Literature DB >> 29985608

Predicting Cotranscriptional Folding Kinetics For Riboswitch.

Ting-Ting Sun1,2, Chenhan Zhao2, Shi-Jie Chen2.   

Abstract

On the basis of a helix-based transition rate model, we developed a new method for sampling cotranscriptional RNA conformational ensemble and the prediction of cotranscriptional folding kinetics. Applications to E. coli. SRP RNA and pbuE riboswitch indicate that the model may provide reliable predictions for the cotranscriptional folding pathways and population kinetics. For E. coli. SRP RNA, the predicted population kinetics and the folding pathway are consistent with the SHAPE profiles in the recent cotranscriptional SHAPE-seq experiments. For the pbuE riboswitch, the model predicts the transcriptional termination efficiency as a function of the force. The theoretical results show (a) a force-induced transition from the aptamer (antiterminator) to the terminator structure and (b) the different folding pathways for the riboswitch with and without the ligand (adenine). More specifically, without adenine, the aptamer structure emerges as a short-lived kinetic transient state instead of a thermodynamically stable intermediate state. Furthermore, from the predicted extension-time curves, the model identifies a series of conformational switches in the pulling process, where the predicted relative residence times for the different structures are in accordance with the experimental data. The model may provide a new tool for quantitative predictions of cotranscriptional folding kinetics, and results can offer useful insights into cotranscriptional folding-related RNA functions such as regulation of gene expression with riboswitches.

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Year:  2018        PMID: 29985608      PMCID: PMC6345277          DOI: 10.1021/acs.jpcb.8b04249

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  60 in total

1.  Crystal structure of the ribonucleoprotein core of the signal recognition particle.

Authors:  R T Batey; R P Rambo; L Lucast; B Rha; J A Doudna
Journal:  Science       Date:  2000-02-18       Impact factor: 47.728

2.  RNA hairpin-folding kinetics.

Authors:  Wenbing Zhang; Shi-Jie Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

3.  Insights into nucleic acid conformational dynamics from massively parallel stochastic simulations.

Authors:  Eric J Sorin; Young Min Rhee; Bradley J Nakatani; Vijay S Pande
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

4.  Predicting secondary structural folding kinetics for nucleic acids.

Authors:  Peinan Zhao; Wen-Bing Zhang; Shi-Jie Chen
Journal:  Biophys J       Date:  2010-04-21       Impact factor: 4.033

5.  Folding of noncoding RNAs during transcription facilitated by pausing-induced nonnative structures.

Authors:  Terrence N Wong; Tobin R Sosnick; Tao Pan
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-06       Impact factor: 11.205

6.  Folding kinetics of large RNAs.

Authors:  Michael Geis; Christoph Flamm; Michael T Wolfinger; Andrea Tanzer; Ivo L Hofacker; Martin Middendorf; Christian Mandl; Peter F Stadler; Caroline Thurner
Journal:  J Mol Biol       Date:  2008-03-06       Impact factor: 5.469

7.  IsRNA: An Iterative Simulated Reference State Approach to Modeling Correlated Interactions in RNA Folding.

Authors:  Dong Zhang; Shi-Jie Chen
Journal:  J Chem Theory Comput       Date:  2018-03-09       Impact factor: 6.006

8.  Sequence-dependent folding landscapes of adenine riboswitch aptamers.

Authors:  Jong-Chin Lin; Changbong Hyeon; D Thirumalai
Journal:  Phys Chem Chem Phys       Date:  2013-12-23       Impact factor: 3.676

Review 9.  Riboswitch RNAs: regulation of gene expression by direct monitoring of a physiological signal.

Authors:  Angela M Smith; Ryan T Fuchs; Frank J Grundy; Tina M Henkin
Journal:  RNA Biol       Date:  2010-01-25       Impact factor: 4.652

10.  Predicting RNA Structure with Vfold.

Authors:  Chenhan Zhao; Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2017
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  5 in total

1.  Landscape Zooming toward the Prediction of RNA Cotranscriptional Folding.

Authors:  Xiaojun Xu; Lei Jin; Liangxu Xie; Shi-Jie Chen
Journal:  J Chem Theory Comput       Date:  2022-02-08       Impact factor: 6.006

2.  Predicting the Structure of a Viroid : Structure, Structure Distribution, Consensus Structure, and Structure Drawing.

Authors:  Gerhard Steger
Journal:  Methods Mol Biol       Date:  2022

3.  The International Society of RNA Nanotechnology and Nanomedicine (ISRNN): The Present and Future of the Burgeoning Field.

Authors:  Morgan Chandler; Brittany Johnson; Emil Khisamutdinov; Marina A Dobrovolskaia; Joanna Sztuba-Solinska; Aliasger K Salem; Koen Breyne; Roger Chammas; Nils G Walter; Lydia M Contreras; Peixuan Guo; Kirill A Afonin
Journal:  ACS Nano       Date:  2021-10-22       Impact factor: 18.027

Review 4.  Thermostability, Tunability, and Tenacity of RNA as Rubbery Anionic Polymeric Materials in Nanotechnology and Nanomedicine-Specific Cancer Targeting with Undetectable Toxicity.

Authors:  Daniel W Binzel; Xin Li; Nicolas Burns; Eshan Khan; Wen-Jui Lee; Li-Ching Chen; Satheesh Ellipilli; Wayne Miles; Yuan Soon Ho; Peixuan Guo
Journal:  Chem Rev       Date:  2021-05-26       Impact factor: 72.087

5.  Requirements for efficient ligand-gated co-transcriptional switching in designed variants of the B. subtilis pbuE adenine-responsive riboswitch in E. coli.

Authors:  Lea K Drogalis; Robert T Batey
Journal:  PLoS One       Date:  2020-12-01       Impact factor: 3.240

  5 in total

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