Epigenetic and transcriptional profiling of triple negative breast cancer.
Andrea A PerreaultDanielle M SprungerBryan J VentersPublished in: Scientific data (2019)
The human HCC1806 cell line is frequently used as a preclinical model for triple negative breast cancer (TNBC). Given that dysregulated epigenetic mechanisms are involved in cancer pathogenesis, emerging therapeutic strategies target chromatin regulators, such as histone deacetylases. A comprehensive understanding of the epigenome and transcription profiling in HCC1806 provides the framework for evaluating efficacy and molecular mechanisms of epigenetic therapies. Thus, to study the interplay of transcription and chromatin in the HCC1806 preclinical model, we performed nascent transcription profiling using Precision Run-On coupled to sequencing (PRO-seq). Additionally, we mapped the genome-wide locations for RNA polymerase II (Pol II), the histone variant H2A.Z, seven histone modifications, and CTCF using ChIP-exo. ChIP-exonuclease (ChIP-exo) is a refined version of ChIP-seq with near base pair precision mapping of protein-DNA interactions. In this Data Descriptor, we present detailed information on 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 nascent transcription and chromatin.
Keyphrases
- dna methylation
- genome wide
- transcription factor
- gene expression
- single cell
- high throughput
- electronic health record
- circulating tumor cells
- big data
- copy number
- quality control
- rna seq
- endothelial cells
- dna damage
- machine learning
- oxidative stress
- high resolution
- cell therapy
- circulating tumor
- mass spectrometry
- deep learning
- health information
- social media
- artificial intelligence
- amino acid
- young adults
- high density
- protein protein
- binding protein