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Disruption of the Integrator complex triggers the Integrated Stress Response through formation of double-stranded RNA [RNAseq]

GSE267104 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2025/04/16 Platform GPL24676Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 17 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
17 samples: 3 × RNAseq_4h_INTS1_AID_Auxin_Plus vs 3 × RNAseq_12h_INTS1_AID_Auxin_Minus vs 3 × RNAseq_12h_INTS1_AID_Auxin_Plus vs 2 × RNAseq_4h_INTS1_AID_Auxin_MinusGroups 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
Integrator loss leads to dsRNA formation that triggers the integrated stress responseCell · 2025
Summary (written by the submitters)
Acute loss of INT induces transcription factors that initiate stress-responses like the Integrated Stress Response (ISR). Inefficient elongation upon INT loss enables termination in introns and dsRNA formation. dsRNA is recognized by PKR, which persistently activates the ISR in samples from patients with INT mutations
Published in
Integrator loss leads to dsRNA formation that triggers the integrated stress response
Baluapuri A, Zhao NC, Marina RJ et al. · Cell 2025 · PMID 40233738 · doi:10.1016/j.cell.2025.03.025
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 GSE267104_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: 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 PRJNA1109775 and SRA study SRP506759. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNAseq_4h_INTS1_AID_Auxin_Plus vs 3 × RNAseq_12h_INTS1_AID_Auxin_Minus vs 3 × RNAseq_12h_INTS1_AID_Auxin_Plus vs 2 × RNAseq_4h_INTS1_AID_Auxin_Minus

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 17 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
Datasets on a similar topic

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