Literature DB >> 28918093

Topological Structure Determination of RNA Using Small-Angle X-Ray Scattering.

Yuba R Bhandari1, Lixin Fan2, Xianyang Fang3, George F Zaki4, Eric A Stahlberg4, Wei Jiang5, Charles D Schwieters6, Jason R Stagno3, Yun-Xing Wang7.   

Abstract

Knowledge of RNA three-dimensional topological structures provides important insight into the relationship between RNA structural components and function. It is often likely that near-complete sets of biochemical and biophysical data containing structural restraints are not available, but one still wants to obtain knowledge about approximate topological folding of RNA. In this regard, general methods for determining such topological structures with minimum readily available restraints are lacking. Naked RNAs are difficult to crystallize and NMR spectroscopy is generally limited to small RNA fragments. By nature, sequence determines structure and all interactions that drive folding are self-contained within sequence. Nevertheless, there is little apparent correlation between primary sequences and three-dimensional folding unless supplemented with experimental or phylogenetic data. Thus, there is an acute need for a robust high-throughput method that can rapidly determine topological structures of RNAs guided by some experimental data. We present here a novel method (RS3D) that can assimilate the RNA secondary structure information, small-angle X-ray scattering data, and any readily available tertiary contact information to determine the topological fold of RNA. Conformations are firstly sampled at glob level where each glob represents a nucleotide. Best-ranked glob models can be further refined against solvent accessibility data, if available, and then converted to explicit all-atom coordinates for refinement against SAXS data using the Xplor-NIH program. RS3D is widely applicable to a variety of RNA folding architectures currently present in the structure database. Furthermore, we demonstrate applicability and feasibility of the program to derive low-resolution topological structures of relatively large multi-domain RNAs. Published by Elsevier Ltd.

Entities:  

Keywords:  RNA secondary and tertiary structure; RNA topological structure; hierarchical moves; small-angle X-ray scattering

Mesh:

Substances:

Year:  2017        PMID: 28918093      PMCID: PMC5693684          DOI: 10.1016/j.jmb.2017.09.006

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


  44 in total

1.  The Xplor-NIH NMR molecular structure determination package.

Authors:  Charles D Schwieters; John J Kuszewski; Nico Tjandra; G Marius Clore
Journal:  J Magn Reson       Date:  2003-01       Impact factor: 2.229

2.  RNA-Puzzles: a CASP-like evaluation of RNA three-dimensional structure prediction.

Authors:  José Almeida Cruz; Marc-Frédérick Blanchet; Michal Boniecki; Janusz M Bujnicki; Shi-Jie Chen; Song Cao; Rhiju Das; Feng Ding; Nikolay V Dokholyan; Samuel Coulbourn Flores; Lili Huang; Christopher A Lavender; Véronique Lisi; François Major; Katarzyna Mikolajczak; Dinshaw J Patel; Anna Philips; Tomasz Puton; John Santalucia; Fredrick Sijenyi; Thomas Hermann; Kristian Rother; Magdalena Rother; Alexander Serganov; Marcin Skorupski; Tomasz Soltysinski; Parin Sripakdeevong; Irina Tuszynska; Kevin M Weeks; Christina Waldsich; Michael Wildauer; Neocles B Leontis; Eric Westhof
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

3.  Refinement of multidomain protein structures by combination of solution small-angle X-ray scattering and NMR data.

Authors:  Alexander Grishaev; Justin Wu; Jill Trewhella; Ad Bax
Journal:  J Am Chem Soc       Date:  2005-11-30       Impact factor: 15.419

4.  Topology of three-way junctions in folded RNAs.

Authors:  Aurélie Lescoute; Eric Westhof
Journal:  RNA       Date:  2006-01       Impact factor: 4.942

5.  RNA2D3D: a program for generating, viewing, and comparing 3-dimensional models of RNA.

Authors:  Hugo M Martinez; Jacob V Maizel; Bruce A Shapiro
Journal:  J Biomol Struct Dyn       Date:  2008-06

6.  Computational methods for defining the allowed conformational space of 16S rRNA based on chemical footprinting data.

Authors:  D L Fink; R O Chen; H F Noller; R B Altman
Journal:  RNA       Date:  1996-09       Impact factor: 4.942

7.  Factorless ribosome assembly on the internal ribosome entry site of cricket paralysis virus.

Authors:  Eric Jan; Peter Sarnow
Journal:  J Mol Biol       Date:  2002-12-13       Impact factor: 5.469

8.  RNA tertiary structure analysis by 2'-hydroxyl molecular interference.

Authors:  Philip J Homan; Arpit Tandon; Greggory M Rice; Feng Ding; Nikolay V Dokholyan; Kevin M Weeks
Journal:  Biochemistry       Date:  2014-10-23       Impact factor: 3.162

9.  RNA structure determination using SAXS data.

Authors:  Sichun Yang; Marc Parisien; François Major; Benoît Roux
Journal:  J Phys Chem B       Date:  2010-08-12       Impact factor: 2.991

10.  Solution structure of the cap-independent translational enhancer and ribosome-binding element in the 3' UTR of turnip crinkle virus.

Authors:  Xiaobing Zuo; Jinbu Wang; Ping Yu; Dan Eyler; Huan Xu; Mary R Starich; David M Tiede; Anne E Simon; Wojciech Kasprzak; Charles D Schwieters; Bruce A Shapiro; Yun-Xing Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-07       Impact factor: 11.205

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  4 in total

1.  Dynamic Structural Biology Experiments at XFEL or Synchrotron Sources.

Authors:  Pierre Aller; Allen M Orville
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Advances and opportunities in RNA structure experimental determination and computational modeling.

Authors:  Jinsong Zhang; Yuhan Fei; Lei Sun; Qiangfeng Cliff Zhang
Journal:  Nat Methods       Date:  2022-10-06       Impact factor: 47.990

Review 3.  Computational modeling of RNA 3D structure based on experimental data.

Authors:  Almudena Ponce-Salvatierra; Katarzyna Merdas; Chandran Nithin; Pritha Ghosh; Sunandan Mukherjee; Janusz M Bujnicki
Journal:  Biosci Rep       Date:  2019-02-08       Impact factor: 3.840

Review 4.  Advances in RNA 3D Structure Modeling Using Experimental Data.

Authors:  Bing Li; Yang Cao; Eric Westhof; Zhichao Miao
Journal:  Front Genet       Date:  2020-10-26       Impact factor: 4.599

  4 in total

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