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Menin-dependent megakaryocyte proliferation and fibrosis in myeloproliferative neoplasms

GSE309082 Homo sapiens (human) RNA-seq (gene expression) 29 samples Submitted 2026/07/09 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 29 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
Homo sapiens (human)
Topic
Myeloproliferative neoplasmsThis series is part of our curated briefing on it.
Samples
29 samples: 29 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.
Summary (written by the submitters)
Menin inhibition, an approved therapy for MLL-rearranged acute myeloid leukemia, is accompanied by decreased platelet counts in 15-20% of heavily pre-treated leukemia patients. While studying the mechanism that accounts for this effect, we discovered that menin inhibition reduced the numbers of megakaryocyte progenitors in human CD34+ cultures and in mice.
Read the full summary ↓
Given this ability to suppress megakaryopoiesis, which is a key driver of myeloproliferative neoplasms (MPN), we investigated the extent to which menin inhibition ameliorates MPN phenotypes. We found that the menin inhibitor revumenib has potent anti-tumor activity in MPN animal models, leading to significantly increased survival, decreased accumulation of megakaryocytes, normalization of peripheral blood counts, and ablation of bone marrow fibrosis. Revumenib also synergized with the JAK inhibitor ruxolitinib while having subtle effects in healthy mice. Moreover, revumenib suppressed megakaryopoiesis of primary MPN patient specimens in colony forming assays and liquid culture. Importantly, knockout of menin and its target MEIS1 phenocopied the action of revumenib, confirming an on-target effect of the drug. Of note, menin inhibition was not associated with suppression of JAK/STAT signaling indicating that it is a novel dependency. Together we reveal that menin inhibition is a novel therapeutic approach for MPNs.
This dataset
Open GSE309082 in finder → Find more human RNA-seq datasets → Myeloproliferative neoplasms landscape →
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 GSE309082_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 PRJNA1333926 and SRA study SRP626407. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
29 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 29 sample titles: 29 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
More Myeloproliferative neoplasms datasets

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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.