| Popis: |
Dynamic changes in epigenetic landscape reflect a critical command of lineage-specific gene expression. In an effort to discern the epigenetic regulatory networks of myogenic differentiation, we have used systematic and integrated approaches to explore multi-omics datasets on global myogenic gene expression, histone acetylation and acetyltransferase occupancy in view of distinct chromatin states. In this brief report, we present a comprehensive assessment regarding the experimental design, quality control, filtering steps and data processing. We also define a gene-level overlap between RNA-seq and ChIP-seq datasets through integrated analyses to offer strategies for future use of the data. Furthermore, our analyses provide a blueprint of chromatin states associated with residue-specific histone acetylation, histone acetyltransferase p300-concomitant epigenetic landscape in committed skeletal myoblasts and differential histone acetylation signatures in early myoblast differentiation. These datasets can be further utilized to delineate the function of muscle-specific regulatory elements governed by other muscle myogenic regulators or signaling molecules. |
