A cargo-sorting DNA robot.

Journal: Science (New York, N.Y.)
PMID:

Abstract

Two critical challenges in the design and synthesis of molecular robots are modularity and algorithm simplicity. We demonstrate three modular building blocks for a DNA robot that performs cargo sorting at the molecular level. A simple algorithm encoding recognition between cargos and their destinations allows for a simple robot design: a single-stranded DNA with one leg and two foot domains for walking, and one arm and one hand domain for picking up and dropping off cargos. The robot explores a two-dimensional testing ground on the surface of DNA origami, picks up multiple cargos of two types that are initially at unordered locations, and delivers them to specified destinations until all molecules are sorted into two distinct piles. The robot is designed to perform a random walk without any energy supply. Exploiting this feature, a single robot can repeatedly sort multiple cargos. Localization on DNA origami allows for distinct cargo-sorting tasks to take place simultaneously in one test tube or for multiple robots to collectively perform the same task.

Authors

  • Anupama J Thubagere
    Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Robert F Johnson
    Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Zibo Chen
    Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Shayan Doroudi
    Computer Science, California Institute of Technology, Pasadena, CA 91125, USA.
  • Yae Lim Lee
    Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Gregory Izatt
    Computer Science, California Institute of Technology, Pasadena, CA 91125, USA.
  • Sarah Wittman
    Computer Science, California Institute of Technology, Pasadena, CA 91125, USA.
  • Niranjan Srinivas
    Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA.
  • Damien Woods
    Computer Science, California Institute of Technology, Pasadena, CA 91125, USA. luluqian@caltech.edu.
  • Erik Winfree
    Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Lulu Qian
    Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA. luluqian@caltech.edu.