The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Synthetic in vitro transcriptional oscillators
Open accessAbstract
The construction of synthetic biochemical circuits from simple components illuminates how complex behaviors can arise in chemistry and builds a foundation for future biological technologies. A simplified analog of genetic regulatory networks, in vitro transcriptional circuits, provides a modular platform for the systematic construction of arbitrary circuits and requires only two essential enzymes, bacteriophage T7 RNA polymerase and Escherichia coli ribonuclease H, to produce and degrade RNA signals. In this study, we design and experimentally demonstrate three transcriptional oscillators in vitro. First, a negative feedback oscillator comprising two switches, regulated by excitatory and inhibitory RNA signals, showed up to five complete cycles. To demonstrate modularity and to explore the design space further, a positive-feedback loop was added that modulates and extends the oscillatory regime. Finally, a three-switch ring oscillator was constructed and analyzed. Mathematical modeling guided the design process, identified experimental conditions likely to yield oscillations, and explained the system's robust response to interference by short degradation products. Synthetic transcriptional oscillators could prove valuable for systematic exploration of biochemical circuit design principles and for controlling nanoscale devices and orchestrating processes within artificial cells.
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Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
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Gutenkunst, R. N., Waterfall, J. J., Casey, F. P., Brown, K. S., Myers, C. R., & Sethna, J. P. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030189 · Cited by 1,261 · cited 3×
“Synthetic in vitro transcriptional oscillators”
A vesicle bioreactor as a step toward an artificial cell assembly
Noireaux, V., & Libchaber, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408236101 · Cited by 1,152
Design principles of biochemical oscillators
Novák, B., & Tyson, J. J. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2530 · Cited by 1,137
Benner, S. A., & Sismour, A. M. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1637 · Cited by 834
Smolen, P., Baxter, D. A., & Byrne, J. H. (1998) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1998.274.2.c531 · Cited by 185
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Materials learning from life: concepts for active, adaptive and autonomous molecular systems
Merindol, R., & Walther, A. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00738d · Cited by 533
Cell-free synthetic biology: Thinking outside the cell
Hodgman, C. E., & Jewett, M. C. (2012) · Metabolic Engineering · doi:10.1016/j.ymben.2011.09.002 · Cited by 425
Autocatalytic, bistable, oscillatory networks of biologically relevant organic reactions
Semenov, S. N., Kraft, L. J., Ainla, A., Zhao, M., Baghbanzadeh, M., Campbell, V. E., Kang, K., Fox, J. M., & Whitesides, G. M. (2016) · Nature · doi:10.1038/nature19776 · Cited by 350
Rational design of functional and tunable oscillating enzymatic networks
Semenov, S. N., Wong, A. S. Y., van der Made, R. M., Postma, S. G. J., Groen, J., van Roekel, H. W. H., de Greef, T. F. A., & Huck, W. T. S. (2015) · Nature Chemistry · doi:10.1038/nchem.2142 · Cited by 285
Programming an in vitro DNA oscillator using a molecular networking strategy
Montagne, K., Plasson, R., Sakai, Y., Fujii, T., & Rondelez, Y. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.120 · Cited by 286
Metadata
- Authors
- Kim, J., & Winfree, E.
- Venue
- Molecular Systems Biology
- Published
- 2011-01
- Volume
- 7
- Issue
- 1
- Pages
- 465-465
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2139771289
- Cited by
- 313
- References
- 7
- FWCI
- 11.87
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.