ChIP-seq and ChIP-exo profiling of Pol II, H2A.Z, and H3K4me3 in human K562 cells.
Zenab F MchaourabAndrea A PerreaultBryan J VentersPublished in: Scientific data (2018)
The human K562 chronic myeloid leukemia cell line has long served as an experimental paradigm for functional genomic studies. To systematically and functionally annotate the human genome, the ENCODE consortium generated hundreds of functional genomic data sets, such as chromatin immunoprecipitation coupled to sequencing (ChIP-seq). While ChIP-seq analyses have provided tremendous insights into gene regulation, spatiotemporal insights were limited by a resolution of several hundred base pairs. ChIP-exonuclease (ChIP-exo) is a refined version of ChIP-seq that overcomes this limitation by providing higher precision mapping of protein-DNA interactions. To study the interplay of transcription initiation and chromatin, we profiled the genome-wide locations for RNA polymerase II (Pol II), the histone variant H2A.Z, and the histone modification H3K4me3 using ChIP-seq and ChIP-exo. In this Data Descriptor, we present detailed information on parallel experimental design, data generation, quality control analysis, and data validation. We discuss how these data lay the foundation for future analysis to understand the relationship between the occupancy of Pol II and nucleosome positions at near base pair resolution.
Keyphrases
- genome wide
- high throughput
- circulating tumor cells
- single cell
- dna methylation
- endothelial cells
- electronic health record
- rna seq
- copy number
- big data
- dna damage
- gene expression
- healthcare
- transcription factor
- induced pluripotent stem cells
- chronic myeloid leukemia
- induced apoptosis
- high resolution
- oxidative stress
- cell free
- data analysis
- signaling pathway
- social media
- mass spectrometry
- health information
- current status
- protein protein
- endoplasmic reticulum stress