Chapter title |
A Real-Time Cell Analyzing Assay for Identification of Novel Antiviral Compounds against Chikungunya Virus
|
---|---|
Chapter number | 23 |
Book title |
Chikungunya Virus
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3618-2_23 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3616-8, 978-1-4939-3618-2
|
Authors |
Keivan Zandi |
Editors |
Justin Jang Hann Chu, Swee Kim Ang |
Abstract |
Screening of viral inhibitors through induction of cytopathic effects (CPE) by conventional method has been applied for various viruses including Chikungunya virus (CHIKV), a significant arbovirus. However, it does not provide the information about cytopathic effect from the beginning and throughout the course of virus replication. Conventionally, most of the approaches are constructed on laborious end-point assays which are not capable for detecting minute and rapid changes in cellular morphology. Therefore, we developed a label-free and dynamical method for monitoring the cellular features that comprises cell attachment, proliferation, and viral cytopathogenicity, known as the xCELLigence real-time cell analysis (RTCA). In this chapter, we provide a RTCA protocol for quantitative analysis of CHIKV replication using an infected Vero cell line treated with ribavirin as an in vitro model. |
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Mendeley readers
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