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A hexamer tandem repeat RNA embedded within an SVA retrotransposon drives R-loop formation and neurodegeneration

GSE289534 Homo sapiens (human) RNA-seq (gene expression) 41 samples Submitted 2025/05/17 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 41 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
41 samples: 41 samples, each with a distinct title — no replicated groupsGroups 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
A hexamer tandem repeat RNA embedded within an SVA retrotransposon drives R-loop formation and neurodegenerationCell reports · 2025
Summary (written by the submitters)
Retroelement activation is emerging as a significant factor in the pathogenesis of neurodegenerative diseases. SINE-VNTR-Alu (SVAs) are hominid-specific retroelements that create genetic variation through insertion polymorphisms and variable short tandem repeat (STR) lengths. We investigate how the SVA (CCCTCT)n STR contributes to the striatal neurodegenerative disorder X-linked Dystonia Parkinsonism (XDP), where the repeat expansion length within the pathogenic SVA is inversely correlated with disease onset age.
Read the full summary ↓
Phenotypic and transcriptomic analysis of XDP and isogenic SVA-deleted striatal organoids revealed that the SVA insertion drives hallmarks of neurodegeneration, including transcriptional dysregulation, decreased neuronal activity, and apoptosis, which are ameliorated by SVA deletion. We identify a (AGAGGG)n hexamer-containing RNA in the SVA that increases expression during organoid maturation and drives R-loop formation in organoids and XDP brain tissue. Knockdown of the (AGAGGG)n hexamer-containing RNA by antisense oligonucleotides rescues apoptosis in the XDP organoids. We demonstrate that a retrotransposon-derived tandem repeat RNA could cause neurodegeneration.
Published in
A hexamer tandem repeat RNA embedded within an SVA retrotransposon drives R-loop formation and neurodegeneration
D'Ignazio L, Lorenzetti APR, Penney EB et al. · Cell reports 2025 · PMID 40540399 · doi:10.1016/j.celrep.2025.115812
This dataset
Open GSE289534 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 GSE289534_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 PRJNA1223395. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40540399) ↗
Study design
41 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 3 samples read as cases, 12 as controls.

How we read this: Read from 41 sample titles: 41 distinct titles with little repetition. 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

+ 1 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.