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Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples

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. H...

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Autores principales: Rodrigues, Robim M., Govaere, Olivier, Roskams, Tania, Vanhaecke, Tamara, Rogiers, Vera, De Kock, Joery
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063792/
https://www.ncbi.nlm.nih.gov/pubmed/27761495
http://dx.doi.org/10.1016/j.dib.2016.03.069
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author Rodrigues, Robim M.
Govaere, Olivier
Roskams, Tania
Vanhaecke, Tamara
Rogiers, Vera
De Kock, Joery
author_facet Rodrigues, Robim M.
Govaere, Olivier
Roskams, Tania
Vanhaecke, Tamara
Rogiers, Vera
De Kock, Joery
author_sort Rodrigues, Robim M.
collection PubMed
description 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].
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spelling pubmed-50637922016-10-19 Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples Rodrigues, Robim M. Govaere, Olivier Roskams, Tania Vanhaecke, Tamara Rogiers, Vera De Kock, Joery Data Brief Data Article 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]. Elsevier 2016-03-26 /pmc/articles/PMC5063792/ /pubmed/27761495 http://dx.doi.org/10.1016/j.dib.2016.03.069 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Rodrigues, Robim M.
Govaere, Olivier
Roskams, Tania
Vanhaecke, Tamara
Rogiers, Vera
De Kock, Joery
Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title_full Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title_fullStr Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title_full_unstemmed Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title_short Gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
title_sort gene expression data from acetaminophen-induced toxicity in human hepatic in vitro systems and clinical liver samples
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063792/
https://www.ncbi.nlm.nih.gov/pubmed/27761495
http://dx.doi.org/10.1016/j.dib.2016.03.069
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