Literature DB >> 19805055

Assembly mechanisms of RNA pseudoknots are determined by the stabilities of constituent secondary structures.

Samuel S Cho1, David L Pincus, D Thirumalai.   

Abstract

Understanding how RNA molecules navigate their rugged folding landscapes holds the key to describing their roles in a variety of cellular functions. To dissect RNA folding at the molecular level, we performed simulations of three pseudoknots (MMTV and SRV-1 from viral genomes and the hTR pseudoknot from human telomerase) using coarse-grained models. The melting temperatures from the specific heat profiles are in good agreement with the available experimental data for MMTV and hTR. The equilibrium free energy profiles, which predict the structural transitions that occur at each melting temperature, are used to propose that the relative stabilities of the isolated helices control their folding mechanisms. Kinetic simulations, which corroborate the inferences drawn from the free energy profiles, show that MMTV folds by a hierarchical mechanism with parallel paths, i.e., formation of one of the helices nucleates the assembly of the rest of the structure. The SRV-1 pseudoknot, which folds in a highly cooperative manner, assembles in a single step in which the preformed helices coalesce nearly simultaneously to form the tertiary structure. Folding occurs by multiple pathways in the hTR pseudoknot, the isolated structural elements of which have similar stabilities. In one of the paths, tertiary interactions are established before the formation of the secondary structures. Our work shows that there are significant sequence-dependent variations in the folding landscapes of RNA molecules with similar fold. We also establish that assembly mechanisms can be predicted using the stabilities of the isolated secondary structures.

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Year:  2009        PMID: 19805055      PMCID: PMC2765080          DOI: 10.1073/pnas.0906625106

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


  41 in total

Review 1.  Maximizing RNA folding rates: a balancing act.

Authors:  D Thirumalai; S A Woodson
Journal:  RNA       Date:  2000-06       Impact factor: 4.942

2.  An expanding universe of noncoding RNAs.

Authors:  Gisela Storz
Journal:  Science       Date:  2002-05-17       Impact factor: 47.728

Review 3.  How RNA folds.

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

Review 4.  The chemical repertoire of natural ribozymes.

Authors:  Jennifer A Doudna; Thomas R Cech
Journal:  Nature       Date:  2002-07-11       Impact factor: 49.962

5.  An "integrated model" of programmed ribosomal frameshifting.

Authors:  Jason W Harger; Arturas Meskauskas; Jonathan D Dinman
Journal:  Trends Biochem Sci       Date:  2002-09       Impact factor: 13.807

6.  Multiple probes are required to explore and control the rugged energy landscape of RNA hairpins.

Authors:  Changbong Hyeon; D Thirumalai
Journal:  J Am Chem Soc       Date:  2008-01-11       Impact factor: 15.419

7.  Contribution of the intercalated adenosine at the helical junction to the stability of the gag-pro frameshifting pseudoknot from mouse mammary tumor virus.

Authors:  C A Theimer; D P Giedroc
Journal:  RNA       Date:  2000-03       Impact factor: 4.942

Review 8.  Dyskeratosis congenita, telomeres and human ageing.

Authors:  R A Marciniak; F B Johnson; L Guarente
Journal:  Trends Genet       Date:  2000-05       Impact factor: 11.639

9.  Mutations linked to dyskeratosis congenita cause changes in the structural equilibrium in telomerase RNA.

Authors:  Carla A Theimer; L David Finger; Lukas Trantirek; Juli Feigon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-13       Impact factor: 11.205

Review 10.  Structure, stability and function of RNA pseudoknots involved in stimulating ribosomal frameshifting.

Authors:  D P Giedroc; C A Theimer; P L Nixon
Journal:  J Mol Biol       Date:  2000-04-28       Impact factor: 5.469

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  42 in total

1.  How do metal ions direct ribozyme folding?

Authors:  Natalia A Denesyuk; D Thirumalai
Journal:  Nat Chem       Date:  2015-08-31       Impact factor: 24.427

2.  Using simulations and kinetic network models to reveal the dynamics and functions of riboswitches.

Authors:  Jong-Chin Lin; Jeseong Yoon; Changbong Hyeon; D Thirumalai
Journal:  Methods Enzymol       Date:  2015-02-03       Impact factor: 1.600

Review 3.  Topological constraints: using RNA secondary structure to model 3D conformation, folding pathways, and dynamic adaptation.

Authors:  Maximillian H Bailor; Anthony M Mustoe; Charles L Brooks; Hashim M Al-Hashimi
Journal:  Curr Opin Struct Biol       Date:  2011-04-14       Impact factor: 6.809

4.  Free-energy calculations for semi-flexible macromolecules: applications to DNA knotting and looping.

Authors:  Stefan M Giovan; Robert G Scharein; Andreas Hanke; Stephen D Levene
Journal:  J Chem Phys       Date:  2014-11-07       Impact factor: 3.488

5.  Absence of knots in known RNA structures.

Authors:  Cristian Micheletti; Marco Di Stefano; Henri Orland
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

Review 6.  Entropic stabilization of the folded states of RNA due to macromolecular crowding.

Authors:  Natalia A Denesyuk; D Thirumalai
Journal:  Biophys Rev       Date:  2013-04-18

7.  Secondary structure encodes a cooperative tertiary folding funnel in the Azoarcus ribozyme.

Authors:  Anthony M Mustoe; Hashim M Al-Hashimi; Charles L Brooks
Journal:  Nucleic Acids Res       Date:  2015-10-19       Impact factor: 16.971

8.  Many-body effect in ion binding to RNA.

Authors:  Yuhong Zhu; Shi-Jie Chen
Journal:  J Chem Phys       Date:  2014-08-07       Impact factor: 3.488

9.  Rational design of a synthetic mammalian riboswitch as a ligand-responsive -1 ribosomal frame-shifting stimulator.

Authors:  Ya-Hui Lin; Kung-Yao Chang
Journal:  Nucleic Acids Res       Date:  2016-08-12       Impact factor: 16.971

10.  Thermodynamics of RNA structures by Wang-Landau sampling.

Authors:  Feng Lou; Peter Clote
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

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