← BioTransfer GEO Dataset Finder
GEO series

Linker histone H1-0 is a specific mediator of the ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemia

GSE283119 Homo sapiens (human) Single-cell RNA-seq 24 samples Submitted 2025/04/09 Platform GPL34281
At a glance

Single-cell RNA-seq · human · 24 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
24 samples: 5 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
H1-0 is a specific mediator of the repressive ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemiaHemaSphere · 2025
Summary (written by the submitters)
The chimeric hematopoietic transcription factor ETV6::RUNX1 is the most common oncogenic fusion in pediatric B cell precursor acute lymphoblastic leukemia (BCP-ALL). It induces a clinically silent preleukemic state that requires secondary mutations for progression to full-blown leukemia. ETV6::RUNX1 functions primarily through repression of RUNX1 binding sites.
Read the full summary ↓
In order to elucidate the characteristic quiescent state of ETV6::RUNX1 expressing cells, we generated preleukemic human induced pluripotent stem cell (hiPSC) models from two healthy donors using CRISPR/Cas9 gene editing. We identified upregulation of linker histone H1-0 in preleukemic hiPSCs, which was preserved upon hematopoietic differentiation and transformation to overt BCP-ALL. ETV6::RUNX1 induces activity of the H1-0 promoter whereas depletion of H1-0 specifically inhibited ETV6::RUNX1 signature genes, indicating its role as a novel key mediator of the quiescent ETV6::RUNX1 transcriptional profile. Single-cell gene expression analysis revealed that H1-0 levels strongly anti-correlate with cellular transcriptional activity, resulting in particularly high expression in quiescent cells during hematopoietic development. Pharmacologically, H1-0 protein levels correspond to susceptibility of BCP-ALL towards histone deacetylase inhibitor (HDACi) treatment and our data indicate efficacy of combinatorial drug treatment using the potent H1-0-inducing HDACi Quisinostat in BCP-ALL expressing high basal H1-0 levels.
Published in
H1-0 is a specific mediator of the repressive ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemia
Jepsen VH, Hanel A, Picard D et al. · HemaSphere 2025 · PMID 40177616 · doi:10.1002/hem3.70116
This dataset
Open GSE283119 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE283119_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1192192 and SRA study SRP548330. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40177616) ↗
Study design
5 conditions, mostly in triplicate
10000 DMSO, ×12 RS4; 11, 1 µM Quisinostat, ×3 SUP-B15, 1 µM Quisinostat, ×3 REH, 1 µM Quisinostat, ×3 MHH-CALL-2, 1 µM Quisinostat, ×3

Supports a between-group comparison across 24 samples.

How we read this: 5 replicated groups read from 24 sample titles; they account for 24 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.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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.