Prof. Bingjie Zou

Issuing time:2021-10-09 20:59


Name:

Bingjie Zou

Title:

Professor

Affiliation:

School of Pharmacy,   China Pharmaceutical University

Email:

zbj523@163.com

100-word biography:

Bingjie Zou was born in 1983. He received Ph.D. in China Pharmaceutical University in 2011. From 2012 to 2020, he was working at the Department of Pharmacology, Jinling Hospital, Nanjing University School of Medicine as a Research Fellow. From 2018 to 2019, he was working at Monash Institute of Pharmaceutical Sciences (MIPS), Monash University, Australia as a Visiting Scholar. In 2004, he moved to the School of Pharmacy, China Pharmaceutical University. He has regularly published more than 50 papers on scientific journals (e.g., Angew Chem Int   Ed, Nucleic Acids Res, Genome Bio, Biosens Bioelectron, Chem Sci, Anal.   Chem). His current work focuses on developing nucleic acids detection methods for point of care testing, and protein detection strategies for single cell analysis.

Title:

Structure recognition endonuclease-based colorimetric detection of nucleic acids

Abstract:

Nucleic acid detection technology has been widely used in many fields such as pathogen detection, disease diagnosis, and personalized medicine. Point of care testing (POCT) is one of the important directions of development of nucleic acid detection technology. Colorimetric detection is very suitable for POCT due to its low requirements for detection equipment. Based on the cleavage reaction   catalyzed by the structure recognition endonuclease FEN1, we have developed a closed-tube PCR with nested serial invasion probe visualization using gold nanoparticles, and applied it to pathogen detection, personalized medicine-related SNP detection and liquid biopsy. In addition, by designing a color binary coding strategy, a multiple colorimetric nucleic acid detection method for detecting 15 nucleic acid targets in 6 tube reactions was proposed, and it was successfully used for the visual typing detection of HPV virus. In order to achieve "sample in-results out” detection, we eveloped a cassette-type nucleic acid detection platform that integrates the functions of nucleic acid extraction, amplification and detection. Five SNPs related to personalized medicine were automatically detected by using the cassette platform with whole blood as detecting samples. These structure recognition endonuclease-based nucleic acid colorimetric detection methods have a great potential for POCT of genetic biomarkers.

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