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Microarray data and pathway analyses for primary human activated hepatic stellate cells compared to HepG2 human
Alexandra M Hetherington1, Cynthia G Sawyez1, Nica M Borradaile1
1Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Data in Brief
|January 5, 2017
Summary
This study compares gene expression in activated hepatic stellate cells and hepatocellular carcinoma cells, revealing differences crucial for understanding nonalcoholic fatty liver disease progression. Key metabolic genes were identified, aiding future research into liver fibrosis and cancer.
Area of Science:
- Hepatology
- Molecular Biology
- Genomics
Background:
- Nonalcoholic fatty liver disease (NAFLD) can advance to severe conditions like fibrosis, cirrhosis, and hepatocellular carcinoma (HCC).
- Activated hepatic stellate cells (HSCs) and HCC cells are key cellular components in advanced NAFLD.
- Direct global gene expression comparisons between activated HSCs and HCC cells are currently limited.
Purpose of the Study:
- To identify differentially expressed genes between primary human activated HSCs and HepG2 human hepatoma cells.
- To provide a comprehensive dataset for understanding cellular changes in advanced liver disease.
- To analyze pathways involving significantly up-regulated or down-regulated genes.
Main Methods:
- Utilized Affymetrix GeneChip microarrays for global gene expression profiling.
- Compared gene expression patterns in cultured primary human activated HSCs against HepG2 cells.
- Performed pathway analysis on genes with a fold change greater than 2.0.
Main Results:
- Identified significant differences in global gene expression between activated HSCs and HepG2 cells.
- Highlighted numerous genes involved in intermediary metabolism with differential expression.
- Provided pathway analysis data for both up-regulated and down-regulated genes.
Conclusions:
- The study provides valuable gene expression data comparing activated HSCs and HCC cells.
- Findings contribute to understanding the molecular basis of cellular changes in progressive NAFLD.
- The dataset serves as a foundation for further investigation into liver fibrosis and hepatocellular carcinoma.
