Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes.

ABSTRACT: High-throughput, human-relevant approaches for predicting chemical toxicity are urgently needed for better decision-making in human health. Here, we apply image-based profiling (the Cell Painting assay) and two cytotoxicity assays (metabolic and membrane damage readouts) to primary human hepatocytes after exposure to eight concentrations of 1085 compounds that include pharmaceuticals, pesticides, and industrial chemicals with known liver toxicity-related outcomes. Three computational methods (CellProfiler, a Cell Painting-specific convolutional neural network, and a pretrained vision transformer) were compared to extract morphology features from single cells or entire images. We used these morphology features to predict activity in the measured cytotoxicity assays, as well as in 412 curate

SUBMITTER: Ewald JD 

PROVIDER: S-EPMC11785178 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature