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Links from GEO DataSets

Items: 20

1.

Transcriptional heterogeneity and lineage commitment in myeloid progenitors [ChIP-seq]

(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
Series
Accession:
GSE72858
ID:
200072858
2.

Transcriptional heterogeneity and lineage commitment in myeloid progenitors

(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
Series
Accession:
GSE72859
ID:
200072859
3.

Transcriptional heterogeneity and lineage commitment in myeloid progenitors [single cell RNA-seq]

(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
Series
Accession:
GSE72857
ID:
200072857
4.

Single-cell RNA sequencing reveals developmental heterogeneity among early lymphoid progenitors

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
377 Samples
Download data
Series
Accession:
GSE102456
ID:
200102456
5.

Single-cell RNA sequencing of EPLM subpopulations (152 Ly6D+ and 213 TN)

(Submitter supplied) Single-cell RNA-sequencing has emerged as a powerful technology to assess heterogeneity within defined cell populations. Here, we comprehensively study the heterogeneity of a previously described B220+CD117intCD19-NK1.1- uncommitted hematopoietic progenitor with combined lymphoid and myeloid potential (EPLM). Using staining for surface markers together with functional assays, we describe four subpopulations of this progenitor with distinct lineage developmental potentials. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
365 Samples
Download data: TSV
Series
Accession:
GSE102455
ID:
200102455
6.

Population RNA sequencing of Ly6D+ and TN EPLM subpopulations as well as Pro-B cells

(Submitter supplied) Nowadays, there is an active debate regarding the heterogeneity of apparently phenotypically homogenous progenitors having different multiple lineage potentials. It has been previously characterized a B220+ CD117int CD19- NK1.1- uncommitted and multipotent haematopoietic progenitor with combined lymphoid and myeloid developmental potential, the so called Early Progenitor with Lymphoid and Myeloid potential (EPLM). more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
12 Samples
Download data: TSV
Series
Accession:
GSE102454
ID:
200102454
7.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [bulk RNA-Seq]

(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
Series
Accession:
GSE96811
ID:
200096811
8.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation

(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
Series
Accession:
GSE96772
ID:
200096772
9.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [bulk ATAC-Seq]

(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
Series
Accession:
GSE96771
ID:
200096771
10.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [scATAC-Seq]

(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
Series
Accession:
GSE96769
ID:
200096769
11.

Transcriptional plasticity, priming and commitment in hematopoietic lineages

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Other
Platform:
GPL19057
393 Samples
Download data: TXT
Series
Accession:
GSE113495
ID:
200113495
12.

Transcriptional plasticity, priming and commitment in hematopoietic lineages [CRISP-seq]

(Submitter supplied) Differentiation of adult hematopoietic stem cells (HSC) constantly produces the cell types of the blood and immune system. The dynamics of this process and the hierarchy of downstream oligopotent stem cell differentiation remain controversial. Here we dissect hematopoietic progenitor populations in a minimally biased fashion using extensive single cell sampling from murine bone marrow. We characterize the HSC population, define its quiescent transcriptional program and validate it with label retaining assays and cytokine mediated stimulations. more...
Organism:
Mus musculus
Type:
Other
Platform:
GPL19057
67 Samples
Download data: TXT
Series
Accession:
GSE113494
ID:
200113494
13.

Transcriptional plasticity, priming and commitment in hematopoietic lineages [RNA-seq]

(Submitter supplied) Differentiation of adult hematopoietic stem cells (HSC) constantly produces the cell types of the blood and immune system. The dynamics of this process and the hierarchy of downstream oligopotent stem cell differentiation remain controversial. Here we dissect hematopoietic progenitor populations in a minimally biased fashion using extensive single cell sampling from murine bone marrow. We characterize the HSC population, define its quiescent transcriptional program and validate it with label retaining assays and cytokine mediated stimulations. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
326 Samples
Download data: TXT
Series
Accession:
GSE92575
ID:
200092575
14.

A Bach2-Cebp gene regulatory network for the commitment of multipotent hematopoietic progenitors [ChIP-seq]

(Submitter supplied) The commitment of hematopoietic stem cells and multipotent progenitors (MPPs) can be tuned to reprogram their differentiation capacity to be biased toward myeloid cells in response to an infection. Bach2, which inhibits myeloid differentiation in common lymphoid progenitors, repressed a cohort of genes of myeloid function (myeloid genes) and activated those for lymphoid function (lymphoid genes) in MPPs. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: BW
Series
Accession:
GSE87503
ID:
200087503
15.

A Bach2-Cebp gene regulatory network for the commitment of multipotent hematopoietic progenitors [expression]

(Submitter supplied) Hematopoietic stem cells and multipotent progenitors (MPPs) commitment can be tuned in response to an infection so that their differentiation is biased toward myeloid cells. Here we find that Bach2, which inhibits myeloid differentiation in common lymphoid progenitors, represses a cohort of myeloid genes and activates those linked to lymphoid function. Bach2 repressed both Cebpb and its target Csf1r, encoding C/EBPβ and macrophage colony-stimulating factor receptor (M-CSFr), respectively, whereas C/EBPβ repressed Bach2 and activated Csf1r. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL13912
12 Samples
Download data: TXT
Series
Accession:
GSE80954
ID:
200080954
16.

Single cell transcriptome datasets of murine B cell commitment

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, single cell transcriptomic analysis at pre- and post-commitment was performed using the culture system. In addition, we also performed single cell RNA-seq analysis of B cell precursor populations (LMPP, CLP and pro-B cells) in murine bone marrow.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
5 Samples
Download data: MTX, TSV
Series
Accession:
GSE107527
ID:
200107527
17.

Temporal transcriptomic and epigenomic profiles of transition from hematopoietic multipotent progenitors to B committed cells

(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:
GPL18480
68 Samples
Download data: WIG
Series
Accession:
GSE106795
ID:
200106795
18.

Temporal epigenomic profiles of transition from hematopoietic multipotent progenitors to B committed cells [ChIP-seq]

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, epigenomic analysis at multiple time points was performed using the culture system.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18480
24 Samples
Download data: WIG
Series
Accession:
GSE106794
ID:
200106794
19.

Temporal transcriptomic profiles of transition from hematopoietic multipotent progenitors to B committed cells [RNA-seq]

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, transcriptome analysis at multiple time points was performed using the culture system.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18480
44 Samples
Download data: TXT
Series
Accession:
GSE106793
ID:
200106793
20.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Gfi1-/- Irf8-/- GMP)

(Submitter supplied) Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
47 Samples
Download data: TXT
Series
Accession:
GSE78907
ID:
200078907
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Supplemental Content

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