Project description:The transcription factor slug represses genes with E-box and then activates cancer stem cell related pathway: Wnt, Notch and Hedgehog pathway. Chromatin immunoprecipitation (ChIP) of slug by ChIP-on-chip analysis demonstrated that slug indirectly activates cancer stem cell related pathway and thus promotes vasculogenic mimicry formation. Comparison of HepG2-control in regular culture, HepG2-slug in regular culture and HepG2-slug on Matrigel.
Project description:To investigate the specific binding transcripts of METTL16, eIF3a and eIF3b in liver cancer cells, we established HepG2 cell lines following METTL16, eIF3a and eIF3b overexpression. We then performed RNA Immunoprecipitation (RIP) in HepG2 cells, and both the input and immunoprecipitated RNA were used for sequencing.
Project description:The transcription factor HIF-2a play an important role in the tumor progress, the aim is to explore the target genes of HIF-2a in liver cancer cell line. Chromatin immunoprecipitation (ChIP) of HIF-2a together with chromatin profiling by ChIP-on-chip analysis demonstrated that HIF-2a directly activates many target genes. Analyze the target genes in a liver cancer cell line MHCC97H
Project description:Trametenolic acid B (TAB) is a triterpenoid extracted from the Laetiporus sulphureus (Fr.) Murrill, which can effectively inhibit the proliferation of HepG2/2.215 cells and induce the autophagy. Proteomic analysis was performed to further study the anti-cancer mechanism of TAB. According to the peptide segment quantitative standard (FDR≤1%)，a total of 5324 proteins were identified in HepG2/2.215 by proteomic analysis.
Project description:ChIP-seq analysis of HepG2 cells revealed that many of the target genes of LSD2 were related to lipid metabolism. We found that LSD2 is an important epigenetic regulator of hepatic lipid metabolism. Examination of LSD2/DNA interaction in HepG2 cells in normal condition.
Project description:Identification of liver transcription factors binding sites by ChIP-chip using HepG2 cells. Inference of binding sites at base pair resolution was achieved by using bioinformatic tools on the generated data sets.
