Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Genome-wide binding profiles of nuclear FGFR1, RXRα and Nur77 in pluripotent mouse Embryonic Stem Cells and during Retinoic Acid-induced differentiation      
availability:
available
aggregation:
instance of dataset
privacy:
not applicable
refinement:
curated
dateReleased:
05-10-2015
ID:
E-GEOD-65695
description:
We report the genome-wide binding patterns of nuclear FGFR1, RXRα and Nur77 in pluripotenet mESC and as mESC differentiate towared a neuronal lineage in response to high levels of Retinoic Acid treatment in vitro. We also report the genome-wide incorporation of histone varant H3.3 into chromatin specifically during Retinoic Acid-induced differentiation. This study presents nuclear FGFR1 as a global factor that controls genomic function by binding within the promoters of thousands of genes, both alone and in cooperation with RXR, Nur77 and histone H3.3, by targeting consensus DNA sequences of diverse transcription factor families. As such, it identifies a previously unknown, multifaceted form of control of major ontogenic pathways and gene networks targeted by the nuclear form of FGFR1. Examination of nuclear FGFR1, RXRα, and Nur77 binding sites in 2 celluar states. Examination of H3.3 incorporation in 1 cellular state.
keywords:
ChIP-seq
format:
HTML
storedIn:
Array Express
qualifier:
not compressed
accessType:
landing page
authorization:
none
authentication:
none
primary:
true
accessURL: https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-65695
format:
JSON
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-65695.json
format:
XML
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: http://www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-65695.xml
ID:
SCR:014747
name:
Omics Discovery Index
abbreviation:
OmicsDI
homePage: http://www.omicsdi.org/

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.