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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
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. |
format | Online Article Text |
id | pubmed-5737216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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