Nature Communications (Jul 2017)

A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury

  • Pekka Kohonen,
  • Juuso A. Parkkinen,
  • Egon L. Willighagen,
  • Rebecca Ceder,
  • Krister Wennerberg,
  • Samuel Kaski,
  • Roland C. Grafström

DOI
https://doi.org/10.1038/ncomms15932
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 15

Abstract

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Predicting the hepatotoxic effects of new drugs is still a challenge. Using toxicogenomics data, the authors here define a predictive toxicogenomic space (PTGS), the component gene space capturing dose-dependent cytotoxicity, and demonstrate that it can be used to accurately predict drug-induced liver pathology, including human drug-induced liver injury fromin vitrodata.