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  Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model

Doktorova, T. Y., Yildirimman, R., Ceelen, L., Vilardell, M., Vanhaecke, T., Vinken, M., et al. (2014). Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model. Experimental and Clinical Sciences Journal (EXCLI Journal), 13, 623-637.

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© 2014 Doktorova et al

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Doktorova, Tatyana Y. , Autor
Yildirimman, Reha1, Autor           
Ceelen, Liesbeth , Autor
Vilardell, Mireia2, Autor           
Vanhaecke, Tamara , Autor
Vinken, Mathieu , Autor
Ates, Gamze , Autor
Heymans, Anja, Autor
Gmuender, Hans, Autor
Bort, Roque , Autor
Corvi, Raffaella , Autor
Phrakonkham, Pascal , Autor
Li, Ruoya, Autor
Mouchet, Nicolas , Autor
Chesne, Christophe , Autor
van Delft, Joost , Autor
Kleinjans, Jos, Autor
Castell, Jose, Autor
Herwig, Ralf1, Autor           
Rogiers, Vera , Autor
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              
2Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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Schlagwörter: HepaRG cell line; gene expression profiling; genotoxic carcinogens; liver-based in vitro models; non-genotoxic carcinogens; pathways-based analysis
 Zusammenfassung: The EU FP6 project carcinoGENOMICS explored the combination of toxicogenomics and in vitro cell culture models for identifying organotypical genotoxic- and non-genotoxic carcinogen-specific gene signatures. Here the performance of its gene classifier, derived from exposure of metabolically competent human HepaRG cells to prototypical non-carcinogens (10 compounds) and hepatocarcinogens (20 compounds), is reported. Analysis of the data at the gene and the pathway level by using independent biostatistical approaches showed a distinct separation of genotoxic from non-genotoxic hepatocarcinogens and non-carcinogens (up to 88 % correct prediction). The most characteristic pathway responding to genotoxic exposure was DNA damage. Interlaboratory reproducibility was assessed by blindly testing of three compounds, from the set of 30 compounds, by three independent laboratories. Subsequent classification of these compounds resulted in correct prediction of the genotoxicants. As expected, results on the non-genotoxic carcinogens and the non-carcinogens were less predictive. In conclusion, the combination of transcriptomics with the HepaRG in vitro cell model provides a potential weight of evidence approach for the evaluation of the genotoxic potential of chemical substances.

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Sprache(n): eng - English
 Datum: 2014-05-28
 Publikationsstatus: Online veröffentlicht
 Seiten: 15
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: PMC: PMC4464292
PMID: 26417288
 Art des Abschluß: -

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Titel: Experimental and Clinical Sciences Journal (EXCLI Journal)
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Dortmund : Leibniz Research Centre for Working Environment and Human Factors
Seiten: - Band / Heft: 13 Artikelnummer: - Start- / Endseite: 623 - 637 Identifikator: ISSN: 1611-2156