Unknown

Dataset Information

Chromatin state distribution of residue-specific histone acetylation in early myoblast differentiation.


ABSTRACT: 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 integrative 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 discuss experimental design and provide a comprehensive assessment regarding data quality control, filtering and processing. We also define a gene-level overlap between RNA-seq and ChIP-seq datasets through integrative analyses to offer strategies for future use of the data. Furthermore, our analyses generate a blueprint on chromatin state distribution of residue-specific

SUBMITTER: Li Y 

PROVIDER: S-EPMC9734207 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature