Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiling of mouse eosinophils and myeloid progenitors

ABSTRACT: We have sequenced using single end and paired end sequencing GMPs, CMPs, EoPs, SiglecF+IL5ra- GMPs and eosinophils to be able to characterise this new subset of GMPs and to be able to give it some context within a lineage trajectory analysis

ORGANISM(S): Mus musculus

PROVIDER: GSE107495 | GEO | 2018/12/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from small intestinal eosinophils and dendritic cells

Project description:Under steady-state conditions, eosinophils are abundantly found in the small intestinal lamina propria, but their physiological function is largely unexplored. We performed a global gene expression analysis to examine which genes are highly expressed by small intestinal eosinophils (CD11b+CD11c(int)MHCII-SiglecF+) compared with dendritic cells (CD11c+MHCII+).

2016-02-04 | GSE77545 | GEO

CD62L expression level determines the cell fate of myeloid progenitors in mice and humans

Project description:Through gene expression analysis of CMPs and GMPs at single cell levels, we identified CD62L as a marker to reveal the heterogeneity of CMPs and GMPs. We confirmed that the CD62L-low CMPs represent ‘bona fide’ CMPs, whereas CD62L-high CMPs are mostly restricted to GMP potentials both in mice and humans. In addition, we identified CD62L-neg GMPs as the most immature subsets in GMPs and Ly6c+CD62L-low and Ly6c+CD62L-high GMPs are skewed to neutrophil and monocyte differentiation, respectively. We performed gene expression profiling of CD62L-low CMPs, CD62L-high CMPs, CD62L-neg GMPs, CD62L-low GMPs, CD62L-high GMPs, bulk CMPs, and bulk GMPs.

2021-02-04 | GSE166065 | GEO

Next Generation Sequencing analysis to compare expression patterns of myeloid progenitors in healthy donors and MDS patients

Project description:Transcriptional changes occurring in the CMPs and GMPs of untreated "CMP pattern" and "GMP pattern" MDS patients were compared with the transcriptional profile of CMPs and GMPs from healthy donors

2022-01-02 | GSE178840 | GEO

AML patient granulocyte macrophage progenitor (GMP) cells [human]

Project description:AML patient GMPs or CMPs were FACS sorted as described in material and methods from supplementary data (Estruch M et al 2020)

2020-11-09 | GSE150159 | GEO

scRNAseq reveals heterogeneity among mouse bone marrow Ly6Chi monocytes produced by GMPs and MDPs

Project description:Granulocyte-monocyte progenitors (GMPs) and monocyte-dendritic cell progenitors (MDPs) produce monocytes during homeostasis and in response to increased demand during infection. Both progenitor populations are thought to derive from common myeloid progenitors (CMPs), and a hierarchical relationship (CMP-GMP-MDP-monocyte) is presumed to underlie monocyte differentiation. Here, however, we demonstrate that mouse MDPs arose from CMPs independently of GMPs, and that GMPs and MDPs produced monocytes via similar, but distinct, monocyte-committed progenitors. GMPs and MDPs yielded classical (Ly6Chi) monocytes with gene expression signatures that were defined by their origins and impacted their function. GMPs produced a subset of “neutrophil-like” monocytes, whereas MDPs gave rise to a subset of monocytes that yielded monocyte-derived dendritic cells. GMPs and MDPs were also independently mobilized to produce specific combinations of myeloid cell types following the injection of microbial components. Thus, the balance of GMP and MDP differentiation shapes the myeloid cell repertoire during homeostasis and following infection.

2017-11-13 | GSE104478 | GEO

RNA-seq of mouse myeloid progenitors reveals two independent pathways for monocyte production via GMPs and MDPs

2017-11-21 | GSE88982 | GEO

Metastasis-entrained eosinophils enhance lymphocyte-mediated anti-tumor immunity

Project description:The recognition of the immune system as a key component of the tumor microenvironment (TME) led to promising therapeutics. Since such therapies benefit only subsets of patients, understanding the activities of immune cells in the TME is required. Eosinophils are an integral part of the TME especially in mucosal tumors. Nonetheless, their role in the TME and the environmental cues that direct their activities are largely unknown, especially in metastasis. We report that breast cancer-driven lung metastasis is characterized by resident and recruited eosinophils. Eosinophil recruitment to the metastatic lung was regulated by G protein coupled receptor signaling but independent of CCR3. Functionally, eosinophils promoted lymphocyte-mediated anti tumor immunity. Transcriptome and proteomic analyses identified the TME rather than intrinsic differences between eosinophil subsets as a key instructing factor directing anti tumorigenic eosinophil activities. Specifically, TNF-a/IFN-g-activated eosinophils facilitated CD4+ and CD8+ T cell infiltration and promoted anti-tumor immunity. Collectively, we identify a mechanism by which the TME entrains eosinophils to adopt anti-tumorigenic properties, which may lead to the development of eosinophil-targeted therapeutics.

2021-07-27 | PXD027596 | Pride

Cell of origin in AML: Susceptibility to MN1-induced transformation is regulated by the MEIS1/abdB-like HOX protein complex

Project description:The molecular mechanism defining susceptibility of normal cells to oncogenic transformation may be a valuable therapeutic target. We characterized the cell of origin and its critical pathways in MN1 leukemias. Common myeloid (CMP), but not granulocyte-macrophage progenitors (CMP) could be transformed by constitutively overexpressed MN1. Complementation studies of CMP-signature genes in GMPs demonstrated that leukemogenicity of MN1 required the MEIS1/abdB-like HOX protein complex. Colocalization studies by ChIP-seq identified common chromatin targets of MN1 and MEIS1 that were associated with open chromatin and transcriptional activation. Transcriptional repression of MEIS1 target sites in established MN1 leukemias had antileukemic activity. As MN1 relies on but can not activate expression of MEIS1/abdB-like HOX proteins, transcriptional activity of these genes determines which cell is the cell of origin in MN1 leukemia. We have showed at the single cell level that CMPs, but not GMPs, are susceptible to MN1-induced transformation. To identify transcriptional differences between CMPs and GMPs that may explain this difference in susceptibilities to MN1 transformation we produced gene expression profiles (two biological replicates in each experimental arm) of bone marrow cells from MN1 leukemic mice and mature myeloid bone marrow cells (Gr1+/CD11b+) from healthy mice and compared those to already published gene expression profiles of CMPs and GMPs (Krivtsov, A.V., et al. (2006). Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9. Nature 442, 818-822).

2011-05-19 | E-GEOD-22923 | biostudies-arrayexpress

AML patient granulocyte macrophage progenitor (GMP) cells

Project description:AML patient GMPs or CMPs were FACS sorted as described in Supplementary Information (Reckzeh, K et al. 2020) TET2 deficiency cooperates with CBFB-MYH11 to induce acute myeloid leukemia and represents an early leukemogenic event. Reckzeh, K et al

2022-03-28 | GSE161391 | GEO

Tissue adaptaion of intestinal eosinophils in mice

Project description:To determine how eosinophils adapt to the intestinal environment, eosinophils were sorted from the bone marrow and small intestine and compared by RNA sequencing. We show here that intestinal eosinophils were specifically adapted to their environment and underwent substantial transcriptomic changes. Intestinal eosinophils upregulated genes relating to the immune response and cell-cell communication, extracellular matrix components and metalloproteases, and the aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor with broad functions in intestinal homeostasis.

2022-02-25 | GSE185070 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data