The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Quantifying cellular capacity identifies gene expression designs with reduced burden
Open accessAbstract
Heterologous gene expression can be a significant burden for cells. Here we describe an in vivo monitor that tracks changes in the capacity of Escherichia coli in real time and can be used to assay the burden imposed by synthetic constructs and their parts. We identify construct designs with reduced burden that predictably outperformed less efficient designs, despite having equivalent output.
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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
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Riglar, D. T., Giessen, T. W., Baym, M., Kerns, S. J., Niederhuber, M. J., Bronson, R. T., Kotula, J. W., Gerber, G. K., Way, J. C., & Silver, P. A. (2017) · Nature Biotechnology · doi:10.1038/nbt.3879 · Cited by 426
Control theory meets synthetic biology
Del Vecchio, D., Dy, A. J., & Qian, Y. (2016) · Journal of The Royal Society Interface · doi:10.1098/rsif.2016.0380 · Cited by 283
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Taylor, G. M., Mordaka, P. M., & Heap, J. T. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1182 · Cited by 91
Agent-based modelling in synthetic biology
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Gene silencing with CRISPRi in bacteria and optimization of dCas9 expression levels
Depardieu, F., & Bikard, D. (2020) · Methods · doi:10.1016/j.ymeth.2019.07.024 · Cited by 86
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Metadata
- Authors
- Ceroni, F., Algar, R., Stan, G.-B., & Ellis, T.
- Venue
- Nature Methods
- Published
- 2015-04-06
- Volume
- 12
- Issue
- 5
- Pages
- 415-418
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W1966645118
- Cited by
- 484
- References
- 44
- FWCI
- 16.85
- Type
- journal article
- Language
- en
- Open access
- green
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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.
