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Glucose Transport Dependency Defines a Therapeutic Vulnerability in Myeloproliferative Neoplasms

GSE319980 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2026/07/01 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 8 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
8 samples: 2 × 32D Jak2WT cells, GLUT1/3 WT, clone vs 2 × 32D Jak2WT cells, GLUT1/3 KO, clone vs 2 × 32D Jak2V617F cells, GLUT1/3 WT, clone vs 2 × 32D Jak2V617F cells, GLUT1/3 KO, cloneGroups 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
Glucose transport dependency defines a therapeutic vulnerability in JAK2V617F-driven myeloproliferative neoplasmsCell communication and signaling : CCS · 2026
Summary (written by the submitters)
Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a heterogenous group of hematologic malignancies that include polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The most prevalent driver mutation, JAK2V617F, is present in over 90% of PV and approximately 60% of ET and PMF cases.
Read the full summary ↓
Current therapeutic strategies rely on cytoreductive approaches that mitigate disease burden and thromboembolic risk but are not curative. Allogeneic stem cell transplantation remains the only curative option, underscoring the need for novel therapeutic strategies. We previously identified hypoxia–inducible factor 1 (HIF-‍‍1) as a selective vulnerability in JAK2V617F–positive cells, but the underlying metabolic mechanisms remain incompletely defined. CRISPR-Cas9 knockout clones targeting the HIF-1–regulated glucose transporters GLUT1 and GLUT3 were generated in Jak2WT and Jak2V617F backgrounds to charaterize glucose uptake depletion by RNA sequencing.
Published in
Glucose transport dependency defines a therapeutic vulnerability in JAK2V617F-driven myeloproliferative neoplasms
Weiand P, Chatain N, de Toledo MAS et al. · Cell communication and signaling : CCS 2026 · PMID 42337564 · doi:10.1186/s12964-026-03018-4
This dataset
Open GSE319980 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 GSE319980_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 PRJNA1425924 and SRA study SRP678206. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42337564) ↗
Study design
2 × 32D Jak2WT cells, GLUT1/3 WT, clone vs 2 × 32D Jak2WT cells, GLUT1/3 KO, clone vs 2 × 32D Jak2V617F cells, GLUT1/3 WT, clone vs 2 × 32D Jak2V617F cells, GLUT1/3 KO, clone

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 8 sample titles; they account for 8 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
Datasets on a similar topic

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