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Lookup NU author(s): Dr Olivier GovaereORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2016 The Authors. This data set is composed of transcriptomics analyses of (i) liver samples from patients suffering from acetaminophen-induced acute liver failure (ALF) and (ii) hepatic cell systems exposed to acetaminophen and their respective controls. The in vitro systems include widely employed cell lines i.e. HepaRG and HepG2 cells as well as a novel stem cell-derived model i.e. human skin-precursors-derived hepatocyte-like cells (hSKP-HPC). Data from primary human hepatocytes was also added to the data set "Open TG-GATEs: a large-scale toxicogenomics database" (Igarashi et al., 2015) [1]. Changes in gene expression due to acetaminophen intoxication as well as comparative information between human in vivo and in vitro samples are provided. The microarray data have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GEO: GSE74000. The provided data is used to evaluate the predictive capacity of each hepatic in vitro system and can be directly compared with large-scale publically available toxicogenomics databases. Further interpretation and discussion of these data feature in the corresponding research article "Toxicogenomics-based prediction of acetaminophen-induced liver injury using human hepatic cell systems" (Rodrigues et al., 2016) [2].
Author(s): Rodrigues RM, Govaere O, Roskams T, Vanhaecke T, Rogiers V, De Kock J
Publication type: Article
Publication status: Published
Journal: Data in Brief
Year: 2016
Volume: 7
Pages: 1052-1057
Print publication date: 01/06/2016
Online publication date: 26/03/2016
Acceptance date: 18/03/2017
Date deposited: 08/12/2017
ISSN (electronic): 2352-3409
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.dib.2016.03.069
DOI: 10.1016/j.dib.2016.03.069
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