← BioTransfer GEO Dataset Finder
GEO series

Mechanisms linking cytoplasmic decay of translation-defective mRNA to transcriptional adaptation [RNA-seq]

GSE256099 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2026/02/18 Platform GPL24247
Summary
Transcriptional adaptation (TA) is a genetic robustness mechanism through which mutant mRNA decay induces sequence-dependent upregulation of so-called adapting genes. How cytoplasmically generated mRNA fragments impact nuclear transcription remains poorly understood. Using genome-wide CRISPR screens, we uncover ILF3 as an RNA-binding protein connecting cytoplasmic mRNA decay and transcription during TA, and show it is required for a range of TA substrates. ILF3 is enriched at adapting genes’ RNAs, and its artificial recruitment via dCas13 promotes gene expression. Using tiling oligonucleotide screens, we identify trigger RNA fragments that activate adapting genes when introduced into cells. Further functional dissection reveals critical role for homology between trigger and target sequences. These findings enhance our molecular understanding of TA and inform design of programmable oligonucleotides for gene expression augmentation.
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
Download

Direct links to NCBI, no account and no request form: the whole study as GSE256099_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1078247 and SRA study SRP490423. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all mouse 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.