The large amount of existing nanomaterials demands for rapid and reliable ways to test their potential toxicological effect on human health, preferably by means of relevant in vitro tests in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows to derive much more information from cell-based assays than with the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including up to 14 different read outs including viable cell count, cell membrane permeability, apoptotic cell death, mitochondrial membrane potential and steatosis of the human hepatoma HepaRG cell line treated with a large set of nanomaterials, coatings and supernatants at different concentrations. The database, given its size, can be utilized for the development of in silico hazard assessment and prediction tools or can be combined with toxicity effect on other in vitro test systems.
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