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Dynamic interaction between tentacle-tethered microdomains in Integrator and NELF regulates the promoter-proximal pause checkpoint [TTchem]

GSE318299 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2026/07/08 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 11 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
11 samples: 3 × TTchem, Parental_siCTRL vs 3 × TTchem, INTS12_WT_siINTS12_+DOX vs 3 × TTchem, INTS12_PHD_siINTS12_+DOX vs 2 × TTchem, Parental_siINTS12Groups 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)
NELF and Integrator are key regulators of promoter-proximal pausing and premature termination. Integrator subunit 12 (INTS12) contains a PHD domain within a flexible linker. While PHDs generally bind histones, we identify an interaction between the INTS12 PHD and a domain in the flexible C-terminal tentacle of NELF-A. Mutation of either domain disrupts the interaction, and although RNAPII-associated pausing complexes form, they are dysfunctional.
Read the full summary ↓
Importantly, upon NELF-A mutation, interactions of the Integrator-containing pausing complex with transcriptional activators become apparent that correlate with increased pause-escape. Indeed, while INTS12 PHD loss functionally mimics Integrator loss, NELF-A mutation mimics loss of NELF, although the RNAPII pause position does not change. This supports a model in which Integrator is an integral component of the promoter-proximal pausing complex, and where INTS12’s PHD either interacts with NELF-A to pause/terminate transcription or enables interaction with activators and positive transcription regulators to allow pause-escape.
This dataset
Open GSE318299 in finder → Find more human RNA-seq 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 GSE318299_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1418552 and SRA study SRP674395. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × TTchem, Parental_siCTRL vs 3 × TTchem, INTS12_WT_siINTS12_+DOX vs 3 × TTchem, INTS12_PHD_siINTS12_+DOX vs 2 × TTchem, Parental_siINTS12

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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
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