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Intermittent Fasting Reprograms Chromatin Accessibility to Modulate Gene Expression in Brain and Muscle

GSE290224 Mus musculus (mouse) Single-cell RNA-seq 96 samples Submitted 2026/03/18 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 96 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
96 samples: 12 conditions, mostly with about 8 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
Uncovering shared and tissue-specific molecular adaptations to intermittent fasting in liver, brain, and muscleeLife · 2026
Summary (written by the submitters)
Intermittent fasting (IF), a dietary regimen that mimics the natural feeding patterns observed across diverse organisms—from single-celled life to mammals—is thought to activate systemic survival responses and confer health benefits. However, the molecular mechanisms underlying these effects remain poorly understood. In this study, we utilized ATAC-Seq and RNA-Seq to investigate how IF influences chromatin accessibility and gene expression in brain and muscle tissues of mice, compared to ad libitum feeding.
Read the full summary ↓
Our results reveal that IF induces significant changes in chromatin accessibility, modulating pathways related to metabolism, ribosome function, HIF-1 signaling, and glycolysis. Motif analysis identified tissue-specific transcription factors enriched in IF-regulated regions, including Sp1, Mef2a, NeuroD2, Banp, and NFIA in the brain, and SMAD4, TCF4, STAT5B, NKX3-1, and ZEB2 in muscle. Integrative analysis of ATAC-Seq and RNA-Seq data demonstrated that IF upregulates 50 genes and downregulates 15 in the cortex, while upregulating 31 genes and downregulating 10 in muscle. These gene expression changes are linked to pathways associated with neuroprotection and enhanced muscle function, offering mechanistic insights into the health benefits of IF. Our findings underscore the role of IF-induced chromatin remodeling in driving adaptive gene regulation.
Published in
Uncovering shared and tissue-specific molecular adaptations to intermittent fasting in liver, brain, and muscle
Fan Y, De Silva S, Tabassum NI et al. · eLife 2026 · PMID 41995076 · doi:10.7554/eLife.107332
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 GSE290224_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1226611 and SRA study SRP565540. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly with about 8 replicates each
Cortex,Ad_libtum,Male, ×8 Cortex,Intermittent_fasting,Male, ×8 Cortex,Ad_libtum,Female, ×8 Cortex,Intermittent_fasting,Female, ×8 Liver,Ad_libtum,Male, ×8 Liver,Intermittent_fasting,Male, ×8 Liver,Ad_libtum,Female, ×8 Liver,Intermittent_fasting,Female, ×8 +4 more

Supports a between-group comparison across 96 samples.

How we read this: 12 replicated groups read from 96 sample titles; they account for 96 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

+ 56 more — browse all 96 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.