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FANCM is Required for the PAX3::FOXO1-Driven Oncogenic Program in Rhabdomyosarcoma [RNA-Seq]

GSE292872 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2026/08/04 Platform GPL34284Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 21 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
Soft tissue sarcomaThis series is part of our curated briefing on it.
Samples
21 samples: 7 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.
Summary (written by the submitters)
Many cancers are driven by mutationally altered transcription factors (TFs) that rewire cells to an oncogenic state. Cells must activate specific mechanisms to tolerate the burden of oncogenic TF activity. To define such mechanisms, we focused on a canonical oncogenic fusion protein-driven cancer, alveolar rhabdomyosarcoma (ARMS), where the PAX3::FOXO1 fusion protein hyperactivates and mislocalizes PAX3 and FOXO1 TF functions.
Read the full summary ↓
Employing sequential functional genomic CRISPR/Cas9 screens, we identified FANCM, a DNA translocase in the Fanconi anemia pathway, as a selective dependency in PAX3::FOXO1+ ARMS. FANCM loss reduces fusion protein levels, induces myogenic differentiation, and disrupts the PAX3::FOXO1 transcriptional program, thereby halting oncogenic proliferation. Mechanistically, FANCM depletion exacerbates replication stress (RS) and DNA damage signaling, with chromatin-associated RS enriched at PAX3::FOXO1 target gene loci, resulting in selective downregulation of the oncogenic program. CRISPR exon-tiling screens prioritized FANCM's helicase and DNA-binding domains as essential for this dependency, linking FANCM-mediated replication fork binding to sustained oncogenesis.
This dataset
Open GSE292872 in finder → Find more human RNA-seq datasets → Soft tissue sarcoma 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 GSE292872_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 PRJNA1241797 and SRA study SRP572995. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in triplicate
Rh4 Clone Cells, ishNTC, Day 7, ×3 Rh4 Clone Cells, ishP3F1, Day 7, ×3 Rh4 Clone Cells, ishNTC, Day 2, ×3 Rh4 Clone Cells, ishFANCM_SMC, Day 2, ×3 Rh4 Clone Cells, ishFANCM, Day 2, ×3 Rh4 Clone Cells, Parental, ×3 Rh4 Clone Cells, Treated IR24hrs, ×3

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
More Soft tissue sarcoma 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.