Literature DB >> 26674196

Design of a bistable switch to control cellular uptake.

Diego A Oyarzún1, Madalena Chaves2.   

Abstract

Bistable switches are widely used in synthetic biology to trigger cellular functions in response to environmental signals. All bistable switches developed so far, however, control the expression of target genes without access to other layers of the cellular machinery. Here, we propose a bistable switch to control the rate at which cells take up a metabolite from the environment. An uptake switch provides a new interface to command metabolic activity from the extracellular space and has great potential as a building block in more complex circuits that coordinate pathway activity across cell cultures, allocate metabolic tasks among different strains or require cell-to-cell communication with metabolic signals. Inspired by uptake systems found in nature, we propose to couple metabolite import and utilization with a genetic circuit under feedback regulation. Using mathematical models and analysis, we determined the circuit architectures that produce bistability and obtained their design space for bistability in terms of experimentally tuneable parameters. We found an activation-repression architecture to be the most robust switch because it displays bistability for the largest range of design parameters and requires little fine-tuning of the promoters' response curves. Our analytic results are based on on-off approximations of promoter activity and are in excellent qualitative agreement with simulations of more realistic models. With further analysis and simulation, we established conditions to maximize the parameter design space and to produce bimodal phenotypes via hysteresis and cell-to-cell variability. Our results highlight how mathematical analysis can drive the discovery of new circuits for synthetic biology, as the proposed circuit has all the hallmarks of a toggle switch and stands as a promising design to control metabolic phenotypes across cell cultures.
© 2015 The Author(s).

Keywords:  bistability; cellular uptake; dynamic metabolic engineering; genetic circuits; piecewise affine models; synthetic biology

Mesh:

Year:  2015        PMID: 26674196      PMCID: PMC4707844          DOI: 10.1098/rsif.2015.0618

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  59 in total

1.  Construction of a genetic toggle switch in Escherichia coli.

Authors:  T S Gardner; C R Cantor; J J Collins
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  Development of genetic circuitry exhibiting toggle switch or oscillatory behavior in Escherichia coli.

Authors:  Mariette R Atkinson; Michael A Savageau; Jesse T Myers; Alexander J Ninfa
Journal:  Cell       Date:  2003-05-30       Impact factor: 41.582

Review 3.  Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell.

Authors:  John J Tyson; Katherine C Chen; Bela Novak
Journal:  Curr Opin Cell Biol       Date:  2003-04       Impact factor: 8.382

4.  Multistability in the lactose utilization network of Escherichia coli.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Han N Lim; Boris I Shraiman; Alexander Van Oudenaarden
Journal:  Nature       Date:  2004-02-19       Impact factor: 49.962

5.  Qualitative simulation of genetic regulatory networks using piecewise-linear models.

Authors:  Hidde De Jong; Jean-Luc Gouzé; Céline Hernandez; Michel Page; Tewfik Sari; Johannes Geiselmann
Journal:  Bull Math Biol       Date:  2004-03       Impact factor: 1.758

6.  Enhancement of cellular memory by reducing stochastic transitions.

Authors:  Murat Acar; Attila Becskei; Alexander van Oudenaarden
Journal:  Nature       Date:  2005-05-12       Impact factor: 49.962

7.  An amplified sensitivity arising from covalent modification in biological systems.

Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

8.  A synthetic gene-metabolic oscillator.

Authors:  Eileen Fung; Wilson W Wong; Jason K Suen; Thomas Bulter; Sun-gu Lee; James C Liao
Journal:  Nature       Date:  2005-05-05       Impact factor: 49.962

9.  On the relation between effector concentration and the rate of induced enzyme synthesis.

Authors:  G Yagil; E Yagil
Journal:  Biophys J       Date:  1971-01       Impact factor: 4.033

10.  Tuning promoter strength through RNA polymerase binding site design in Escherichia coli.

Authors:  Robert C Brewster; Daniel L Jones; Rob Phillips
Journal:  PLoS Comput Biol       Date:  2012-12-13       Impact factor: 4.475

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  7 in total

1.  Dynamic metabolic control: towards precision engineering of metabolism.

Authors:  Di Liu; Ahmad A Mannan; Yichao Han; Diego A Oyarzún; Fuzhong Zhang
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3.  Designing an irreversible metabolic switch for scalable induction of microbial chemical production.

Authors:  Ahmad A Mannan; Declan G Bates
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4.  Branch point control at malonyl-CoA node: A computational framework to uncover the design principles of an ideal genetic-metabolic switch.

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Journal:  Metab Eng Commun       Date:  2020-04-24

5.  Stochastic modelling reveals mechanisms of metabolic heterogeneity.

Authors:  Mona K Tonn; Philipp Thomas; Mauricio Barahona; Diego A Oyarzún
Journal:  Commun Biol       Date:  2019-03-21

6.  Modular, robust, and extendible multicellular circuit design in yeast.

Authors:  Alberto Carignano; Dai Hua Chen; Cannon Mallory; R Clay Wright; Georg Seelig; Eric Klavins
Journal:  Elife       Date:  2022-03-21       Impact factor: 8.713

Review 7.  Dynamic control in metabolic engineering: Theories, tools, and applications.

Authors:  Christopher J Hartline; Alexander C Schmitz; Yichao Han; Fuzhong Zhang
Journal:  Metab Eng       Date:  2020-09-11       Impact factor: 9.783

  7 in total

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