G-quadruplex based biosensor: A potential tool for SARS-CoV-2 detection
-
Xi, Hui
College of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, China
-
Juhas, Mario
Medical and Molecular Microbiology Unit, Department of Medicine, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
-
Zhang, Yang
College of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, China
Published in:
- Biosensors and Bioelectronics. - 2020, vol. 167, p. 112494
English
G-quadruplex is a non-canonical nucleic acid structure formed by the folding of guanine rich DNA or RNA. The conformation and function of G-quadruplex are determined by a number of factors, including the number and polarity of nucleotide strands, the type of cations and the binding targets. Recent studies led to the discovery of additional advantageous attributes of G-quadruplex with the potential to be used in novel biosensors, such as improved ligand binding and unique folding properties. G-quadruplex based biosensor can detect various substances, such as metal ions, organic macromolecules, proteins and nucleic acids with improved affinity and specificity compared to standard biosensors. The recently developed G- quadruplex based biosensors include electrochemical and optical biosensors. A novel G-quadruplex based biosensors also show better performance and broader applications in the detection of a wide spectrum of pathogens, including SARS-CoV-2, the causative agent of COVID-19 disease. This review highlights the latest developments in the field of G-quadruplex based biosensors, with particular focus on the G-quadruplex sequences and recent applications and the potential of G- quadruplex based biosensors in SARS-CoV-2 detection.
-
Faculty
- Faculté des sciences et de médecine
-
Department
- Médecine 3ème année
-
Language
-
-
Classification
-
Biological sciences
-
License
-
License undefined
-
Identifiers
-
-
Persistent URL
-
https://folia.unifr.ch/unifr/documents/309033
Statistics
Document views: 40
File downloads: