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Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding
RNA folding during transcription directs an order of folding that can determine RNA structure and function. However, the experimental study of cotranscriptional RNA folding has been limited by the lack of easily approachable methods that can interrogate nascent RNA structure at nucleotide resolution...
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/PMC5499547/ https://www.ncbi.nlm.nih.gov/pubmed/28398514 http://dx.doi.org/10.1093/nar/gkx233 |
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author | Strobel, Eric J. Watters, Kyle E. Nedialkov, Yuri Artsimovitch, Irina Lucks, Julius B. |
author_facet | Strobel, Eric J. Watters, Kyle E. Nedialkov, Yuri Artsimovitch, Irina Lucks, Julius B. |
author_sort | Strobel, Eric J. |
collection | PubMed |
description | RNA folding during transcription directs an order of folding that can determine RNA structure and function. However, the experimental study of cotranscriptional RNA folding has been limited by the lack of easily approachable methods that can interrogate nascent RNA structure at nucleotide resolution. To address this, we previously developed cotranscriptional selective 2΄-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq) to simultaneously probe all intermediate RNA transcripts during transcription by stalling elongation complexes at catalytically dead EcoRI(E111Q) roadblocks. While effective, the distribution of elongation complexes using EcoRI(E111Q) requires laborious PCR using many different oligonucleotides for each sequence analyzed. Here, we improve the broad applicability of cotranscriptional SHAPE-Seq by developing a sequence-independent biotin–streptavidin (SAv) roadblocking strategy that simplifies the preparation of roadblocking DNA templates. We first determine the properties of biotin–SAv roadblocks. We then show that randomly distributed biotin–SAv roadblocks can be used in cotranscriptional SHAPE-Seq experiments to identify the same RNA structural transitions related to a riboswitch decision-making process that we previously identified using EcoRI(E111Q). Lastly, we find that EcoRI(E111Q) maps nascent RNA structure to specific transcript lengths more precisely than biotin–SAv and propose guidelines to leverage the complementary strengths of each transcription roadblock in cotranscriptional SHAPE-Seq. |
format | Online Article Text |
id | pubmed-5499547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54995472017-07-10 Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding Strobel, Eric J. Watters, Kyle E. Nedialkov, Yuri Artsimovitch, Irina Lucks, Julius B. Nucleic Acids Res Methods Online RNA folding during transcription directs an order of folding that can determine RNA structure and function. However, the experimental study of cotranscriptional RNA folding has been limited by the lack of easily approachable methods that can interrogate nascent RNA structure at nucleotide resolution. To address this, we previously developed cotranscriptional selective 2΄-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq) to simultaneously probe all intermediate RNA transcripts during transcription by stalling elongation complexes at catalytically dead EcoRI(E111Q) roadblocks. While effective, the distribution of elongation complexes using EcoRI(E111Q) requires laborious PCR using many different oligonucleotides for each sequence analyzed. Here, we improve the broad applicability of cotranscriptional SHAPE-Seq by developing a sequence-independent biotin–streptavidin (SAv) roadblocking strategy that simplifies the preparation of roadblocking DNA templates. We first determine the properties of biotin–SAv roadblocks. We then show that randomly distributed biotin–SAv roadblocks can be used in cotranscriptional SHAPE-Seq experiments to identify the same RNA structural transitions related to a riboswitch decision-making process that we previously identified using EcoRI(E111Q). Lastly, we find that EcoRI(E111Q) maps nascent RNA structure to specific transcript lengths more precisely than biotin–SAv and propose guidelines to leverage the complementary strengths of each transcription roadblock in cotranscriptional SHAPE-Seq. Oxford University Press 2017-07-07 2017-04-08 /pmc/articles/PMC5499547/ /pubmed/28398514 http://dx.doi.org/10.1093/nar/gkx233 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Strobel, Eric J. Watters, Kyle E. Nedialkov, Yuri Artsimovitch, Irina Lucks, Julius B. Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title | Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title_full | Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title_fullStr | Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title_full_unstemmed | Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title_short | Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding |
title_sort | distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional rna folding |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499547/ https://www.ncbi.nlm.nih.gov/pubmed/28398514 http://dx.doi.org/10.1093/nar/gkx233 |
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