The DOI matches its Crossref record; 209 of the 209 references it cites were found in a registry or an index.
Principles of genetic circuit design
Open accessAbstract
Cells navigate environments, communicate and build complex patterns by initiating gene expression in response to specific signals. Engineers seek to harness this capability to program cells to perform tasks or create chemicals and materials that match the complexity seen in nature. This Review describes new tools that aid the construction of genetic circuits. Circuit dynamics can be influenced by the choice of regulators and changed with expression 'tuning knobs'. We collate the failure modes encountered when assembling circuits, quantify their impact on performance and review mitigation efforts. Finally, we discuss the constraints that arise from circuits having to operate within a living cell. Collectively, better tools, well-characterized parts and a comprehensive understanding of how to compose circuits are leading to a breakthrough in the ability to program living cells for advanced applications, from living therapeutics to the atomic manufacturing of functional materials.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Items 201–209 of 209
Sleight, S. C., & Sauro, H. M. (2013) · ACS Synthetic Biology · doi:10.1021/sb4000542 · Cited by 27
Biomolecular resource utilization in elementary cell-free gene circuits
Siegal‐Gaskins, D., Noireaux, V., & Murray, R. M. (2013) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2013.6580053 · Cited by 25
Davidson, E. A., Meyer, A. J., Ellefson, J. W., Levy, M., & Ellington, A. D. (2012) · ACS Synthetic Biology · doi:10.1021/sb3000113 · Cited by 21
A Data-Driven Framework for Identifying Nonlinear Dynamic Models of Genetic Parts
Krishnanathan, K., Anderson, S., Billings, S. A., & Kadirkamanathan, V. (2012) · ACS Synthetic Biology · doi:10.1021/sb300009t · Cited by 19
A Synthetic Post-transcriptional Controller To Explore the Modular Design of Gene Circuits
Ceroni, F., Furini, S., Stefan, A., et al. (2012) · ACS Synthetic Biology · doi:10.1021/sb200021s · Cited by 18
Modular Design of a Synthetic Payload Delivery Device
Huh, J. H., Kittleson, J. T., Arkin, A. P., & Anderson, J. C. (2013) · ACS Synthetic Biology · doi:10.1021/sb300107h · Cited by 18
2ab assembly: a methodology for automatable, high-throughput assembly of standard biological parts
Leguía, M., Brophy, J. A. N., Densmore, D. M., Asante, A., & Anderson, J. C. (2013) · Journal of Biological Engineering · doi:10.1186/1754-1611-7-2 · Cited by 17
Self-citationJonnalagadda, S. B., Becker, J. U., Sel'kov, E. E., & Betz, A. (1982) · Biosystems · doi:10.1016/0303-2647(82)90016-8 · Cited by 6
Peacock, R. W. S., Sullivan, K. A., & Wang, C. L. (2012) · ACS Synthetic Biology · doi:10.1021/sb200029a · Cited by 5
Cited by
Large-scale de novo DNA synthesis: technologies and applications
Kosuri, S., & Church, G. M. (2014) · Nature Methods · doi:10.1038/nmeth.2918 · Cited by 869
Directed Evolution: Methodologies and Applications
Wang, Y., Xue, P., Cao, M., Yu, T., Lane, S. T., & Zhao, H. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00260 · Cited by 719
An ingestible bacterial-electronic system to monitor gastrointestinal health
Mimee, M., Nadeau, P., Hayward, A., Carim, S., Flanagan, S., Jerger, L., Collins, J., McDonnell, S., Swartwout, R., Citorik, R. J., et al. (2018) · Science · doi:10.1126/science.aas9315 · Cited by 606
Synthetic Biology Tools to Engineer Microbial Communities for Biotechnology
McCarty, N. S., & Ledesma-Amaro, R. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2018.11.002 · Cited by 578
Engineered living biomaterials
Rodrigo-Navarro, A., Sankaran, S., Dalby, M. J., del Campo, A., & Salmeron-Sanchez, M. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00350-8 · Cited by 494
Metadata
- Authors
- Brophy, J. A. N., & Voigt, C. A.
- Venue
- Nature Methods
- Published
- 2014-04-29
- Volume
- 11
- Issue
- 5
- Pages
- 508-520
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2118464978
- Cited by
- 931
- References
- 209
- FWCI
- 26.40
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.