The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology
Open accessAbstract
Modular and orthogonal genetic logic gates are essential for building robust biologically based digital devices to customize cell signalling in synthetic biology. Here we constructed an orthogonal AND gate in Escherichia coli using a novel hetero-regulation module from Pseudomonas syringae. The device comprises two co-activating genes hrpR and hrpS controlled by separate promoter inputs, and a σ54-dependent hrpL promoter driving the output. The hrpL promoter is activated only when both genes are expressed, generating digital-like AND integration behaviour. The AND gate is demonstrated to be modular by applying new regulated promoters to the inputs, and connecting the output to a NOT gate module to produce a combinatorial NAND gate. The circuits were assembled using a parts-based engineering approach of quantitative characterization, modelling, followed by construction and testing. The results show that new genetic logic devices can be engineered predictably from novel native orthogonal biological control elements using quantitatively in-context characterized parts. Biological digital sensors require the fabrication of modular genetic logic gates. Using thePseudomonas syringae hrpsystem, Wang and colleagues generate AND, NOT and NAND gates, demonstrating the ability to engineer a modular system from biological elements.
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Cites
The second wave of synthetic biology: from modules to systems
Purnick, P. E. M., & Weiss, R. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2698 · Cited by 1,181
An Introduction to Systems Biology: Design Principles of Biological Circuits
Alon, U. (2019) · doi:10.1201/9780429283321 · Cited by 955
Growth Rate-Dependent Global Effects on Gene Expression in Bacteria
Klumpp, S., Zhang, Z., & Hwa, T. (2009) · Cell · doi:10.1016/j.cell.2009.12.001 · Cited by 703
Next-generation synthetic gene networks
Lu, T. K., Khalil, A. S., & Collins, J. J. (2009) · Nature Biotechnology · doi:10.1038/nbt.1591 · Cited by 365
Cited by
Biomolecular computing systems: principles, progress and potential
Benenson, Y. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3197 · Cited by 373
ePathBrick: A Synthetic Biology Platform for Engineering Metabolic Pathways in E. coli
Xu, P., Vansiri, A., Bhan, N., & Koffas, M. A. G. (2012) · ACS Synthetic Biology · doi:10.1021/sb300016b · Cited by 255
Liu, Y., Zeng, Y., Liu, L., Zhuang, C., Fu, X., Huang, W., & Cai, Z. (2014) · Nature Communications · doi:10.1038/ncomms6393 · Cited by 223
Modeling somatic computation with non-neural bioelectric networks
Manicka, S., & Levin, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-54859-8 · Cited by 41
Directed evolution of hyperactive integrases for site specific insertion of transgenes
Hew, B. E., Gupta, S., Sato, R., Waller, D. F., Stoytchev, I., Short, J. E., Sharek, L., Tran, C. T., Badran, A. H., & Owens, J. B. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae534 · Cited by 35
Metadata
- Authors
- Wang, B., Kitney, R. I., Joly, N., & Buck, M.
- Venue
- Nature Communications
- Published
- 2011-10-18
- Volume
- 2
- Issue
- 1
- Pages
- 508-508
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2149778176
- Cited by
- 425
- References
- 4
- FWCI
- 12.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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