GEO series
EBF1 and PAX5 exert dose dependent epigenetic repression of T-lineage potential [RNA-seq]
GSE295900
Mus musculus
Expression profiling by high throughput sequencing
20 samples
2025/11/25
GPL30172
Summary
B-lymphocyte development is dependent on the coordinated action of transcription factors controlling the expression of stage and lineage specific genes. To better understand gene regulation and changes in the epigenetic landscape in early B-cell development, we conducted combined SC-RNA/ATAC seq analysis of bone marrow progenitor populations, allowing us to build a developmental trajectory based on changes in epigenetic accessibility. This analysis identified a rapid shift in DNA accessibility, where T-lineage primed progenitors gained the epigenetic landscape of B-lymphocytes. The epigenetic switch correlated well with initiation of EBF1 and PAX5 transcription as well as their functional activity. As ectopic expression of EBF1 in Pax5-/- pro-B cells was not sufficient to mediate either the full activation of the B-lineage program of silencing of T-lineage associated genes, we conclude that PAX5 and EBF1 are independently essential for the establishment of the epigenetic landscape in normal B-cell development. This idea was supported by the finding that pro-B cells from mice with combined heterozygote deletion of the Ebf1 and Pax5 genes, carried a non-differentiated epigenetic landscape and expressed T-lineage associated genes. The importance of epigenetic silencing for the preservation of B-cell fate was supported by the finding that inhibition of the histone methylases EZH1 and EZH2 in pro-B cells, allowed for the activation of T-lineage genes and generation of T-lineage cells in response to Notch signaling. Hence, B-lymphoid commitment is associated with a transcription factor dose dependent epigenetic switch, silencing an inherent T-lineage potential in early lymphoid progenitors.
Download
NCBI GEO page ↗
Paper (PMID 41266087) ↗
{# 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
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 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
- GSE337190 CAR-NKT cells induce low cytokine release syndrome by targeting hyperinflammatory macrophages with mitigation from GM-SCF inhibition. 24 samples
- GSE306116 Caspase-3 Control of RNA Splicing and Mitochondrial Dynamics in Microglia during Parkinson’s Disease [RNA-Seq] 12 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.