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Links from GEO DataSets

Items: 20

1.

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
2.

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
3.

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
4.

Expression profile of hematopoietic stem and progenitor cells (HSPCs) after conditional deletion of the histone 3 lysine 4 (H3K4) methyltransferase Setd1b in mice

(Submitter supplied) Loss of Setd1b in adult mice using both ubiquitous and hematopoietic-specific deletion strategies caused lethality arising from severe hematopoietic defects. To identify genes regulated by Setd1b in HSPCs we performed RNA-seq analysis of the LSK (Lin-, Sca+, Kit+) compartment in the bone marrow. Mice carrying heterozygous and homozygous conditional Setd1b alleles and Rosa26-Cre-ERT2 were treated with Tamoxifen for 6 days (4 days gavage - 3 days pause - 2 days gavage). more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: CSV
Series
Accession:
GSE97976
ID:
200097976
5.

Single-cell indexed RNA-Seq of human hematopoietic stem and progenitors

(Submitter supplied) To characterize early human hematopoiesis on a single-cell level we developed an approach termed index-omics, which combines flow-cytometric, single-cell transcriptomic and single-cell lineage fate data. Healthy human bone marrow was labeled with a panel of up to 11 FACS surface markers commonly used to identify human hematopoietic stem and progenitor cells (HSPCs). Lin-CD34+38+ progenitors and Lin-CD34+CD38- stem cell enriched HSPCs were individually sorted, their surface marker fluorescence intensities recorded, and subjected to single-cell RNAseq or single-cell ex vivo cultures.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
2414 Samples
Download data: CSV
Series
Accession:
GSE75478
ID:
200075478
6.

Clonal analysis of lineage fate in unperturbed hematopoiesis

(Submitter supplied) The classical tenet of hematopoiesis posits well-accepted lineage trees that arise from progressively restricted oligopotent and unipotent progenitor populations. However, because fate in hematopoiesis has mostly been studied in the context of transplantation, it is unclear whether these lineage branches and such proposed oligopotent progenitors exist in an unperturbed hematopoietic system. Here, we utilize endogenous transposon tagging to trace the fate of thousands of progenitors and stem cells over time to re-evaluate these dogmas. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
5 Samples
Download data: CSV
Series
Accession:
GSE90742
ID:
200090742
7.

DNA methylation data from mouse hematopoietic progenitors

(Submitter supplied) Genome-wide DNA methylation was studied to determine the methylome map of lymphoid and myeoloid commitment from hematopoietic progenitors We used custom Nimblegen microarrays to determine the genome-wide DNA methylation in FACs purified mouse hematopoietic progeniors
Organism:
Mus musculus
Type:
Methylation profiling by genome tiling array
Platforms:
GPL10680 GPL10683
35 Samples
Download data: XYS
Series
Accession:
GSE23110
ID:
200023110
8.

A comprehensive methylome map of lineage commitment from hematopoietic progenitors

(Submitter supplied) Epigenetic modifications must underlie lineage-specific differentiation since terminally differentiated cells express tissue-specific genes, but their DNA sequence is unchanged. Hematopoiesis provides a well-defined model of progressive differentiation in which to study the role of epigenetic modifications in cell fate decisions. Multi-potent progenitors (MPPs) can differentiate into all blood cell lineages, while downstream progenitors commit to either myeloerythroid or lymphoid lineages. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
26 Samples
Download data: CEL
Series
Accession:
GSE20244
ID:
200020244
9.

Enhancer and transcription factor dynamics within the granulocytic-monocytic lineage reveal an early differentiation block in Cebpa null progenitors

(Submitter supplied) Myeloid cells of the granulocytic-monocytic (GM) lineage develop in a process orchestrated mainly by the transcription factors PU.1 and CEBPA, but how these factors collaborate on a global scale during GM-lineage differentiation remains uncharacterized. To address this question we have combined epigenetic profiling, transcription factor binding and gene expression analyses of successive stages of murine GM-lineage differentiation and show that PU.1 and CEBPA binds to GM enhancers with distinct kinetics. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL13112
77 Samples
Download data: BEDGRAPH, BW, TXT
Series
Accession:
GSE89767
ID:
200089767
10.

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
11.

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
12.

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
13.

Single Cell RNA sequencing analysis of human haemopoietic lympho-myeloid progenitor populations (LMPP, MLP and GMP)

(Submitter supplied) We performed single cell RNA sequencing of human haemopoietic lympho-myeloid progenitors with the aim to separate functionally and transcriptionally distinct progenitors within the heterogeneous GMP, LMPP and MLP populations. We performed RNA sequencing in a total of 415 single cells. From donors 1 (CB369) and 2 (CB431), 163/166 and 157/249 cells passed quality control.We further analysed the 320 single cells that passed quality control from two different donors (157 and 163 from each donor; 91 LMPP, 110 MLP and 119 GMP). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
420 Samples
Download data: TXT
Series
Accession:
GSE100618
ID:
200100618
14.

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
15.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies

(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:
GPL17021
680 Samples
Download data: TSV, TXT
Series
Accession:
GSE70245
ID:
200070245
16.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of bone marrow lineage-negative Sca1+ CD117+ cells)

(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
96 Samples
Download data: TXT
Series
Accession:
GSE70244
ID:
200070244
17.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of bone marrow lineage-negative CD117+ CD34+ cells)

(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
66 Samples
Download data: TXT
Series
Accession:
GSE70243
ID:
200070243
18.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Irf8 KO 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
63 Samples
Download data: TXT
Series
Accession:
GSE70242
ID:
200070242
19.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Irf8-GFP 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
37 Samples
Download data: TXT
Series
Accession:
GSE70241
ID:
200070241
20.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of 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
136 Samples
Download data: TXT
Series
Accession:
GSE70240
ID:
200070240
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