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Mechanisms linking cytoplasmic decay of translation-defective mRNA to transcriptional adaptation

GSE256101 Mus musculus (mouse) Non-coding RNA profiling 53 samples Submitted 2026/02/18 Platform GPL24247Platform GPL24676
At a glance

Non-coding RNA profiling · mouse · 53 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
53 samples: 22 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.
Paper
Mechanisms linking cytoplasmic decay of translation-defective mRNA to transcriptional adaptationScience (New York, N.Y.) · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Mechanisms linking cytoplasmic decay of translation-defective mRNA to transcriptional adaptation
El-Brolosy MA, Oak A, Hoang AT et al. · Science (New York, N.Y.) 2026 · PMID 41678638 · doi:10.1126/science.aea1272
This dataset
Open GSE256101 in finder → Find more 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 GSE256101_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 ↗

Also filed as BioProject PRJNA1078236 and SRA study SRP490443. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41678638) ↗
Study design
22 conditions, mostly in duplicate
WT_gRNA_10x ×3 WT_gene_10x ×3 WT-batch1 ×3 WT ILF3 crosslinked RIP ×3 Actg1 NSD crosslinked RIP ×3 WT crosslinked input ×3 Actg1 crosslinked input ×3 GFP-2A-RFP ×3 +14 more

Supports a between-group comparison across 53 samples.

How we read this: 22 replicated groups read from 53 sample titles; they account for 53 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

+ 13 more — browse all 53 samples with per-sample file links →

Datasets on a similar topic

Search all RNA-seq 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.