Literature DB >> 31375637

Sequence-dependent RNA helix conformational preferences predictably impact tertiary structure formation.

Joseph D Yesselman1, Sarah K Denny2, Namita Bisaria1, Daniel Herschlag3,4,5, William J Greenleaf6,4,7,8,9, Rhiju Das3,10.   

Abstract

Structured RNAs and RNA complexes underlie biological processes ranging from control of gene expression to protein translation. Approximately 50% of nucleotides within known structured RNAs are folded into Watson-Crick (WC) base pairs, and sequence changes that preserve these pairs are typically assumed to preserve higher-order RNA structure and binding of macromolecule partners. Here, we report that indirect effects of the helix sequence on RNA tertiary stability are, in fact, significant but are nevertheless predictable from a simple computational model called RNAMake-∆∆G. When tested through the RNA on a massively parallel array (RNA-MaP) experimental platform, blind predictions for >1500 variants of the tectoRNA heterodimer model system achieve high accuracy (rmsd 0.34 and 0.77 kcal/mol for sequence and length changes, respectively). Detailed comparison of predictions to experiments support a microscopic picture of how helix sequence changes subtly modulate conformational fluctuations at each base-pair step, which accumulate to impact RNA tertiary structure stability. Our study reveals a previously overlooked phenomenon in RNA structure formation and provides a framework of computation and experiment for understanding helix conformational preferences and their impact across biological RNA and RNA-protein assemblies.

Keywords:  RNA energetics; blind prediction; high-throughput data; indirect readout

Year:  2019        PMID: 31375637      PMCID: PMC6708322          DOI: 10.1073/pnas.1901530116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  TectoRNA: modular assembly units for the construction of RNA nano-objects.

Authors:  L Jaeger; E Westhof; N B Leontis
Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

3.  Tecto-RNA: One-Dimensional Self-Assembly through Tertiary Interactions This work was carried out in Strasbourg with the support of grants to N.B.L. from the NIH (1R15 GM55898) and the NIH Fogarty Institute (1-F06-TW02251-01) and the support of the CNRS to L.J. The authors wish to thank Eric Westhof for his support and encouragement of this work.

Authors: 
Journal:  Angew Chem Int Ed Engl       Date:  2000-07-17       Impact factor: 15.336

Review 4.  How RNA folds.

Authors:  I Tinoco; C Bustamante
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

5.  The structural basis of ribosome activity in peptide bond synthesis.

Authors:  P Nissen; J Hansen; N Ban; P B Moore; T A Steitz
Journal:  Science       Date:  2000-08-11       Impact factor: 47.728

6.  Single-molecule measurements of the persistence length of double-stranded RNA.

Authors:  J A Abels; F Moreno-Herrero; T van der Heijden; C Dekker; N H Dekker
Journal:  Biophys J       Date:  2005-01-14       Impact factor: 4.033

Review 7.  From birth to death: the complex lives of eukaryotic mRNAs.

Authors:  Melissa J Moore
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

Review 8.  RNA structure: reading the ribosome.

Authors:  Harry F Noller
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

9.  Controlling RNA self-assembly to form filaments.

Authors:  Lorena Nasalean; Stéphanie Baudrey; Neocles B Leontis; Luc Jaeger
Journal:  Nucleic Acids Res       Date:  2006-03-06       Impact factor: 16.971

10.  A comprehensive comparison of comparative RNA structure prediction approaches.

Authors:  Paul P Gardner; Robert Giegerich
Journal:  BMC Bioinformatics       Date:  2004-09-30       Impact factor: 3.169

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  10 in total

1.  Modeling Loop Composition and Ion Concentration Effects in RNA Hairpin Folding Stability.

Authors:  Chenhan Zhao; Dong Zhang; Yangwei Jiang; Shi-Jie Chen
Journal:  Biophys J       Date:  2020-09-02       Impact factor: 4.033

2.  Measuring thermodynamic preferences to form non-native conformations in nucleic acids using ultraviolet melting.

Authors:  Atul Rangadurai; Honglue Shi; Yu Xu; Bei Liu; Hala Abou Assi; John D Boom; Huiqing Zhou; Isaac J Kimsey; Hashim M Al-Hashimi
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-07       Impact factor: 12.779

3.  How We Think about Targeting RNA with Small Molecules.

Authors:  Matthew G Costales; Jessica L Childs-Disney; Hafeez S Haniff; Matthew D Disney
Journal:  J Med Chem       Date:  2020-03-26       Impact factor: 7.446

4.  High-throughput dissection of the thermodynamic and conformational properties of a ubiquitous class of RNA tertiary contact motifs.

Authors:  Steve L Bonilla; Sarah K Denny; John H Shin; Aurora Alvarez-Buylla; William J Greenleaf; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

Review 5.  RNA aptamers for AMPA receptors.

Authors:  Zhen Huang; Li Niu
Journal:  Neuropharmacology       Date:  2021-09-09       Impact factor: 5.273

6.  Refining the RNA Force Field with Small-Angle X-ray Scattering of Helix-Junction-Helix RNA.

Authors:  Weiwei He; Nawavi Naleem; Diego Kleiman; Serdal Kirmizialtin
Journal:  J Phys Chem Lett       Date:  2022-04-11       Impact factor: 6.888

7.  Quantifying Protein-Protein Interactions in Molecular Simulations.

Authors:  Alfredo Jost Lopez; Patrick K Quoika; Max Linke; Gerhard Hummer; Jürgen Köfinger
Journal:  J Phys Chem B       Date:  2020-06-02       Impact factor: 2.991

8.  Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scattering.

Authors:  Yen-Lin Chen; Lois Pollack
Journal:  IUCrJ       Date:  2020-08-12       Impact factor: 4.769

9.  Compaction of RNA Duplexes in the Cell*.

Authors:  Alberto Collauto; Sören von Bülow; Dnyaneshwar B Gophane; Subham Saha; Lukas S Stelzl; Gerhard Hummer; Snorri T Sigurdsson; Thomas F Prisner
Journal:  Angew Chem Int Ed Engl       Date:  2020-10-13       Impact factor: 15.336

Review 10.  Cooperativity and Interdependency between RNA Structure and RNA-RNA Interactions.

Authors:  Ilias Skeparnias; Jinwei Zhang
Journal:  Noncoding RNA       Date:  2021-12-15
  10 in total

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