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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Autores principales: Pekka Kohonen, Juuso A. Parkkinen, Egon L. Willighagen, Rebecca Ceder, Krister Wennerberg, Samuel Kaski, Roland C. Grafström
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/b3ffbdb2495c4ed780e332c2488fb16b
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle 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
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