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JAK2V617F Myeloproliferative Neoplasms Support Parallel Evolution of Independent Leukemic Clones

GSE308233 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/02/24 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 16 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
JAK2 (V617F) Myeloproliferative Neoplasms Support Parallel Evolution of Independent Leukemic ClonesbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Myeloproliferative neoplasms (MPNs) are hematological diseases predominantly driven by the JAK2V617F mutation. Progression from chronic-phase MPN to secondary acute myeloid leukemia (sAML) is a severe complication as it dramatically worsens disease prognosis. While sAML transformation is classically linked to MPN clones acquiring additional mutations, the absence of JAK2V617F in sAML cases originating from JAK2-mutant MPNs suggests alternative mechanisms.
Read the full summary ↓
Utilizing patient samples and in vivo modeling, we establish that sAML clones can emerge independently of JAK2-mutant cells. These leukemic clones undergo positive selection in the pro-inflammatory MPN environment leading to their predominance in the hematopoietic system. Genetic and pharmacological inhibition of IL-12 and TNFa mitigates this competitive advantage. Our data establish a new paradigm and show that disease progression in MPN can arise from parallel acute myeloid leukemia (pAML) clones.
Published in
JAK2 (V617F) Myeloproliferative Neoplasms Support Parallel Evolution of Independent Leukemic Clones
Parsons TM, Krishnan A, Raj IX et al. · bioRxiv : the preprint server for biology 2025 · PMID 41040409 · doi:10.1101/2025.09.23.678057
This dataset
Open GSE308233 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 GSE308233_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 PRJNA1329261 and SRA study SRP620821. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41040409) ↗
Study design
16 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 16 sample titles: 16 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
Datasets on a similar topic

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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.