← BioTransfer GEO Dataset Finder
GEO series

Gene expression of TPO-stimulated HSC-derived murine Evi1+AML

GSE261134 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/10/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
24 samples: 6 conditions, mostly with about 4 replicates eachGroups 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
Thrombopoietin increases susceptibility for EVI1 + KMT2A-MLLT3-driven AML expressing stem cell genes linked to poor outcomeNature communications · 2025
Summary (written by the submitters)
To characterize the cellular origin of ecotropic virus integration site 1 (EVI1)-expressing aggressive KMT2A-rearranged acute myeloid leukaemia (AML), we integrated an Evi1-GFP reporter allele in the inducible iKMT2A-MLLT3 mouse model. Single injection of thrombopoietin (TPO) was done to observe the effects on Evi1+ haematopoietic stem cells (HSC) and its consequences on AML.
Read the full summary ↓
To better characterized the effects of Evi1 and TPO, gene expression was determined by RNA sequencing from HSC-derived iKMT2A-MLLT3-driven AML expressing different levels of Evi1 (GFP+ , GFP- and bulk fractions) treated or not with TPO.
Published in
Thrombopoietin increases susceptibility for EVI1 + KMT2A-MLLT3-driven AML expressing stem cell genes linked to poor outcome
Châtel-Soulet HÉ, Juge S, Pereira AL et al. · Nature communications 2025 · PMID 41419472 · doi:10.1038/s41467-025-67611-w
This dataset
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.

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 GSE261134_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1085341 and SRA study SRP494018. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
BM cells, noTPO, bulk, ×4 BM cells, noTPO, GFP-, ×4 BM cells, TPO, GFP+, ×4 BM cells, TPO, bulk, ×4 BM cells, TPO, GFP-, ×4 BM cells, noTPO, GFP+, ×4

Supports a between-group comparison across 24 samples.

How we read this: 6 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 mouse 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.