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TDP-43 loss induces cryptic polyadenylation in ALS/FTD [humphrey-i3-cortical]

GSE296714 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/30 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 6 × i3Neuron TDP-43 knockdown (30 days) - Control vs 6 × i3Neuron TDP-43 knockdown (30 days) - KnockdownGroups 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
TDP-43 loss induces cryptic polyadenylation in ALS/FTDNature neuroscience · 2025
Summary (written by the submitters)
Nuclear depletion and cytoplasmic aggregation of the RNA-binding protein TDP-43 is the hallmark of ALS, occurring in over 97% of cases. A key consequence of TDP-43 nuclear loss is the de-repression of cryptic exons. Whilst TDP-43 regulated cryptic splicing is increasingly well catalogued, cryptic alternative polyadenylation (APA) events, which define the 3’ end of last exons, have been largely overlooked, especially when not associated with novel upstream splice junctions.
Read the full summary ↓
We developed a bioinformatic pipeline to reliably identify distinct APA event types: alternative last exons (ALE), 3’UTR extensions (3’Ext) and ‘ composite ’ intronic polyadenylation (IPA) events. We identified novel neuronal cryptic APA sites induced by TDP-43 loss of function by systematically applying our pipeline to a compendium of publicly available and in house datasets. We find that TDP-43 binding sites and target motifs are enriched at these cryptic events and that TDP-43 can have both repressive and enhancing action on APA. Importantly, all categories of cryptic APA can also be identified in ALS and FTD post mortem brain regions with TDP-43 proteinopathy underlining their potential disease relevance. RNA-seq and Ribo-seq analyses indicate that distinct cryptic APA categories have different downstream effects on transcript and translation. Intriguingly, cryptic 3’Exts occur in multiple transcription factors, such as ELK1 , SIX3, and TLX1, and lead to an increase in RNA stability. 3’Exts are localised to the cytoplasm and neurites and translated leading to an increase in wild-type protein levels. In summary, we demonstrate that TDP-43 nuclear depletion induces a novel category of cryptic RNA processing events and we expand the palette of TDP-43 loss consequences by showing this can also lead to an increase in normal protein translation.
Published in
TDP-43 loss induces cryptic polyadenylation in ALS/FTD
Bryce-Smith S, Brown AL, Chien MZYJ et al. · Nature neuroscience 2025 · PMID 41120751 · doi:10.1038/s41593-025-02050-w
This dataset
Open GSE296714 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 GSE296714_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 PRJNA1256902 and SRA study SRP582221. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41120751) ↗
Study design
6 × i3Neuron TDP-43 knockdown (30 days) - Control vs 6 × i3Neuron TDP-43 knockdown (30 days) - Knockdown

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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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