The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
ePathBrick: A Synthetic Biology Platform for Engineering Metabolic Pathways in E. coli
Abstract
Harnessing cell factories for producing biofuel and pharmaceutical molecules has stimulated efforts to develop novel synthetic biology tools customized for modular pathway engineering and optimization. Here we report the development of a set of vectors compatible with BioBrick standards and its application in metabolic engineering. The engineered ePathBrick vectors comprise four compatible restriction enzyme sites allocated on strategic positions so that different regulatory control signals can be reused and manipulation of expression cassette can be streamlined. Specifically, these vectors allow for fine-tuning gene expression by integrating multiple transcriptional activation or repression signals into the operator region. At the same time, ePathBrick vectors support the modular assembly of pathway components and combinatorial generation of pathway diversities with three distinct configurations. We also demonstrated the functionality of a seven-gene pathway (~9 Kb) assembled on one single ePathBrick vector. The ePathBrick vectors presented here provide a versatile platform for rapid design and optimization of metabolic pathways in E. coli.
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Enzymatic assembly of DNA molecules up to several hundred kilobases
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Automated design of synthetic ribosome binding sites to control protein expression
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Isoprenoid Pathway Optimization for Taxol Precursor Overproduction in Escherichia coli
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Synthetic protein scaffolds provide modular control over metabolic flux
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Synthetic biology: new engineering rules for an emerging discipline
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Harnessing homologous recombination in vitro to generate recombinant DNA via SLIC
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Engineering BioBrick vectors from BioBrick parts
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Wu, G., Yan, Q., Jones, J. A., Tang, Y. J., Fong, S. S., & Koffas, M. A. G. (2016) · Trends in Biotechnology · doi:10.1016/j.tibtech.2016.02.010 · Cited by 666
Self-citationXu, P., Qiao, K., Ahn, W. S., & Stephanopoulos, G. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607295113 · Cited by 441
Self-citationProspective and development of butanol as an advanced biofuel
Xue, C., Zhao, X.-Q., Liu, C.-G., Chen, L.-J., & Bai, F.-W. (2013) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.08.004 · Cited by 259
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Dvorak, P., Chrast, L., Nikel, P. I., Fedr, R., Soucek, K., Sedlackova, M., Chaloupkova, R., de Lorenzo, V., Prokop, Z., & Damborsky, J. (2015) · Microbial Cell Factories · doi:10.1186/s12934-015-0393-3 · Cited by 252
Metadata
- Authors
- Xu, P., Vansiri, A., Bhan, N., & Koffas, M. A. G.
- Venue
- ACS Synthetic Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-05-04
- Volume
- 1
- Issue
- 7
- Pages
- 256-266
- ISSN
- 2161-5063 (ISSN-L)
- OpenAlex
- W2037630877
- Cited by
- 255
- References
- 53
- FWCI
- 6.27
- Type
- journal article
- Language
- en
- Open access
- closed
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