Transcriptomics

Dataset Information

0

Human fatty liver RT-PCR array on primary human hepatocytes grown with 3t3-J2 stromal cells in a micropatterned co-culture


ABSTRACT: Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent, progressive disorder and growing public health concern. To address this issue considerable research has been undertaken in pursuit of new NAFLD therapeutics. Development of effective, high-throughput in vitro models is an important aspect of drug discovery. Here, a micropatterned hepatocyte co-culture (MPCC) was used to model liver steatosis. The MPCC model (HEPATOPAC) involves hepatocytes and 3T3-J2 mouse stromal cells patterned onto a standard 96-well plate, increasing throughput and allowing the cultures to be handled and imaged like 2D cultures. These studies employed high content imaging (HCI) analysis to assess lipid content in cultures. HCI analysis of lipid accumulation allows large numbers of samples to be imaged and analyzed in a relatively short period of time compared to manual acquisition and analysis methods. Treatment of MPCC with free fatty acids (FFA), high glucose and fructose (HGF), or a combination o f both induces hepatic steatosis. MPCC treatment with ACC1/ACC2 inhibitors, as either a preventative or reversal agent showed efficacy against FFA induced hepatic steatosis. Drug induced steatosis was also evaluated. Treatment with valproic acid showed steatosis induction in a lean background, which was significantly potentiated in a fatty liver background. Additionally, these media treatments changed expression of fatty liver related genes. Treatment of MPCC with FFA, HGF, or a combination reversibly altered expression of genes involved in fatty acid metabolism, insulin signaling, and lipid transport. Together, these data demonstrate that MPCC is an easy to use, long-term functional in vitro model of NAFLD having utility for compound screening, drug toxicity evaluation, and assessment of gene expression changes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE240886 | GEO | 2023/09/22

REPOSITORIES: GEO

Similar Datasets

2024-01-16 | MODEL2306280002 | BioModels
2020-05-26 | PXD013423 | Pride
2018-12-26 | GSE113843 | GEO
2024-04-12 | GSE260582 | GEO
2024-04-12 | GSE260581 | GEO
2018-09-25 | GSE89157 | GEO
2015-07-02 | E-GEOD-59045 | biostudies-arrayexpress
2018-02-01 | GSE94754 | GEO
2022-11-10 | GSE197399 | GEO
2016-06-01 | E-MTAB-4231 | biostudies-arrayexpress