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Stewart JM. RNA nanotechnology on the horizon: Self-assembly, chemical modifications, and functional applications. Curr Opin Chem Biol 2024; 81:102479. [PMID: 38889473 DOI: 10.1016/j.cbpa.2024.102479] [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] [Received: 04/01/2024] [Revised: 05/20/2024] [Accepted: 05/25/2024] [Indexed: 06/20/2024]
Abstract
RNA nanotechnology harnesses the unique chemical and structural properties of RNA to build nanoassemblies and supramolecular structures with dynamic and functional capabilities. This review focuses on design and assembly approaches to building RNA structures, the RNA chemical modifications used to enhance stability and functionality, and modern-day applications in therapeutics, biosensing, and bioimaging.
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2
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Parsons MF, Allan MF, Li S, Shepherd TR, Ratanalert S, Zhang K, Pullen KM, Chiu W, Rouskin S, Bathe M. 3D RNA-scaffolded wireframe origami. Nat Commun 2023; 14:382. [PMID: 36693871 PMCID: PMC9872083 DOI: 10.1038/s41467-023-36156-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
Hybrid RNA:DNA origami, in which a long RNA scaffold strand folds into a target nanostructure via thermal annealing with complementary DNA oligos, has only been explored to a limited extent despite its unique potential for biomedical delivery of mRNA, tertiary structure characterization of long RNAs, and fabrication of artificial ribozymes. Here, we investigate design principles of three-dimensional wireframe RNA-scaffolded origami rendered as polyhedra composed of dual-duplex edges. We computationally design, fabricate, and characterize tetrahedra folded from an EGFP-encoding messenger RNA and de Bruijn sequences, an octahedron folded with M13 transcript RNA, and an octahedron and pentagonal bipyramids folded with 23S ribosomal RNA, demonstrating the ability to make diverse polyhedral shapes with distinct structural and functional RNA scaffolds. We characterize secondary and tertiary structures using dimethyl sulfate mutational profiling and cryo-electron microscopy, revealing insight into both global and local, base-level structures of origami. Our top-down sequence design strategy enables the use of long RNAs as functional scaffolds for complex wireframe origami.
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Affiliation(s)
- Molly F Parsons
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Matthew F Allan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Shanshan Li
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- MOE Key Laboratory for Cellular Dynamics and Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Tyson R Shepherd
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Inscripta, Inc., Boulder, CO, 80027, USA
| | - Sakul Ratanalert
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Kaiming Zhang
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- MOE Key Laboratory for Cellular Dynamics and Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Krista M Pullen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Wah Chiu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- CryoEM and Bioimaging Division, Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, 94025, USA
| | - Silvi Rouskin
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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3
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Elonen A, Natarajan AK, Kawamata I, Oesinghaus L, Mohammed A, Seitsonen J, Suzuki Y, Simmel FC, Kuzyk A, Orponen P. Algorithmic Design of 3D Wireframe RNA Polyhedra. ACS NANO 2022; 16:16608-16616. [PMID: 36178116 PMCID: PMC9620399 DOI: 10.1021/acsnano.2c06035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/26/2022] [Indexed: 06/01/2023]
Abstract
We address the problem of de novo design and synthesis of nucleic acid nanostructures, a challenge that has been considered in the area of DNA nanotechnology since the 1980s and more recently in the area of RNA nanotechnology. Toward this goal, we introduce a general algorithmic design process and software pipeline for rendering 3D wireframe polyhedral nanostructures in single-stranded RNA. To initiate the pipeline, the user creates a model of the desired polyhedron using standard 3D graphic design software. As its output, the pipeline produces an RNA nucleotide sequence whose corresponding RNA primary structure can be transcribed from a DNA template and folded in the laboratory. As case examples, we design and characterize experimentally three 3D RNA nanostructures: a tetrahedron, a triangular bipyramid, and a triangular prism. The design software is openly available and also provides an export of the targeted 3D structure into the oxDNA molecular dynamics simulator for easy simulation and visualization.
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Affiliation(s)
- Antti Elonen
- Department
of Computer Science, Aalto University, 00076 Aalto, Finland
| | | | - Ibuki Kawamata
- Department
of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8577, Japan
- Natural
Science Division, Faculty of Core Research, Ochanomizu University, Tokyo 112-8610, Japan
| | - Lukas Oesinghaus
- Physics
Department E14, Technical University Munich, 85748 Garching, Germany
| | - Abdulmelik Mohammed
- Department
of Computer Science, Aalto University, 00076 Aalto, Finland
- Department
of Biomedical Engineering, San José
State University, San José, California 95192, United States
| | - Jani Seitsonen
- Department
of Applied Physics and Nanomicroscopy Center, Aalto University, 00076 Aalto, Finland
| | - Yuki Suzuki
- Department
of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8577, Japan
- Frontier
Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8577, Japan
- Division
of Chemistry for Materials, Graduate School of Engineering, Mie University, Tsu 514-8507, Japan
| | - Friedrich C. Simmel
- Physics
Department E14, Technical University Munich, 85748 Garching, Germany
| | - Anton Kuzyk
- Department
of Neuroscience and Biomedical Engineering, Aalto University, 00076 Aalto, Finland
| | - Pekka Orponen
- Department
of Computer Science, Aalto University, 00076 Aalto, Finland
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4
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Liu D, Shao Y, Piccirilli JA, Weizmann Y. Structures of artificially designed discrete RNA nanoarchitectures at near-atomic resolution. SCIENCE ADVANCES 2021; 7:eabf4459. [PMID: 34550747 PMCID: PMC8457670 DOI: 10.1126/sciadv.abf4459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 08/02/2021] [Indexed: 05/11/2023]
Abstract
Although advances in nanotechnology have enabled the construction of complex and functional synthetic nucleic acid–based nanoarchitectures, high-resolution discrete structures are lacking because of the difficulty in obtaining good diffracting crystals. Here, we report the design and construction of RNA nanostructures based on homooligomerizable one-stranded tiles for x-ray crystallographic determination. We solved three structures to near-atomic resolution: a 2D parallelogram, a 3D nanobracelet unexpectedly formed from an RNA designed for a nanocage, and, eventually, a bona fide 3D nanocage designed with the guidance of the two previous structures. Structural details of their constituent motifs, such as kissing loops, branched kissing loops, and T-junctions, that resemble natural RNA motifs and resisted x-ray determination are revealed, providing insights into those natural motifs. This work unveils the largely unexplored potential of crystallography in gaining high-resolution feedback for nanoarchitectural design and suggests a route to investigate RNA motif structures by configuring them into nanoarchitectures.
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Affiliation(s)
- Di Liu
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA
| | - Yaming Shao
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Joseph A. Piccirilli
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Yossi Weizmann
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA
- Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
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5
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RNA origami design tools enable cotranscriptional folding of kilobase-sized nanoscaffolds. Nat Chem 2021; 13:549-558. [PMID: 33972754 PMCID: PMC7610888 DOI: 10.1038/s41557-021-00679-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 03/08/2021] [Indexed: 12/18/2022]
Abstract
RNA origami is a framework for the modular design of nanoscaffolds that can be folded from a single strand of RNA, and used to organize molecular components with nanoscale precision. Design of genetically expressible RNA origami, which must cotranscriptionally fold, requires modeling and design tools that simultaneously consider thermodynamics, folding pathway, sequence constraints, and pseudoknot optimization. Here, we describe RNA Origami Automated Design software (ROAD), which builds origami models from a library of structural modules, identifies potential folding barriers, and designs optimized sequences. Using ROAD, we extend the scale and functional diversity of RNA scaffolds, creating 32 designs of up to 2360 nucleotides, five that scaffold two proteins, and seven that scaffold two small molecules at precise distances. Micrographic and chromatographic comparison of optimized and nonoptimized structures validates that our principles for strand routing and sequence design substantially improve yield. By providing efficient design of RNA origami, ROAD may simplify construction of custom RNA scaffolds for nanomedicine and synthetic biology.
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Rubach P, Zajac S, Jastrzebski B, Sulkowska JI, Sułkowski P. Genus for biomolecules. Nucleic Acids Res 2020; 48:D1129-D1135. [PMID: 31584078 PMCID: PMC6943057 DOI: 10.1093/nar/gkz845] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/17/2019] [Accepted: 10/02/2019] [Indexed: 01/03/2023] Open
Abstract
The 'Genus for biomolecules' database (http://genus.fuw.edu.pl) collects information about topological structure and complexity of proteins and RNA chains, which is captured by the genus of a given chain and its subchains. For each biomolecule, this information is shown in the form of a genus trace plot, as well as a genus matrix diagram. We assemble such information for all and RNA structures deposited in the Protein Data Bank (PDB). This database presents also various statistics and extensive information about the biological function of the analyzed biomolecules. The database is regularly self-updating, once new structures are deposited in the PDB. Moreover, users can analyze their own structures.
