Literature DB >> 26331264

Exploring the Dynamics and Mutational Landscape of Riboregulation with a Minimal Synthetic Circuit in Living Cells.

Guillermo Rodrigo1, Eszter Majer2, Satya Prakash3, José-Antonio Daròs2, Alfonso Jaramillo4, Juan F Poyatos5.   

Abstract

The regulation of gene expression, triggered by conformational changes in RNA molecules, is widely observed in cellular systems. Here, we examine this mode of control by means of a model-based design and construction of a fully synthetic riboregulatory device. We present a theoretical framework that rests on a simple energy model to predict the dynamic response of such a system. Following an equilibrium description, our framework integrates thermodynamic properties—anticipated with an RNA physicochemical model—with a detailed description of the intermolecular interaction. The theoretical calculations are confirmed with an experimental characterization of the action of the riboregulatory device within living cells. This illustrates, more broadly, the predictability of genetic robustness on synthetic systems, and the faculty to engineer gene expression programs from a minimal set of first principles.
Copyright © 2015 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26331264      PMCID: PMC4564674          DOI: 10.1016/j.bpj.2015.07.021

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  31 in total

1.  Model-driven engineering of RNA devices to quantitatively program gene expression.

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Review 2.  The evolutionary significance of cis-regulatory mutations.

Authors:  Gregory A Wray
Journal:  Nat Rev Genet       Date:  2007-03       Impact factor: 53.242

Review 3.  A new frontier in synthetic biology: automated design of small RNA devices in bacteria.

Authors:  Guillermo Rodrigo; Thomas E Landrain; Shensi Shen; Alfonso Jaramillo
Journal:  Trends Genet       Date:  2013-07-23       Impact factor: 11.639

Review 4.  Macromolecular modeling with rosetta.

Authors:  Rhiju Das; David Baker
Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

5.  RNA folding and combinatory landscapes.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1993-03

6.  Regulating the many to benefit the few: role of weak small RNA targets.

Authors:  Daniel Jost; Andrzej Nowojewski; Erel Levine
Journal:  Biophys J       Date:  2013-04-16       Impact factor: 4.033

7.  Predictive and interpretive simulation of green fluorescent protein expression in reporter bacteria.

Authors:  J H Leveau; S E Lindow
Journal:  J Bacteriol       Date:  2001-12       Impact factor: 3.490

8.  Direct comparison of small RNA and transcription factor signaling.

Authors:  Razika Hussein; Han N Lim
Journal:  Nucleic Acids Res       Date:  2012-05-22       Impact factor: 16.971

9.  Design principles for ligand-sensing, conformation-switching ribozymes.

Authors:  Xi Chen; Andrew D Ellington
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

10.  Quantitative characteristics of gene regulation by small RNA.

Authors:  Erel Levine; Zhongge Zhang; Thomas Kuhlman; Terence Hwa
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

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  3 in total

1.  Model-based design of RNA hybridization networks implemented in living cells.

Authors:  Guillermo Rodrigo; Satya Prakash; Shensi Shen; Eszter Majer; José-Antonio Daròs; Alfonso Jaramillo
Journal:  Nucleic Acids Res       Date:  2017-09-19       Impact factor: 16.971

2.  Binary addition in a living cell based on riboregulation.

Authors:  Arantxa Rosado; Teresa Cordero; Guillermo Rodrigo
Journal:  PLoS Genet       Date:  2018-07-19       Impact factor: 5.917

3.  Probing the operability regime of an engineered ribocomputing unit in terms of dynamic range maintenance with extracellular changes and time.

Authors:  Roser Montagud-Martínez; Jordi Ventura; Rafael Ballesteros-Garrido; Arantxa Rosado; Guillermo Rodrigo
Journal:  J Biol Eng       Date:  2020-03-26       Impact factor: 4.355

  3 in total

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