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Understanding Potential Human Health Impacts from High Content Data
Citation:
Thomas, R. Understanding Potential Human Health Impacts from High Content Data. Presented at Society of Toxicology Annual Meeting, Baltimore, MD, March 10 - 14, 2019.
Impact/Purpose:
Session proposal abstract for SOT 2019
Description:
The U.S. Environmental Protection Agency is applying multiple high content technologies to better understand the potential impacts of chemicals on human health. The technologies include high-throughput transcriptomic and imaging-based screening platforms and are being applied to screen thousands of chemicals in concentration response format across multiple cell types. Used in tandem, these technologies provide a comprehensive and complementary evaluation of the potential impacts of chemicals at the molecular and phenotypic levels. Despite the promise of these technologies, the volume and complexity of the data are significant and require the development of new analysis approaches in order to accurately model concentration response and time course data, identify modes-of-action and biological targets, evaluate effects at multiple levels of biological organization, and integrate orthogonal data streams. Early efforts have utilized benchmark dose methods to identify points of departure for gene, pathway, and phenotypic perturbations and different pattern matching approaches have been evaluated for identifying mode-of-action. The talk will focus on the challenges these datasets provide, the data mining approaches being used to address those challenges, and efforts to interpret the data in a chemical safety context. This abstract does not necessarily reflect U.S. EPA policy.