the more reliable, efficient, and automated design of synthetic cells with rich functionalities. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 6 | 5% |
Sweden | 1 | <1% |
Belgium | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
China | 1 | <1% |
Unknown | 102 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 28% |
Student > Ph. D. Student | 26 | 23% |
Student > Bachelor | 18 | 16% |
Student > Master | 10 | 9% |
Professor | 4 | 4% |
Other | 11 | 10% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 46% |
Biochemistry, Genetics and Molecular Biology | 23 | 20% |
Immunology and Microbiology | 5 | 4% |
Engineering | 5 | 4% |
Chemistry | 5 | 4% |
Other | 8 | 7% |
Unknown | 15 | 13% |