Literature DB >> 33834762

Dynamic Control of Gene Expression with Riboregulated Switchable Feedback Promoters.

Cameron J Glasscock1,2,3, Bradley W Biggs2,3, John T Lazar2,3, Jack H Arnold2,3, Lisa A Burdette2,3,4, Aliki Valdes2,3, Min-Kyoung Kang2,3, Danielle Tullman-Ercek2,3, Keith E J Tyo2,3, Julius B Lucks2,3.   

Abstract

One major challenge in synthetic biology is the deleterious impacts of cellular stress caused by expression of heterologous pathways, sensors, and circuits. Feedback control and dynamic regulation are broadly proposed strategies to mitigate this cellular stress by optimizing gene expression levels temporally and in response to biological cues. While a variety of approaches for feedback implementation exist, they are often complex and cannot be easily manipulated. Here, we report a strategy that uses RNA transcriptional regulators to integrate additional layers of control over the output of natural and engineered feedback responsive circuits. Called riboregulated switchable feedback promoters (rSFPs), these gene expression cassettes can be modularly activated using multiple mechanisms, from manual induction to autonomous quorum sensing, allowing control over the timing, magnitude, and autonomy of expression. We develop rSFPs in Escherichia coli to regulate multiple feedback networks and apply them to control the output of two metabolic pathways. We envision that rSFPs will become a valuable tool for flexible and dynamic control of gene expression in metabolic engineering, biological therapeutic production, and many other applications.

Entities:  

Keywords:  RNA; feedback; gene regulation; isoprenoids; metabolic engineering; quorum-sensing

Mesh:

Substances:

Year:  2021        PMID: 33834762      PMCID: PMC8141045          DOI: 10.1021/acssynbio.1c00015

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


  63 in total

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6.  Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements.

Authors:  R Lutz; H Bujard
Journal:  Nucleic Acids Res       Date:  1997-03-15       Impact factor: 16.971

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Journal:  Mol Microbiol       Date:  2002-06       Impact factor: 3.501

8.  ePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathways.

Authors:  J Andrew Jones; Victoria R Vernacchio; Daniel M Lachance; Matthew Lebovich; Li Fu; Abhijit N Shirke; Victor L Schultz; Brady Cress; Robert J Linhardt; Mattheos A G Koffas
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9.  Automated design of synthetic ribosome binding sites to control protein expression.

Authors:  Howard M Salis; Ethan A Mirsky; Christopher A Voigt
Journal:  Nat Biotechnol       Date:  2009-10-04       Impact factor: 54.908

10.  Differential regulation of the Tn10-encoded tetracycline resistance genes tetA and tetR by the tandem tet operators O1 and O2.

Authors:  I Meier; L V Wray; W Hillen
Journal:  EMBO J       Date:  1988-02       Impact factor: 11.598

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