Literature DB >> 34373334

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

Steve L Bonilla1,2, Sarah K Denny3,4, John H Shin1,2, Aurora Alvarez-Buylla3, William J Greenleaf3,4, Daniel Herschlag5,2,4.   

Abstract

Despite RNA's diverse secondary and tertiary structures and its complex conformational changes, nature utilizes a limited set of structural "motifs"-helices, junctions, and tertiary contact modules-to build diverse functional RNAs. Thus, in-depth descriptions of a relatively small universe of RNA motifs may lead to predictive models of RNA tertiary conformational landscapes. Motifs may have different properties depending on sequence and secondary structure, giving rise to subclasses that expand the universe of RNA building blocks. Yet we know very little about motif subclasses, given the challenges in mapping conformational properties in high throughput. Previously, we used "RNA on a massively parallel array" (RNA-MaP), a quantitative, high-throughput technique, to study thousands of helices and two-way junctions. Here, we adapt RNA-MaP to study the thermodynamic and conformational properties of tetraloop/tetraloop receptor (TL/TLR) tertiary contact motifs, analyzing 1,493 TLR sequences from different classes. Clustering analyses revealed variability in TL specificity, stability, and conformational behavior. Nevertheless, natural GAAA/11ntR TL/TLRs, while varying in tertiary stability by ∼2.5 kcal/mol, exhibited conserved TL specificity and conformational properties. Thus, RNAs may tune stability without altering the overall structure of these TL/TLRs. Furthermore, their stability correlated with natural frequency, suggesting thermodynamics as the dominant selection pressure. In contrast, other TL/TLRs displayed heterogenous conformational behavior and appear to not be under strong thermodynamic selection. Our results build toward a generalizable model of RNA-folding thermodynamics based on the properties of isolated motifs, and our characterized TL/TLR library can be used to engineer RNAs with predictable thermodynamic and conformational behavior.

Entities:  

Keywords:  RNA folding; RNA nanotechnology; RNA structure; high-throughput biochemistry; tertiary motifs

Mesh:

Substances:

Year:  2021        PMID: 34373334      PMCID: PMC8379967          DOI: 10.1073/pnas.2109085118

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


  51 in total

1.  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

Review 2.  How RNA folds.

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

3.  A conserved motif in group IC3 introns is a new class of GNRA receptor.

Authors:  Y Ikawa; D Naito; N Aono; H Shiraishi; T Inoue
Journal:  Nucleic Acids Res       Date:  1999-04-15       Impact factor: 16.971

4.  Database for mobile group II introns.

Authors:  Lixin Dai; Navtej Toor; Robert Olson; Andrew Keeping; Steven Zimmerly
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  The Ribonuclease P Database.

Authors:  J W Brown
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

6.  A Quantitative and Predictive Model for RNA Binding by Human Pumilio Proteins.

Authors:  Inga Jarmoskaite; Sarah K Denny; Pavanapuresan P Vaidyanathan; Winston R Becker; Johan O L Andreasson; Curtis J Layton; Kalli Kappel; Varun Shivashankar; Raashi Sreenivasan; Rhiju Das; William J Greenleaf; Daniel Herschlag
Journal:  Mol Cell       Date:  2019-05-08       Impact factor: 17.970

Review 7.  Linking RNA Sequence, Structure, and Function on Massively Parallel High-Throughput Sequencers.

Authors:  Sarah K Denny; William J Greenleaf
Journal:  Cold Spring Harb Perspect Biol       Date:  2019-10-01       Impact factor: 10.005

8.  Quantitative tests of a reconstitution model for RNA folding thermodynamics and kinetics.

Authors:  Namita Bisaria; Max Greenfeld; Charles Limouse; Hideo Mabuchi; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-24       Impact factor: 11.205

9.  Quantitative analysis of RNA-protein interactions on a massively parallel array reveals biophysical and evolutionary landscapes.

Authors:  Jason D Buenrostro; Carlos L Araya; Lauren M Chircus; Curtis J Layton; Howard Y Chang; Michael P Snyder; William J Greenleaf
Journal:  Nat Biotechnol       Date:  2014-04-13       Impact factor: 54.908

10.  Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments.

Authors:  Aurélie Lescoute; Neocles B Leontis; Christian Massire; Eric Westhof
Journal:  Nucleic Acids Res       Date:  2005-04-28       Impact factor: 16.971

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