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RBM39 Modulates UPR Signaling Through Alternative Splicing of IRE1α/ERN1 [Spliceosome_Knockdown_RNA-Seq]

GSE312841 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2026/04/27 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 8 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)
The unfolded protein response (UPR) preserves endoplasmic reticulum proteostasis through coordinated signaling pathways, including the IRE1α-XBP1 axis, which promotes adaptive transcriptional programs via non-canonical XBP1 mRNA splicing. However, upstream mechanisms regulating this pathway remain incompletely defined. Here, we apply CRASP-Seq, a scalable RNA-coupled CRISPR screening platform, to systematically identify regulators of XBP1 splicing.
Read the full summary ↓
We uncover the U2 snRNP auxiliary factor RBM39 as a critical positive regulator of this process. Perturbation of RBM39 or U2 snRNP components induces alternative splicing of ERN1, leading to exon-18 skipping and the production of an unstable transcript subject to nonsense-mediated decay, as well as a truncated IRE1α isoform that acts in a dominant-negative manner to suppress XBP1 splicing. Mechanistically, we show that heat shock reduces RBM39 functional activity and promotes ERN1 exon-18 skipping, thereby attenuating IRE1α–XBP1 signaling. Functionally, hyperactivation of this pathway is detrimental under proteotoxic stress, suggesting that exon-18 skipping serves as a stress-adaptive mechanism to limit UPR output. Together, our findings reveal a previously unrecognized regulatory axis linking the canonical splicing machinery to UPR signaling and establish alternative splicing of ERN1 as a key modulator of cellular stress responses.
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 GSE312841_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 PRJNA1377497 and SRA study SRP653295. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in duplicate
mRNA-Seq of HAP1 cells with siCTL DMSO ×2 mRNA-Seq of HAP1 cells with siRBM39 DMSO ×2 mRNA-Seq of HAP1 cells with siSF3B1 DMSO ×2 mRNA-Seq of HAP1 cells with siSF3B3 DMSO ×2 mRNA-Seq of HAP1 cells with siCTL Tunicamycin ×2 mRNA-Seq of HAP1 cells with siRBM39 Tunicamyc… ×2 mRNA-Seq of HAP1 cells with siSF3B1 Tunicamyc… ×2 mRNA-Seq of HAP1 cells with siSF3B3 Tunicamyc… ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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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