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NAD+ controls circadian rhythmicity during cardiac aging

GSE240483 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/02/13 Platform GPL24247Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples
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(+) controls circadian rhythmicity during cardiac agingCommunications biology · 2026
Summary (written by the submitters)
Disruption of the circadian clock as well as reduced NAD+ levels are both hallmarks of aging. While circadian rhythms and NAD+ metabolism have been linked in heart disease, their relationship during cardiac aging is less clear. Here, we show that aging leads to disruption of diurnal gene expression in the heart. Long-term supplementation with the NAD+ precursor nicotinamide riboside (NR) boosts NAD+ levels, reprograms the diurnal transcriptome, and reverses naturally occurring cardiac enlargement in aged female mice.
Read the full summary ↓
In addition, drastic reduction of NAD+ levels in CMs impairs PER2::luc oscillations, which is rescued by NR supplementation. Finally, we demonstrate that changes to the cardiac transcriptome due to NR treatment partially depend on the activity of SIRT1. These findings reveal an essential role for NAD+ in regulation of the cardiac circadian clock upon aging, which opens up new avenues to counteract age-related cardiac disorders.
Published in
NAD(+) controls circadian rhythmicity during cardiac aging
Carpenter BJ, Lecacheur M, Mangold YN et al. · Communications biology 2026 · PMID 41813966 · doi:10.1038/s42003-026-09818-1
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 GSE240483_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 PRJNA1002243 and SRA study SRP454209. Searching any of these in the dataset finder brings you back here.

Samples in this study

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