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HIF1α Mediates Circadian Regulation of Skeletal Muscle Metabolism and Substrate Preference in Response to Time-of-Day Exercise

GSE282641 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2025/06/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 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
HIF1α mediates circadian regulation of skeletal muscle metabolism and substrate preference in response to time-of-day exerciseProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
The regulation of metabolism in peripheral tissues is mediated by pathways that are under circadian control. a bidirectional relationship is evident between the circadian clock and hypoxia-inducible factor-1 α (HIF1α), which is specific to time-of-day exercise. To elucidate the role of HIF1α in driving the divergences in the systemic and skeletal muscle metabolic responses to exercise, a skeletal muscle-specific HIF1α knockout (KO) mouse model was generated.
Read the full summary ↓
Metabolic phenotyping alongside global transcriptomic profiling was conducted under basal conditions or in response to an acute exercise bout in HIF1α KO and wild-type (WT) mice at the early rest phase (ZT3) or early active phase (ZT15). Our findings demonstrate that HIF1α is dispensable for the metabolic response to exercise at ZT15, but required for an elevation in glycolytic metabolism in response to exercise at ZT3. Specifically, the loss of HIF1α alters the fate of glucose with a shift towards mannose-6-phosphate production observed at ZT3. In addition, the loss of HIF1α alters the transcriptional profile of skeletal muscle specifically at ZT3 with a shift towards oxidative metabolism. HIF1α contributes to regulating the time-of-day exercise response by driving a shift in substrate preference primarily towards glucose oxidation while sparing fatty acid oxidation. This comprehensive metabolic phenotyping of HIF1α KO mice demonstrates that the contribution of HIF1α to the regulation of time-of-day metabolism is dependent on metabolic status and energetic stressors.
Published in
HIF1α mediates circadian regulation of skeletal muscle metabolism and substrate preference in response to time-of-day exercise
Ehrlich AM, MacGregor KA, Ashcroft SP et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40627397 · doi:10.1073/pnas.2504080122
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 GSE282641_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 PRJNA1189524 and SRA study SRP547036. Searching any of these in the dataset finder brings you back here.

Samples in this study

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