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RNA-DNA hybrids formed in the absence of Senataxin drive non-coding RNA expression and protein aggregation in the nucleolus

GSE240664 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 17 samples Submitted 2024/05/06 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 17 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
17 samples: 5 conditions, mostly in triplicateGroups 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
Senataxin deficiency disrupts proteostasis through nucleolar ncRNA-driven protein aggregationThe Journal of cell biology · 2024
Summary (written by the submitters)
Neurodegeneration in the human population is often associated with loss of protein homeostasis that is driven by accumulation of specific aggregated proteins. Here we investigate whether deficiency in Senataxin, an RNA-DNA helicase associated with cerebellar ataxia and ALS, induces destabilization of intrinsically disordered proteins as we previously found with Ataxia-telangiectasia (A-T) cells and tissue.
Read the full summary ↓
We find that Senataxin loss does generate protein aggregates but, unlike in A-T, these are associated with the nucleolus and are independent of oxidative stress and PARP activity. Non-coding RNA expression from the intergenic spacer region of ribosomal DNA is induced in the absence of Senataxin and drives the association and aggregation of many proteins known to be prone to aggregation in neurodegenerative disease. Both non-coding RNAs and protein aggregates are eliminated by overexpression of RNaseH1, implicating RNA-DNA hybrids as the key driver of these outcomes. We find that hybrids are high in the absence of Senataxin at intergenic sites, not at annotated protein-coding genes; these include sites of Senataxin binding in the genome, ribosomal DNA, and peri-centromeric regions. These findings suggest that destabilization of the proteome is driven by Senataxin loss and that RNA-DNA hybrids and non-coding RNAs play a critical role in this process.
Published in
Senataxin deficiency disrupts proteostasis through nucleolar ncRNA-driven protein aggregation
Wen X, Xu H, Woolley PR et al. · The Journal of cell biology 2024 · PMID 38717338 · doi:10.1083/jcb.202309036
This dataset
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.

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 GSE240664_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1004589 and SRA study SRP454675. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
TGIRT RNAseq control ×3 TGIRT RNAseq shSETX ×3 TGIRT RNAseq SETX KO ×3 R-ChIP control ×2 R-ChIP SETX KO ×2 control rep1 input ×1 control rep2 input ×1 SETX KO rep1 input ×1 +1 more

Supports a between-group comparison across 13 samples.

How we read this: 5 replicated groups read from 17 sample titles; they account for 13 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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