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Visualization of conformational variability in the domains of long single-stranded RNA molecules

We demonstrate an application of atomic force microscopy (AFM) for the structural analysis of long single-stranded RNA (>1 kb), focusing on 28S ribosomal RNA (rRNA). Generally, optimization of the conditions required to obtain three-dimensional (3D) structures of long RNA molecules is a challengi...

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Autores principales: Gilmore, Jamie L., Yoshida, Aiko, Hejna, James A., Takeyasu, Kunio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
RNA
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737216/
https://www.ncbi.nlm.nih.gov/pubmed/28591846
http://dx.doi.org/10.1093/nar/gkx502
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author Gilmore, Jamie L.
Yoshida, Aiko
Hejna, James A.
Takeyasu, Kunio
author_facet Gilmore, Jamie L.
Yoshida, Aiko
Hejna, James A.
Takeyasu, Kunio
author_sort Gilmore, Jamie L.
collection PubMed
description We demonstrate an application of atomic force microscopy (AFM) for the structural analysis of long single-stranded RNA (>1 kb), focusing on 28S ribosomal RNA (rRNA). Generally, optimization of the conditions required to obtain three-dimensional (3D) structures of long RNA molecules is a challenging or nearly impossible process. In this study, we overcome these limitations by developing a method using AFM imaging combined with automated, MATLAB-based image analysis algorithms for extracting information about the domain organization of single RNA molecules. We examined the 5 kb human 28S rRNA since it is the largest RNA molecule for which a 3D structure is available. As a proof of concept, we determined a domain structure that is in accordance with previously described secondary structural models. Importantly, we identified four additional small (200–300 nt), previously unreported domains present in these molecules. Moreover, the single-molecule nature of our method enabled us to report on the relative conformational variability of each domain structure identified, and inter-domain associations within subsets of molecules leading to molecular compaction, which may shed light on the process of how these molecules fold into the final tertiary structure.
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spelling pubmed-57372162018-01-08 Visualization of conformational variability in the domains of long single-stranded RNA molecules Gilmore, Jamie L. Yoshida, Aiko Hejna, James A. Takeyasu, Kunio Nucleic Acids Res RNA We demonstrate an application of atomic force microscopy (AFM) for the structural analysis of long single-stranded RNA (>1 kb), focusing on 28S ribosomal RNA (rRNA). Generally, optimization of the conditions required to obtain three-dimensional (3D) structures of long RNA molecules is a challenging or nearly impossible process. In this study, we overcome these limitations by developing a method using AFM imaging combined with automated, MATLAB-based image analysis algorithms for extracting information about the domain organization of single RNA molecules. We examined the 5 kb human 28S rRNA since it is the largest RNA molecule for which a 3D structure is available. As a proof of concept, we determined a domain structure that is in accordance with previously described secondary structural models. Importantly, we identified four additional small (200–300 nt), previously unreported domains present in these molecules. Moreover, the single-molecule nature of our method enabled us to report on the relative conformational variability of each domain structure identified, and inter-domain associations within subsets of molecules leading to molecular compaction, which may shed light on the process of how these molecules fold into the final tertiary structure. Oxford University Press 2017-08-21 2017-06-07 /pmc/articles/PMC5737216/ /pubmed/28591846 http://dx.doi.org/10.1093/nar/gkx502 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle RNA
Gilmore, Jamie L.
Yoshida, Aiko
Hejna, James A.
Takeyasu, Kunio
Visualization of conformational variability in the domains of long single-stranded RNA molecules
title Visualization of conformational variability in the domains of long single-stranded RNA molecules
title_full Visualization of conformational variability in the domains of long single-stranded RNA molecules
title_fullStr Visualization of conformational variability in the domains of long single-stranded RNA molecules
title_full_unstemmed Visualization of conformational variability in the domains of long single-stranded RNA molecules
title_short Visualization of conformational variability in the domains of long single-stranded RNA molecules
title_sort visualization of conformational variability in the domains of long single-stranded rna molecules
topic RNA
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737216/
https://www.ncbi.nlm.nih.gov/pubmed/28591846
http://dx.doi.org/10.1093/nar/gkx502
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