Literature DB >> 17391697

DEAD-box-protein-assisted RNA structure conversion towards and against thermodynamic equilibrium values.

Quansheng Yang1, Margaret E Fairman, Eckhard Jankowsky.   

Abstract

RNAs in biological processes often interconvert between defined structures. These RNA structure conversions are assisted by proteins and are frequently coupled to ATP hydrolysis. It is not well understood how proteins coordinate RNA structure conversions and which role ATP hydrolysis has in these processes. Here, we have investigated in vitro how the DEAD-box ATPase Ded1 facilitates RNA structure conversions in a simple model system. We find that Ded1 assists RNA structure conversions via two distinct pathways. One pathway requires ATP hydrolysis and involves the complete disassembly of the RNA strands. This pathway represents a kinetically controlled steady state between the RNA structures, which allows formation of less stable from more stable RNA conformations and thus RNA structure conversion against thermodynamic equilibrium values. The other pathway is ATP-independent and proceeds via multipartite intermediates that are stabilized by Ded1. Our results provide a basic mechanistic framework for protein-assisted RNA structure conversions that illuminates the role of ATP hydrolysis and reveal an unexpected diversity of pathways.

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Year:  2007        PMID: 17391697      PMCID: PMC1913213          DOI: 10.1016/j.jmb.2007.02.071

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  35 in total

1.  The DExH protein NPH-II is a processive and directional motor for unwinding RNA.

Authors:  E Jankowsky; C H Gross; S Shuman; A M Pyle
Journal:  Nature       Date:  2000-01-27       Impact factor: 49.962

2.  Active disruption of an RNA-protein interaction by a DExH/D RNA helicase.

Authors:  E Jankowsky; C H Gross; S Shuman; A M Pyle
Journal:  Science       Date:  2001-01-05       Impact factor: 47.728

Review 3.  Single-molecule fluorescence resonance energy transfer.

Authors:  T Ha
Journal:  Methods       Date:  2001-09       Impact factor: 3.608

4.  Exploring the folding landscape of a structured RNA.

Authors:  Rick Russell; Xiaowei Zhuang; Hazen P Babcock; Ian S Millett; Sebastian Doniach; Steven Chu; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-26       Impact factor: 11.205

Review 5.  DExD/H box RNA helicases: from generic motors to specific dissociation functions.

Authors:  N K Tanner; P Linder
Journal:  Mol Cell       Date:  2001-08       Impact factor: 17.970

Review 6.  Single-molecule fluorescence methods for the study of nucleic acids.

Authors:  T Ha
Journal:  Curr Opin Struct Biol       Date:  2001-06       Impact factor: 6.809

Review 7.  The ubiquitous nature of RNA chaperone proteins.

Authors:  Gaël Cristofari; Jean-Luc Darlix
Journal:  Prog Nucleic Acid Res Mol Biol       Date:  2002

Review 8.  RNA folding in vivo.

Authors:  Renée Schroeder; Rupert Grossberger; Andrea Pichler; Christina Waldsich
Journal:  Curr Opin Struct Biol       Date:  2002-06       Impact factor: 6.809

9.  Involvement of DEAD-box proteins in group I and group II intron splicing. Biochemical characterization of Mss116p, ATP hydrolysis-dependent and -independent mechanisms, and general RNA chaperone activity.

Authors:  Coralie Halls; Sabine Mohr; Mark Del Campo; Quansheng Yang; Eckhard Jankowsky; Alan M Lambowitz
Journal:  J Mol Biol       Date:  2006-10-03       Impact factor: 5.469

10.  HIV-1 nucleocapsid protein as a nucleic acid chaperone: spectroscopic study of its helix-destabilizing properties, structural binding specificity, and annealing activity.

Authors:  María A Urbaneja; Min Wu; José R Casas-Finet; Richard L Karpel
Journal:  J Mol Biol       Date:  2002-05-03       Impact factor: 5.469

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  19 in total

Review 1.  RNA reactions one molecule at a time.

Authors:  Ignacio Tinoco; Gang Chen; Xiaohui Qu
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-04-14       Impact factor: 10.005

Review 2.  Roles of DEAD-box proteins in RNA and RNP Folding.

Authors:  Cynthia Pan; Rick Russell
Journal:  RNA Biol       Date:  2010-11-01       Impact factor: 4.652

3.  Kinetic redistribution of native and misfolded RNAs by a DEAD-box chaperone.

Authors:  Hari Bhaskaran; Rick Russell
Journal:  Nature       Date:  2007-10-25       Impact factor: 49.962

4.  A conserved phenylalanine of motif IV in superfamily 2 helicases is required for cooperative, ATP-dependent binding of RNA substrates in DEAD-box proteins.

Authors:  Josette Banroques; Olivier Cordin; Monique Doère; Patrick Linder; N Kyle Tanner
Journal:  Mol Cell Biol       Date:  2008-03-10       Impact factor: 4.272

Review 5.  Unwinding RNA's secrets: advances in the biology, physics, and modeling of complex RNAs.

Authors:  Vincent B Chu; Daniel Herschlag
Journal:  Curr Opin Struct Biol       Date:  2008-06       Impact factor: 6.809

Review 6.  From unwinding to clamping - the DEAD box RNA helicase family.

Authors:  Patrick Linder; Eckhard Jankowsky
Journal:  Nat Rev Mol Cell Biol       Date:  2011-07-22       Impact factor: 94.444

7.  Molecular chaperones maximize the native state yield on biological times by driving substrates out of equilibrium.

Authors:  Shaon Chakrabarti; Changbong Hyeon; Xiang Ye; George H Lorimer; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-07       Impact factor: 11.205

Review 8.  Helicase-mediated changes in RNA structure at the single-molecule level.

Authors:  Sebastian L B König; Pramodha S Liyanage; Roland K O Sigel; David Rueda
Journal:  RNA Biol       Date:  2013-01-01       Impact factor: 4.652

9.  ATP hydrolysis is required for DEAD-box protein recycling but not for duplex unwinding.

Authors:  Fei Liu; Andrea Putnam; Eckhard Jankowsky
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-16       Impact factor: 11.205

10.  Division of Labor in an Oligomer of the DEAD-Box RNA Helicase Ded1p.

Authors:  Andrea A Putnam; Zhaofeng Gao; Fei Liu; Huijue Jia; Quansheng Yang; Eckhard Jankowsky
Journal:  Mol Cell       Date:  2015-07-23       Impact factor: 17.970

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