Literature DB >> 23654274

Retroactivity controls the temporal dynamics of gene transcription.

Shridhar Jayanthi1, Kayzad Soli Nilgiriwala, Domitilla Del Vecchio.   

Abstract

Just like in many engineering systems, impedance-like effects, called retroactivity, arise at the interconnection of biomolecular circuits, leading to unexpected changes in a circuit's behavior. In this paper, we provide a combined experimental and theoretical study to characterize the effects of retroactivity on the temporal dynamics of a gene transcription module in vivo. The response of the module to an inducer was measured both in isolation and when the module was connected to downstream clients. The connected module, when compared to the isolated module, responded selectively to the introduction of the inducer versus its withdrawal. Specifically, a "sign-sensitive delay" appeared, in which the connected module displayed a time delay in the response to induction and anticipation in the response to de-induction. The extent of these effects can be made larger by increasing the amounts of downstream clients and/or their binding affinity to the output protein of the module. Our experimental results and mathematical formulas make it possible to predict the extent of the change in the dynamic behavior of a module after interconnection. They can be employed to both recover the predictive power of a modular approach to understand systems or as an additional design tool to shape the temporal behavior of gene transcription.

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Year:  2013        PMID: 23654274     DOI: 10.1021/sb300098w

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  47 in total

1.  A Practical Step-by-Step Guide for Quantifying Retroactivity in Gene Networks.

Authors:  Andras Gyorgy
Journal:  Methods Mol Biol       Date:  2021

2.  Paradoxical results in perturbation-based signaling network reconstruction.

Authors:  Sudhakaran Prabakaran; Jeremy Gunawardena; Eduardo Sontag
Journal:  Biophys J       Date:  2014-06-17       Impact factor: 4.033

3.  Optogenetic characterization methods overcome key challenges in synthetic and systems biology.

Authors:  Evan J Olson; Jeffrey J Tabor
Journal:  Nat Chem Biol       Date:  2014-07       Impact factor: 15.040

Review 4.  Biotechnological domestication of pseudomonads using synthetic biology.

Authors:  Pablo I Nikel; Esteban Martínez-García; Víctor de Lorenzo
Journal:  Nat Rev Microbiol       Date:  2014-05       Impact factor: 60.633

Review 5.  Control theory meets synthetic biology.

Authors:  Domitilla Del Vecchio; Aaron J Dy; Yili Qian
Journal:  J R Soc Interface       Date:  2016-07-20       Impact factor: 4.118

Review 6.  Principles of genetic circuit design.

Authors:  Jennifer A N Brophy; Christopher A Voigt
Journal:  Nat Methods       Date:  2014-05       Impact factor: 28.547

Review 7.  Synthetic Biological Circuits within an Orthogonal Central Dogma.

Authors:  Alan Costello; Ahmed H Badran
Journal:  Trends Biotechnol       Date:  2020-06-22       Impact factor: 19.536

8.  A technique for determining the signs of sensitivities of steady states in chemical reaction networks.

Authors:  Eduardo D Sontag
Journal:  IET Syst Biol       Date:  2014-12       Impact factor: 1.615

Review 9.  How to train your microbe: methods for dynamically characterizing gene networks.

Authors:  Sebastian M Castillo-Hair; Oleg A Igoshin; Jeffrey J Tabor
Journal:  Curr Opin Microbiol       Date:  2015-02-10       Impact factor: 7.934

10.  Engineered dCas9 with reduced toxicity in bacteria: implications for genetic circuit design.

Authors:  Shuyi Zhang; Christopher A Voigt
Journal:  Nucleic Acids Res       Date:  2018-11-16       Impact factor: 16.971

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