Toxicogenomics directory of rat hepatotoxicants in vivo and in cultivated hepatocytes
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Toxicogenomics directory of rat hepatotoxicants in vivo and in cultivated hepatocytes. / Grinberg, Marianna; Stöber, Regina M; Albrecht, Wiebke; Edlund, Karolina; Schug, Markus; Godoy, Patricio; Cadenas, Cristina; Marchan, Rosemarie; Lampen, Alfonso; Braeuning, Albert; Buhrke, Thorsten; Leist, Marcel; Oberemm, Axel; Hellwig, Birte; Kamp, Hennicke; Gardner, Iain; Escher, Sylvia; Taboureau, Olivier; Aguayo-Orozco, Alejandro; Sachinidis, Agapios; Ellinger-Ziegelbauer, Heidrun; Rahnenführer, Jörg; Hengstler, Jan G.
In: Archives of Toxicology, Vol. 92, No. 12, 2018, p. 3517-3533.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Toxicogenomics directory of rat hepatotoxicants in vivo and in cultivated hepatocytes
AU - Grinberg, Marianna
AU - Stöber, Regina M
AU - Albrecht, Wiebke
AU - Edlund, Karolina
AU - Schug, Markus
AU - Godoy, Patricio
AU - Cadenas, Cristina
AU - Marchan, Rosemarie
AU - Lampen, Alfonso
AU - Braeuning, Albert
AU - Buhrke, Thorsten
AU - Leist, Marcel
AU - Oberemm, Axel
AU - Hellwig, Birte
AU - Kamp, Hennicke
AU - Gardner, Iain
AU - Escher, Sylvia
AU - Taboureau, Olivier
AU - Aguayo-Orozco, Alejandro
AU - Sachinidis, Agapios
AU - Ellinger-Ziegelbauer, Heidrun
AU - Rahnenführer, Jörg
AU - Hengstler, Jan G
PY - 2018
Y1 - 2018
N2 - Transcriptomics is developing into an invaluable tool in toxicology. The aim of this study was, using a transcriptomics approach, to identify genes that respond similar to many different chemicals (including drugs and industrial compounds) in both rat liver in vivo and in cultivated hepatocytes. For this purpose, we analyzed Affymetrix microarray expression data from 162 compounds that were previously tested in a concentration-dependent manner in rat livers in vivo and in rat hepatocytes cultivated in sandwich culture. These data were obtained from the Japanese Toxicogenomics Project (TGP) and North Rhine-Westphalian (NRW) data sets, which represent 138 and 29 compounds, respectively, and have only 5 compounds in common between them. The in vitro gene expression data from the NRW data set were generated in the present study, while TGP is publicly available. For each of the data sets, the overlap between up- or down-regulated genes in vitro and in vivo was identified, and named in vitro-in vivo consensus genes. Interestingly, the in vivo-in vitro consensus genes overlapped to a remarkable extent between both data sets, and were 21-times (upregulated genes) or 12-times (down-regulated genes) enriched compared to random expectation. Finally, the genes in the TGP and NRW overlap were used to identify the upregulated genes with the highest compound coverage, resulting in a seven-gene set of Cyp1a1, Ugt2b1, Cdkn1a, Mdm2, Aldh1a1, Cyp4a3, and Ehhadh. This seven-gene set was then successfully tested with structural analogues of valproic acid that are not present in the TGP and NRW data sets. In conclusion, the seven-gene set identified in the present study responds similarly in vitro and in vivo to a wide range of different chemicals. Despite these promising results with the seven-gene set, transcriptomics with cultivated rat hepatocytes remains a challenge, because in general many genes are up- or downregulated by in vitro culture per se, respond differently to test compounds in vitro and in vivo, and/or show higher variability in the in vitro system compared to the corresponding in vivo data.
AB - Transcriptomics is developing into an invaluable tool in toxicology. The aim of this study was, using a transcriptomics approach, to identify genes that respond similar to many different chemicals (including drugs and industrial compounds) in both rat liver in vivo and in cultivated hepatocytes. For this purpose, we analyzed Affymetrix microarray expression data from 162 compounds that were previously tested in a concentration-dependent manner in rat livers in vivo and in rat hepatocytes cultivated in sandwich culture. These data were obtained from the Japanese Toxicogenomics Project (TGP) and North Rhine-Westphalian (NRW) data sets, which represent 138 and 29 compounds, respectively, and have only 5 compounds in common between them. The in vitro gene expression data from the NRW data set were generated in the present study, while TGP is publicly available. For each of the data sets, the overlap between up- or down-regulated genes in vitro and in vivo was identified, and named in vitro-in vivo consensus genes. Interestingly, the in vivo-in vitro consensus genes overlapped to a remarkable extent between both data sets, and were 21-times (upregulated genes) or 12-times (down-regulated genes) enriched compared to random expectation. Finally, the genes in the TGP and NRW overlap were used to identify the upregulated genes with the highest compound coverage, resulting in a seven-gene set of Cyp1a1, Ugt2b1, Cdkn1a, Mdm2, Aldh1a1, Cyp4a3, and Ehhadh. This seven-gene set was then successfully tested with structural analogues of valproic acid that are not present in the TGP and NRW data sets. In conclusion, the seven-gene set identified in the present study responds similarly in vitro and in vivo to a wide range of different chemicals. Despite these promising results with the seven-gene set, transcriptomics with cultivated rat hepatocytes remains a challenge, because in general many genes are up- or downregulated by in vitro culture per se, respond differently to test compounds in vitro and in vivo, and/or show higher variability in the in vitro system compared to the corresponding in vivo data.
U2 - 10.1007/s00204-018-2352-3
DO - 10.1007/s00204-018-2352-3
M3 - Journal article
C2 - 30511339
VL - 92
SP - 3517
EP - 3533
JO - Archives of Toxicology
JF - Archives of Toxicology
SN - 0340-5761
IS - 12
ER -
ID: 211996148