NAB2::STAT6 Fusion Proteins Drive Nuclear Condensate Formation and Transcriptional Reprogramming in Solitary Fibrous Tumors
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Topic
- Soft tissue sarcomaThis series is part of our curated briefing on it.
- Samples
- 36 samples: 36 samples, each with a distinct title — no replicated groupsGroups 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
- NAB2::STAT6 fusion proteins drive nuclear condensate formation and transcriptional reprogramming in solitary fibrous tumorsCancer letters · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE330326_RAW.tar (it can run to tens of gigabytes).
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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1463642 and SRA study SRP698612. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 36 sample titles: 36 distinct titles with little repetition. 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.
- GSM9723846 C2,DMSO,rep1,EGR1
- GSM9723847 C2,Mithra,rep1,EGR1
- GSM9723848 42,DMSO,rep1,EGR1
- GSM9723849 42,Mithra,rep1,EGR1
- GSM9723850 C2,DMSO,rep2,EGR1
- GSM9723851 C2,Mithra,rep2,EGR1
- GSM9723852 42,DMSO,rep2,EGR1
- GSM9723853 42,Mithra,rep2,EGR1
- GSM9723854 C2,DMSO,rep3,EGR1
- GSM9723855 C2,Mithra,rep3,EGR1
- GSM9723856 42,DMSO,rep3,EGR1
- GSM9723857 42,Mithra,rep3,EGR1
- GSM9723858 C2,DMSO,rep1,IgG
- GSM9723859 C2,Mithra,rep1,IgG
- GSM9723860 42,DMSO,rep1,IgG
- GSM9723861 42,Mithra,rep1,IgG
- GSM9723862 C2,DMSO,rep2,IgG
- GSM9723863 C2,Mithra,rep2,IgG
- GSM9723864 42,DMSO,rep2,IgG
- GSM9723865 42,Mithra,rep2,IgG
- GSM9723866 C2,DMSO,rep3,IgG
- GSM9723867 C2,Mithra,rep3,IgG
- GSM9723868 42,DMSO,rep3,IgG
- GSM9723869 42,Mithra,rep3,IgG
- GSM9723870 C2,DMSO,rep1,Input
- GSM9723871 C2,Mithra,rep1,Input
- GSM9723872 42,DMSO,rep1,Input
- GSM9723873 42,Mithra,rep1,Input
- GSM9723874 C2,DMSO,rep2,Input
- GSM9723875 C2,Mithra,rep2,Input
- GSM9723876 42,DMSO,rep2,Input
- GSM9723877 42,Mithra,rep2,Input
- GSM9723878 C2,DMSO,rep3,Input
- GSM9723879 C2,Mithra,rep3,Input
- GSM9723880 42,DMSO,rep3,Input
- GSM9723881 42,Mithra,rep3,Input
- GSE314949 RNA Seq of rhabdomyosarcoma cells with sgRNA targeting oncofusion interacting proteins 30 samples same disease briefing · shares proteins
- GSE303151 CDK8 Inhibition Releases the Muscle Differentiation Blockade in Fusion-driven Alveolar Rhabdomyosarcoma [CUT&RUN] 50 samples same disease briefing
- GSE292876 FANCM is Required for the PAX3::FOXO1-Driven Oncogenic Program in Rhabdomyosarcoma [ChIP-Seq] 18 samples same disease briefing
- GSE275736 A multitargeting approach rewires cell identity in fusion-negative rhabdomyosarcoma [bulk_ATACseq] 8 samples same disease briefing
- GSE329566 CDK8 Inhibition Releases the Muscle Differentiation Blockade in Fusion-driven Alveolar Rhabdomyosarcoma [ChIP-Seq] 8 samples same disease briefing
- GSE224170 Chromatin status of rhabdomyosarcoma (RMS) cell line RH30 in repsonse to MyoD CRISPR/Cas9 deletion [RMS ATAC-seq] 6 samples same disease briefing
- GSE303149 CDK8 Inhibition Releases the Muscle Differentiation Blockade in Fusion-driven Alveolar Rhabdomyosarcoma [ATAC-seq] 6 samples same disease briefing
- GSE312030 Combined inhibition of HRAS and MEK induces tumor regression and restores myogenic differentiation in HRAS-mutant rhabdomyosarcoma 159 samples same disease briefing
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.