Programming an in vitro DNA oscillator using a molecular networking strategy
By Kevin Montagne, Raphaël Plasson, Yasuyuki Sakai, Teruo Fujii, Yannick Rondelez. Molecular Systems Biology, 2011
309 citations recorded by the source corpus.
Living organisms perform and control complex behaviours by using webs of chemical reactions organized in precise networks. This powerful system concept, which is at the very core of biology, has recently become a new foundation for bioengineering. Remarkably, however, it is still extremely difficult to rationally create such network architectures in artificial, non‐living and well‐controlled settings. We introduce here a method for such a purpose, on the basis of standard DNA biochemistry. This approach is demonstrated by assembling de novo an efficient chemical oscillator: we encode the wiring of the corresponding network in the sequence of small DNA templates and obtain the predicted dynamics. Our results show that the rational cascading of standard elements opens the possibility to implement complex behaviours in vitro. Because of the simple and well‐controlled environment, the corresponding chemical network is easily amenable to quantitative mathematical analysis. These synthetic systems may thus accelerate our understanding of the underlying principles of biological dynamic modules.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/77f423a091233c2512e43528a97a6d997b17d9d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Georg Seelig
- Luca Cardelli
- Andrew Phillips
- David Soloveichik
- Neil Dalchau
- Niranjan Srinivas
- Yuan-Jyue Chen
- Vincent Danos
Citations in the corpus
- Programmable chemical controllers made from DNA (2013, background): “Bursts of culturalcomplexityduring thePalaeolithicera(2.6millionyearsagoto10thousandyearsago)and particularlyduringtheUpperPalaeolithictransition(45thousand yearsago)mayillustratedemographicprocesses,ratherthanchanges incognitiveabilities 5,23 .”