GEO series
Leukemic initiation in Jam-C-deficient HSPC reveals AP-1/TNF- gene expression signature as a biomarker for AML
GSE235693
Mus musculus
Expression profiling by high throughput sequencing
12 samples
2024/07/01
GPL21103
Summary
The leukemic stem cell score 17 (LSC-17) based on stemness gene expression signature is recognized as indicator of poor disease outcome in acute myeloid leukemia (AML). However, our understanding of the relationships between LSC and pre-leukemic cells is still incomplete. In particular, it is not known whether “niche-anchoring” of pre-leukemic cell affects disease evolution. To address this issue, we conditionally inactivated the adhesion molecule Jam-C expressed by haematopoietic stem cells (HSC) and LSC in an inducible iMLL-AF9-driven AML mouse model. Deletion of Jam-C in HSC before activation of the leukemia-initiating iMLL-AF9 fusion resulted in a shift from long term (LT-HSC) to short term-HSC (ST-HSC) expansion, suggesting that transcriptional programs of leukemic HSC were altered. RNA sequencing performed on leukemic HSC and GMP isolated from diseased mice revealed that genes upregulated in Jam-C-deficient animals belonged to Activation Protein-1 (AP-1) and TNF-/NFB signalling pathways. Using three publicly available datasets of AML gene expression, we further showed that human orthologs of dysregulated genes belonged to a gene regulon distinct from the LSC-17 signature. A prognosis 14-genes score from the AP-1/TNF-/NFB gene expression signature was established and called ATIC for “AP-1/TNF- initiating cell”. ATIC was independent of the LSC-17 score and improved the stratification of AML patients obtained with the LSC-17 score suggesting that the ATIC score reflected the presence of ST-HSC-initiating AML cells at diagnosis. Collectively we provide a novel tool for understanding AML disease heterogeneity through the identification of specific transcriptional programs for leukemic stem and progenitor cells.
Download
NCBI GEO page ↗
Paper (PMID 38954834) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE255837 Dysregulation of the Normal Wound Healing Cascade in Volumetric Muscle Loss Injury 30 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE306116 Caspase-3 Control of RNA Splicing and Mitochondrial Dynamics in Microglia during Parkinson’s Disease [RNA-Seq] 12 samples
- GSE331176 Phagosome-mediated activation of STING by purine and pyrimidine-based bacterial cyclic dinucleotides 380 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.