Self-resetting molecular probes for nucleic acids detection enabled by fuel dissipative systems.

COVID-19 DNA nanotechnology Exonuclease III Fuel dissipation Kinetic simulation MD simulation SARS-CoV-2 Toehold mediated strand displacement

Journal

Nano today
ISSN: 1748-0132
Titre abrégé: Nano Today
Pays: England
ID NLM: 101297352

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 20 07 2021
revised: 04 09 2021
accepted: 22 09 2021
entrez: 11 10 2021
pubmed: 12 10 2021
medline: 12 10 2021
Statut: ppublish

Résumé

A once-in-a-century global public health crisis, the COVID-19 pandemic has damaged human health and world economy greatly. To help combat the virus, we report a self-resetting molecular probe capable of repeatedly detecting SARS-CoV-2 RNA, developed by orchestrating a fuel dissipative system via DNA nanotechnology. A set of simulation toolkits was utilized to design the probe, permitting highly consistent signal amplitudes across cyclic detections. Uniquely, full width at half maximum regulated by dissipative kinetics exhibits a fingerprint signal suitable for high confidential identifications of single-nucleotide variants. Further examination on multiple human-infectious RNA viruses, including ZIKV, MERS-CoV, and SARS-CoV, demonstrates the generic detection capability and superior orthogonality of the probe. It also correctly classified all the clinical samples from 55 COVID-19 patients and 55 controls. Greatly enhancing the screening capability for COVID-19 and other infectious diseases, this probe could help with disease control and build a broader global public health agenda.

Identifiants

pubmed: 34630625
doi: 10.1016/j.nantod.2021.101308
pii: S1748-0132(21)00233-4
pmc: PMC8486598
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101308

Informations de copyright

© 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Na Li (N)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Yuee Zhao (Y)

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.

Yu Liu (Y)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Zhe Yin (Z)

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.

Rui Liu (R)

Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.

Linghao Zhang (L)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Liang Ma (L)

Clinical Laboratory, China-Japan Friendship Hospital, Beijing 100029, China.

Xiaochuan Dai (X)

Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.

Dongsheng Zhou (D)

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.

Xin Su (X)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Classifications MeSH