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NMuMG PBRM1 ATAC-seq

GSE298752 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2026/06/16 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 24 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
Mus musculus (mouse)
Samples
24 samples: 8 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)
Mammalian SWI/SNF or BAF are multi-subunit complexes that regulate cell-type specific gene expression by modulating chromatin accessibility, in coordination with transcription factors and other chromatin regulators. PBRM1 is the complex defining subunit of PBAF class of SWI/SNF complexes. It is mutated in ~40% of clear cell renal cell carcinoma cases but also associated with cancer progression and therapy resistance, indicating context-dependent function.
Read the full summary ↓
We have previously reported that loss of PBRM1 in normal epithelial cells results in a partial Epithelial-to-Mesenchymal Transition (EMT). In this study, we have utilized epigenomic and transcriptomic approaches to understand the mechanistic role of PBRM1 in EMT-regulated gene expression, and its relationship to genome-wide histone modifications.
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 GSE298752_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1271058 and SRA study SRP589398. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
[ATAC-Seq] Control_0h_biol ×3 [ATAC-Seq] Control_24h_biol ×3 [ATAC-Seq] Control_48h_biol ×3 [ATAC-Seq] Control_72h_biol ×3 [ATAC-Seq] PBRM1 KO_0h_biol ×3 [ATAC-Seq] PBRM1 KO_24h_biol ×3 [ATAC-Seq] PBRM1 KO_48h_biol ×3 [ATAC-Seq] PBRM1 KO_72h_biol ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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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