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Mesenchymal stromal cells from JAK2V617F myeloproliferative neoplasms support healthy and malignant haematopoiesis in a humanised scaffold model in vivo

GSE288706 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/08/27 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Topic
Myeloproliferative neoplasmsThis series is part of our curated briefing on it.
Samples
12 samples
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
Mesenchymal stromal cells from JAK2 (V617F) myeloproliferative neoplasms support healthy and malignant hematopoiesis in a humanized scaffold model in vivoHemaSphere · 2025
Summary (written by the submitters)
Myeloproliferative Neoplasms (MPN) are malignancies of hematopoietic stem and progenitor cells (HSPCs) that lead to the overproduction of mature blood cells. These disorders include Essential Thrombocythemia (ET), Polycythaemia Vera (PV), and Primary Myelofibrosis (PMF), primarily driven by somatic mutations such as JAK2V617F. Research indicates that mesenchymal stromal cells (MSCs) support fibrosis in PMF, though their role in ET and PV remains less clear. Furthermore, in vivo studies of ET/PV HSPCs remain a challenge due to low engraftment levels in xenograft models.
Published in
Mesenchymal stromal cells from JAK2 (V617F) myeloproliferative neoplasms support healthy and malignant hematopoiesis in a humanized scaffold model in vivo
Ferrelli A, Mian S, Piganeau M et al. · HemaSphere 2025 · PMID 40862221 · doi:10.1002/hem3.70185
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 GSE288706_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 PRJNA1219105 and SRA study SRP561460. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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