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Erythropoietin Exposure Impairs B Cell Development and Promotes Myeloid-Imprinted Biphenotypic Progenitors

GSE289311 Mus musculus (mouse) RNA-seq (gene expression) 96 samples Submitted 2025/09/01 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 96 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
96 samples: 20 conditions, mostly with about 5 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
Erythropoietin exposure disrupts B cell development and drives the emergence of myeloid-biased biphenotypic progenitorsStem cell reports · 2026
Summary (written by the submitters)
Erythropoietin (EPO) is the major regulator of erythropoiesis, with levels increasing in response to anemia or hypoxia. Recombinant human EPO (rhEPO) is commonly used to treat anemia in patients with chronic kidney disease or cancer. Beyond its role in erythropoiesis, EPO exerts immunomodulatory effects. Emerging evidence suggests that EPO modulates other hematopoietic lineages, such as megakaryocytes while negatively impacting B-cell development.
Read the full summary ↓
However, its influence on lympho-hematopoiesis remains insufficiently explored. We investigated the effects of EPO on B lymphopoiesis in the context of hyper-EPOemia-induced stress hematopoiesis. Using an EPO supplementation model in C57BL/6 mice, we demonstrate that EPO impairs B lymphopoiesis during Pre-Pro-B to Pro-B transition, by downregulating essential receptor like IL-7 receptor. Conversely, EPO promotes early B-cell development at the common lymphoid progenitor (CLP) and Pre-Pro-B stages. Remarkably, EPO induces the emergence of atypical B-cell precursors with a myeloid imprint, including CSF1R/CD115-expressing CLPs and CD11b and CD16/32-expressing Pre-Pro-B cells. Gene expression profiling revealed that EPO reprograms early B-cell precursors, upregulating a myeloid transcriptional signature while downregulating B-lymphoid identity genes as for instance genes targeted by key transcription factors IRF4, FOXO1, ERG and IRF8. Additionally, EPO exposure impairs hematopoietic stem and progenitor cell proliferation, induces oxidative stress and disrupts iron homeostasis. We additionally observed lymphoid over myeloid progenitor imbalance in the bone marrow and increased extramedullary hematopoiesis in the spleen. In conclusion, hyper-EPOemia reprograms B lymphopoiesis and promotes the emergence of mixed-lineage myeloid-like B cells. Future studies will explore EPO’s effects on lymphoid progenitor fate under hypoxic and infectious conditions.
Published in
Erythropoietin exposure disrupts B cell development and drives the emergence of myeloid-biased biphenotypic progenitors
Chiron-Margerie A, Bessoles S, Sarrabayrouse G et al. · Stem cell reports 2026 · PMID 41650961 · doi:10.1016/j.stemcr.2026.102795
This dataset
Open GSE289311 in finder → Find more mouse 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 GSE289311_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: 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 PRJNA1222388 and SRA study SRP563239. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41650961) ↗
Study design
20 conditions, mostly with about 5 replicates each
PreProB_EXPO ×5 ProB_EXPO ×5 PreBI_EXPO ×5 PreBIIS_EXPO ×5 PreBIIL_EXPO ×5 Immature_EXPO ×5 Immature_PBS ×5 PreBIIS_PBS ×5 +12 more

Supports a between-group comparison across 96 samples.

How we read this: 20 replicated groups read from 96 sample titles; they account for 96 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

+ 56 more — browse all 96 samples with per-sample file links →

Datasets on a similar topic

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