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Sequence-specific RNA recognition drives Restrictor-mediated termination of extragenic transcription

GSE300453 synthetic construct; Homo sapiens ChIP-seq / ATAC-seq (genome binding and open chromatin) 163 samples Submitted 2026/03/03 Platform GPL24676Platform GPL26526
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · synthetic construct; Homo sapiens · 163 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
synthetic construct; Homo sapiens
Samples
163 samples: 65 conditions, mostly in duplicateGroups 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
Sequence-specific RNA recognition drives Restrictor-mediated termination of extragenic transcriptionMolecular cell · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Sequence-specific RNA recognition drives Restrictor-mediated termination of extragenic transcription
Polizzese D, Mandana GM, Russo M et al. · Molecular cell 2026 · PMID 41780532 · doi:10.1016/j.molcel.2026.02.006
This dataset
Open GSE300453 in finder → Find more 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 GSE300453_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 PRJNA1280970 and SRA study SRP593377. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41780532) ↗
Study design
65 conditions, mostly in duplicate
ZC3H4_AID HCT-116 cell line, siRNA control, ×3 ZC3H4_AID HCT-116 cell line, siRNA control, A… ×3 HeLa cell line, Control, ×3 RBNS_ZC3H4_0nM ×3 RBNS_ZC3H4_5nM ×3 RBNS_ZC3H4_20nM ×3 RBNS_ZC3H4_80nM ×3 RBNS_ZC3H4_320nM ×3 +66 more

Supports a case/control comparison: 9 samples read as cases, 16 as controls.

How we read this: 65 replicated groups read from 163 sample titles; they account for 154 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

+ 123 more — browse all 163 samples with per-sample file links →

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