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      Long-read single-molecule RNA structure sequencing using nanopore

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          Abstract

          RNA molecules can form secondary and tertiary structures that can regulate their localization and function. Using enzymatic or chemical probing together with high-throughput sequencing, secondary structure can be mapped across the entire transcriptome. However, a limiting factor is that only population averages can be obtained since each read is an independent measurement. Although long-read sequencing has recently been used to determine RNA structure, these methods still used aggregate signals across the strands to detect structure. Averaging across the population also means that only limited information about structural heterogeneity across molecules or dependencies within each molecule can be obtained. Here, we present Single-Molecule Structure sequencing (SMS-seq) that combines structural probing with native RNA sequencing to provide non-amplified, structural profiles of individual molecules with novel analysis methods. Our new approach using mutual information enabled single molecule structural interrogation. Each RNA is probed at numerous bases enabling the discovery of dependencies and heterogeneity of structural features. We also show that SMS-seq can capture tertiary interactions, dynamics of riboswitch ligand binding, and mRNA structural features.

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          Most cited references34

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          Minimap2: pairwise alignment for nucleotide sequences

          Heng Li (2018)
          Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length. Existing alignment programs are unable or inefficient to process such data at scale, which presses for the development of new alignment algorithms.
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            ViennaRNA Package 2.0

            Background Secondary structure forms an important intermediate level of description of nucleic acids that encapsulates the dominating part of the folding energy, is often well conserved in evolution, and is routinely used as a basis to explain experimental findings. Based on carefully measured thermodynamic parameters, exact dynamic programming algorithms can be used to compute ground states, base pairing probabilities, as well as thermodynamic properties. Results The ViennaRNA Package has been a widely used compilation of RNA secondary structure related computer programs for nearly two decades. Major changes in the structure of the standard energy model, the Turner 2004 parameters, the pervasive use of multi-core CPUs, and an increasing number of algorithmic variants prompted a major technical overhaul of both the underlying RNAlib and the interactive user programs. New features include an expanded repertoire of tools to assess RNA-RNA interactions and restricted ensembles of structures, additional output information such as centroid structures and maximum expected accuracy structures derived from base pairing probabilities, or z-scores for locally stable secondary structures, and support for input in fasta format. Updates were implemented without compromising the computational efficiency of the core algorithms and ensuring compatibility with earlier versions. Conclusions The ViennaRNA Package 2.0, supporting concurrent computations via OpenMP, can be downloaded from http://www.tbi.univie.ac.at/RNA.
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              Thiamine derivatives bind messenger RNAs directly to regulate bacterial gene expression.

              Although proteins fulfil most of the requirements that biology has for structural and functional components such as enzymes and receptors, RNA can also serve in these capacities. For example, RNA has sufficient structural plasticity to form ribozyme and receptor elements that exhibit considerable enzymatic power and binding specificity. Moreover, these activities can be combined to create allosteric ribozymes that are modulated by effector molecules. It has also been proposed that certain messenger RNAs might use allosteric mechanisms to mediate regulatory responses depending on specific metabolites. We report here that mRNAs encoding enzymes involved in thiamine (vitamin B(1)) biosynthesis in Escherichia coli can bind thiamine or its pyrophosphate derivative without the need for protein cofactors. The mRNA-effector complex adopts a distinct structure that sequesters the ribosome-binding site and leads to a reduction in gene expression. This metabolite-sensing regulatory system provides an example of a 'riboswitch' whose evolutionary origin might pre-date the emergence of proteins.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                11 November 2022
                27 September 2022
                27 September 2022
                : 50
                : 20
                : e120
                Affiliations
                Computational Biology Unit, Department of Informatics, University of Bergen , Norway
                Sars International Center for Marine Molecular Biology, University of Bergen , Norway
                Computational Biology Unit, Department of Informatics, University of Bergen , Norway
                Department of Chemistry, University of Tromsø , Norway
                Computational Biology Unit, Department of Informatics, University of Bergen , Norway
                Computational Biology Unit, Department of Informatics, University of Bergen , Norway
                Computational Biology Unit, Department of Informatics, University of Bergen , Norway
                Sars International Center for Marine Molecular Biology, University of Bergen , Norway
                Author notes
                To whom correspondence should be addressed. Email: eivind.valen@ 123456uib.no
                Author information
                https://orcid.org/0000-0003-2080-5466
                https://orcid.org/0000-0002-1262-2611
                https://orcid.org/0000-0003-1840-6108
                Article
                gkac775
                10.1093/nar/gkac775
                9723614
                36166000
                1c5c32f3-1382-4f0a-a148-f5d05633ff19
                © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 August 2022
                : 16 August 2022
                : 12 July 2022
                Page count
                Pages: 11
                Funding
                Funded by: Norwegian Research Council, DOI 10.13039/501100005416;
                Award ID: 250049
                Funded by: Trond Mohn Foundation, DOI 10.13039/100016190;
                Funded by: University of Bergen, DOI 10.13039/501100005036;
                Categories
                AcademicSubjects/SCI00010
                Narese/14
                Narese/22
                Methods Online

                Genetics
                Genetics

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