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Maintenance of gene expression homeostasis by systems-level feedback loops in response to changes in RNA polymerase II dosage [RNAPII_levels_CUT&RUN]

GSE307865 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2025/11/19 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 42 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
42 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.
Summary (written by the submitters)
Transcription is regulated by sequence-specific transcription factors and enzymes allowing access to genes in chromatin. However, recent data indicate that the abundance of RNA polymerase II (RNAPII) may itself under certain circumstances represent an additional, crucial determinant of transcription regulation. Here, we titrated the cellular dosage of human RPB1, the largest RNAPII subunit, using the dTAG system to more generally assess the importance of RNAPII levels.
Read the full summary ↓
Unexpectedly, cells are extremely sensitive to RPB1 dosage, with a mere 30% reduction sufficient to perturb cell proliferation, cell cycle progression, and global transcription. Using a combination of sequencing and proteomic approaches, we uncover the existence of multiple feedback loops between transcriptional initiation, promotor-proximal pause release, transcript elongation, splicing, and mRNA half-life, which facilitate the maintenance of gene expression homeostasis. Together, our data suggests that gene expression is highly sensitive to RPB1 dosage and that the cellular levels of RNAPII must be tightly regulated.
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 GSE307865_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 PRJNA1327433 and SRA study SRP619311. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 42 more — browse all 42 samples with per-sample file links →

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