NOV 10, 2016 10:00 AM PST

Single-cell analysis of virus infection: Zika & beyond

SPONSORED BY: Affymetrix, Affymetrix
Speakers
  • Assistant Professor, Department of Anesthesiology and Program in Immunology; University of Colorado
    Biography
      Dr. Eric T. Clambey received his PhD degree from Washington University in St. Louis. He is currently an Assistant Professor at University of Colorado School of Medicine, Department of Anesthesiology and Program in Immunology, and Director of the University of Colorado Cancer Center Flow Cytometry Shared Resource. His research program focuses on the dynamic interface between the immune system, infection, inflammation and tissue repair.

    Abstract:
    DATE:  November 10, 2016
    TIME:  10am PT, 1pm ET

    How do you effectively detect heterogeneity in single cells?

    Bulk analysis often leads to conclusions that assume averages reflect the dominant biological mechanism operating within an entire population. To fully understand how cellular heterogeneity contributes to biological function, a single-cell analysis approach must be applied.

    Join us for a seminar on breakthroughs in single-cell gene expression research that have advanced our understanding of the immune response and are paving the way towards unmasking gene expression heterogeneity.

    The heterogeneity of RNA expression at the single-cell level is often obscured by conventional assays of pooled cellular material. Eric Clambey, PhD recently used PrimeFlow® RNA assay to detect virus and host RNA by flow cytometry, enabling single-cell analysis of virus-host dynamics. This methodology has been applied to detect Zika virus infection, simultaneously quantifying the plus-strand RNA genome and 3’ untranslated region. In parallel, this platform has been used to study herpesvirus-induced host shutoff, directly observing host mRNA degradation in virus-infected cells. These studies have revealed unanticipated heterogeneity in virus-infected cells, and identified new interrelationships between virus and host RNA at the single-cell level.

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