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Transcriptomic effects of purine metabolism inhibition and nucleolus rRNA synthesis disruption on murine acute myeloid leukemia stem cell

GSE263345 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/02/17 Platform GPL19057
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
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
Guanine nucleotide biosynthesis blockade impairs MLL complex formation and sensitizes leukemias to menin inhibitionNature communications · 2025
Summary (written by the submitters)
Through targeted metabolomics analysis of bulk leukemia cells and leukemia stem cells (LSCs) derived from the MLL-AF9-driven acute myeloid leukemia (AML) model, in comparison with normal granulocyte-monocyte progenitor (GMP) cells and whole bone marrow (WBM) cells from normal mice, we identified enhanced purine metabolism in AML LSCs.
Read the full summary ↓
Pharmacological targeting of the purine metabolism using mycophenolate mofetil (MMF) resulted in decreased levels of purine metabolites crucial for nucleolus rRNA synthesis. Importantly, inhibition of purine metabolism or disruption of the nucleolus rRNA synthesis, achieved by inhibiting pol I activity with CX-5461, triggered myeloid differentiation in the MLL-AF9-driven AML LSCs. These findings unveil a regulatory axis involving purine metabolism and nucleolar rRNA synthesis in maintaining AML LSC activity.
Published in
Guanine nucleotide biosynthesis blockade impairs MLL complex formation and sensitizes leukemias to menin inhibition
Shi X, Li M, Liu Z et al. · Nature communications 2025 · PMID 40102405 · doi:10.1038/s41467-025-57544-9
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 GSE263345_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 PRJNA1096739 and SRA study SRP500019. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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