Literature DB >> 25616051

Engineering metabolism through dynamic control.

Naveen Venayak1, Nikolaos Anesiadis1, William R Cluett1, Radhakrishnan Mahadevan2.   

Abstract

Metabolic engineering has proven crucial for the microbial production of valuable chemicals. Due to the rapid development of tools in synthetic biology, there has been recent interest in the dynamic regulation of flux through metabolic pathways to overcome some of the issues arising from traditional strategies lacking dynamic control. There are many diverse implementations of dynamic control, with a range of metabolite sensors and inducers being used. Furthermore, control has been implemented at the transcriptional, translational and post-translational levels. Each of these levels have unique sets of engineering tools, and allow for control at different dynamic time-scales. In order to extend the applications of dynamic control, new tools are required to improve the dynamics of regulatory circuits. Further study and characterization of circuit robustness is also needed to improve their applicability to industry. The successful implementation of dynamic control, using technologies that are amenable to commercialization, will be a fundamental step in advancing metabolic engineering.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2015        PMID: 25616051     DOI: 10.1016/j.copbio.2014.12.022

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  47 in total

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3.  Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks.

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4.  Optimal control of bacterial growth for the maximization of metabolite production.

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Journal:  J Math Biol       Date:  2018-10-17       Impact factor: 2.259

Review 5.  Incorporation of nonstandard amino acids into proteins: principles and applications.

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Journal:  World J Microbiol Biotechnol       Date:  2020-04-08       Impact factor: 3.312

6.  Improvement of glucose uptake rate and production of target chemicals by overexpressing hexose transporters and transcriptional activator Gcr1 in Saccharomyces cerevisiae.

Authors:  Daehee Kim; Ji-Yoon Song; Ji-Sook Hahn
Journal:  Appl Environ Microbiol       Date:  2015-10-02       Impact factor: 4.792

7.  Precise control of lycopene production to enable a fast-responding, minimal-equipment biosensor.

Authors:  Monica P McNerney; Mark P Styczynski
Journal:  Metab Eng       Date:  2017-08-05       Impact factor: 9.783

8.  In vivo biosensors: mechanisms, development, and applications.

Authors:  Shuobo Shi; Ee Lui Ang; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

9.  Development of novel metabolite-responsive transcription factors via transposon-mediated protein fusion.

Authors:  Andrew K D Younger; Peter Y Su; Andrea J Shepard; Shreya V Udani; Thaddeus R Cybulski; Keith E J Tyo; Joshua N Leonard
Journal:  Protein Eng Des Sel       Date:  2018-02-01       Impact factor: 1.650

Review 10.  Precision metabolic engineering: The design of responsive, selective, and controllable metabolic systems.

Authors:  Monica P McNerney; Daniel M Watstein; Mark P Styczynski
Journal:  Metab Eng       Date:  2015-07-17       Impact factor: 9.783

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