← BioTransfer GEO Dataset Finder
GEO series

NAD+ - and EVA1-C-dependent reversal of neurological deficits is mediated by differential alternative RNA splicing in tauopathic animal models

GSE279334 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/10/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × WT vs 4 × WT_N vs 4 × Tau vs 4 × Tau_NGroups 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
NAD(+) reverses Alzheimer's neurological deficits via regulating differential alternative RNA splicing of EVA1CScience advances · 2025
Summary (written by the submitters)
Aberrant alternative splicing events (ASEs) are emerging as a new hallmark of aging and are linked to age-related neurodegenerative pathologies such as Alzheimer’s disease (AD). AD brains are characterized by abundant intracellular proteinaceous aggregates, including neurofibrillary tangles (NFTs). Although NAD+ and related metabolites can slow down AD progression, the effects of NAD+ on ASEs in AD remain unclear.
Read the full summary ↓
This study investigates the relationships between NAD+ metabolism, ASEs and AD or AD-like pathologies including tauopathies using deep-learning AI-based algorithms to predict protein structures and protein-protein interactions as well as experimental tauopathy models including hTau.P301S transgenic mice and transgenic hTau[P301L] Caenorhabditis elegans. Mouse transcriptomic data were mined to detect ASEs that were differentially induced in the presence of NAD+ precursor nicotinamide riboside (NR) with specific focus on the Eva1-C locus. The results reveal that the relative abundance of Eva1-C isoforms is sensitive to both the concentration of NR and to tauopathy genotype. NAD+ abundance/metabolic status modulates ASEs and the expression of EVA1-C isoforms, which in turn regulate the interaction with the key proteins, BAG-1 and HSP70, involved in orchestrating protein homeostasis. Importantly, EVA1-C is dramatically reduced in the postmortem entorhinal cortex and hippocampal neurons from 20 Braak 5/6 AD patients compared to 20 of cognitive normal humans. Thus, this study supports the novel idea that NAD+ metabolism modulates abundance of specific mRNA isoforms, and that ASEs influence disease progression in model tauopathies and potentially AD. These results could facilitate future development of NAD+-based splice-switching therapeutics for AD.
Published in
NAD(+) reverses Alzheimer's neurological deficits via regulating differential alternative RNA splicing of EVA1C
Ai R, Mao L, Jin X et al. · Science advances 2025 · PMID 41202143 · doi:10.1126/sciadv.ady9811
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 GSE279334_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: 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 PRJNA1171884 and SRA study SRP538025. Searching any of these in the dataset finder brings you back here.

Study design
4 × WT vs 4 × WT_N vs 4 × Tau vs 4 × Tau_N

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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 mouse 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.