Dataset on transcriptomic profiling of cholestatic liver injury in an in vitro and in vivo animal model

Eva Gijbels; Lindsey Devisscher; Mathieu Vinken

doi:10.1016/j.dib.2020.106156

Dataset on transcriptomic profiling of cholestatic liver injury in an in vitro and in vivo animal model

Eva Gijbels, Lindsey Devisscher, Mathieu Vinken

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The transcriptomic dataset (whole genome microarray Affymetrix Human U133 plus 2.0 and Affymetrix Mouse Genome 430 2.0) presented in this paper describes the differential gene expression profile of a human in vitro model of drug-induced cholestasis and a well-known mouse in vivo model of cholestasis. The in vitro model consists of human hepatoma HepaRG cells in monolayer configuration exposed to 3 different cholestatic drugs with or without bile acids. For in vivo modelling of cholestasis, mice were subjected to bile duct ligation surgery. Consecutive normalization, summarization and background adjustments have been made by means of Robust Multichip Average Express software.

Originele taal-2	English
Artikelnummer	106156
Tijdschrift	Data in Brief
Volume	32
DOI's	https://doi.org/10.1016/j.dib.2020.106156
Status	Published - okt 2020

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10.1016/j.dib.2020.106156Licentie: CC BY

paperFinal published version, 244 KBLicentie: CC BY

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title = "Dataset on transcriptomic profiling of cholestatic liver injury in an in vitro and in vivo animal model",

abstract = "The transcriptomic dataset (whole genome microarray Affymetrix Human U133 plus 2.0 and Affymetrix Mouse Genome 430 2.0) presented in this paper describes the differential gene expression profile of a human in vitro model of drug-induced cholestasis and a well-known mouse in vivo model of cholestasis. The in vitro model consists of human hepatoma HepaRG cells in monolayer configuration exposed to 3 different cholestatic drugs with or without bile acids. For in vivo modelling of cholestasis, mice were subjected to bile duct ligation surgery. Consecutive normalization, summarization and background adjustments have been made by means of Robust Multichip Average Express software.",

author = "Eva Gijbels and Lindsey Devisscher and Mathieu Vinken",

year = "2020",

month = oct,

doi = "10.1016/j.dib.2020.106156",

language = "English",

volume = "32",

journal = "Data in Brief",

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AU - Gijbels, Eva

AU - Devisscher, Lindsey

AU - Vinken, Mathieu

PY - 2020/10

Y1 - 2020/10

N2 - The transcriptomic dataset (whole genome microarray Affymetrix Human U133 plus 2.0 and Affymetrix Mouse Genome 430 2.0) presented in this paper describes the differential gene expression profile of a human in vitro model of drug-induced cholestasis and a well-known mouse in vivo model of cholestasis. The in vitro model consists of human hepatoma HepaRG cells in monolayer configuration exposed to 3 different cholestatic drugs with or without bile acids. For in vivo modelling of cholestasis, mice were subjected to bile duct ligation surgery. Consecutive normalization, summarization and background adjustments have been made by means of Robust Multichip Average Express software.

AB - The transcriptomic dataset (whole genome microarray Affymetrix Human U133 plus 2.0 and Affymetrix Mouse Genome 430 2.0) presented in this paper describes the differential gene expression profile of a human in vitro model of drug-induced cholestasis and a well-known mouse in vivo model of cholestasis. The in vitro model consists of human hepatoma HepaRG cells in monolayer configuration exposed to 3 different cholestatic drugs with or without bile acids. For in vivo modelling of cholestasis, mice were subjected to bile duct ligation surgery. Consecutive normalization, summarization and background adjustments have been made by means of Robust Multichip Average Express software.

UR - https://www.sciencedirect.com/science/article/pii/S2352340920310507?via%3Dihub

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DO - 10.1016/j.dib.2020.106156

M3 - Article

VL - 32

JO - Data in Brief

JF - Data in Brief

SN - 2352-3409

M1 - 106156

ER -

Dataset on transcriptomic profiling of cholestatic liver injury in an in vitro and in vivo animal model

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