Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding
Author(s) -
Eric J. Strobel,
Kyle E. Watters,
Yuri A. Nedialkov,
Irina Artsimovitch,
Julius B. Lucks
Publication year - 2017
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkx233
Subject(s) - biology , rna , computational biology , transcription (linguistics) , riboswitch , oligonucleotide , genetics , dna , non coding rna , gene , linguistics , philosophy
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.
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