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Genetic circuit design automation

Nielsen, Alec A. K. ; Der, Bryan S. ; Shin, Jonghyeon ; Vaidyanathan, Prashant ; Paralanov, Vanya ; Strychalski, Elizabeth A. ; Ross, David ; Densmore, Douglas ; Voigt, Christopher A.

Science (American Association for the Advancement of Science), 2016-04, Vol.352 (6281), p.53-53 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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Título:
Genetic circuit design automation
Autor: Nielsen, Alec A. K. ; Der, Bryan S. ; Shin, Jonghyeon ; Vaidyanathan, Prashant ; Paralanov, Vanya ; Strychalski, Elizabeth A. ; Ross, David ; Densmore, Douglas ; Voigt, Christopher A.
Assuntos: Algorithms ; Automation ; Base Pairing ; Base Sequence ; Biotechnology ; DNA - genetics ; E coli ; Engineering ; Escherichia coli - genetics ; Gene Regulatory Networks ; Genetic engineering ; Genetics ; Logical Thinking ; Plasmids ; Programming Languages ; RESEARCH ARTICLE SUMMARY ; Software ; Synthetic Biology
É parte de: Science (American Association for the Advancement of Science), 2016-04, Vol.352 (6281), p.53-53
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: Computation can be performed in living cells by DNA-encoded circuits that process sensory information and control biological functions. Their construction is time-intensive, requiring manual part assembly and balancing of regulator expression. We describe a design environment, Cello, in which a user writes Verilog code that is automatically transformed into a DNA sequence. Algorithms build a circuit diagram, assign and connect gates, and simulate performance. Reliable circuit design requires the insulation of gates from genetic context, so that they function identically when used in different circuits. We used Cello to design 60 circuits forEscherichia coli(880,000 base pairs of DNA), for which each DNA sequence was built as predicted by the software with no additional tuning. Of these, 45 circuits performed correctly in every output state (up to 10 regulators and 55 parts), and across all circuits 92% of the output states functioned as predicted. Design automation simplifies the incorporation of genetic circuits into biotechnology projects that require decision-making, control, sensing, or spatial organization.
Editor: United States: American Association for the Advancement of Science
Idioma: Inglês

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Genetic circuit design automation

Nielsen, Alec A. K. ; Der, Bryan S. ; Shin, Jonghyeon ; Vaidyanathan, Prashant ; Paralanov, Vanya ; Strychalski, Elizabeth A. ; Ross, David ; Densmore, Douglas ; Voigt, Christopher A.

United States: American Association for the Advancement of Science

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