Aberrant splicing in Huntington’s disease accompanies disrupted TDP-43 activity and altered m6A RNA modifications
RNA-seq (gene expression) · mouse · 60 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
- Mus musculus (mouse)
- Samples
- 60 samples: 52 distinct titles, 4 of them repeatedGroups 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
- Aberrant splicing in Huntington's disease accompanies disrupted TDP-43 activity and altered m6A RNA modificationNature neuroscience · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE278354_RAW.tar (it can run to tens of gigabytes).
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: 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 PRJNA1166871 and SRA study SRP535566. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 60 sample titles: 52 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.
- GSM8545248 Male 3mos Striatum NT 1 total RNA-seq
- GSM8545249 Male 3mos Striatum NT 2 total RNA-seq
- GSM8545250 Male 3mos Striatum NT 3 total RNA-seq
- GSM8545251 Male 3mos Striatum NT 4 total RNA-seq
- GSM8545252 Male 3mos Striatum NT 5 total RNA-seq
- GSM8545253 Male 3mos Striatum R62 1 total RNA-seq
- GSM8545254 Male 3mos Striatum R62 2 total RNA-seq
- GSM8545255 Male 3mos Striatum R62 3 total RNA-seq
- GSM8545256 Male 3mos Striatum R62 4 total RNA-seq
- GSM8545257 Male 3mos Striatum R62 5 total RNA-seq
- GSM8545258 Male 3mos Cortex NT 1 total RNA-seq
- GSM8545259 Male 3mos Cortex NT 2 total RNA-seq
- GSM8545260 Male 3mos Cortex NT 3 total RNA-seq
- GSM8545261 Male 3mos Cortex NT 4 total RNA-seq
- GSM8545262 Male 3mos Cortex NT 5 total RNA-seq
- GSM8545263 Male 3mos Cortex R62 1 total RNA-seq
- GSM8545264 Male 3mos Cortex R62 2 total RNA-seq
- GSM8545265 Male 3mos Cortex R62 3 total RNA-seq
- GSM8545266 Male 3mos Cortex R62 4 total RNA-seq
- GSM8545267 Male 3mos Cortex R62 5 total RNA-seq
- GSM8545268 Female 3mos Striatum NT 1 total RNA-seq
- GSM8545269 Female 3mos Striatum NT 2 total RNA-seq
- GSM8545270 Female 3mos Striatum NT 3 total RNA-seq
- GSM8545271 Female 3mos Striatum NT 4 total RNA-seq
- GSM8545272 Female 3mos Striatum NT 5 total RNA-seq
- GSM8545273 Female 3mos Striatum R62 1 total RNA-seq
- GSM8545274 Female 3mos Striatum R62 2 total RNA-seq
- GSM8545275 Female 3mos Striatum R62 3 total RNA-seq
- GSM8545276 Female 3mos Striatum R62 4 total RNA-seq
- GSM8545277 Female 3mos Striatum R62 5 total RNA-seq
- GSM8545278 Female 3mos Cortex NT 1 total RNA-seq
- GSM8545279 Female 3mos Cortex NT 2 total RNA-seq
- GSM8545280 Female 3mos Cortex NT 3 total RNA-seq
- GSM8545281 Female 3mos CortexNT 4 total RNA-seq
- GSM8545282 Female 3mos Cortex NT 5 total RNA-seq
- GSM8545283 Female 3mos Cortex R62 1 total RNA-seq
- GSM8545284 Female 3mos Cortex R62 2 total RNA-seq
- GSM8545285 Female 3mos Cortex R62 3 total RNA-seq
- GSM8545286 Female 3mos Cortex R62 4 total RNA-seq
- GSM8545287 Female 3mos Cortex R62 5 total RNA-seq
+ 20 more — browse all 60 samples with per-sample file links →
- GSE86336 m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover 20 samples shares modifications, splicing
- GSE40653 Divergent roles of ALS-linked proteins FUS/TLS and TDP-43 intersect in processing long pre-mRNAs 34 samples shares tdp-43
- GSE232637 Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenetic maintenance 42 samples shares modifications
- GSE255572 Chromatin remodeler CHD7 regulates neurogenic gene expression via controlling chromatin accessibility and modifications of histone marks H3K27me3 and H3K4me3 34 samples shares modifications
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.