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Links from GEO DataSets

Items: 20

1.

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment. [scRNA-Seq]

(Submitter supplied) While the roles of parenchymal microglia in brain homeostasis and disease are fairly clear, other brain-resident myeloid cells remain less understood. By dissecting border regions and combining single-cell RNA sequencing with high-dimensional cytometry, bulk RNA-sequencing, fate-mapping and microscopy, we reveal the diversity of non-parenchymal brain macrophages. Border-associated macrophages (BAMs) residing in the dura mater, subdural meninges and choroid plexus consisted of distinct subsets with tissue-specific transcriptional signatures, and their cellular composition changed during postnatal development. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
15 Samples
Download data: TXT
Series
Accession:
GSE128854
ID:
200128854
2.

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL19057 GPL21103
35 Samples
Download data: TXT
Series
Accession:
GSE128855
ID:
200128855
3.

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment. [bulk RNA-Seq]

(Submitter supplied) While the roles of parenchymal microglia in brain homeostasis and disease are fairly clear, other brain-resident myeloid cells remain less understood. By dissecting border regions and combining single-cell RNA sequencing with high-dimensional cytometry, bulk RNA-sequencing, fate-mapping and microscopy, we reveal the diversity of non-parenchymal brain macrophages. Border-associated macrophages (BAMs) residing in the dura mater, subdural meninges and choroid plexus consisted of distinct subsets with tissue-specific transcriptional signatures, and their cellular composition changed during postnatal development. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
20 Samples
Download data: TXT
Series
Accession:
GSE128781
ID:
200128781
4.

Early fate defines microglia and non-parenchymal brain macrophage development

(Submitter supplied) Central nervous system (CNS) macrophages comprise parenchymal microglia and border-associated macrophages (BAMs) residing in the meninges, the choroid plexus and the perivascular spaces. With the exception of choroid plexus macrophages, most CNS macrophages emerge during primitive hematopoiesis in the extra-embryonic yolk sac. What remains unknown however, is whether microglia and BAMs share a developmental program or arise from separate predefined lineages. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
39 Samples
Download data: TXT
Series
Accession:
GSE146928
ID:
200146928
5.

Early fate defines microglia and non-parenchymal brain macrophage development

(Submitter supplied) Central nervous system (CNS) macrophages comprise parenchymal microglia and border-associated macrophages (BAMs) residing in the meninges, the choroid plexus and the perivascular spaces. With the exception of choroid plexus macrophages, most CNS macrophages emerge during primitive hematopoiesis in the extra-embryonic yolk sac. What remains unknown however, is whether microglia and BAMs share a developmental program or arise from separate predefined lineages. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
126 Samples
Download data: TXT
Series
Accession:
GSE146926
ID:
200146926
6.

A Cre-deleter specific for embryo-derived brain macrophages reveals distinct features of microglia and border macrophages

(Submitter supplied) Genetic tools to target microglia specifically and efficiently from the early stages of the embryonic development are missing. Here we present Crybb1-Cre, a new constitutive Cre deleter producing a nearly complete recombination of embryonic brain macrophages (microglia and embryonic BAMs) by the perinatal period, with limited recombination leakage in peripheral myeloid cells. Using this tool, in combination with Flt3-Cre lineage tracer, scRNA-seq analysis and confocal imaging we were able to accurately fate-map embryonic derived versus monocyte derived BAMs in the mouse cortex and identified specific surface markers to resolve either population. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
25 Samples
Download data: H5, TSV
Series
Accession:
GSE213020
ID:
200213020
7.

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
8.

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
9.

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
10.

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
11.

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
12.

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
13.

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
14.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Gfi1-/- 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
80 Samples
Download data: TXT
Series
Accession:
GSE70239
ID:
200070239
15.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Gfi1-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
39 Samples
Download data: TXT
Series
Accession:
GSE70238
ID:
200070238
16.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (ChIP-seq)

(Submitter supplied) Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematopoietic development
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
5 Samples
Download data: TSV, TXT
Series
Accession:
GSE70237
ID:
200070237
17.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq from CMP)

(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:
GSE70236
ID:
200070236
18.

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

(Submitter supplied) Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematopoietic development
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
15 Samples
Download data: TXT
Series
Accession:
GSE70235
ID:
200070235
19.

Effects of depletion of Irf8 and Mafb on gene expression of adult microglia and CNS border associtated macrophages (CAMs)

(Submitter supplied) The central nervous system (CNS) includes anatomically distinct macrophage populations including parenchyma microglia and CNS-associated macrophages (CAMs). The stepwise development and specification of macrophage populations in the CNS rely on several key transcription factors, such as IRF8 and MAFB. In order to better understand the roles of IRF8 and MAFB for phenotypic determination of homeostatic microglia and CAMs, we performed quantitative bulk RNA sequencing of microglia and CAMs isolated from mouse models with myeloid cell-specific deletion of IRF8 or MAFB transcription factors. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
44 Samples
Download data: TSV
Series
Accession:
GSE269745
ID:
200269745
20.

Transcriptome-based profiling reveals a macrophage pedigree and identifies Irf8 as pivotal for macrophage homeostasis and function

(Submitter supplied) Recent studies have shown that tissue macrophages (MF) arise from embryonic progenitors of the yolk sac (YS) and fetal liver and colonize the tissues before birth. Further studies have proposed that developmentally distinct tissue MF can be identified based on the differential expression of F4/80 and CD11b, but whether a characteristic transcriptional profile exists is largely unknown. Here, we established an inducible fate mapping system that facilitated the identification of A2 progenitors of the YS as source of F4/80hi but not CD11bhi MF. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL17400
81 Samples
Download data: CEL, CHP
Series
Accession:
GSE73125
ID:
200073125
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