Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes
Description
This repository contains the necessary data, python source code and jupyter notebooks to reproduce the results from our manuscript, "Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes." Using in vitro data to estimate point of departure (POD) values is an important component of new approach method (NAM)-based chemical risk assessments. In this case study we evaluated a NAM for hepatotoxicity based on rat primary hepatocytes, high-content imaging (HCI) and in vitro to in vivo extrapolation (IVIVE).
This dataset is associated with the following publication:
Shah, I., T. Antonijevic, B. Chambers, J. Harrill, and R. Thomas. Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 183(2): 285-301, (2021).
Resources
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Description |
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https://github.com/i-shah/heprn-hci-nam |
Tags
- pbtk
- point-of-departure
- high-content-imaging
- virtual-embryo
- new-approach-methodologies
- virtual-liver
- repeat-dose-toxicity
- tipping-points
- hepatotoxicity
- virtual-tissues