2017
DOI: 10.1038/nnano.2016.299
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Microscopic agents programmed by DNA circuits

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Cited by 125 publications
(152 citation statements)
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“…[1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transientv esicle, [19] droplet, [20] fibril and gel formation. [1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transi...…”
Section: Introductionmentioning
confidence: 99%
“…[1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transientv esicle, [19] droplet, [20] fibril and gel formation. [1] Examples of networks giving temporal, or spatiotemporal, control over the concentrations of the molecules in the system include the generation of wave fronts, [2] pattern formation with as o-calledg o-fetch model, [3] oscillations, [4][5][6][7][8] supramolecular oscillators [9] synchronisation and pattern formation with multiple oscillators through diffusional spatiotemporal coupling, [10] adaptive response networks, [11] systemss howing homeostasis, [12] self-replicating systems that can diversify into differents pecies, [13] self-replicators that can transiently form micelles, [14,15] temporally controlled material properties [16][17][18] and transi...…”
Section: Introductionmentioning
confidence: 99%
“…[1,2] Ak ey feature of these reaction networks is that function arises from the topology of the underlying network motifs, [3] which, in principle,o pens up opportunities for forward engineering of synthetic systems with similar properties.T he field of systems chemistry mimics the complexity of biological reaction networks within as ynthetic framework. [10] The past decade has seen the rapid development of synthetic nucleic-acid-based reaction networks based on genetic elements, [11][12][13][14] or toehold strand-displacement DNAn etworks. [10] The past decade has seen the rapid development of synthetic nucleic-acid-based reaction networks based on genetic elements, [11][12][13][14] or toehold strand-displacement DNAn etworks.…”
Section: Chemicalreactionnetworkdrivemanyofthekeyprocessesmentioning
confidence: 99%
“…Many new experiments are now possible in this area thanks to the continuous improvements in experimental techniques of manipulation of nucleic acids and enzymes in micro-fluidic devices. An example of such novel experimental systems are DNA reaction networks allowing for molecular programming and computing 2,3 . Furthermore, with high throughput sequencing techniques, it is now possible to obtain statistical information about mixtures of nucleic acid sequences with an accuracy and speed out of reach for other types of polymers.…”
Section: Introductionmentioning
confidence: 99%