Automatic identification of informative regions with epigenomic changes associated to hematopoiesis.

ABSTRACT: Hematopoiesis is one of the best characterized biological systems but the connection between chromatin changes and lineage differentiation is not yet well understood. We have developed a bioinformatic workflow to generate a chromatin space that allows to classify 42 human healthy blood epigenomes from the BLUEPRINT, NIH ROADMAP and ENCODE consortia by their cell type. This approach let us to distinguish different cells types based on their epigenomic profiles, thus recapitulating important aspects of human hematopoiesis. The analysis of the orthogonal dimension of the chromatin space identify 32,662 chromatin determinant regions (CDRs), genomic regions with different epigenetic characteristics between the cell types. Functional analysis revealed that these regions are linked with cell iden

SUBMITTER: Carrillo-de-Santa-Pau E 

PROVIDER: S-EPMC5716146 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature