← BioTransfer GEO Dataset Finder
GEO series

PAX translocations remodel mitochondrial metabolism through altered leucine usage in rhabdomyosarcoma [RNA-seq]

GSE253892 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/04/03 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 18 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)
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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
PAX translocations remodel mitochondrial metabolism through altered leucine usage in rhabdomyosarcomaCell · 2025
Summary (written by the submitters)
Alveolar rhabdomyosarcoma (ARMS) patients harboring PAX3-FOXO1 and PAX7-FOXO1 fusion proteins exhibit a greater incidence of tumor relapse, metastasis, and poor survival outcome, thereby underscoring the urgent need to develop effective therapies to treat this subtype of childhood cancer. To uncover mechanisms that contribute to tumor initiation, we develop a muscle progenitor model and use epigenomic approaches to unravel genome rewiring events mediated by PAX3/7 fusion proteins.
Read the full summary ↓
Among the key targets of PAX3/7 fusion proteins, we identify a cohort of oncogenes, FGF receptors, tRNA-modifying enzymes, and genes essential for mitochondrial metabolism and protein translation, which we successfully targeted in preclinical trials. We identify leucine usage as a key factor driving the growth of aggressive PAX-fusion tumors, as limiting its bioavailability impaired oxidative phosphorylation and mitochondrial metabolism, delaying tumor progression and improving survival in vivo. Our data provide a compelling list of actionable targets and suggest promising new strategies to treat this tumor.
Published in
PAX translocations remodel mitochondrial metabolism through altered leucine usage in rhabdomyosarcoma
Kalita B, Martinez-Cebrian G, McEvoy J et al. · Cell 2025 · PMID 40185100 · doi:10.1016/j.cell.2025.03.008
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 GSE253892_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 PRJNA1067627 and SRA study SRP485240. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Control_RNAseq_mDOX ×3 P3F1_RNAseq_mDOX ×3 P7F1_RNAseq_mDOX ×3 Control_RNAseq_pDOX ×3 P3F1_RNAseq_pDOX ×3 P7F1_RNAseq_pDOX ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.