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High-throughput transcriptomic (HTTr) screening at USEPA: Quality Control, Plate Effects and Concentration-Response Modeling
Citation:
Harrill, J. High-throughput transcriptomic (HTTr) screening at USEPA: Quality Control, Plate Effects and Concentration-Response Modeling. Presented at Presentation at the EUToxRisk-Tox21 satellite meeting at SOT annual meeting, Baltimore, MD, March 10 - 14, 2019. https://doi.org/10.23645/epacomptox.8023256
Impact/Purpose:
Presentation given to the EUToxRisk-Tox21 Satellite Meeting at the Society of Toxicology annual meeting March 2019. The purpose of the presentation is to stimulate discussion regarding: 1) the use of QC samples in HTTr screening, 2) potential plate (i.e. batch) effects in HTTr screening data and 3) how to address them from a concentration-response modeling perspective.
Description:
The EPA's National Center for Computational Toxicology research programs focus on developing the tools, approaches and data needed to accelerate the pace of chemical risk assessment and foster incorporation of non-traditional toxicity testing data into regulatory decision making processes. New Approach Methodologies (NAMs) are any technology, methodology, approach or combination thereof that can be used to provide information on chemical hazard and risk that avoids the use of intact animals. Increasing efficiency and declining cost has made high-throughput transcriptomics (HTTr) a practical option for broad coverage in vitro chemical screening. Bioactivity-based potency estimates can be used to identify in vitro bioactivity thresholds. Gene expression profiles can potentially be used for mechanistic prediction and evaluation of chemical similarity. This abstract does not necessarily represent the views or policies of the US EPA.
URLs/Downloads:
DOI: High-throughput transcriptomic (HTTr) screening at USEPA: Quality Control, Plate Effects and Concentration-Response Modeling
HARRILL_2019-03-12_SOT2019_EUTOXRISK-TOX21_V1.PDF (PDF, NA pp, 2551.881 KB, about PDF)