DNA‐Based Chemical Reaction Networks for Biosensing Applications

The nature of biosensing is a biochemical reaction. DNA‐based chemical reaction networks (DNA‐CRNs) as a powerful programming language for describing behaviors of chemical reactions have shown great potential in designs and applications of biosensors. Due to their programmability, modularity, and ve...

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Main Authors: Zhijun Li, Li Jiang, Yizhou Jiang, Xiaowan Yuan, Maimaitimin Aizitiaili, Jun Yue, Xiangmeng Qu
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:Advanced Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1002/aisy.202000086
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author Zhijun Li
Li Jiang
Yizhou Jiang
Xiaowan Yuan
Maimaitimin Aizitiaili
Jun Yue
Xiangmeng Qu
author_facet Zhijun Li
Li Jiang
Yizhou Jiang
Xiaowan Yuan
Maimaitimin Aizitiaili
Jun Yue
Xiangmeng Qu
author_sort Zhijun Li
collection DOAJ
description The nature of biosensing is a biochemical reaction. DNA‐based chemical reaction networks (DNA‐CRNs) as a powerful programming language for describing behaviors of chemical reactions have shown great potential in designs and applications of biosensors. Due to their programmability, modularity, and versatility of the DNA strand, the performance of different detection strategies can be improved mainly by the rational design of DNA‐CRNs. Herein, an overview of the fundamental theory and biosensing processes of DNA‐CRNs is provided. Various detection strategies of DNA‐CRNs are introduced, either in a simple low‐order reaction model or in a complicated high‐order reaction type, in combination with some typical cases for the different detection purposes. In addition, an overview of the recent development of DNA‐CRNs for monitoring the cell microenvironment is presented, which is of significance to uncover some specific cell behaviors and functions. Finally, the roles of DNA‐CRNs in the rational design of high‐performance biosensors are summarized by pointing out the remaining challenges that impede the precise biosensing using DNA‐CRNs in complicated biological environments.
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spelling doaj.art-2bd1fa0aa8534214888069b89483d7232022-12-21T18:54:37ZengWileyAdvanced Intelligent Systems2640-45672020-09-0129n/an/a10.1002/aisy.202000086DNA‐Based Chemical Reaction Networks for Biosensing ApplicationsZhijun Li0Li Jiang1Yizhou Jiang2Xiaowan Yuan3Maimaitimin Aizitiaili4Jun Yue5Xiangmeng Qu6Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaKey Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-Sen University 132 East Waihuan Road, Higher Education Mega Center Guangzhou 510006 ChinaThe nature of biosensing is a biochemical reaction. DNA‐based chemical reaction networks (DNA‐CRNs) as a powerful programming language for describing behaviors of chemical reactions have shown great potential in designs and applications of biosensors. Due to their programmability, modularity, and versatility of the DNA strand, the performance of different detection strategies can be improved mainly by the rational design of DNA‐CRNs. Herein, an overview of the fundamental theory and biosensing processes of DNA‐CRNs is provided. Various detection strategies of DNA‐CRNs are introduced, either in a simple low‐order reaction model or in a complicated high‐order reaction type, in combination with some typical cases for the different detection purposes. In addition, an overview of the recent development of DNA‐CRNs for monitoring the cell microenvironment is presented, which is of significance to uncover some specific cell behaviors and functions. Finally, the roles of DNA‐CRNs in the rational design of high‐performance biosensors are summarized by pointing out the remaining challenges that impede the precise biosensing using DNA‐CRNs in complicated biological environments.https://doi.org/10.1002/aisy.202000086biosensorschemical reaction networksDNA-based chemical reaction networks
spellingShingle Zhijun Li
Li Jiang
Yizhou Jiang
Xiaowan Yuan
Maimaitimin Aizitiaili
Jun Yue
Xiangmeng Qu
DNA‐Based Chemical Reaction Networks for Biosensing Applications
Advanced Intelligent Systems
biosensors
chemical reaction networks
DNA-based chemical reaction networks
title DNA‐Based Chemical Reaction Networks for Biosensing Applications
title_full DNA‐Based Chemical Reaction Networks for Biosensing Applications
title_fullStr DNA‐Based Chemical Reaction Networks for Biosensing Applications
title_full_unstemmed DNA‐Based Chemical Reaction Networks for Biosensing Applications
title_short DNA‐Based Chemical Reaction Networks for Biosensing Applications
title_sort dna based chemical reaction networks for biosensing applications
topic biosensors
chemical reaction networks
DNA-based chemical reaction networks
url https://doi.org/10.1002/aisy.202000086
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AT maimaitiminaizitiaili dnabasedchemicalreactionnetworksforbiosensingapplications
AT junyue dnabasedchemicalreactionnetworksforbiosensingapplications
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