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A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics
Artificial nucleic acid circuits with precisely controllable dynamic and function have shown great promise in biosensing, but their utility in molecular diagnostics is still restrained by the inability to process genomic DNA directly and moderate sensitivity. To address this limitation, we present a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840123/ https://www.ncbi.nlm.nih.gov/pubmed/33571114 http://dx.doi.org/10.1126/sciadv.abc7802 |
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author | Shi, Kai Xie, Shiyi Tian, Renyun Wang, Shuo Lu, Qin Gao, Denghui Lei, Chunyang Zhu, Haizhen Nie, Zhou |
author_facet | Shi, Kai Xie, Shiyi Tian, Renyun Wang, Shuo Lu, Qin Gao, Denghui Lei, Chunyang Zhu, Haizhen Nie, Zhou |
author_sort | Shi, Kai |
collection | PubMed |
description | Artificial nucleic acid circuits with precisely controllable dynamic and function have shown great promise in biosensing, but their utility in molecular diagnostics is still restrained by the inability to process genomic DNA directly and moderate sensitivity. To address this limitation, we present a CRISPR-Cas–powered catalytic nucleic acid circuit, namely, CRISPR-Cas–only amplification network (CONAN), for isothermally amplified detection of genomic DNA. By integrating the stringent target recognition, helicase activity, and trans-cleavage activity of Cas12a, a Cas12a autocatalysis-driven artificial reaction network is programmed to construct a positive feedback circuit with exponential dynamic in CONAN. Consequently, CONAN achieves one-enzyme, one-step, real-time detection of genomic DNA with attomolar sensitivity. Moreover, CONAN increases the intrinsic single-base specificity of Cas12a, and enables the effective detection of hepatitis B virus infection and human bladder cancer–associated single-nucleotide mutation in clinical samples, highlighting its potential as a powerful tool for disease diagnostics. |
format | Online Article Text |
id | pubmed-7840123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78401232021-02-05 A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics Shi, Kai Xie, Shiyi Tian, Renyun Wang, Shuo Lu, Qin Gao, Denghui Lei, Chunyang Zhu, Haizhen Nie, Zhou Sci Adv Research Articles Artificial nucleic acid circuits with precisely controllable dynamic and function have shown great promise in biosensing, but their utility in molecular diagnostics is still restrained by the inability to process genomic DNA directly and moderate sensitivity. To address this limitation, we present a CRISPR-Cas–powered catalytic nucleic acid circuit, namely, CRISPR-Cas–only amplification network (CONAN), for isothermally amplified detection of genomic DNA. By integrating the stringent target recognition, helicase activity, and trans-cleavage activity of Cas12a, a Cas12a autocatalysis-driven artificial reaction network is programmed to construct a positive feedback circuit with exponential dynamic in CONAN. Consequently, CONAN achieves one-enzyme, one-step, real-time detection of genomic DNA with attomolar sensitivity. Moreover, CONAN increases the intrinsic single-base specificity of Cas12a, and enables the effective detection of hepatitis B virus infection and human bladder cancer–associated single-nucleotide mutation in clinical samples, highlighting its potential as a powerful tool for disease diagnostics. American Association for the Advancement of Science 2021-01-27 /pmc/articles/PMC7840123/ /pubmed/33571114 http://dx.doi.org/10.1126/sciadv.abc7802 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Shi, Kai Xie, Shiyi Tian, Renyun Wang, Shuo Lu, Qin Gao, Denghui Lei, Chunyang Zhu, Haizhen Nie, Zhou A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title | A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title_full | A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title_fullStr | A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title_full_unstemmed | A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title_short | A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics |
title_sort | crispr-cas autocatalysis-driven feedback amplification network for supersensitive dna diagnostics |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840123/ https://www.ncbi.nlm.nih.gov/pubmed/33571114 http://dx.doi.org/10.1126/sciadv.abc7802 |
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