Issue 15, 2014

Intelligent layered nanoflare: “lab-on-a-nanoparticle” for multiple DNA logic gate operations and efficient intracellular delivery

Abstract

DNA strand displacement cascades have been engineered to construct various fascinating DNA circuits. However, biological applications are limited by the insufficient cellular internalization of naked DNA structures, as well as the separated multicomponent feature. In this work, these problems are addressed by the development of a novel DNA nanodevice, termed intelligent layered nanoflare, which integrates DNA computing at the nanoscale, via the self-assembly of DNA flares on a single gold nanoparticle. As a “lab-on-a-nanoparticle”, the intelligent layered nanoflare could be engineered to perform a variety of Boolean logic gate operations, including three basic logic gates, one three-input AND gate, and two complex logic operations, in a digital non-leaky way. In addition, the layered nanoflare can serve as a programmable strategy to sequentially tune the size of nanoparticles, as well as a new fingerprint spectrum technique for intelligent multiplex biosensing. More importantly, the nanoflare developed here can also act as a single entity for intracellular DNA logic gate delivery, without the need of commercial transfection agents or other auxiliary carriers. By incorporating DNA circuits on nanoparticles, the presented layered nanoflare will broaden the applications of DNA circuits in biological systems, and facilitate the development of DNA nanotechnology.

Graphical abstract: Intelligent layered nanoflare: “lab-on-a-nanoparticle” for multiple DNA logic gate operations and efficient intracellular delivery

Supplementary files

Article information

Article type
Paper
Submitted
02 Apr 2014
Accepted
29 May 2014
First published
04 Jun 2014

Nanoscale, 2014,6, 8990-8996

Author version available

Intelligent layered nanoflare: “lab-on-a-nanoparticle” for multiple DNA logic gate operations and efficient intracellular delivery

B. Yang, X. Zhang, L. Kang, Z. Huang, G. Shen, R. Yu and W. Tan, Nanoscale, 2014, 6, 8990 DOI: 10.1039/C4NR01676A

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