← BioTransfer GEO Dataset Finder
GEO series

HiJAKing the hematopoietic system: a low-frequency JAK2V617F clone drives myeloproliferative neoplasm pathology

GSE278496 Mus musculus (mouse) RNA-seq (gene expression) 43 samples Submitted 2025/08/20 Platform GPL24247Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 43 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
43 samples: 43 samples, each with a distinct title — no replicated groupsGroups 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
HiJAKing the hematopoietic system: a low-frequency JAK2V617F clone drives myeloproliferative neoplasm pathologyBlood · 2025
Summary (written by the submitters)
JAK2V617F is one of the most common mutations in clonal hematopoiesis of indeterminate potential (CHIP) and a major driver of myeloproliferative neoplasms (MPN). To determine the impact of the low frequency JAK2V617F clone on both the hematopoietic system and the bone marrow (BM) stroma, we developed a traceable murine JAK2V617F MPN model where the disease is induced in unconditioned bone marrow transplantation (BMT) recipients.
Read the full summary ↓
Whole BMT was performed via a single tail vein injection of 5.0x106 cells into unconditioned C57BL/6 Ptprca CD45.1+ recipient mice using CD45.2+ donor cells carrying JAK2V617F isolated from a Poly I:C inducible MPN-like model. BMT resulted in a PV-like phenotype (elevated hematocrit and leukocytosis) with an average donor cell chimerism in peripheral blood of 2.74%. Eight months after BMT, RNA-seq analysis of whole BM sorted according to CD45.1/CD45.2 expression showed significant upregulation of early erythroblast- and myeloid cell-specific transcripts, as well as downregulation of lymphoid transcripts in donor-derived cells compared to controls. Surprisingly, recipient-derived cells also showed upregulation of myeloid- and erythroblast-related transcripts, indicating a skewing of the non-JAK2V617F carrying recipient hematopoietic system towards an MPN-like phenotype. In addition, RNA-seq analysis of the BM stroma from JAK2V617F BMT recipients 28-32 weeks post-BMT indicated significant loss of osteo-mesenchymal transcripts. Consistently, micro-CT imaging indicated loss of trabecular bone. Our model uncovers the impact of JAK2V617F donor cells on the host BM microenvironment and hematopoietic system, driving an MPN phenotype even with low donor cell chimerism within unconditioned recipients. The observation that BMT recipient’s hematopoietic cells, which do not carry JAK2V617F, acquire unique transcriptomic and phenotypic profiles suggests that the MPN clone not only impacts hematopoiesis-supporting stroma but profoundly influences unmutated cells, challenging our current understanding and therapeutic approaches to MPNs and other CHIP-associated diseases.
Published in
HiJAKing the hematopoietic system: a low-frequency JAK2V617F clone drives myeloproliferative neoplasm pathology
Bonal DM, Oakes A, Chorzalska A et al. · Blood 2025 · PMID 40729727 · doi:10.1182/blood.2024027125
This dataset
Open GSE278496 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 GSE278496_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 PRJNA1167631 and SRA study SRP535893. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40729727) ↗
Study design
43 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 43 sample titles: 43 distinct titles with little repetition. 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

+ 3 more — browse all 43 samples with per-sample file links →

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.