Computational Toxicology and Exposure Communities of Practice
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Topic: High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures
Who: Dr. John Wambaugh, Physical Scientist, in the Center for Computational Toxicology and Exposure
When: March 25, 2021 from 11:00 AM- 12:00 PM EST
Where: Register for webinar using Eventbrite and check the confirmation email for webinar information.
The ToxCast in vitro screening program has provided concentration-response bioactivity data across more than a thousand assay endpoints for thousands of chemicals found in our environment and commerce. However, most ToxCast screening assays have evaluated individual biological targets in cancer cell lines lacking integrated physiological functionality (such as receptor signaling, metabolism). We evaluated differentiated HepaRGTM cells, a human liver-derived cell model understood to effectively model physiologically relevant hepatic signaling.
Expression of 93 gene transcripts was measured by quantitative polymerase chain reaction using Fluidigm 96.96 dynamic arrays in response to 1060 chemicals tested in eight-point concentration-response. For these chemicals a network model translates transcriptomic data into Bayesian inferences about molecular targets known to activate toxicological adverse outcome pathways. These data also provide new insights into the molecular signaling network of HepaRGTM cell cultures.
This abstract does not necessarily reflect U.S. EPA policy.
For more information visit the EPA's Computational Toxicology Communities of Practice webpage