CBFβ-SMMHC-driven leukemogenesis requires enhanced RUNX1-DNA binding affinity in mice
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 38 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 38 samples: 8 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- CBFβ-SMMHC-driven leukemogenesis requires enhanced RUNX1-DNA binding affinity in miceThe Journal of clinical investigation · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE285824_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1206157 and SRA study SRP555160. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 8 replicated groups read from 38 sample titles; they account for 22 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8709798 ChIC-seq_WT_H3K27ac_rep1
- GSM8709799 ChIC-seq_WT_IgG_rep1
- GSM8709800 ChIC-seq_WT_MYH11_rep1
- GSM8709801 ChIC-seq_WT_Runx1_rep1
- GSM8709802 ChIC-seq_mDE_H3K27ac_rep1
- GSM8709803 ChIC-seq_mDE_IgG_rep1
- GSM8709804 ChIC-seq_mDE_MYH11_rep1
- GSM8709805 ChIC-seq_mDE_Runx1_rep1
- GSM8709806 ChIC-seq_dHABD_H3K27ac_rep1
- GSM8709807 ChIC-seq_dHABD_IgG_rep1
- GSM8709808 ChIC-seq_dHABD_MYH11_rep1
- GSM8709809 ChIC-seq_dHABD_Runx1_rep1
- GSM8709810 ChIC-seq_KI_H3K27ac_rep1
- GSM8709811 ChIC-seq_KI_IgG_rep1
- GSM8709812 ChIC-seq_KI_MYH11_rep1
- GSM8709813 ChIC-seq_KI_Runx1_rep1
- GSM8709814 RNA-seq_control_rep1 RNA-seq_control
- GSM8709815 RNA-seq_control_rep2 RNA-seq_control
- GSM8709816 RNA-seq_control_rep3 RNA-seq_control
- GSM8709817 RNA-seq_Cbfb-MYH11-mDE_rep1 RNA-seq_Cbfb-MYH11-mDE
- GSM8709818 RNA-seq_Cbfb-MYH11-mDE_rep2 RNA-seq_Cbfb-MYH11-mDE
- GSM8709819 RNA-seq_Cbfb-MYH11-mDE_rep3 RNA-seq_Cbfb-MYH11-mDE
- GSM8709820 RNA-seq_Cbfb-MYH11-dHABD_rep1 RNA-seq_Cbfb-MYH11-dHABD
- GSM8709821 RNA-seq_Cbfb-MYH11-dHABD_rep2 RNA-seq_Cbfb-MYH11-dHABD
- GSM8709822 RNA-seq_Cbfb-MYH11-dHABD_rep3 RNA-seq_Cbfb-MYH11-dHABD
- GSM8709823 RNA-seq_Cbfb-MYH11-KI_rep1 RNA-seq_Cbfb-MYH11-KI
- GSM8709824 RNA-seq_Cbfb-MYH11-KI_rep2 RNA-seq_Cbfb-MYH11-KI
- GSM8709825 RNA-seq_Cbfb-MYH11-KI_rep3 RNA-seq_Cbfb-MYH11-KI
- GSM8709826 RNA-seq_Mx1CreKI_rep1 RNA-seq_Mx1CreKI
- GSM8709827 RNA-seq_Mx1CreKI_rep2 RNA-seq_Mx1CreKI
- GSM8709828 RNA-seq_Mx1CreKI_rep3 RNA-seq_Mx1CreKI
- GSM8709829 RNA-seq_R188QCreKI_rep1 RNA-seq_R188QCreKI
- GSM8709830 RNA-seq_R188QCreKI_rep2 RNA-seq_R188QCreKI
- GSM8709831 RNA-seq_R188QCreKI_rep3 RNA-seq_R188QCreKI
- GSM8709832 10x-scRNA-seq_Mx1CreKI_rep1 10x-scRNA-seq_Mx1CreKI
- GSM8709833 10x-scRNA-seq_Mx1CreKI_rep2 10x-scRNA-seq_Mx1CreKI
- GSM8709834 10x-scRNA-seq_R188QCreKI_rep1 10x-scRNA-seq_R188QCreKI
- GSM8709835 10x-scRNA-seq_R188QCreKI_rep2 10x-scRNA-seq_R188QCreKI
- GSE298958 Bone marrow failure, somatic rescue by p53 inactivation, and enhanced leukemogenesis in germline ERCC6L2 disease 48 samples shares leukemogenesis, enhanced
- GSE244586 Spatial Transcriptomic Profiling of Male Germ Cells from Control and Cbfb cKO mice 54 samples shares cbf
- GSE277547 A novel histone H3K27 reader, CBFA2T2, inhibits H3K27me3 demethylation and tumor growth by regulating metabolic genes and metabolite levels [ChIP-seq II] 19 samples shares cbf
- GSE206598 Transcriptome analysis of tumors from genetically engineered mouse models carrying Cbfb and/or Pik3ca mutations 18 samples shares cbf
- GSE277513 A novel histone H3K27 reader, CBFA2T2, inhibits H3K27me3 demethylation and tumor growth by regulating metabolic genes and metabolite levels [RNA-seq] 6 samples shares cbf
- GSE291041 Heritable fetal protection against MLL::ENL-driven leukemogenesis depends on MLL3 43 samples shares leukemogenesis
- GSE198504 Phf6 truncating mutation drives leukemogenesis via disrupted epigenetic regulation in mice 27 samples shares leukemogenesis
- GSE291040 Heritable fetal protection against MLL::ENL-driven leukemogenesis depends on MLL3 [Bulk RNA-seq] 24 samples shares leukemogenesis
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.