Abstract
Due to serious adverse effects, many of the approved anti-obesity medicines have been withdrawn, and the selection of safer natural ingredients is of great interest. Epigallocatechin gallate (EGCG) is one of the major green tea catechins, and has been demonstrated to possess an anti-obesity function by regulating both white and brown adipose tissue activity. However, there are currently no publicly available studies describing the effects of EGCG on the two distinct adipose tissue transcriptomes. The stromal vascular fraction (SVF) cell derived from adipose tissue is a classic cell model for studying adipogenesis and fat accumulation. In the current study, primary WAT and BAT SVF cells were isolated and induced to adipogenic differentiation in the presence or absence of EGCG. RNA-seq was used to determine genes regulated by EGCG and identify the key differences between the two functionally distinct adipose tissues. Taken together, we provide detailed stage- and tissue-specific gene expression profiles affected by EGCG. These data will be valuable for obesity-related clinical/basic research.
Highlights
Background & SummaryObesity is defined as abnormally excessive body fat accumulation
Animal adipose tissue mainly includes white adipose tissue (WAT) and brown adipose tissue (BAT), which could be distinguished from cell structures and functional roles
Many large lipid droplets accumulate in WAT, while only a few small lipid droplets can be identified in BAT
Summary
Obesity is defined as abnormally excessive body fat accumulation. Recent studies demonstrated that EGCG regulates both WAT and BAT activity. It could reduce white adipose tissue mass by inhibiting the synthesis of de novo fatty acids and increasing lipolysis[11], and increase. A systemic comparison of transcriptomes that are affected by EGCG in both WAT and BAT is lacking, which is of great interest to the field. We performed Illumina RNA-seq and bioinformatics analysis of the mRNA profile (Fig. 1) This comprehensive dataset will provide the stage- and tissue-specific effects of EGCG on adipogenesis and fat storage. The dataset might be a very useful resource to researchers for the development of therapies to treat obesity and other metabolic diseases
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