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Engineering dynamic pathway regulation using stress-response promoters

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TLDR
This paper applied whole-genome transcript arrays to identify promoters that respond to the accumulation of toxic intermediates, and then used these promoters to control accumulation of the intermediate and improve the final titers of a desired product.
Abstract
Heterologous pathways used in metabolic engineering may produce intermediates toxic to the cell. Dynamic control of pathway enzymes could prevent the accumulation of these metabolites, but such a strategy requires sensors, which are largely unknown, that can detect and respond to the metabolite. Here we applied whole-genome transcript arrays to identify promoters that respond to the accumulation of toxic intermediates, and then used these promoters to control accumulation of the intermediate and improve the final titers of a desired product. We apply this approach to regulate farnesyl pyrophosphate (FPP) production in the isoprenoid biosynthetic pathway in Escherichia coli. This strategy improved production of amorphadiene, the final product, by twofold over that from inducible or constitutive promoters, eliminated the need for expensive inducers, reduced acetate accumulation and improved growth. We extended this approach to another toxic intermediate to demonstrate the broad utility of identifying novel sensor-regulator systems for dynamic regulation.

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Journal ArticleDOI

Engineering Cellular Metabolism

TL;DR: How new technologies can enable metabolic engineering to be scaled up to the industrial level, either by cutting off the lines of control for endogenous metabolism or by infiltrating the system with disruptive, heterologous pathways that overcome cellular regulation is discussed.
Journal ArticleDOI

Principles of genetic circuit design

TL;DR: In this article, a review describes new tools that aid the construction of genetic circuits and discusses the failure modes encountered when assembling circuits, quantify their impact on performance, and review mitigation efforts.

Principles of genetic circuit design

TL;DR: Better tools, well-characterized parts and a comprehensive understanding of how to compose circuits are leading to a breakthrough in the ability to program living cells for advanced applications, from living therapeutics to the atomic manufacturing of functional materials.
Journal ArticleDOI

Improving fatty acids production by engineering dynamic pathway regulation and metabolic control

TL;DR: A genetically encoded metabolic switch that enables dynamic regulation of fatty acids (FA) biosynthesis in Escherichia coli was reported, able to dynamically compensate the critical enzymes involved in the supply and consumption of malonyl-CoA and efficiently redirect carbon flux toward FA biosynthesis.
Journal ArticleDOI

Metabolic Burden: Cornerstones in Synthetic Biology and Metabolic Engineering Applications

TL;DR: This work discusses cell physiological responses to metabolic burdens, as well as strategies to identify and resolve the carbon and energy burden problems, including metabolic balancing, enhancing respiration, dynamic regulatory systems, chromosomal engineering, decoupling cell growth with production phases, and co- utilization of nutrient resources.
References
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Journal ArticleDOI

Mono and diterpene production in Escherichia coli

TL;DR: Construction and functional expression of GGPP and GPP operons provides an in vivo precursor platform host for the future engineering of di‐ and monoterpene cyclases and the overproduction of terpenes in bacteria.
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A model for improving microbial biofuel production using a synthetic feedback loop.

TL;DR: A model for cell growth and biofuel production is developed and used to compare several genetic control strategies for their ability to improve biofuel yields and shows that controlling efflux pump expression directly with a biofuel-responsive promoter is a straightforward way of improving bio fuel production.
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SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis

TL;DR: SNOMAD is a collection of algorithms for the normalization and standardization of gene expression datasets derived from diverse biological and technological sources which correct for bias and variance which are non-uniformly distributed across the range of microarray element signal intensities.
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Cell-Specific and Conditional Expression of Caffeoyl-Coenzyme A-3-O-Methyltransferase in Poplar

TL;DR: The expression pattern conferred by the two CCoAOMT promoters when fused to the gus-coding sequence in transgenic poplar is described and may explain the heterogeneity in lignin composition that is observed between cell types and upon different environmental conditions.
Journal ArticleDOI

The in vivo synthesis of plant sesquiterpenes by Escherichia coli.

TL;DR: It is concluded that the limiting factor for sesquiterpene synthesis in E. coli is the poor expression of the cyclase enzyme and not supply of the FDP precursor.
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