Visualizing RNA structure ensembles by single-molecule correlated chemical probing.


Journal

Current opinion in structural biology
ISSN: 1879-033X
Titre abrégé: Curr Opin Struct Biol
Pays: England
ID NLM: 9107784

Informations de publication

Date de publication:
17 Jul 2024
Historique:
received: 26 04 2024
revised: 11 06 2024
accepted: 13 06 2024
medline: 19 7 2024
pubmed: 19 7 2024
entrez: 18 7 2024
Statut: aheadofprint

Résumé

RNA molecules fold to form complex internal structures. Many of these RNA structures populate ensembles with rheostat-like properties, with each state having a distinct function. Until recently, analysis of RNA structures, especially within cells, was limited to modeling either a single averaged structure or computationally-modeled ensembles. These approaches obscure the intrinsic heterogeneity of many structured RNAs. Single-molecule correlated chemical probing (smCCP) strategies are now making it possible to measure and deconvolute RNA structure ensembles based on efficiently executed chemical probing experiments. Here, we provide an overview of fundamental single-molecule probing principles, review current ensemble deconvolution strategies, and discuss recent applications to diverse biological systems. smCCP is enabling a revolution in understanding how the plasticity of RNA structure is exploited in biological systems to respond to stimuli and alter gene function. The energetics of RNA ensembles are often subtle and a subset can likely be targeted to modulate disease-associated biological processes.

Identifiants

pubmed: 39024941
pii: S0959-440X(24)00104-0
doi: 10.1016/j.sbi.2024.102877
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102877

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest K.M.W. is a founder of Ribometrix and A-Form Solutions. All other authors declare no competing interests.

Auteurs

J Winston Arney (JW)

Department of Chemistry, University of North Carolina, Chapel Hill, NC 27599-3290, USA.

Alain Laederach (A)

Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA.

Kevin M Weeks (KM)

Department of Chemistry, University of North Carolina, Chapel Hill, NC 27599-3290, USA. Electronic address: weeks@unc.edu.

Classifications MeSH