Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes.

ABSTRACT: Changes in chromatin state play important roles in cell fate transitions. Current computational approaches to analyze chromatin modifications across multiple cell types do not model how the cell types are related on a lineage or over time. To overcome this limitation, we developed a method called Chromatin Module INference on Trees (CMINT), a probabilistic clustering approach to systematically capture chromatin state dynamics across multiple cell types. Compared to existing approaches, CMINT can handle complex lineage topologies, capture higher quality clusters, and reliably detect chromatin transitions between cell types. We applied CMINT to gain novel insights in two complex processes: reprogramming to induced pluripotent stem cells (iPSCs) and hematopoiesis. In reprogramming, chr

SUBMITTER: Roy S 

PROVIDER: S-EPMC5495076 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature