Dataset features

Specifications


Dataset type: Methylation profiling by high throughput sequencing, Epigenomics
Number of samples: 15
Release date: Apr 14 2015
Last update date: Oct 18 2018
Access: Public
Diseases: Leukemia, Myeloid, Acute
Dataset link FLT3-ITD mutations and TET2 loss synergistically alter global DNA methylation in AML

Experimental Protocol


Using ERRBS, we profiled genome-wide DNA methylation patterns of the hematopoietic stem cells (LSK) population in Wide-type, Flt3-IDT, Tet2-/-, and Tet2-/-Flt3-IDT mice, each in triplicates

Repositories


GEO

GSE57114

ArrayExpress

E-GEOD-57114

ENA

SRP041463

BioProject

PRJNA245450

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Contact


Yanwen Jiang