Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of Macrophage and Leukemia Stem Cell Transcriptomes in Mouse Iron-overload MLL-AF9 Acute Myeloid Leukemia

ABSTRACT: The goals of this study aim to reveal functional and phenotypic diversity of Macrophage and Leukemia Stem Cell in response to the Iron-overloaded microenvironmental cues in mouse acute myeloid leukemia

ORGANISM(S): Mus musculus

PROVIDER: GSE226727 | GEO | 2025/09/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Bone Marrow Macrophages and Splenic Macrophages Transcriptomes in Mouse MLL-AF9 AML Leukemia

2018-04-16 | GSE72803 | GEO

High-throughput Sequencing Facilitates Quantitative Analysis of Bone Marrow Macrophages and Spleenic Macrophages MicroRNA Expression in mouse MLL-AF9 acute myelogenous leukemia

Project description:The goals of this study aim to reveal microRNA expression profiles of leukemia-associated macrophages and regulatory mechanism in response to the microenvironmental cues in mouse MLL-AF9 acute myelogenous leukemia

2023-11-11 | GSE161292 | GEO

Next-generation sequencing facilitates quantitative analysis of DNAM-1+ and DNAM-1- natural killer (NK) cells transcriptomes in mouse MLL-AF9 AML leukemia

Project description:The goals of this study aim to reveal functional and phenotypic diversity of DNAM-1+ and DNAM-1- natural killer (NK) cells in response to the microenvironmental cues in mouse acute myeloid leukemia.

2018-06-14 | GSE101421 | GEO

Meis1 maintains stemness signature in MLL-AF9 leukemia.

Project description: Not available

| S-EPMC2867272 | biostudies-literature

Next Generation Sequencing Facilitates Quantitative Analysis of Macrophage and Leukemia Stem Cell Transcriptomes in Mouse Iron-overload MLL-AF9 Acute Myeloid Leukemia

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Macrophage and Leukemia Stem Cell Transcriptomes in Mouse Iron-overload MLL-AF9 Acute Myeloid Leukemia

| PRJNA941290 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Bone Marrow Macrophages and Spleenic Macrophages Transcriptomes in mouse T cell acute lymphoblastic leukemia

Project description:The goals of this study aim to reveal functional and phenotypic diversity of leukemia-associated macrophages in response to the microenvironmental cues in mouse T cell acute lymphoblastic leukemia Compare Transcriptomes of macrophages in T cell acute leukemia which are suggested as leukemia-associated macrophages (LAMs) with homeostasis

2015-03-01 | E-GEOD-63751 | biostudies-arrayexpress

Integrative Single-Cell Analysis Reveals Iron Overload-Induced Senescence and Metabolic Reprogramming in Ovarian Endometriosis-Associated Infertility

Project description:Endometriosis, particularly ovarian endometriosis (OE), significantly impacts fertility by often leading to decreased oocyte quality and impaired ovarian function. Iron overload has been identified as a critical factor driving disease progression in endometriosis lesions. This study aims to investigate the effects of iron overload on follicular function in OE-associated infertility (OEI). Using single-cell sequencing technologies, we first identified oocyte dysfunction in OEI patients and established a single-cell atlas of iron overload in follicular fluid prior to ovulation in OEI patients. This atlas revealed dynamic changes in iron metabolism and identified iron-induced senescence phenotypes. We also examined the differentiation trajectories of granulosa cells and the relationship between macrophage M1/M2 phenotypes and iron metabolism. Additionally, we utilized Stereo-seq (spatiotemporal enhanced resolution omics-sequencing) to construct a spatial transcriptomic map of iron-overloaded mouse ovaries, uncovering various enriched senescence phenotypes. Finally, we extended our findings by exploring the dynamics of iron metabolism imbalance in aging human ovaries. Overall, these findings enhance our understanding of iron overload-related cellular interactions and molecular characteristics in ovarian pathology, providing new therapeutic targets for improving oocyte quality in OEI patients.

2025-08-27 | GSE276193 | GEO

Reprogramming of MLL-AF9 leukemia cells into pluripotent stem cells.

Project description:The 'Yamanaka factors' (Oct4, Sox2, Klf4 and c-Myc) are able to generate induced pluripotent stem (iPS) cells from different cell types. However, to what degree primary malignant cells can be reprogrammed into a pluripotent state has not been vigorously assessed. We established an acute myeloid leukemia (AML) model by overexpressing the human mixed-lineage leukemia-AF9 (MLL-AF9) fusion gene in mouse hematopoietic cells that carry Yamanaka factors under the control of doxycycline (Dox). On addition of Dox to the culture, the transplantable leukemia cells were efficiently converted into iPS cells that could form teratomas and produce chimeras. Interestingly, most chimeric mice spontaneously developed the same type of AML. Moreover, both iPS reprogramming and leukemia reinitiation paths could descend from the same leukemia-initiating cell. RNA-seq analysis showed reversible global gene expression patterns between these interchangeable leukemia and iPS cells on activation or reactivation of MLL-AF9, suggesting a sufficient epigenetic force in driving the leukemogenic process. This study represents an important step for further defining the potential interplay between oncogenic molecules and reprogramming factors during MLL leukemogenesis. More importantly, our reprogramming approach may be expanded to characterize a range of hematopoietic malignancies in order to develop new strategies for clinical diagnosis and treatment.

| S-EPMC4017259 | biostudies-literature

Polycomb repressive complex 2 is required for MLL-AF9 leukemia.

Project description:A growing body of data suggests the importance of epigenetic mechanisms in cancer. Polycomb repressive complex 2 (PRC2) has been implicated in self-renewal and cancer progression, and its components are overexpressed in many cancers. However, its role in cancer development and progression remains unclear. We used conditional alleles for the PRC2 components enhancer of zeste 2 (Ezh2) and embryonic ectoderm development (Eed) to characterize the role of PRC2 function in leukemia development and progression. Compared with wild-type leukemia, Ezh2-null MLL-AF9-mediated acute myeloid leukemia (AML) failed to accelerate upon secondary transplantation. However, Ezh2-null leukemias maintained self-renewal up to the third round of transplantation, indicating that Ezh2 is not strictly required for MLL-AF9 AML, but plays a role in leukemia progression. Genome-wide analyses of PRC2-mediated trimethylation of histone 3 demonstrated locus-specific persistence of H3K27me3 despite inactivation of Ezh2, suggesting partial compensation by Ezh1. In contrast, inactivation of the essential PRC2 gene, Eed, led to complete ablation of PRC2 function, which was incompatible with leukemia growth. Gene expression array analyses indicated more profound gene expression changes in Eed-null compared with Ezh2-null leukemic cells, including down-regulation of Myc target genes and up-regulation of PRC2 targets. Manipulating PRC2 function may be of therapeutic benefit in AML.

| S-EPMC3324004 | biostudies-literature

Iron regulation in Vibrio vulnificus CMCP6

Project description:Vibrio vulnificus multiply rapidly in host tissues under iron overloaded conditions. To understand the effects of iron in the physiology of this pathogen we performed a genome-wide transcriptional analysis of this bacterium growing under three different iron concentrations. V.vulnificus CMCP6 cells were grown under three different iron concentrations (TSBS + EDDA 50uM, TSBS and TSBS + FAC 250 ug/ml) and samples taken at log phase. Keywords: Response to the iron concentration of the media

2008-08-07 | GSE10633 | 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