GEO DataSets

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

13 Samples

Download data: TXT

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

8 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

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

Platform:

GPL18573

2805 Samples

Download data

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

2784 Samples

Download data: BED, TXT

(Submitter supplied) Conditional deletion of Geminin from the entire hematopoietic compartment using Vav1:iCre mice led to defective hematopoiesis/dyserythropoiesis in E15.5 mouse embryos. The present data set includes data from lineage-negative cells isolated from homogenized livers that were dissected from E15.5.dpc embryos. The two conditions compared were wild-type versus Geminin-KO Lin- cells. The cells were collected from littermates.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

6 Samples

Download data: CEL

(Submitter supplied) Epigenetic mechanisms regulate the multilineage differentiation capacity of hematopoietic stem cells (HSCs) into a variety of blood and immune cells. Our recent work revealed evidence of multilineage gene priming in HSCs, where open cis-regulatory elements (CREs) exclusively shared between HSCs and unipotent lineage cells were enriched for DNA binding motifs of known lineage-specific transcription factors. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL17021

14 Samples

Download data: TXT

(Submitter supplied) In order to get a better understanding of the gene signature of aneuploid cells, we applied single cell RNA sequencing on human bone marrow cells from healthy donors and patients with bone marrow failure and cytogenetic abnormalities. We chacterized normal hemaopoiesis as binary differentiation and identified aneuploid cells from patient samples.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL21290 GPL16791

1202 Samples

Download data: CSV, GTF

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

Organism:

Mus musculus

Type:

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

Platform:

GPL19057

59 Samples

Download data: BIGWIG

(Submitter supplied) Within the bone marrow, hematopoietic stem cells differentiate and give rise to diverse blood cell types and functions. Currently, hematopoietic progenitors are defined using surface markers combined with functional assays that are not directly linked with the in vivo potential or gene regulatory mechanisms. Here we comprehensively identify myeloid progenitor subpopulations by transcriptional sorting of single cells from the bone marrow. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL19057

5 Samples

Download data: BIGWIG

(Submitter supplied) Within the bone marrow, hematopoietic stem cells differentiate and give rise to diverse blood cell types and functions. Currently, hematopoietic progenitors are defined using surface markers combined with functional assays that are not directly linked with the in vivo potential or gene regulatory mechanisms. Here we comprehensively identify myeloid progenitor subpopulations by transcriptional sorting of single cells from the bone marrow. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19057

54 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

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

Platforms:

GPL18573 GPL11154 GPL16791

787 Samples

Download data

(Submitter supplied) A single hematopoietic stem cell can give rise to all blood cells with remarkable fidelity. Here, we define the chromatin accessibility and transcriptional landscape controlling this process in thirteen primary cell types that traverse the hematopoietic hierarchy. Exploiting the finding that enhancer landscapes better reflect cell identity than mRNA levels, we enable "enhancer cytometry" for accurate enumeration of pure cell types from complex populations. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL16791 GPL18573

130 Samples

Download data: TXT

(Submitter supplied) A single hematopoietic stem cell can give rise to all blood cells with remarkable fidelity. Here, we define the chromatin accessibility and transcriptional landscape controlling this process in thirteen primary cell types that traverse the hematopoietic hierarchy. Exploiting the finding that enhancer landscapes better reflect cell identity than mRNA levels, we enable "enhancer cytometry" for accurate enumeration of pure cell types from complex populations. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

576 Samples

Download data: TXT

(Submitter supplied) A single hematopoietic stem cell can give rise to all blood cells with remarkable fidelity. Here, we define the chromatin accessibility and transcriptional landscape controlling this process in thirteen primary cell types that traverse the hematopoietic hierarchy. Exploiting the finding that enhancer landscapes better reflect cell identity than mRNA levels, we enable "enhancer cytometry" for accurate enumeration of pure cell types from complex populations. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18573 GPL11154

81 Samples

Download data: TXT

(Submitter supplied) Lineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these interactions dictate lineage commitment remains poorly understood. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

36 Samples

Download data: BW, STARCH

(Submitter supplied) Lineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these interactions dictate lineage commitment remains poorly understood. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

11 Samples

Download data: MTX, TSV

(Submitter supplied) Lineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these interactions dictate lineage commitment remains poorly understood. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

69 Samples

Download data: FPKM_TRACKING

(Submitter supplied) Lineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these interactions dictate lineage commitment remains poorly understood. more...

Organism:

Homo sapiens

Type:

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

Platforms:

GPL18573 GPL20301

116 Samples

Download data: BW, FPKM_TRACKING, MTX, STARCH, TSV

(Submitter supplied) Formation of the blood from self-renewing hematopoietic stem cells to terminal lineages necessarily involves epigenomic modifications of the genome to control regulator and signature gene expression. By analysing the global expression profiles of hematopoietic stem cells (HSCs), in vivo differentiated CD4+ T cells and CD19+ B cells as well as in vitro differentiated erythrocyte precursor cells, we identified hundreds of transcripts showing type-specific expression in these cell types. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

13 Samples

Download data: BED, TXT

(Submitter supplied) Formation of the blood from self-renewing hematopoietic stem cells to terminal lineages necessarily involves epigenomic modifications of the genome to control regulator and signature gene expression. By analysing the global expression profiles of hematopoietic stem cells (HSCs), in vivo differentiated CD4+ T cells and CD19+ B cells as well as in vitro differentiated erythrocyte precursor cells, we identified hundreds of transcripts showing type-specific expression in these cell types. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL9115

1 Sample

Download data: BED, RPKM