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Precision metabolic engineering: The design of responsive, selective, and controllable metabolic systems

期刊

METABOLIC ENGINEERING
卷 31, 期 -, 页码 123-131

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymben.2015.06.011

关键词

Precision metabolic engineering; Metabolic control; Sensory systems; Pathway regulation; Product selectivity; Synthetic biology

资金

  1. Bill & Melinda Gates Foundation [OPP1046289]
  2. National Science Foundation, United States [1254382]
  3. National Institutes of Health, United States [T32-EB0064343]
  4. Div Of Molecular and Cellular Bioscience
  5. Direct For Biological Sciences [1254382] Funding Source: National Science Foundation
  6. Bill and Melinda Gates Foundation [OPP1046289] Funding Source: Bill and Melinda Gates Foundation

向作者/读者索取更多资源

Metabolic engineering is generally focused on static optimization of cells to maximize production of a desired product, though recently dynamic metabolic engineering has explored how metabolic programs can be varied over time to improve titer. However, these are not the only types of applications where metabolic engineering could make a significant impact. Here, we discuss a new conceptual framework, termed ''precision metabolic engineering, involving the design and engineering of systems that make different products in response to different signals. Rather than focusing on maximizing titer, these types of applications typically have three hallmarks: sensing signals that determine the desired metabolic target, completely directing metabolic flux in response to those signals, and producing sharp responses at specific signal thresholds. In this review, we will first discuss and provide examples of precision metabolic engineering. We will then discuss each of these hallmarks and identify which existing metabolic engineering methods can be applied to accomplish those tasks, as well as some of their shortcomings. Ultimately, precise control of metabolic systems has the potential to enable a host of new metabolic engineering and synthetic biology applications for any problem where flexibility of response to an external signal could be useful. (C) 2015 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

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