Literature DB >> 27266715

RNA structure through multidimensional chemical mapping.

Siqi Tian1, Rhiju Das1.   

Abstract

The discoveries of myriad non-coding RNA molecules, each transiting through multiple flexible states in cells or virions, present major challenges for structure determination. Advances in high-throughput chemical mapping give new routes for characterizing entire transcriptomes in vivo, but the resulting one-dimensional data generally remain too information-poor to allow accurate de novo structure determination. Multidimensional chemical mapping (MCM) methods seek to address this challenge. Mutate-and-map (M2), RNA interaction groups by mutational profiling (RING-MaP and MaP-2D analysis) and multiplexed •OH cleavage analysis (MOHCA) measure how the chemical reactivities of every nucleotide in an RNA molecule change in response to modifications at every other nucleotide. A growing body of in vitro blind tests and compensatory mutation/rescue experiments indicate that MCM methods give consistently accurate secondary structures and global tertiary structures for ribozymes, ribosomal domains and ligand-bound riboswitch aptamers up to 200 nucleotides in length. Importantly, MCM analyses provide detailed information on structurally heterogeneous RNA states, such as ligand-free riboswitches that are functionally important but difficult to resolve with other approaches. The sequencing requirements of currently available MCM protocols scale at least quadratically with RNA length, precluding general application to transcriptomes or viral genomes at present. We propose a modify-cross-link-map (MXM) expansion to overcome this and other current limitations to resolving the in vivo 'RNA structurome'.

Mesh:

Substances:

Year:  2016        PMID: 27266715     DOI: 10.1017/S0033583516000020

Source DB:  PubMed          Journal:  Q Rev Biophys        ISSN: 0033-5835            Impact factor:   5.318


  27 in total

Review 1.  RNA Structural Differentiation: Opportunities with Pattern Recognition.

Authors:  Christopher S Eubanks; Amanda E Hargrove
Journal:  Biochemistry       Date:  2018-12-18       Impact factor: 3.162

2.  Using Rosetta for RNA homology modeling.

Authors:  Andrew M Watkins; Ramya Rangan; Rhiju Das
Journal:  Methods Enzymol       Date:  2019-06-11       Impact factor: 1.600

3.  Primerize-2D: automated primer design for RNA multidimensional chemical mapping.

Authors:  Siqi Tian; Rhiju Das
Journal:  Bioinformatics       Date:  2017-05-01       Impact factor: 6.937

4.  Opportunities and Challenges in RNA Structural Modeling and Design.

Authors:  Tamar Schlick; Anna Marie Pyle
Journal:  Biophys J       Date:  2017-02-02       Impact factor: 4.033

5.  Probing RNA Conformational Equilibria within the Functional Cellular Context.

Authors:  Laura R Ganser; Chia-Chieh Chu; Hal P Bogerd; Megan L Kelly; Bryan R Cullen; Hashim M Al-Hashimi
Journal:  Cell Rep       Date:  2020-02-25       Impact factor: 9.423

Review 6.  Functional 5' UTR mRNA structures in eukaryotic translation regulation and how to find them.

Authors:  Kathrin Leppek; Rhiju Das; Maria Barna
Journal:  Nat Rev Mol Cell Biol       Date:  2017-11-22       Impact factor: 94.444

Review 7.  RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

Authors:  Jiří Šponer; Giovanni Bussi; Miroslav Krepl; Pavel Banáš; Sandro Bottaro; Richard A Cunha; Alejandro Gil-Ley; Giovanni Pinamonti; Simón Poblete; Petr Jurečka; Nils G Walter; Michal Otyepka
Journal:  Chem Rev       Date:  2018-01-03       Impact factor: 60.622

8.  Dynamic ensemble of HIV-1 RRE stem IIB reveals non-native conformations that disrupt the Rev-binding site.

Authors:  Chia-Chieh Chu; Raphael Plangger; Christoph Kreutz; Hashim M Al-Hashimi
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

9.  Accurate inference of the full base-pairing structure of RNA by deep mutational scanning and covariation-induced deviation of activity.

Authors:  Zhe Zhang; Peng Xiong; Tongchuan Zhang; Junfeng Wang; Jian Zhan; Yaoqi Zhou
Journal:  Nucleic Acids Res       Date:  2020-02-20       Impact factor: 16.971

10.  RNA structure inference through chemical mapping after accidental or intentional mutations.

Authors:  Clarence Y Cheng; Wipapat Kladwang; Joseph D Yesselman; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-29       Impact factor: 11.205

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