1
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McCann H, Meade C, Williams L, Petrov A, Johnson P, Simon A, Hoksza D, Nawrocki E, Chan P, Lowe T, Ribas C, Sweeney B, Madeira F, Anyango S, Appasamy S, Deshpande M, Varadi M, Velankar S, Zirbel C, Naiden A, Jossinet F, Petrov A. R2DT: a comprehensive platform for visualizing RNA secondary structure. Nucleic Acids Res 2025; 53:gkaf032. [PMID: 39921562 PMCID: PMC11806352 DOI: 10.1093/nar/gkaf032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Revised: 12/17/2024] [Accepted: 01/14/2025] [Indexed: 02/10/2025] Open
Abstract
RNA secondary (2D) structure visualization is an essential tool for understanding RNA function. R2DT is a software package designed to visualize RNA 2D structures in consistent, recognizable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms or SHAPE reactivities. It also offers a new template-free mode allowing visualization of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualizations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualization, accessible at https://r2dt.bio.
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Affiliation(s)
- Holly McCann
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
- Department of Biomedical Data Science, Stanford University, Palo Alto, CA, 94305-5102, United States
| | - Caeden D Meade
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
| | - Loren Dean Williams
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
| | - Anton S Petrov
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, United States
| | - Philip Z Johnson
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, United States
| | - Anne E Simon
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, United States
| | - David Hoksza
- Department of Software Engineering, Charles University, Prague 118 00, Czech Republic
| | - Eric P Nawrocki
- National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States
| | - Patricia P Chan
- Department of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, United States
| | - Todd M Lowe
- Department of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, United States
| | - Carlos Eduardo Ribas
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Blake A Sweeney
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Fábio Madeira
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Stephen Anyango
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sri Devan Appasamy
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Mandar Deshpande
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Mihaly Varadi
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sameer Velankar
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Craig L Zirbel
- Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, United States
| | | | - Fabrice Jossinet
- Faculty of Life Sciences, University of Strasbourg, Strasbourg 67000, France
| | - Anton I Petrov
- Riboscope Ltd, 23 King Street, Cambridge CB1 1AH, United Kingdom
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2
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Schärfen L, Vock IW, Simon MD, Neugebauer KM. Rapid folding of nascent RNA regulates eukaryotic RNA biogenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.26.625435. [PMID: 39651172 PMCID: PMC11623619 DOI: 10.1101/2024.11.26.625435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2024]
Abstract
An RNA's catalytic, regulatory, or coding potential depends on RNA structure formation. Because base pairing occurs during transcription, early structural states can govern RNA processing events and dictate the formation of functional conformations. These co-transcriptional states remain unknown. Here, we develop CoSTseq, which detects nascent RNA base pairing within and upon exit from RNA polymerases (Pols) transcriptome-wide in living yeast cells. By monitoring each nucleotide's base pairing activity during transcription, we identify distinct classes of behaviors. While 47% of rRNA nucleotides remain unpaired, rapid and delayed base pairing - with rates of 48.5 and 13.2 kb -1 of transcribed rDNA, respectively - typically completes when Pol I is only 25 bp downstream. We show that helicases act immediately to remodel structures across the rDNA locus and facilitate ribosome biogenesis. In contrast, nascent pre-mRNAs attain local structures indistinguishable from mature mRNAs, suggesting that refolding behind elongating ribosomes resembles co-transcriptional folding behind Pol II.
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3
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McCann H, Meade CD, Williams LD, Petrov AS, Johnson PZ, Simon AE, Hoksza D, Nawrocki EP, Chan PP, Lowe TM, Ribas CE, Sweeney BA, Madeira F, Anyango S, Appasamy SD, Deshpande M, Varadi M, Velankar S, Zirbel CL, Naiden A, Jossinet F, Petrov AI. R2DT: A COMPREHENSIVE PLATFORM FOR VISUALISING RNA SECONDARY STRUCTURE. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.29.611006. [PMID: 39803519 PMCID: PMC11722224 DOI: 10.1101/2024.09.29.611006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/24/2025]
Abstract
RNA secondary (2D) structure visualisation is an essential tool for understanding RNA function. R2DT is a software package designed to visualise RNA 2D structures in consistent, recognisable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms (SNPs) or SHAPE reactivities. It also offers a new template-free mode allowing visualisation of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualisations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualisation, accessible at https://r2dt.bio.
