Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient
The provided dataset describes the differential gene expression profile of human hepatoma HepaRG cells cultured in monolayer configuration upon treatment with chemical compounds with cholestatic potential, including food additives sunset yellow and tartrazine and cosmetic ingredient triclosan, while...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921006557 |
| _version_ | 1818983256874287104 |
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| author | Eva Gijbels Lindsey Devisscher Mathieu Vinken |
| author_facet | Eva Gijbels Lindsey Devisscher Mathieu Vinken |
| author_sort | Eva Gijbels |
| collection | DOAJ |
| description | The provided dataset describes the differential gene expression profile of human hepatoma HepaRG cells cultured in monolayer configuration upon treatment with chemical compounds with cholestatic potential, including food additives sunset yellow and tartrazine and cosmetic ingredient triclosan, while being exposed to a highly concentrated bile acid mixture. Whole genome microarray Affymetrix Human U133 plus 2.0 was used to obtain the raw data followed by normalization, summarization and background adjustments by means of Robust Multichip Average Express software. Raw data of the different conditions were included as .CEL files in the Gene Expression Omnibus with accession number GSE169072. These data may serve as the basis for further refinement studies to establish an adequate transcriptomic signature of chemical-induced cholestasis fit-for-purpose in screening the cholestatic liability of different types of chemical compounds. |
| first_indexed | 2024-12-20T18:00:14Z |
| format | Article |
| id | doaj.art-30090a8a26354b8da246e3bec9e3db58 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-20T18:00:14Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-30090a8a26354b8da246e3bec9e3db582022-12-21T19:30:39ZengElsevierData in Brief2352-34092021-10-0138107373Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredientEva Gijbels0Lindsey Devisscher1Mathieu Vinken2Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium; Gut-Liver Immunopharmacology Unit, Basic and Applied Medical Sciences, Liver Research Center Ghent, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, Ghent 9000, BelgiumGut-Liver Immunopharmacology Unit, Basic and Applied Medical Sciences, Liver Research Center Ghent, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, Ghent 9000, BelgiumDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium; Corresponding author.The provided dataset describes the differential gene expression profile of human hepatoma HepaRG cells cultured in monolayer configuration upon treatment with chemical compounds with cholestatic potential, including food additives sunset yellow and tartrazine and cosmetic ingredient triclosan, while being exposed to a highly concentrated bile acid mixture. Whole genome microarray Affymetrix Human U133 plus 2.0 was used to obtain the raw data followed by normalization, summarization and background adjustments by means of Robust Multichip Average Express software. Raw data of the different conditions were included as .CEL files in the Gene Expression Omnibus with accession number GSE169072. These data may serve as the basis for further refinement studies to establish an adequate transcriptomic signature of chemical-induced cholestasis fit-for-purpose in screening the cholestatic liability of different types of chemical compounds.http://www.sciencedirect.com/science/article/pii/S2352340921006557Chemical-induced cholestasisCosmetic ingredientFood additiveMicroarrayTranscriptomics |
| spellingShingle | Eva Gijbels Lindsey Devisscher Mathieu Vinken Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient Data in Brief Chemical-induced cholestasis Cosmetic ingredient Food additive Microarray Transcriptomics |
| title | Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| title_full | Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| title_fullStr | Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| title_full_unstemmed | Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| title_short | Dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| title_sort | dataset on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient |
| topic | Chemical-induced cholestasis Cosmetic ingredient Food additive Microarray Transcriptomics |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921006557 |
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