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Studies of human hepatitis B virus (HBV) immune pathogenesis are hampered by limited access to liver tissues and technologies for detailed analyses.

This webcast will describe using Imaging Mass Cytometry (IMC) to simultaneously detect 30 immune, viral and structural markers in liver biopsies from patients with chronic hepatitis B. This provided comprehensive visualization, quantitation and novel phenotypic characterizations of hepatic adaptive and innate immune subsets that correlate significantly with hepatocellular injury, histological fibrosis and age.

This research further identifies marked correlations between adaptive and innate immune cell frequencies and phenotype, highlighting complex immune interactions within the hepatic microenvironment with relevance to HBV pathogenesis. This work provides proof of principle and a foundation to apply highly multiplexed IMC as a tool for more detailed analyses for HBV and other viral immune pathogenesis in the liver.

You will learn:
  • How a high-multiplex, 30-marker panel can be used to simultaneously detect immune, viral and structural markers using Imaging Mass Cytometry from liver biopsy samples
  • How to visualize, quantify and complete comprehensive phenotypic analysis of multiple adaptive and innate immune cell subsets 
  • How the clinical correlations and associations of immune cell densities and phenotypes in the hepatitis B viral pathogenesis microenvironment can be assessed

This webcast has been produced by Fluidigm, who retains sole responsibility for content. About this content.

Dr. Kyong-Mi Chang
Professor of Medicine (GI)
University of Pennsylvania Perelman School of Medicine
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Moderator: Sarah Hiddleston
Science Journalist
Nature Research for Nature Middle East
View Biography

Registration Details:

Session 1: Highly multiplexed 2-dimensional Imaging Mass Cytometry of HBV-infected liver
US/EU version available On Demand
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Session 2: Highly multiplexed 2-dimensional Imaging Mass Cytometry of HBV-infected liver
Asia Pacific version available On Demand
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