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Series GSE123402 Query DataSets for GSE123402
Status Public on Dec 07, 2018
Title Systematic transcriptome analysis of white tea based on microarray
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Emerging in vivo and vitro data suggest that white tea extract (WTE) is capable of favourably modulating metabolic syndrome, especially by ameliorating abnormal lipid metabolism. Microarray-based gene expression profiling was performed in HepG2 cells to analyze the effects of WTE from a systematic perspective. Gene Ontology and pathway analysis revealed that WTE significantly affected pathways related to lipid metabolism. WTE significantly downregulated apolipoprotein B (APOB) and microsomal triglyceride transfer protein (MTTP) expression and thereby reduced the production of very-low-density lipoprotein. In the meanwhile, WTE stimulated low-density lipoprotein-cholesterol (LDL-c) uptake through targeting low-density lipoprotein receptor (LDLR), as a consequence of the activation of sterol regulatory element-binding protein 2 (SREBP2) and peroxisome proliferator-activated receptor ╬┤ (PPAR╬┤). Furthermore, WTE significantly downregulated triglycerides synthetic genes and reduced intracellular triglycerides accumulation. Besides, we demonstrated that the tea catechins epigallocatechin-3-gallate (EGCG) and epicatechin-3-gallate (ECG) are abundant in WTE and contribute to the regulation of cholesterol metabolism related genes, including LDLR, MTTP and APOB. Our findings suggest white tea plays important roles in ameliorating abnormal lipid metabolism in vitro.
Overall design HepG2 cells were treated with white tea extract (WTE) or DMSO (control group) for 24 hours. Gene expression of different groups were measured by the standard protocol for Agilent DNA chip. KEGG and Reactome analysis were performed to explore WTE functions on hepatic cells.
Contributor(s) Luo K, Xie L
Citation(s) 32334376
Submission date Dec 06, 2018
Last update date Dec 11, 2020
Contact name kun luo
Organization name Tsinghua university
Street address Haidian district
City Beijing
State/province Beijing
ZIP/Postal code 100084
Country China
Platforms (1)
GPL17077 Agilent-039494 SurePrint G3 Human GE v2 8x60K Microarray 039381 (Probe Name version)
Samples (2)
GSM3502695 SAMPLE 1_HepG2_DMSO_24h
GSM3502696 SAMPLE 2_HepG2_WTE_24h
BioProject PRJNA508632

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE123402_RAW.tar 6.3 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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