Literature DB >> 31239056

Evaluating riboswitch optimality.

Hannah Wayment-Steele1, Michelle Wu2, Michael Gotrik3, Rhiju Das4.   

Abstract

Riboswitches are RNA elements that recognize diverse chemical and biomolecular inputs, and transduce this recognition process to genetic, fluorescent, and other engineered outputs using RNA conformational changes. These systems are pervasive in cellular biology and are a promising biotechnology with applications in genetic regulation and biosensing. Here, we derive a simple expression bounding the activation ratio-the proportion of RNA in the active vs. inactive states-for both ON and OFF riboswitches that operate near thermodynamic equilibrium: 1+[I]/KdI, where [I] is the input ligand concentration and KdI is the intrinsic dissociation constant of the aptamer module toward the input ligand. A survey of published studies of natural and synthetic riboswitches confirms that the vast majority of empirically measured activation ratios have remained well below this thermodynamic limit. A few natural and synthetic riboswitches achieve activation ratios close to the limit, and these molecules highlight important principles for achieving high riboswitch performance. For several applications, including "light-up" fluorescent sensors and chemically-controlled CRISPR/Cas complexes, the thermodynamic limit has not yet been achieved, suggesting that current tools are operating at suboptimal efficiencies. Future riboswitch studies will benefit from comparing observed activation ratios to this simple expression for the optimal activation ratio. We present experimental and computational suggestions for how to make these quantitative comparisons and suggest new molecular mechanisms that may allow non-equilibrium riboswitches to surpass the derived limit.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aptamer; Biosensor; Genetic regulation; Optimality; RNA; Riboswitch; Thermodynamic model

Mesh:

Substances:

Year:  2019        PMID: 31239056     DOI: 10.1016/bs.mie.2019.05.028

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  4 in total

1.  RNA secondary structure packages evaluated and improved by high-throughput experiments.

Authors:  Hannah K Wayment-Steele; Wipapat Kladwang; Alexandra I Strom; Jeehyung Lee; Adrien Treuille; Alex Becka; Rhiju Das
Journal:  Nat Methods       Date:  2022-10-03       Impact factor: 47.990

Review 2.  Engineering synthetic RNA devices for cell control.

Authors:  Peter B Dykstra; Matias Kaplan; Christina D Smolke
Journal:  Nat Rev Genet       Date:  2022-01-04       Impact factor: 59.581

3.  Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.

Authors:  Johan O L Andreasson; Michael R Gotrik; Michelle J Wu; Hannah K Wayment-Steele; Wipapat Kladwang; Fernando Portela; Roger Wellington-Oguri; Rhiju Das; William J Greenleaf
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-26       Impact factor: 12.779

4.  Automated Design of Diverse Stand-Alone Riboswitches.

Authors:  Michelle J Wu; Johan O L Andreasson; Wipapat Kladwang; William Greenleaf; Rhiju Das
Journal:  ACS Synth Biol       Date:  2019-07-29       Impact factor: 5.110

  4 in total

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