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Affiliation(s)
- Holly McCann
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA
| | - Caeden D. Meade
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA
| | - Loren Dean Williams
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA
| | - Anton S. Petrov
- NASA Center for Integration of the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA
| | - Philip Z. Johnson
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
| | - Anne E. Simon
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
| | - David Hoksza
- Department of Software Engineering, Charles University, Prague, 118 00, Czech Republic
| | - Eric P. Nawrocki
- National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Patricia P. Chan
- Department of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA
| | - Todd M. Lowe
- Department of Biomolecular Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA
| | - Carlos Eduardo Ribas
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Blake A. Sweeney
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Fábio Madeira
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Stephen Anyango
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Sri Devan Appasamy
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Mandar Deshpande
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Mihaly Varadi
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Sameer Velankar
- European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK
| | - Craig L. Zirbel
- Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA
| | | | - Fabrice Jossinet
- Faculty of Life Sciences, University of Strasbourg, Strasbourg, 67000, France
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4
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Mitra R, Cohen AS, Rohs R. RNAscape: geometric mapping and customizable visualization of RNA structure. Nucleic Acids Res 2024; 52:W354-W361. [PMID: 38630617 PMCID: PMC11223802 DOI: 10.1093/nar/gkae269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/18/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024] Open
Abstract
Analyzing and visualizing the tertiary structure and complex interactions of RNA is essential for being able to mechanistically decipher their molecular functions in vivo. Secondary structure visualization software can portray many aspects of RNA; however, these layouts are often unable to preserve topological correspondence since they do not consider tertiary interactions between different regions of an RNA molecule. Likewise, quaternary interactions between two or more interacting RNA molecules are not considered in secondary structure visualization tools. The RNAscape webserver produces visualizations that can preserve topological correspondence while remaining both visually intuitive and structurally insightful. RNAscape achieves this by designing a mathematical structural mapping algorithm which prioritizes the helical segments, reflecting their tertiary organization. Non-helical segments are mapped in a way that minimizes structural clutter. RNAscape runs a plotting script that is designed to generate publication-quality images. RNAscape natively supports non-standard nucleotides, multiple base-pairing annotation styles and requires no programming experience. RNAscape can also be used to analyze RNA/DNA hybrid structures and DNA topologies, including G-quadruplexes. Users can upload their own three-dimensional structures or enter a Protein Data Bank (PDB) ID of an existing structure. The RNAscape webserver allows users to customize visualizations through various settings as desired. URL: https://rnascape.usc.edu/.
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Affiliation(s)
- Raktim Mitra
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
| | - Ari S Cohen
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
| | - Remo Rohs
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
- Department of Chemistry, University of Southern California, Los Angeles, CA 90089, USA
- Department of Physics and Astronomy, University of Southern California, Los Angeles, CA 90089, USA
- Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA
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5
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Waldl M, Spicher T, Lorenz R, Beckmann IK, Hofacker IL, Löhneysen SV, Stadler PF. Local RNA folding revisited. J Bioinform Comput Biol 2023; 21:2350016. [PMID: 37522173 DOI: 10.1142/s0219720023500166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Most of the functional RNA elements located within large transcripts are local. Local folding therefore serves a practically useful approximation to global structure prediction. Due to the sensitivity of RNA secondary structure prediction to the exact definition of sequence ends, accuracy can be increased by averaging local structure predictions over multiple, overlapping sequence windows. These averages can be computed efficiently by dynamic programming. Here we revisit the local folding problem, present a concise mathematical formalization that generalizes previous approaches and show that correct Boltzmann samples can be obtained by local stochastic backtracing in McCaskill's algorithms but not from local folding recursions. Corresponding new features are implemented in the ViennaRNA package to improve the support of local folding. Applications include the computation of maximum expected accuracy structures from RNAplfold data and a mutual information measure to quantify the sensitivity of individual sequence positions.
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Affiliation(s)
- Maria Waldl
- Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090 Wien, Austria
| | - Thomas Spicher
- Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090 Wien, Austria
| | - Ronny Lorenz
- Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090 Wien, Austria
| | - Irene K Beckmann
- Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090 Wien, Austria
| | - Ivo L Hofacker
- Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090 Wien, Austria
| | - Sarah Von Löhneysen
- Institute of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, D-04107 Leipzig, Germany
| | - Peter F Stadler
- Institute of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, D-04107 Leipzig, Germany
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6
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Nety SP, Altae-Tran H, Kannan S, Demircioglu FE, Faure G, Hirano S, Mears K, Zhang Y, Macrae RK, Zhang F. The Transposon-Encoded Protein TnpB Processes Its Own mRNA into ωRNA for Guided Nuclease Activity. CRISPR J 2023; 6:232-242. [PMID: 37272862 PMCID: PMC10278001 DOI: 10.1089/crispr.2023.0015] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/21/2023] [Indexed: 06/06/2023] Open
Abstract
TnpB is a member of the Obligate Mobile Element Guided Activity (OMEGA) RNA-guided nuclease family, is harbored in transposons, and likely functions to maintain the transposon in genomes. Previously, it was shown that TnpB cleaves double- and single-stranded DNA substrates in an RNA-guided manner, but the biogenesis of the TnpB ribonucleoprotein (RNP) complex is unknown. Using in vitro purified apo TnpB, we demonstrate the ability of TnpB to generate guide omegaRNA (ωRNA) from its own mRNA through 5' processing. We also uncover a potential cis-regulatory mechanism whereby a region of the TnpB mRNA inhibits DNA cleavage by the RNP complex. We further expand the characterization of TnpB by examining ωRNA processing and RNA-guided nuclease activity in 59 orthologs spanning the natural diversity of the TnpB family. This work reveals a new functionality, ωRNA biogenesis, of TnpB, and characterizes additional members of this biotechnologically useful family of programmable enzymes.
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Affiliation(s)
- Suchita P. Nety
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Han Altae-Tran
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Soumya Kannan
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - F. Esra Demircioglu
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Guilhem Faure
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Seiichi Hirano
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Kepler Mears
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Yugang Zhang
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Rhiannon K. Macrae
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Feng Zhang
- Howard Hughes Medical Institute, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research at MIT, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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7
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Johnson PZ, Simon AE. RNAcanvas: interactive drawing and exploration of nucleic acid structures. Nucleic Acids Res 2023:7137443. [PMID: 37094080 DOI: 10.1093/nar/gkad302] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/15/2023] [Accepted: 04/21/2023] [Indexed: 04/26/2023] Open
Abstract
Two-dimensional drawing of nucleic acid structures, particularly RNA structures, is fundamental to the communication of nucleic acids research. However, manually drawing structures is laborious and infeasible for structures thousands of nucleotides long. RNAcanvas automatically arranges residues into strictly shaped stems and loops while providing robust interactive editing features, including click-and-drag layout adjustment. Drawn elements are highly customizable in a point-and-click manner, including colours, fonts, size and shading, flexible numbering, and outlining of bases. Tertiary interactions can be drawn as draggable, curved lines. Leontis-Westhof notation for depicting non-canonical base-pairs is fully supported, as well as text labels for structural features (e.g. hairpins). RNAcanvas also has many unique features and performance optimizations for large structures that cannot be correctly predicted and require manual refinement based on the researcher's own analyses and expertise. To this end, RNAcanvas has point-and-click structure editing with real-time highlighting of complementary sequences and motif search functionality, novel features that greatly aid in the identification of putative long-range tertiary interactions, de novo analysis of local structures, and phylogenetic comparisons. For ease in producing publication quality figures, drawings can be exported in both SVG and PowerPoint formats. URL: https://rnacanvas.app.
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Affiliation(s)
- Philip Z Johnson
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD20742, USA
| | - Anne E Simon
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD20742, USA
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8
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Wang H, Lu X, Zheng H, Wang W, Zhang G, Wang S, Lin P, Zhuang Y, Chen C, Chen Q, Qu J, Xu L. RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects. Comput Struct Biotechnol J 2023; 21:965-973. [PMID: 36733704 PMCID: PMC9876829 DOI: 10.1016/j.csbj.2023.01.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/06/2023] [Accepted: 01/07/2023] [Indexed: 01/11/2023] Open
Abstract
RNA structure plays a crucial role in gene regulation, in RNA stability and the essential biological processes. RNA secondary structure (RSS) motifs are the basic building blocks for investigating the biological mechanisms of structure. Here, we present a strategy for structural motif-based dynamic alignment, namely, RNA secondary-structural motif-comparing (RNAsmc), to identify structural motifs and quantitatively evaluate their underlying molecular functions. RNAsmc also has strong robustness to sequence length, folding protocol and RNA structural profile by chemical probing. Notably, it is also applicable to quantify structural variation in special RNA editing events (SNVs or SNPs, fragment insertion or deletion, etc.). The findings indicate that RNAsmc can uncover the heterogeneity of RNA secondary structure and score for similarities among components, which provides an impetus to cluster RNA families and evaluate allosteric effects. We find that RNAsmc exhibits remarkable detection efficiency for experimentally-derived RiboSNitches. Finally, the pipeline was assembled into an R software package to serve as an automated toolkit to explore, align, and cluster RSS. It is freely available for download at https://CRAN.R-project.org/package=RNAsmc.
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Affiliation(s)
- Hong Wang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- Center of Optometry International Innovation of Wenzhou, Eye Valley, Wenzhou 325027, China
| | - Xiaoyan Lu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Hewei Zheng
- Wekemo Tech Group Co., Ltd. Shenzhen 518000, China
| | - Wencan Wang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- Wenzhou Realdata Medical Research Co., Ltd, Wenzhou 325027, China
| | - Guosi Zhang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Siyu Wang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Peng Lin
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Youyuan Zhuang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Chong Chen
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Qi Chen
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Jia Qu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- Center of Optometry International Innovation of Wenzhou, Eye Valley, Wenzhou 325027, China
- Corresponding authors at: National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Liangde Xu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- Center of Optometry International Innovation of Wenzhou, Eye Valley, Wenzhou 325027, China
- Corresponding authors at: National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
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9
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Grzejda D, Mach J, Schweizer JA, Hummel B, Rezansoff AM, Eggenhofer F, Panhale A, Lalioti ME, Cabezas Wallscheid N, Backofen R, Felsenberg J, Hilgers V. The long noncoding RNA mimi scaffolds neuronal granules to maintain nervous system maturity. SCIENCE ADVANCES 2022; 8:eabo5578. [PMID: 36170367 PMCID: PMC9519039 DOI: 10.1126/sciadv.abo5578] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/15/2022] [Indexed: 05/29/2023]
Abstract
RNA binding proteins and messenger RNAs (mRNAs) assemble into ribonucleoprotein granules that regulate mRNA trafficking, local translation, and turnover. The dysregulation of RNA-protein condensation disturbs synaptic plasticity and neuron survival and has been widely associated with human neurological disease. Neuronal granules are thought to condense around particular proteins that dictate the identity and composition of each granule type. Here, we show in Drosophila that a previously uncharacterized long noncoding RNA, mimi, is required to scaffold large neuronal granules in the adult nervous system. Neuronal ELAV-like proteins directly bind mimi and mediate granule assembly, while Staufen maintains condensate integrity. mimi granules contain mRNAs and proteins involved in synaptic processes; granule loss in mimi mutant flies impairs nervous system maturity and neuropeptide-mediated signaling and causes phenotypes of neurodegeneration. Our work reports an architectural RNA for a neuronal granule and provides a handle to interrogate functions of a condensate independently of those of its constituent proteins.
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Affiliation(s)
- Dominika Grzejda
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
- Faculty of Biology, Albert Ludwig University of Freiburg, Freiburg 79104, Germany
- International Max Planck Research School for Molecular and Cellular Biology (IMPRS- MCB), Freiburg 79108, Germany
| | - Jana Mach
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
| | - Johanna Aurelia Schweizer
- Friedrich Miescher Institute for Biomedical Research (FMI), Basel 4058, Switzerland
- University of Basel, Basel 4001, Switzerland
| | - Barbara Hummel
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
| | | | - Florian Eggenhofer
- Department of Computer Science, Albert Ludwig University of Freiburg, Freiburg 79110, Germany
| | - Amol Panhale
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
| | - Maria-Eleni Lalioti
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
| | | | - Rolf Backofen
- Department of Computer Science, Albert Ludwig University of Freiburg, Freiburg 79110, Germany
- BIOSS and CIBSS Centres for Biological Signalling Studies, University of Freiburg, Freiburg 79104, Germany
| | - Johannes Felsenberg
- Friedrich Miescher Institute for Biomedical Research (FMI), Basel 4058, Switzerland
| | - Valérie Hilgers
- Max-Planck-Institute of Immunobiology and Epigenetics, Freiburg 79108, Germany
- CIBSS Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg 79104, Germany
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10
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Das R, Watkins AM. RiboDraw: semiautomated two-dimensional drawing of RNA tertiary structure diagrams. NAR Genom Bioinform 2021; 3:lqab091. [PMID: 34661102 PMCID: PMC8515840 DOI: 10.1093/nargab/lqab091] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/06/2021] [Accepted: 10/08/2021] [Indexed: 11/14/2022] Open
Abstract
Publishing, discussing, envisioning, modeling, designing and experimentally determining RNA three-dimensional (3D) structures involve preparation of two-dimensional (2D) drawings that depict critical functional features of the subject molecules, such as noncanonical base pairs and protein contacts. Here, we describe RiboDraw, new software for crafting these drawings. We illustrate the features of RiboDraw by applying it to several RNAs, including the Escherichia coli tRNA-Phe, the P4-P6 domain of Tetrahymena ribozyme, a -1 ribosomal frameshift stimulation element from beet western yellows virus and the 5' untranslated region of SARS-CoV-2. We show secondary structure diagrams of the 23S and 16S subunits of the E. coli ribosome that reflect noncanonical base pairs, ribosomal proteins and structural motifs, and that convey the relative positions of these critical features in 3D space. This software is a MATLAB package freely available at https://github.com/DasLab/RiboDraw.
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Affiliation(s)
- Rhiju Das
- Department of Physics, Stanford University, Stanford, CA 94305, USA
| | - Andrew M Watkins
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA
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11
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Sweeney BA, Hoksza D, Nawrocki EP, Ribas CE, Madeira F, Cannone JJ, Gutell R, Maddala A, Meade CD, Williams LD, Petrov AS, Chan PP, Lowe TM, Finn RD, Petrov AI. R2DT is a framework for predicting and visualising RNA secondary structure using templates. Nat Commun 2021; 12:3494. [PMID: 34108470 PMCID: PMC8190129 DOI: 10.1038/s41467-021-23555-5] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 05/04/2021] [Indexed: 02/05/2023] Open
Abstract
Non-coding RNAs (ncRNA) are essential for all life, and their functions often depend on their secondary (2D) and tertiary structure. Despite the abundance of software for the visualisation of ncRNAs, few automatically generate consistent and recognisable 2D layouts, which makes it challenging for users to construct, compare and analyse structures. Here, we present R2DT, a method for predicting and visualising a wide range of RNA structures in standardised layouts. R2DT is based on a library of 3,647 templates representing the majority of known structured RNAs. R2DT has been applied to ncRNA sequences from the RNAcentral database and produced >13 million diagrams, creating the world's largest RNA 2D structure dataset. The software is amenable to community expansion, and is freely available at https://github.com/rnacentral/R2DT and a web server is found at https://rnacentral.org/r2dt .
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Affiliation(s)
- Blake A Sweeney
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - David Hoksza
- Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
| | - Eric P Nawrocki
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Carlos Eduardo Ribas
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Fábio Madeira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Jamie J Cannone
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Robin Gutell
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Aparna Maddala
- School of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA
| | - Caeden D Meade
- School of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA
| | - Loren Dean Williams
- School of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA
| | - Anton S Petrov
- School of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA
| | - Patricia P Chan
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Todd M Lowe
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Robert D Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Anton I Petrov
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
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12
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Wang H, Li J, Wang S, Lu X, Zhang G, Zhuang Y, Li L, Wang W, Lin P, Chen C, Wang H, Chen Q, Jiang Y, Qu J, Xu L. Contribution of structural accessibility to the cooperative relationship of TF-lncRNA in myopia. Brief Bioinform 2021; 22:6217725. [PMID: 33834194 DOI: 10.1093/bib/bbab082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/18/2021] [Accepted: 02/22/2021] [Indexed: 11/12/2022] Open
Abstract
Transcriptional regulation is associated with complicated mechanisms including multiple molecular interactions and collaborative drive. Long noncoding RNAs (lncRNAs) have highly structured characteristics and play vital roles in the regulation of transcription in organisms. However, the specific contributions of conformation feature and underlying molecular mechanisms are still unclear. In the present paper, a hypothesis regarding molecular structure effect is presented, which proposes that lncRNAs fold into a complex spatial architecture and act as a skeleton to recruit transcription factors (TF) targeted binding, and which is involved in cooperative regulation. A candidate set of TF-lncRNA coregulation was constructed, and it was found that structural accessibility affected molecular binding force. In addition, transcription factor binding site (TFBS) regions of myopia-related lncRNA transcripts were disturbed, and it was discovered that base mutations affected the occurrence of significant molecular allosteric changes in important elements and variable splicing regions, mediating the onset and development of myopia. The results originated from structureomics and interactionomics and created conditions for systematic research on the mechanisms of structure-mediated TF-lncRNA coregulation in transcriptional regulation. Finally, these findings will help further the understanding of key regulatory roles of molecular allostery in cell physiological and pathological processes.
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Affiliation(s)
- Hong Wang
- School of Ophthalmology & Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University and cooperates with College of Bioinformatics Science and Technology at Harbin Medical University, Wenzhou 325027, P. R. China
| | - Jing Li
- College of Bioinformatics Science and Technology at Harbin Medical University, Wenzhou 325027, P. R. China
| | - Siyu Wang
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Xiaoyan Lu
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Guosi Zhang
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Youyuan Zhuang
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Liansheng Li
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Wencan Wang
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Peng Lin
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Chong Chen
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Hao Wang
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Qi Chen
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology at Harbin Medical University, Wenzhou 325027, P. R. China
| | - Jia Qu
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
| | - Liangde Xu
- School of Ophthalmology and Optometry and Eye Hospital, School of Biomedical Engineering at Wenzhou Medical University, Wenzhou 325027, P. R. China
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