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The phosphatase PP1 sustains global transcription by promoting RNA polymerase II pause release [ChIP-seq]

GSE280548 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2024/12/02 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 22 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
22 samples
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
The phosphatase PP1 sustains global transcription by promoting RNA polymerase II pause releaseMolecular cell · 2024
Summary (written by the submitters)
We performed calibrated ChIP-seq, PRO-seq, TT-seq, or RNA-seq to investigate the role of protein phosphotase PNUTS-PP1 in regulating transcription. ChIP-seq, PRO-seq, TT-seq, or RNA-seq were normalizated by MEF as spike-in. The reads passed the quality check aligned to the human hg19 and mouse mm10 genome. In this study, samples for each condition were collected in biological duplicates. Cells were treated with dTAG13 for 3,12h, the corresponding control cells were treated with vehicle only (DMSO) at the same vol/vol dilution.
Published in
The phosphatase PP1 sustains global transcription by promoting RNA polymerase II pause release
Wang Z, Song A, Tao B et al. · Molecular cell 2024 · PMID 39603240 · doi:10.1016/j.molcel.2024.10.046
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 GSE280548_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 PRJNA1179375 and SRA study SRP541773. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

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