| Literature DB >> 26322736 |
Allison Hoynes-O'Connor1, Tae Seok Moon2.
Abstract
Synthetic biology has the potential to provide decisive advances in genetic control of metabolic pathways. However, there are several challenges that synthetic biologists must overcome before this vision becomes a reality. First, a library of diverse and well-characterized sensors, such as metabolite-sensing or condition-sensing promoters, must be constructed. Second, robust programmable circuits that link input conditions with a specific gene regulation response must be developed. Finally, multi-gene targeting strategies must be integrated with metabolically relevant sensors and complex, robust logic. Achievements in each of these areas, which employ the CRISPR/Cas system, in silico modeling, and dynamic sensor-regulators, among other tools, provide a strong basis for future research. Overall, the future for synthetic biology approaches in metabolic engineering holds immense promise.Mesh:
Year: 2015 PMID: 26322736 DOI: 10.1016/j.copbio.2015.08.007
Source DB: PubMed Journal: Curr Opin Biotechnol ISSN: 0958-1669 Impact factor: 9.740