title: Inferring genome-wide interplay landscape between DNA methylation and transcriptional regulation.
abstract: DNA methylation and transcriptional regulation play important roles in cancer cell development and differentiation processes. Based on the currently available cell line profiling information from the ENCODE Consortium, we propose a Bayesian inference model to infer and construct genome-wide interaction landscape between DNA methylation and transcriptional regulation, which sheds light on the underlying complex functional mechanisms important within the human cancer and disease context. For the first time, we select all the currently available cell lines (>=20) and transcription factors (>=80) profiling information from the ENCODE Consortium portal. Through the integration of those genome-wide profiling sources, our genome-wide analysis detects multiple functional loci of interest, and indicates that DNA methylation is cell- and region-specific, due to the interplay mechanisms with transcription regulatory activities. We validate our analysis results with the corresponding RNA-sequencing technique for those detected genomic loci. Our results provide novel and meaningful insights for the interplay mechanisms of transcriptional regulation and gene expression for the human cancer and disease studies.
authors: The Internet of Things School, Hohai University, Jiangsu, China / Harvard Medical School, Harvard University, Boston, MA.
authors: Binhua
authors: B
authors: Tang
authors: Harvard Medical School, Harvard University, Boston, MA.
authors: Xin
authors: X
authors: Wang
mesh_terms: D001499:Bayes Theorem; D045744:Cell Line, Tumor; D019175:DNA Methylation; D015894:Genome, Human; D006801:Humans; D009369:Neoplasms / Q000235:genetics; D014158:Transcription, Genetic