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Dissecting neural differentiation regulatory networks through epigenetic footprinting.

Authors :
Ziller, Michael J.
Edri, Reuven
Yaffe, Yakey
Donaghey, Julie
Pop, Ramona
Mallard, William
Issner, Robbyn
Gifford, Casey A.
Goren, Alon
Xing, Jeffrey
Gu, Hongcang
Cacchiarelli, Davide
Tsankov, Alexander M.
Epstein, Charles
Rinn, John L.
Mikkelsen, Tarjei S.
Kohlbacher, Oliver
Gnirke, Andreas
Bernstein, Bradley E.
Elkabetz, Yechiel
Source :
Nature. 2/19/2015, Vol. 518 Issue 7539, p355-359. 5p.
Publication Year :
2015

Abstract

Models derived from human pluripotent stem cells that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signalling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells in the embryonic and adult nervous system. Here we report the transcriptional and epigenomic analysis of six consecutive neural progenitor cell stages derived from a HES5::eGFP reporter human embryonic stem cell line. Using this system, we aimed to model cell-fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect regulatory mechanisms that orchestrate the stage-specific differentiation process, we developed a computational framework to infer key regulators of each cell-state transition based on the progressive remodelling of the epigenetic landscape and then validated these through a pooled short hairpin RNA screen. We were also able to refine our previous observations on epigenetic priming at transcription factor binding sites and suggest here that they are mediated by combinations of core and stage-specific factors. Taken together, we demonstrate the utility of our system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
518
Issue :
7539
Database :
Academic Search Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
101513448
Full Text :
https://doi.org/10.1038/nature13990