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Affiliation(s)
- Paweł Rubach
- Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
- Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warsaw, Poland
| | - Sebastian Zajac
- Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warsaw, Poland
| | - Borys Jastrzebski
- Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Joanna I Sulkowska
- Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
- Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland
| | - Piotr Sułkowski
- Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland
- Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA 91125, USA
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7
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Genus trace reveals the topological complexity and domain structure of biomolecules. Sci Rep 2018; 8:17537. [PMID: 30510290 PMCID: PMC6277428 DOI: 10.1038/s41598-018-35557-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 11/01/2018] [Indexed: 01/19/2023] Open
Abstract
The structure of bonds in biomolecules, such as base pairs in RNA chains or native interactions in proteins, can be presented in the form of a chord diagram. A given biomolecule is then characterized by the genus of an auxiliary two-dimensional surface associated to such a diagram. In this work we introduce the notion of the genus trace, which describes dependence of genus on the choice of a subchain of a given backbone chain. We find that the genus trace encodes interesting physical and biological information about a given biomolecule and its three dimensional structural complexity; in particular it gives a way to quantify how much more complicated a biomolecule is than its nested secondary structure alone would indicate. We illustrate this statement in many examples, involving both RNA and protein chains. First, we conduct a survey of all published RNA structures with better than 3 Å resolution in the PDB database, and find that the genus of natural structural RNAs has roughly linear dependence on their length. Then, we show that the genus trace captures properties of various types of base pairs in RNA, and enables the identification of the domain structure of a ribosome. Furthermore, we find that not only does the genus trace detect a domain structure, but it also predicts a cooperative folding pattern in multi-domain proteins. The genus trace turns out to be a useful and versatile tool, with many potential applications.
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Condon A, Kirkpatrick B, Maňuch J. Design of nucleic acid strands with long low-barrier folding pathways. NATURAL COMPUTING 2017; 16:261-284. [PMID: 28690474 PMCID: PMC5480305 DOI: 10.1007/s11047-016-9587-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
A major goal of natural computing is to design biomolecules, such as nucleic acid sequences, that can be used to perform computations. We design sequences of nucleic acids that are "guaranteed" to have long folding pathways relative to their length. This particular sequences with high probability follow low-barrier folding pathways that visit a large number of distinct structures. Long folding pathways are interesting, because they demonstrate that natural computing can potentially support long and complex computations. Formally, we provide the first scalable designs of molecules whose low-barrier folding pathways, with respect to a simple, stacked pair energy model, grow superlinearly with the molecule length, but for which all significantly shorter alternative folding pathways have an energy barrier that is [Formula: see text] times that of the low-barrier pathway for any [Formula: see text] and a sufficiently long sequence.
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Affiliation(s)
- Anne Condon
- Department of Computer Science, University of British Columbia, Vancouver, Canada
| | | | - Ján Maňuch
- Department of Computer Science, University of British Columbia, Vancouver, Canada
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9
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Abstract
RNA nanostructures can be used as scaffolds to organize, combine, and control molecular functionalities, with great potential for applications in nanomedicine and synthetic biology. The single-stranded RNA origami method allows RNA nanostructures to be folded as they are transcribed by the RNA polymerase. RNA origami structures provide a stable framework that can be decorated with functional RNA elements such as riboswitches, ribozymes, interaction sites, and aptamers for binding small molecules or protein targets. The rich library of RNA structural and functional elements combined with the possibility to attach proteins through aptamer-based binding creates virtually limitless possibilities for constructing advanced RNA-based nanodevices.In this chapter we provide a detailed protocol for the single-stranded RNA origami design method using a simple 2-helix tall structure as an example. The first step involves 3D modeling of a double-crossover between two RNA double helices, followed by decoration with tertiary motifs. The second step deals with the construction of a 2D blueprint describing the secondary structure and sequence constraints that serves as the input for computer programs. In the third step, computer programs are used to design RNA sequences that are compatible with the structure, and the resulting outputs are evaluated and converted into DNA sequences to order.
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Affiliation(s)
| | - Cody W Geary
- iNANO, Aarhus University, Gustav Wieds Vej 14, Aarhus, 8000 C, Denmark
| | - Ebbe S Andersen
- iNANO, Aarhus University, Gustav Wieds Vej 14, Aarhus, 8000 C, Denmark.
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