GEO DataSets

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL9250 GPL6246

15 Samples

Download data: BED, CEL, CHP

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL9250 GPL6246

10 Samples

Download data: BED, CEL, CHP

(Submitter supplied) We compared the transcriptomes of differentiating cultures of ES cell derived erythroid progentor cells (ES-EP) and murine erythroleukemia (MEL) cells stably transfected with GATA-1 fused to ER.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

4 Samples

Download data: CEL, CHP

(Submitter supplied) We find GATA-1 occupies 6,600 sites in proliferating erythroid progenitors and 10,600 sites in differentiating progenitors. 80-90% of GATA-1 binds within intragenic or intergenic regions, while <20% of GATA-1 is found within 2kb of TSS.

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9250

6 Samples

Download data: BED

(Submitter supplied) We find that the myeloid master regulatory transcription factor, PU.1, binds to >16,000 sites in both normal and leukemic erythroid cells. Of these bound sites, ~7,000 lie within 2kb of TSS of a gene, suggesting PU.1 may regulate a large number of genes in erythroid cells. Coupling this data with gene expression analysis, we show PU.1 directly regulates several critical signaling pathways in erythroid cells.

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9250

11 Samples

Download data: BED

(Submitter supplied) We compared the transcriptomes of ES cell derived erythroid progentor cells (ES-EP) and murine erythroleukemia (MEL) cells stably transfected with Gata-1 fused to ER.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

4 Samples

Download data: CEL, CHP

(Submitter supplied) Klf1 (formerly known as Eklf) regulates the development of erythroid cells from bi-potent progenitor cells via the transcriptional activation of a diverse set of genes. Mice lacking Klf1 die in utero prior to E15 from severe anemia due to the inadequate expression of genes controlling hemoglobin production, cell membrane and cytoskeletal integrity, and the cell cycle and proliferation. We have recently described the full repertoire of Klf1 binding sites in vivo by performing Klf1 ChIP-seq in primary erythroid tissue (E14.5 fetal liver). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11002

6 Samples

Download data: BAM

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL6102 GPL9115

20 Samples

Download data: BED

(Submitter supplied) Identification of cell-type specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

8 Samples

Download data: BED

(Submitter supplied) Identification of cell-type specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6102

12 Samples

Download data: TXT

(Submitter supplied) Total RNA was analyzed from either uninduced or β-estradiol treated G1E-ER-GATA cells to determine changes in gene expression upon induction of erythroid maturation (treated).

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6103

8 Samples

Download data: TXT

(Submitter supplied) GATA factors interact with simple DNA motifs (WGATAR) to regulate critical processes, including hematopoiesis, but very few WGATAR motifs are occupied in genomes. Given the rudimentary knowledge of mechanisms underlying this restriction, and how GATA factors establish genetic networks, we used ChIP-seq to define GATA-1 and GATA-2 occupancy genome-wide in erythroid cells. Coupled with genetic complementation analysis and transcriptional profiling, these studies revealed a rich collection of targets containing a characteristic binding motif of greater complexity than WGATAR. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

3 Samples

Download data: BED, TXT

(Submitter supplied) GATA factors interact with simple DNA motifs (WGATAR) to regulate critical processes, including hematopoiesis, but very few WGATAR motifs are occupied in genomes. Given the rudimentary knowledge of mechanisms underlying this restriction, and how GATA factors establish genetic networks, we used ChIP-seq to define GATA-1 and GATA-2 occupancy genome-wide in erythroid cells. Coupled with genetic complementation analysis and transcriptional profiling, these studies revealed a rich collection of targets containing a characteristic binding motif of greater complexity than WGATAR. more...

Organism:

Homo sapiens; Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by array

Platforms:

GPL6103 GPL9115

11 Samples

Download data: BED, TXT

(Submitter supplied) PU.1 is a key transcription factor for macrophage differentiation. Novel PU.1 target genes were identified by mRNA profiling of PU.1-deficient progenitor cells (PUER) before and after PU.1 activation. We used two different types of Affymetrix DNA-microarrays (430 2.0 arrays and ST 1.0 exon arrays) to characterize the global PU.1-regulated transcriptional program underlying the early processes of macrophage differentiation. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platforms:

GPL1261 GPL6096

12 Samples

Download data: CEL

(Submitter supplied) Interplays among lineage specific nuclear proteins, chromatin modifying enzymes and the basal transcription machinery govern cellular differentiation, but their dynamics of actions and coordination with transcriptional control are not fully understood. Alterations in chromatin structure appear to establish a permissive state for gene activation at some loci but they play an integral role in activation at other loci. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL9250 GPL11002 GPL13112

33 Samples

Download data: TXT

(Submitter supplied) We used ChIP-Seq to map Ldb1, Scl and Gata1 binding sites in mouse total bone marrow cells. Together with functional studies comparing gene expression in Murine Erythroleukemia (MEL) cells expressing Ldb1 shRNA or control shRNA and bioinformatics analysis, we systematically determined the transcriptional program controlled by Ldb1 complexes in erythropoiesis. This represents the ChIP-Seq component of the study only

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9185

4 Samples

Download data: BED, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL4134

4 Samples

Download data: TXT

(Submitter supplied) We used microarrays to examine what genes could be regurated by LMO2 in erythroid cells.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL4134

2 Samples

Download data: TXT

(Submitter supplied) We used microarrays to examine what genes could be regulated by ETO2 in erythroid cells.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL4134

2 Samples

Download data: TXT

(Submitter supplied) Erythropoiesis is regulated at multiple levels to ensure the proper generation of mature red cells under multiple physiological conditions. To probe the contribution of long non-coding RNAs (lncRNAs) to this process, we examined >1 billion RNA-Seq reads of polyadenylated and nonpolyadenylated RNA from differentiating mouse fetal liver red blood cells, and identified 655 lncRNA genes including not only intergenic, antisense and intronic but also pseudogene and enhancer loci. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13112

4 Samples

Download data: BW