Real-time quantitation of viral replication and inhibitor potency using a label-free optical biosensor.

TitleReal-time quantitation of viral replication and inhibitor potency using a label-free optical biosensor.
Publication TypeJournal Article
Year of Publication2009
AuthorsOwens RM, Wang CQ, You JA, Jiambutr J, Xu ASL, Marala RB, Jin MM
JournalJ Recept Signal Transduct Res
Volume29
Issue3-4
Pagination195-201
Date Published2009
ISSN1532-4281
KeywordsAntibodies, Monoclonal, Antiviral Agents, Biosensing Techniques, Cell Line, Tumor, HeLa Cells, Humans, Intercellular Adhesion Molecule-1, Rhinovirus, Signal Transduction, Virus Replication
Abstract

Real-time detection of viral replication inside cells remains a challenge to researchers. The Epic System is a high-throughput, label-free optical detection platform capable of measuring molecular interaction in a biochemical assay, as well as integrated cellular response from measurement of cellular dynamic mass redistribution (DMR) in a cell-based assay. DMR has previously been used to measure cell signaling upon receptor stimulation. In this report, we present the first example of Epic measurement of viral replication-induced cellular response and demonstrate that this system is extremely powerful not only for the sensitive and quantitative detection of viral replication inside cells but also for screening of viral inhibitors. By comparing with conventional assays used for the measurement of viral replication, we show that the Epic response has many advantages including sensitivity, high throughput, real-time quantification and label-free detection. We propose that the Epic system for measurement of integrated cellular response will be an excellent method for elucidating steps in viral replication as well as for the high-throughput screening of inhibitors of rhinovirus and other viruses.

DOI10.1080/10799890903079919
Alternate JournalJ Recept Signal Transduct Res
PubMed ID19640221
Grant ListAI079532-01 / AI / NIAID NIH HHS / United States
Related Institute: 
Molecular Imaging Innovations Institute (MI3)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065