A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells

Elisabeth Joossens; Peter Macko; Taina Palosaari; Kirsten Gerloff; Isaac Ojea-Jiménez; Douglas Gilliland; Jaroslav Novak; Salvador Fortaner Torrent; Jean-Michel Gineste; Isabella Römer; Sophie Marie Briffa; Eugenia Valsami-Jones; Iseult Lynch; Maurice Whelan

doi:10.1038/s41597-019-0053-2

A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells

Elisabeth Joossens, Peter Macko, Taina Palosaari, Kirsten Gerloff, Isaac Ojea-Jiménez, Douglas Gilliland, Jaroslav Novak, Salvador Fortaner Torrent, Jean-Michel Gineste, Isabella Römer, Sophie Marie Briffa, Eugenia Valsami-Jones, Iseult Lynch, Maurice Whelan

Earth and Environmental Sciences

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Abstract

The large amount of existing nanomaterials demands rapid and reliable methods for testing their potential toxicological effect on human health, preferably by means of relevant in vitro techniques in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows deriving much more information from cell-based assays than the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including data based on a maximum of 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 in the development of in silico hazard assessment and prediction tools or can be combined with toxicity results from other in vitro test systems.

Original language	English
Article number	46
Number of pages	10
Journal	Scientific Data
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41597-019-0053-2
Publication status	Published - 2 May 2019

Keywords

Apoptosis/drug effects
Carcinoma, Hepatocellular/pathology
Cell Count
Cell Line, Tumor
Cell Membrane Permeability/drug effects
Cell Survival/drug effects
Databases, Factual
Dose-Response Relationship, Drug
Humans
Liver Neoplasms/pathology
Membrane Potential, Mitochondrial/drug effects
Nanostructures/toxicity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41597-019-0053-2Licence: Creative Commons: Attribution (CC BY)

Elisabeth_Joossens_et_al_A_high_throughput_imaging_database_of_toxicological_effects_of_nanomaterials_tested_on_HepaRG_cells_Scientific_Data_2019
Checked for eligibility: 22/05/2019
Final published version, 996 KBLicence: Creative Commons: Attribution (CC BY)

FP7_COLLAB_nanoMILE
Valsami-Jones, E., Lynch, I., Viant, M., Chipman, K., Palmer, R. & Rappoport, J.
European Commission, European Commission - Management Costs
1/03/13 → 28/02/17
Project: Research

Cite this

Joossens, E., Macko, P., Palosaari, T., Gerloff, K., Ojea-Jiménez, I., Gilliland, D., Novak, J., Fortaner Torrent, S., Gineste, J.-M., Römer, I., Briffa, S. M., Valsami-Jones, E., Lynch, I., & Whelan, M. (2019). A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells. Scientific Data, 6(1), Article 46. https://doi.org/10.1038/s41597-019-0053-2

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abstract = "The large amount of existing nanomaterials demands rapid and reliable methods for testing their potential toxicological effect on human health, preferably by means of relevant in vitro techniques in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows deriving much more information from cell-based assays than the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including data based on a maximum of 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 in the development of in silico hazard assessment and prediction tools or can be combined with toxicity results from other in vitro test systems.",

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Joossens, E, Macko, P, Palosaari, T, Gerloff, K, Ojea-Jiménez, I, Gilliland, D, Novak, J, Fortaner Torrent, S, Gineste, J-M, Römer, I, Briffa, SM, Valsami-Jones, E , Lynch, I & Whelan, M 2019, 'A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells', Scientific Data, vol. 6, no. 1, 46. https://doi.org/10.1038/s41597-019-0053-2

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AU - Gilliland, Douglas

AU - Novak, Jaroslav

AU - Fortaner Torrent, Salvador

AU - Gineste, Jean-Michel

AU - Römer, Isabella

AU - Briffa, Sophie Marie

AU - Valsami-Jones, Eugenia

AU - Lynch, Iseult

AU - Whelan, Maurice

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KW - Databases, Factual

KW - Dose-Response Relationship, Drug

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KW - Liver Neoplasms/pathology

KW - Membrane Potential, Mitochondrial/drug effects

KW - Nanostructures/toxicity

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JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 46

ER -

A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells

Abstract

Keywords

UN SDGs

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Projects

FP7_COLLAB_nanoMILE

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