Programming Structured DNA Assemblies to Probe Biophysical Processes
Name
nihms-1558332.pdf
Description
Accepted version
Size
2.22 MB
Format
Adobe PDF
Checksum (MD5)
43cc7b2b2f6555323acfdacc65780044
Author(s)
Wamhoff, Eike-Christian
Banal, James L.
Bricker, William P
Shepherd, Tyson R
Parsons, Molly F.
Veneziano, Remi
Stone, Matthew B.
Jun, Hyungmin
Wang, Xiao
Bathe, Mark
Date Issued
May 2019
Journal
Annual Review of Biophysics
Publisher
Annual Reviews
Citation
Wamhoff, Eike-Christian et al. “Programming Structured DNA Assemblies to Probe Biophysical Processes.” Annual Review of Biophysics 48 (2019): 395-419 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
Structural DNA nanotechnology is beginning to emerge as a widely accessible research tool to mechanistically study diverse biophysical processes. Enabled by scaffolded DNA origami in which a long single strand of DNA is weaved throughout an entire target nucleic acid assembly to ensure its proper folding, assemblies of nearly any geometric shape can now be programmed in a fully automatic manner to interface with biology on the 1-100-nm scale. Here, we review the major design and synthesis principles that have enabled the fabrication of a specific subclass of scaffolded DNA origami objects called wireframe assemblies. These objects offer unprecedented control over the nanoscale organization of biomolecules, including biomolecular copy numbers, presentation on convex or concave geometries, and internal versus external functionalization, in addition to stability in physiological buffer. To highlight the power and versatility of this synthetic structural biology approach to probing molecular and cellular biophysics, we feature its application to three leading areas of investigation: light harvesting and nanoscale energy transport, RNA structural biology, and immune receptor signaling, with an outlook toward unique mechanistic insight that may be gained in these areas in the coming decade.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1146/ANNUREV-BIOPHYS-052118-115259
