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Dynamic expression of Erg controls fetal-to-adult maturation of the hematopoietic system [RNA-seq]

GSE269184 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/11/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 4 × rnaseq_Tg_BM vs 4 × rnaseq_WT_BM vs 4 × rnaseq_WT_FLGroups 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
Dynamic activity of Erg promotes maturation of the hematopoietic systemBlood advances · 2026
Summary (written by the submitters)
Adults and children are affected by different types of blood diseases. We hypothesize that this is due to differences in normal blood formation between infants, children, and adults. Our laboratory focuses on understanding these age-related differences in blood formation as a foundation upon which to improve understanding of blood diseases.
Read the full summary ↓
In this project, we extend our previous work to understand how hallmarks of young versus mature blood formation – for example, the types of mature blood cells produced – are controlled at the genetic level. I will use a combination of mouse models, genetic manipulation, and genetic profiling to test our hypothesis that the key blood stem cell factor Erg controls the age state of blood formation.
Published in
Dynamic activity of Erg promotes maturation of the hematopoietic system
Tanaka-Yano M, Sugden WW, Wang D et al. · Blood advances 2026 · PMID 41191516 · doi:10.1182/bloodadvances.2025017705
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 GSE269184_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 PRJNA1120472 and SRA study SRP512055. Searching any of these in the dataset finder brings you back here.

Study design
4 × rnaseq_Tg_BM vs 4 × rnaseq_WT_BM vs 4 × rnaseq_WT_FL

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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
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