Effects of Epigallocatechingallate on Lipid Metabolism Related Gene and Long Non-coding RNA Expression Profile in HepG2 Cells / 中国循环杂志

ABSTRACT

Objective: To investigate the effects of epigallocatechingallate (EGCG) on lipid metabolism related gene and long non-coding RNA (lncRNA) expression proifle by biochip technology, and to explore the possible relationship between the two elements. Methods: HepG2 cell was cultured with EGCG at 25μmol/L for 24 hours, the total RNA was extracted and hybridized into the biochip of Human Transcriptome Array 2.0 for mRNA and lncRNA expression profile analysis. Bioinformatics technology was used to establish the possible relationship between lncRNA and the predicted target genes;the data obtained from biochip microarray was conifrmed by real time RT-PCR examination. Results: The microarray revealed that EGCG treated HepG2 cell expressed 27 differential lipid metabolism genes and 11 of them involved in cholesterol metabolism. In addition, there 285 lncRNA expressions were up-or down-regulated. Bioinformatics technology indicated that the predicted target genes for lipid metabolism might be cis-or trans-regulated by lncRNA;the data from real-time RT-PCR was consistent with the data from biochip microarray. Conclusion: Tea polyphenols improves lipid metabolism and lncRNA might be involved in the regulation of lipid metabolism related gene.