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Functional inhibition of core spliceosomal machinery activates intronic premature cleavage and polyadenylation of pre-mRNAs

GSE250342 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/01/29 Platform GPL24676Platform GPL21273Platform GPL20795
At a glance

RNA-seq (gene expression) · mouse · 36 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
Mus musculus (mouse)
Samples
36 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.
Paper
Functional inhibition of core spliceosomal machinery activates intronic premature cleavage and polyadenylation of pre-mRNAsCell reports · 2025
Summary (written by the submitters)
To investigate the extent to which U6 inhibits premature cleavage and polyadenylation at the transcriptome level. we performed 3’-seq in control, U1 and U6-AMO treated sample using lexogen 3’-seq kit (Cat. 016.24) that could accurately quantify the global PAS usage. Indeed, we found both U1 and U6 could globally suppress intronic PCPA.
Published in
Functional inhibition of core spliceosomal machinery activates intronic premature cleavage and polyadenylation of pre-mRNAs
Feng Q, Lin Z, Zhao D et al. · Cell reports 2025 · PMID 40019833 · doi:10.1016/j.celrep.2025.115376
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 GSE250342_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 PRJNA1053390 and SRA study SRP478299. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 36 more — browse all 36 samples with per-sample file links →

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