Project description:This SuperSeries is composed of the following subset Series: GSE36839: Expression data from OE33 oesophageal adenocarcinoma tumour cells following 24 hour co-culture with human adipose tissue explants or control M199 medium. GSE36840: Expression data from OE33 oesophageal adenocarcinoma tumour cells following 24 hour co-culture with human adipocytes or control M199 medium. Refer to individual Series
Project description:This dataset consists of in situ HiC-seq data from a human oesophageal adenocarcinoma cell line (OE19). In total, the dataset includes 2 biological replicated samples. The Hi-C sample and library preparations were generated using Arima-HiC Kit (A510008, ARIMA Genomics) and Arima Library Prep module (A303011, ARIMA Genomics), respectively.
Project description:To identify AP-1 regulated genes in KYAE-1 and OE19 oesophageal adenocarcinoma cells we induced expression of dominant negative (acidic) FOS to inhibit AP-1 activity and then performed RNA-seq. Acidic FOS (aFOS, J Biol Chem. 1997 Jul 25;272(30):18586-94. doi: 10.1074/jbc.272.30.18586) was expressed from the pINDUCER20 vector.
Project description:We profiled esophageal adenocarcinoma cell lines with chromatin immunoprecipitation sequencing (ChIP-Seq). Mathematically modeling was performed to establish (super)-enhancers landscapes and inter-connected transcriptional circuitry formed by master TFs. Coregulation and cooperation between master TFs was investigated by ChIP-Seq, RNA-Seq, 4C-Seq and luciferase assay. Biological functions of candidate factors were evaluated by measuring cell proliferation, colony formation, cell apoptosis and xenograft growth. Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. Here, we aim to compare of Eso26 or OE33 cells knock down PPARG with siRNA and control transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. We also report the application of ChIP sequencing technology for studying master transcription factor (PPARG) in human esophageal adenocarcinoma cancer cell lines (Eso26 and OE33).