Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states.

ABSTRACT: Interpreting the functional state of chromatin from the combinatorial binding patterns of chromatin factors, that is, the chromatin codes, is crucial for decoding the epigenetic state of the cell. Here we present a systematic map of Drosophila chromatin states derived from data-driven probabilistic modelling of dependencies between chromatin factors. Our model not only recapitulates enhancer-like chromatin states as indicated by widely used enhancer marks but also divides these states into three functionally distinct groups, of which only one specific group possesses active enhancer activity. Moreover, we discover a strong association between one specific enhancer state and RNA Polymerase II pausing, linking transcription regulatory potential and chromatin organization. We also observe tha

SUBMITTER: Zhou J 

PROVIDER: S-EPMC4742914 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature