Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
BioMediTech Institute, Tampere University, Tampere, Finland.
Sci Data. 2021 Feb 8;8(1):49. doi: 10.1038/s41597-021-00808-y.
Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and to develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for ENMs, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures in vitro and in vivo including the physicochemical characteristics of the ENMs used in each study.
毒理基因组学（TGx）方法正越来越多地被应用于深入了解工程纳米材料（ENMs）可能的毒性机制。组学数据对于阐明化学物质的作用机制和开发毒理学预测模型非常有价值。尽管已经积累了大量关于 ENM 暴露的转录组学数据，但目前缺乏一个统一的、易于访问和可重复使用的 ENM 转录组学数据集合。为了提高已经存在的用于 ENMs 的转录组学数据的 FAIR 程度，我们整理了一组来自体外和体内人类、小鼠和大鼠 ENM 暴露的均质转录组学数据，包括每个研究中使用的 ENMs 的理化特性。
