Ratiometric Fluorescent Biosensor Based on Self-Assembled Fluorescent Gold Nanoparticles and Duplex-Specific Nuclease-Assisted Signal Amplification for Sensitive Detection of Exosomal miRNA-Reference-Cited by-同舟云学术

Ratiometric Fluorescent Biosensor Based on Self-Assembled Fluorescent Gold Nanoparticles and Duplex-Specific Nuclease-Assisted Signal Amplification for Sensitive Detection of Exosomal miRNA

Published:2022-08-12 Issue:9 Volume:33 Page:1698-1706
ISSN:1043-1802
Container-title:Bioconjugate Chemistry
language:en
Short-container-title:Bioconjugate Chem.

Author:

Sun Zhiwei¹²,Li Juan³,Yang Yufei¹,Tong Yao³,Li Hui¹^ORCID,Wang Chuanxin³⁴⁵^ORCID,Du Lutao³,Jiang Yanyan¹²^ORCID

Affiliation:

1. Key Laboratory for Liquid−Solid Structural Evolution and Processing of Materials, Ministry of Education, Shandong University, Jinan, 250061, China

2. Shenzhen Research Institute of Shandong University, Shenzhen, 518057, China

3. Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, 250033, China

4. Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, China

5. Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, China

Funder

Guangdong Science and Technology Department

Shenzhen Fundamental Research Program

Natural Science Foundation of Jiangsu Province

Shandong University

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Pharmaceutical Science,Pharmacology,Biomedical Engineering,Bioengineering,Biotechnology

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.bioconjchem.2c00309

Reference56 articles.

1. Micro-RNAs in the regulation of immune response against SARS CoV-2 and other viral infections

2. Single-molecule imaging of microRNA-mediated gene silencing in cells

3. AEMDA: inferring miRNA–disease associations based on deep autoencoder

4. Regulatory Mechanism of MicroRNA Expression in Cancer

5. Research advances for exosomal miRNAs detection in biosensing: From the massive study to the individual study

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