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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Tumor-associated cell-free DNA (cfDNA) is a dynamic biomarker for genetic analysis, early diagnosis and clinical treatment of cancers. However, its detection has limitations because of its low abundance in blood or other complex bodily fluids. Herein, we developed an ultrasensitive cfDNA electrochemical biosensor (E-cfDNA sensor) based on tetrahedral DNA framework (TDF)-modified gold nanoparticles (Au NPs) with an interface for cfDNA detection. By accurately controlling the numbers of base pairs on each DNA framework, three types of TDFs were programmed: 26 base pairs of TDF; 17 base pairs of TDF; and 7 base pairs of TDF (TDF-26, TDF-16 and TDF-7, respectively). We also combined the TDF with hybridization chain reaction (HCR) to achieve signal amplification. Under optimal conditions, we detected the breast cancer susceptibility gene 1 (BRCA-1), a representative cfDNA closely related to breast cancer. An ultra-low detection limit of 1 aM with a linear range from 1 aM to 1 pM by TDF-26 was obtained, which was superior to the existing methods. Each type of TDF has excellent discrimination ability, which can distinguish single mismatch. More significantly, we also detected BRCA-1 in mimic serum samples, demonstrating that the E-cfDNA sensor has potential use in clinical research.

Details

Title
Tetrahedral DNA Framework-Programmed Electrochemical Biosenors with Gold Nanoparticles for Ultrasensitive Cell-Free DNA Detection
Author
Wang, Chenguang 1 ; Wang, Wei 2 ; Xu, Yi 3 ; Zhao, Xiaoshuang 4 ; Li, Shuainan 1 ; Qian, Qiuling 1 ; Mi, Xianqiang 5 

 Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; [email protected] (C.W.); [email protected] (Y.X.); [email protected] (S.L.); [email protected] (Q.Q.); University of Chinese Academy of Sciences, Beijing 100049, China 
 Shanghai Pudong New District Zhoupu Hospital, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China; [email protected] 
 Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; [email protected] (C.W.); [email protected] (Y.X.); [email protected] (S.L.); [email protected] (Q.Q.) 
 State Key Laboratory of Functional Material for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; [email protected] 
 Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; [email protected] (C.W.); [email protected] (Y.X.); [email protected] (S.L.); [email protected] (Q.Q.); University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Functional Material for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; [email protected]; CAS Center for Excellence in Superconducting Electronics (CENSE), Shanghai 200050, China; Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China 
First page
666
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20794991
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2633031919
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.