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NAD+ precursors prolong survival and improve cardiac phenotypes in a mouse model of Friedreich’s Ataxia

GSE271798 Mus musculus (mouse) RNA-seq (gene expression) 50 samples Submitted 2024/08/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 50 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
50 samples: 12 conditions, mostly with about 5 replicates eachGroups 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+ precursors prolong survival and improve cardiac phenotypes in a mouse model of Friedreich's AtaxiaJCI insight · 2024
Summary (written by the submitters)
Friedreich’s ataxia (FRDA) is a progressive disorder caused by insufficient expression of frataxin, which plays a critical role in assembly of iron-sulfur centers in mitochondria. Individuals are cognitively normal, but display a loss of motor coordination and cardiac abnormalities. Many ultimately succumb to heart failure. Administration of nicotinamide adenine dinucleotide (NAD+) precursors has shown promise in mitochondrial myopathy and rodent models of heart failure, including mice lacking frataxin in cardiomyocytes.
Read the full summary ↓
We studied mice with systemic knockdown of frataxin (shFxn), which display motor deficits and early mortality with cardiac hypertrophy. Hearts in these mice do not “fail” per se but become hyperdynamic with small chamber sizes. Data from an ongoing natural history study indicate that hyperdynamic hearts are observed in young individuals with FRDA, suggesting that the mouse model could reflect early pathology. Administering nicotinamide mononucleotide or riboside to shFxn mice increases survival, modestly improves cardiac hypertrophy, and limits increases in ejection fraction. Mechanistically, most of the transcriptional and metabolic changes induced by frataxin knockdown are insensitive to NAD+ precursor administration, but glutathione levels are increased suggesting improved antioxidant capacity. Overall, our findings indicate that NAD+ precursors are modestly cardioprotective in this model of Friedreich’s Ataxia and warrant further investigation.
Published in
NAD+ precursors prolong survival and improve cardiac phenotypes in a mouse model of Friedreich's Ataxia
Perry CE, Halawani SM, Mukherjee S et al. · JCI insight 2024 · PMID 39171530 · doi:10.1172/jci.insight.177152
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 GSE271798_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 PRJNA1095513 and SRA study SRP499341. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly with about 5 replicates each
Tg_F_A ×5 Tg_NR_F_A ×5 Tg_NMN_F_A ×5 WT_F_A ×5 WT_B ×5 Tg_NR_B ×5 Tg_NMN_B ×5 WT_A ×4 +4 more

Supports a between-group comparison across 50 samples.

How we read this: 12 replicated groups read from 50 sample titles; they account for 50 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

+ 10 more — browse all 50 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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