A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
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 liv...
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Nature Portfolio
2017
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oai:doaj.org-article:b3ffbdb2495c4ed780e332c2488fb16b2021-12-02T14:42:25ZA transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury10.1038/ncomms159322041-1723https://doaj.org/article/b3ffbdb2495c4ed780e332c2488fb16b2017-07-01T00:00:00Zhttps://doi.org/10.1038/ncomms15932https://doaj.org/toc/2041-1723Predicting 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.Pekka KohonenJuuso A. ParkkinenEgon L. WillighagenRebecca CederKrister WennerbergSamuel KaskiRoland C. GrafströmNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-15 (2017) |
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Science Q Pekka Kohonen Juuso A. Parkkinen Egon L. Willighagen Rebecca Ceder Krister Wennerberg Samuel Kaski Roland C. Grafström A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
description |
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. |
format |
article |
author |
Pekka Kohonen Juuso A. Parkkinen Egon L. Willighagen Rebecca Ceder Krister Wennerberg Samuel Kaski Roland C. Grafström |
author_facet |
Pekka Kohonen Juuso A. Parkkinen Egon L. Willighagen Rebecca Ceder Krister Wennerberg Samuel Kaski Roland C. Grafström |
author_sort |
Pekka Kohonen |
title |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
title_short |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
title_full |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
title_fullStr |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
title_full_unstemmed |
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
title_sort |
transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/b3ffbdb2495c4ed780e332c2488fb16b |
work_keys_str_mv |
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1718389711421046784 |