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Series GSE137982 Query DataSets for GSE137982
Status Public on Jul 08, 2020
Title ChIP-seq from erythroid cells generated through ex vivo differentiation
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary CD34+ Haematopoietic stem cells were differentiated ex vivo to generate ChIP-seq data for machine learning of rules underlying open chromatin dynamics.
 
Overall design CD34+ cells were isolated from peripheral blood from three healthy donors (Two males, one female) and differentiatied ex vivo. ChIP-seq for key histopne marks (H3K27ac, H3K4me3) and transcription factors (CTCF, Gata-1) were performed at day 13 of differentiation.
 
Contributor(s) Downes DJ, Gosden M, Nussbaum L, Hughes JR
Citation(s) 33046896
Submission date Sep 25, 2019
Last update date Jan 27, 2021
Contact name Damien Downes
E-mail(s) damien.downes@ndcls.ox.ac.uk
Phone 01865222374
Organization name The University of Oxford
Department MRC Weatherall Institute of Medicine
Street address John Radcliffe Hospital
City Headington
State/province Oxfordshire
ZIP/Postal code OX3 9DU
Country United Kingdom
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (18)
GSM4096231 Erythroid cells, CTCF_Don001_Ery_d13_rep1
GSM4096232 Erythroid cells, CTCF_Don002_Ery_d13_rep1
GSM4096233 Erythroid cells, CTCF_Don003_Ery_d13_rep1
This SubSeries is part of SuperSeries:
GSE137983 Characterization of erythroid cells generated through ex vivo differentiation
Relations
BioProject PRJNA574100
SRA SRP223248

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE137982_RAW.tar 7.8 Gb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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