Browse by author
Lookup NU author(s): Dr Daniel Rico RodriguezORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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 identities. The inclusion of leukemia epigenomes in the healthy hematological chromatin sample space gives us insights on the healthy cell types that are more epigenetically similar to the disease samples. Further analysis of tumoral epigenetic alterations in hematopoietic CDRs points to sets of genes that are tightly regulated in leukemic transformations and commonly mutated in other tumors. Our method provides an analytical approach to study the relationship between epigenomic changes and cell lineage differentiation. Method availability: https://github.com/david-juan/ChromDet.
Author(s): Carrillo-de-Santa-Pau E, Juan D, Pancaldi V, Were F, Martin-Subero I, Rico D, Valencia A, The BLUEPRINT Consortium
Publication type: Article
Publication status: Published
Journal: Nucleic Acids Research
Year: 2017
Volume: 45
Issue: 16
Pages: 9244-9259
Print publication date: 19/12/2017
Online publication date: 17/08/2017
Acceptance date: 06/07/2017
Date deposited: 11/09/2017
ISSN (print): 1362-4954
ISSN (electronic): 0305-1048
Publisher: Oxford University Press
URL: https://doi.org/10.1093/nar/gkx618
DOI: 10.1093/nar/gkx618
Altmetrics provided by Altmetric