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Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.

Laura Aliisa SaarimäkiAntonio FedericoIseult LynchAnastasios G PapadiamantisAndreas TsoumanisGeorgia MelagrakiAntreas AfantitisAngela SerraDario Greco
Published in: Scientific data (2021)
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.
Keyphrases
  • single cell
  • electronic health record
  • big data
  • endothelial cells
  • data analysis
  • machine learning
  • artificial intelligence
  • clinical evaluation
  • oxide nanoparticles