Photocleavable DNA Nanotube-Based Dual-Amplified Resonance Rayleigh Scattering System for MicroRNA Detection Incorporating Molecular Computing-Cascaded Keypad Lock Functionality

Cascade molecular events in complex systems are of vital importance for enhancing molecular diagnosis and information processing. However, the conversion of a cascaded biosensing system into a multilayer encrypted molecular keypad lock remains a significant challenge in the development of molecular logic devices. In this study, we present a photocleavable DNA nanotube-based dual-amplified resonance Rayleigh scattering (RRS) system for detecting microRNA-126 (miR-126). The cascading dual-amplification biosensing system provides a multilayer-encrypted prototype with the functionality of a molecular computing cascade keypad lock. RRS signals were greatly amplified by using photocleavable DNA nanotubes and enzyme-assisted strand displacement amplification (SDA). In the presence of miR-126, enzyme-assisted SDA produced numerous identical nucleotide fragments as the target, which were then specifically attached to magnetic beads through the DNA nanotube by using a Y-shaped DNA scaffold. Upon ultraviolet irradiation, the DNA nanotube was released into the solution, resulting in an increase in the intensity of the RRS signal. This strategy demonstrated a low limit of detection (0.16 fM) and a wide dynamic range (1 fM to 1 nM) for miR-126. Impressively, the enzyme-assisted SDA offers a molecular computing model for generating the target pool, which serves as the input element for unlocking the system. By cascading the molecular computing process, we successfully constructed a molecular keypad lock with a multilevel authentication technique. The proposed system holds great potential for applications in molecular diagnosis and information security, indicating significant value in integrating molecular circuits for intelligent sensing.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Analytical chemistry - (2024) vom: 07. Feb.

Sprache:

Englisch

Beteiligte Personen:

Li, Yan Lei [VerfasserIn]
Min, Xue Hong [VerfasserIn]
Fan, Ya Jie [VerfasserIn]
Dong, Jiang Xue [VerfasserIn]
Wu, Dan [VerfasserIn]
Ren, Xiang [VerfasserIn]
Ma, Hong Min [VerfasserIn]
Gao, Zhong Feng [VerfasserIn]
Wei, Qin [VerfasserIn]
Xia, Fan [VerfasserIn]
Ju, Huangxian [VerfasserIn]

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Anmerkungen:

Date Revised 07.02.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1021/acs.analchem.3c04718

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368132153