← BioTransfer GEO Dataset Finder
GEO series

The PAF1 Complex Regulates Transcriptional Termination and Reinitiation [CUT&Tag]

GSE188412 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 71 samples Submitted 2024/11/06 Platform GPL24676Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 71 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
71 samples: 30 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.
Summary (written by the submitters)
Chromatin places fundamental physical constraints on transcription (Gamarra and Narlikar, 2021). The PAF1 complex (PAF1C), a hexamer of PAF1, LEO1, CTR9, SKI8, CDC73 and RTF1, plays a critical role in transcription with incompletely understood mechanisms. During transcriptional elongation, PAF1C is one of the positive elongation factors in complex with RNA polymerase II (Pol II) to facilitate elongation through chromatin (Vos et al., 2018), but it is unclear yet if negative elongation factors are needed concurrently to restrain elongation.
Read the full summary ↓
Here we show that besides decreasing elongation rate, LEO1 knockout in human K562 cells increases transcriptional readthrough and cellular level of C-terminal domain (CTD) phosphorylated Pol II while increases and decreases transcriptional output of several hundred genes, respectively. Mechanistic analyses taking proteomic, functional genomic and biochemical approaches discovered that PAF1C regulates transcriptional termination in part through recruiting PNUTS-PP1γ complex and facilitates Pol II transcriptional re-initiation through recruiting TOX4-PP1α complex. Moreover, Paf1 conditional knockout in mice severely blocks T cell development, increases cellular level of CTD phosphorylated Pol II, mainly decreases Pol II occupancy and transcriptional output in double positive T cells, and importantly, the regulation of re-initiation by PAF1C through TOX4-PP1α complex is conserved between mouse and human. Our results also suggest that PNUTS-PP1γ and TOX4-PP1α bind PAF1C to restrain Pol II elongation through chromatin. These findings not only establish PAF1C as a critical regulator of transcriptional termination and re-initiation besides elongation but also advanced current understanding of elongation.
This dataset
Open GSE188412 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 GSE188412_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 PRJNA778758 and SRA study SRP345062. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 conditions, mostly in duplicate
control for PAF1 data ser2p CUT&Tag ×5 LEO1 KO ser2p CUT&Tag ×4 control for PAF1 data PNUTS CUT&Tag ×4 LEO1 KO PNUTS CUT&Tag ×4 control for PAF1 data Pol II CUT&Tag ×3 control for PAF1 data ser5p CUT&Tag ×3 LEO1 KO Pol II CUT&Tag ×2 PNUTS KO Pol II CUT&Tag ×2 +22 more

Supports a between-group comparison across 71 samples.

How we read this: 30 replicated groups read from 71 sample titles; they account for 71 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

+ 31 more — browse all 71 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.