The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Genetic circuit design automation
Abstract
Programming circuitry for synthetic biology: As synthetic biology techniques become more powerful, researchers are anticipating a future in which the design of biological circuits will be similar to the design of integrated circuits in electronics. Nielsen et al. describe what is essentially a programming language to design computational circuits in living cells. The circuits generated on plasmids expressed in Escherichia coli required careful insulation from their genetic context, but primarily functioned as specified. The circuits could, for example, regulate cellular functions in response to multiple environmental signals. Such a strategy can facilitate the development of more complex circuits by genetic engineering. Science , this issue p. 10.1126/science.aac7341
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Cites
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Cited by
Engineering bacteria for diagnostic and therapeutic applications
Riglar, D. T., & Silver, P. A. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.172 · Cited by 460
Synthetic DNA Synthesis and Assembly: Putting the Synthetic in Synthetic Biology
Hughes, R. A., & Ellington, A. D. (2017) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a023812 · Cited by 411
An Automated Model Test System for Systematic Development and Improvement of Gene Expression Models
Reis, A. C., & Salis, H. M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00394 · Cited by 166
A user’s guide to golden gate cloning methods and standards
Bird, J. E., Marles-Wright, J., & Giachino, A. (2022) · ACS Synthetic Biology · doi:10.1021/acssynbio.2c00355 · Cited by 135
Emerging Species and Genome Editing Tools: Future Prospects in Cyanobacterial Synthetic Biology
Gale, G. A. R., Schiavon Osorio, A. A., Mills, L. A., Wang, B., Lea-Smith, D. J., & McCormick, A. J. (2019) · Microorganisms · doi:10.3390/microorganisms7100409 · Cited by 61
Metadata
- Authors
- Nielsen, A. A. K., Der, B. S., Shin, J., Vaidyanathan, P., Paralanov, V., Strychalski, E. A., Ross, D., Densmore, D., & Voigt, C. A.
- Venue
- Science
- Published
- 2016-04
- Volume
- 352
- Issue
- 6281
- Pages
- aac7341-aac7341
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2330245166
- Cited by
- 1,020
- References
- 90
- FWCI
- 52.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nielsen, A. A. K., Der, B. S., Shin, J., Vaidyanathan, P., Paralanov, V., Strychalski, E. A., Ross, D., Densmore, D., & Voigt, C. A. (2016). Genetic circuit design automation. Science. https://doi.org/10.1126/science.aac7341
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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.
