Self-assembly of multi-stranded RNA motifs into lattices and tubular structures
Abstract
Rational design of nucleic acidmolecules yields selfassembling scaffolds with increasing complexity, size and functionality. It is an open question whether design methods tailored to build DNA nanostructures can be adapted to build RNA nanostructures with comparable features. We demonstrate the formation of RNA lattices and tubular assemblies from double crossover (DX) tiles, a canonical motif in DNA nanotechnology. Tubular structures can exceed 1 m in length, suggesting that this DX motif can produce very robust lattices. Some of these tubes spontaneously form with left-handed chirality. We obtain assemblies by using two methods: a protocol where gel-extracted RNA strands are slowly annealed, and a one-pot transcription and anneal procedure. We then identify the tile nick position as a structural requirement for lattice formation. These results demonstrate that stable RNA structures can be obtained with design tools imported from DNA nanotechnology. These large assemblies could be potentially integrated with a variety of functional RNA motifs for drug or nanoparticle delivery, or for colocalization of cellular components.
- Authors:
-
- Univ. of California, Riverside, CA (United States). Dept. of Bioengineering
- Univ. of California, Riverside, CA (United States). Dept. of Mechanical Engineering
- Publication Date:
- Research Org.:
- Univ. of California, Riverside, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Science Foundation (NSF)
- OSTI Identifier:
- 1389571
- Grant/Contract Number:
- SC0010595; DMR-1450747
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nucleic Acids Research
- Additional Journal Information:
- Journal Volume: 45; Journal Issue: 9; Journal ID: ISSN 0305-1048
- Publisher:
- Oxford University Press
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; dna; gel; rna
Citation Formats
Stewart, Jaimie Marie, Subramanian, Hari K. K., and Franco, Elisa. Self-assembly of multi-stranded RNA motifs into lattices and tubular structures. United States: N. p., 2017.
Web. doi:10.1093/nar/gkx063.
Stewart, Jaimie Marie, Subramanian, Hari K. K., & Franco, Elisa. Self-assembly of multi-stranded RNA motifs into lattices and tubular structures. United States. https://doi.org/10.1093/nar/gkx063
Stewart, Jaimie Marie, Subramanian, Hari K. K., and Franco, Elisa. Thu .
"Self-assembly of multi-stranded RNA motifs into lattices and tubular structures". United States. https://doi.org/10.1093/nar/gkx063. https://www.osti.gov/servlets/purl/1389571.
@article{osti_1389571,
title = {Self-assembly of multi-stranded RNA motifs into lattices and tubular structures},
author = {Stewart, Jaimie Marie and Subramanian, Hari K. K. and Franco, Elisa},
abstractNote = {Rational design of nucleic acidmolecules yields selfassembling scaffolds with increasing complexity, size and functionality. It is an open question whether design methods tailored to build DNA nanostructures can be adapted to build RNA nanostructures with comparable features. We demonstrate the formation of RNA lattices and tubular assemblies from double crossover (DX) tiles, a canonical motif in DNA nanotechnology. Tubular structures can exceed 1 m in length, suggesting that this DX motif can produce very robust lattices. Some of these tubes spontaneously form with left-handed chirality. We obtain assemblies by using two methods: a protocol where gel-extracted RNA strands are slowly annealed, and a one-pot transcription and anneal procedure. We then identify the tile nick position as a structural requirement for lattice formation. These results demonstrate that stable RNA structures can be obtained with design tools imported from DNA nanotechnology. These large assemblies could be potentially integrated with a variety of functional RNA motifs for drug or nanoparticle delivery, or for colocalization of cellular components.},
doi = {10.1093/nar/gkx063},
journal = {Nucleic Acids Research},
number = 9,
volume = 45,
place = {United States},
year = {Thu Feb 16 00:00:00 EST 2017},
month = {Thu Feb 16 00:00:00 EST 2017}
}
Web of Science
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