← BioTransfer GEO Dataset Finder
GEO series

Genome-wide identification of endogenous NMD-targeted RNAs in human stem cells [UPF2_ESCs]

GSE263402 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/05/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 6 × Ctrl, ESC, vs 6 × UPF2_KD, ESC, vs 6 × UPF2_iKO, ESC, vs 6 × UPF2_iKO_KD, ESC,Groups 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
Cell type- and factor-specific nonsense-mediated RNA decayNucleic acids research · 2025
Summary (written by the submitters)
Nonsense-mediated RNA decay (NMD) is a highly conserved RNA turnover pathway that influences several biological processes. Specific features in messenger RNAs (mRNAs) have been found to trigger decay by NMD, leading to the assumption that NMD sensitivity is an intrinsic quality of a given transcript. Here, we provide evidence that, instead, an overriding factor dictating NMD sensitivity is the cell environment.
Read the full summary ↓
Using several genome-wide techniques to detect NMD-target mRNAs, we find that hundreds of mRNAs are sensitized to NMD as human embryonic stem cells progress to form neural progenitor cells. Another class of mRNAs escape from NMD during this developmental progression. We show that the differential sensitivity to NMD extends to in vivo scenarios, and that the RNA-binding protein, HNRNPL, has a role in cell type-specific NMD. We also addressed another issue in the field-whether NMD factors are core or branch-specific in their action. Surprisingly, we found that UPF3B, an NMD factor critical for the nervous system, shares only 30% of NMD-target transcripts with the core NMD factor UPF2. Together, our findings have implications for how NMD is defined and measured, how NMD acts in different biological contexts, and how different NMD branches influence human diseases.
Published in
Cell type- and factor-specific nonsense-mediated RNA decay
Tan K, Sebat J, Wilkinson MF · Nucleic acids research 2025 · PMID 40366162 · doi:10.1093/nar/gkaf395
This dataset
Open GSE263402 in finder → Find more human 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 GSE263402_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 ↗

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 PRJNA1097477 and SRA study SRP500250. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40366162) ↗
Study design
6 × Ctrl, ESC, vs 6 × UPF2_KD, ESC, vs 6 × UPF2_iKO, ESC, vs 6 × UPF2_iKO_KD, ESC,

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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

Search all human 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.