Project description:The aim of the experiment is to identify genome wide binding sites for the transcription factor MYCN in MYCN non-amplified and MYCN amplified human neuroblastoma cell lines. Datasets are presented for the ChIP-seq analysis in the tetracycline inducible cell line SH-SY5Y-MYCN (SH-SY5Y/6TR(EU)/pTrex-Dest-30/MYCN), derivative of the parental cell line SH-SY5Y; for noninduced cells and for 24 and 48 hours of Tet induction. Analysis for patinet matched MYCN amplified cell lines SMS-KCN and SMS-KCNR is also included.
Project description:The impact of drugs inhibiting DNA methylation (5-aza-2'-deoxycytodine, DAC) and EZH2 (EPZ-6438) on H3K27me3 coverage was analyzed in two neuroblastoma cell lines. Parallel analyses investigated associated changes in RNA expression and DNA methylation. The neuroblastoma cell lines Be(2)-C and IMR5-75 were treated with a combination of DAC and EPZ-6438. Controls were treated with solvent (DMSO). H3K27me3 ChIP seq was done to investigate treatment-related changes of this mark. In addition, H3K4me3 and H3K27ac ChIP seq was done in DMSO treated samples to identify putative regulatory regions.
Project description:Understanding the aberrant transcriptional landscape of neuroblastoma is necessary to provide insight to the underlying influences of the initiation, progression and persistence of this developmental cancer. Here, we present chromatin immunoprecipitation sequencing (ChIP-Seq) data for the oncogenic transcription factors, MYCN and MYC, as well as regulatory histone marks H3K4me1, H3K4me3, H3K27Ac, and H3K27me3 in ten commonly used human neuroblastoma-derived cell line models. In addition, for all of the profiled cell lines we provide ATAC-Seq as a measure of open chromatin. We validate specificity of global MYCN occupancy in MYCN amplified cell lines and functional redundancy of MYC occupancy in MYCN non-amplified cell lines. Finally, we show with H3K27Ac ChIP-Seq that these cell lines retain expression of key neuroblastoma super-enhancers (SE). We anticipate this dataset, coupled with available transcriptomic profiling on the same cell lines, will enable the discovery of novel gene regulatory mechanisms in neuroblastoma. This SuperSeries is composed of the SubSeries listed below.