2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session Q08: Molecular Machines II
3:00 PM–5:48 PM,
Wednesday, March 8, 2023
Room: Room 131
Sponsoring
Unit:
DBIO
Chair: Jin Yu, University of California-Irvine
Abstract: Q08.00007 : Speedy synthetic DNA motors are on a roll*
5:00 PM–5:36 PM
Abstract
Presenter:
Khalid Salaita
(Emory University)
Authors:
Khalid Salaita
(Emory University)
Selma Piranej
(Emory University)
DNA-based machines that walk by converting chemical energy into controlled motion could be useful in applications such as next-generation sensors, drug-delivery platforms and biological computing. Despite their exquisite programmability, DNA-based walkers are challenging to work with because of their low fidelity and slow rates (∼1 nm min–1). It would be highly desirable to create synthetic motors that can start to approach the performance of biological motor proteins such as myosin and dynein. In this talk, I will describe the development of DNA-based machines that roll rather than walk, and consequently have a maximum speed and processivity that is three orders of magnitude greater than the maximum for conventional DNA motors. The motors are made from DNA-coated spherical particles that hybridize to a surface modified with complementary RNA; the motion is achieved through the addition of RNase H, which selectively hydrolyses the hybridized RNA but not single stranded RNA. This type of motion has been described as a burnt-bridge Brownian ratchet. The spherical motors can move in a self-avoiding manner, and anisotropic particles, such as dimerized or rod-shaped particles, can travel linearly (balistically) without a track or external force. Motors display speeds of ~microns per minute and millimeter processivity which is starting to approach the speed and processivity of biological motors. I will highlight our recent work integrating logic gate operations into the motors to control their stop and go motion. I will also show that the motors can be used to detect SARS-CoV-2 whole virions and single nucleotide polymorphisms (SNPs) by measuring particle displacement using a smartphone camera. This type of sensing is of interest because it is far-from-equilibrium and thus provides a new conceptual approach to chemical sensing that is based on mechanotransduction. Finally, I will show that this type of motion is highly generalizable, spanning cargo that range in size from 10 nm to 10’s of microns.
*NIH U01AA029345-01, NSF DMR 1905947 and NSF MSN 2004126