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The small but versatile DSS1 protein is required for proper Integrator–PP2A function [ChIP-seq]

GSE297001 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2025/07/09 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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)
Samples
10 samples: 8 distinct titles, 2 of them repeatedGroups 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
DSS1 is required for proper Integrator-PP2A functionNature communications · 2025
Summary (written by the submitters)
Integrator-PP2A (INTAC) is a highly modular complex orchestrating the transition of paused RNA polymerase II into productive elongation or promoter-proximal premature termination, with its loss resulting in transcription dysregulation and genome instability. Here, we identify human DSS1—a flexible 70-residue protein found in multiple functionally diverse complexes including the 26S proteasome—as an integral subunit of the INTAC backbone.
Read the full summary ↓
Structural analysis of DSS1–INTAC, both alone and in association with paused polymerase, demonstrates intimate interactions between DSS1 and the INTAC backbone. We identify tryptophan 39 of DSS1 as being critical for interacting with INTAC and find that its mutation disrupts DSS1’s interaction with INTAC, while maintaining DSS1’s interaction with the proteasome. This substitution not only impairs INTAC-dependent transcriptional regulation, but also reveals that INTAC is DSS1’s major chromatin-bound form. Together, our findings reveal a role for the versatile DSS1 protein in supporting the structure and regulatory functions of INTAC.
Published in
DSS1 is required for proper Integrator-PP2A function
Xu C, Zhou QX, Zheng H et al. · Nature communications 2025 · PMID 40617815 · doi:10.1038/s41467-025-61257-4
This dataset
Open GSE297001 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →
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 GSE297001_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1262356 and SRA study SRP584867. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40617815) ↗
Study design
8 distinct titles, 2 of them repeated
ChIP_input-DSS1-dTAG+OE-DSS1-WT ×2 ChIP_input-DSS1-dTAG+OE-DSS1-W39R ×2

How we read this: Read from 10 sample titles: 8 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.

Samples in this study
Datasets on a similar topic

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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.