A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells
A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells
复制标题
DOI：
10.1038/s41597-019-0053-2
复制
发表时间：
2019-05-02
期刊：
影响因子：
9.8
通讯作者：
Whelan, Maurice
中科院分区：
文献类型：
--
作者：
Joossens, Elisabeth;Macko, Peter;Whelan, Maurice
现有的大量纳米材料需要快速和可靠的方法来测试它们对人类健康的潜在毒理学影响，最好是通过相关的体外技术，以减少对动物的测试。将高通量工作流程与自动化高含量成像技术相结合，可以从基于细胞的分析中获得比使用光学板阅读器的典型读数（即每孔一次测量）更多的信息。我们在此展示了一个数据集，其中包括使用大量纳米材料、涂层和不同浓度的上清液处理的人肝癌HepaRG细胞系的最多14种不同读数（包括活细胞计数、细胞膜通透性、凋亡细胞死亡、线粒体膜电位和脂肪变性）的数据。鉴于其规模，该数据库可用于开发计算机危害评估和预测工具，或可与其他体外试验系统的毒性结果相结合。
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.