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Genomic Convergence in Hibernating Mammals Elucidates the Genetics of Metabolic Regulation in the Hypothalamus [snRNAseq]

GSE295856 Mus musculus (mouse) Single-nucleus RNA-seq 13 samples Submitted 2025/08/04 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 13 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Mus musculus (mouse)
Samples
13 samples: 3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus Fed vs 3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus Fasted vs 3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus RefedGroups 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
Genomic convergence in hibernating mammals elucidates the genetics of metabolic regulation in the hypothalamusScience (New York, N.Y.) · 2025
Summary (written by the submitters)
Extreme metabolic adaptations can elucidate genetic programs governing mammalian metabolism. Here we used convergent evolutionary changes in hibernating lineages to define conserved cis-regulatory elements (CREs) and metabolic programs. We characterized mouse hypothalamus gene expression and chromatin dynamics across fed, fasted, and refed states, then used comparative genomics of hibernating versus non-hibernating lineages to identify cis-elements with convergent changes in hibernators.
Read the full summary ↓
Multi-omics approaches pinpointed CREs, hub genes, regulatory programs, and cell types underlying lineage divergence. Hibernators accumulated loss-of-function effects for CREs regulating hypothalamic responses, and the refeeding period after fasting served as a key phase for molecular processes with convergent evolutionary changes. This work provides a genetic framework for harnessing hibernator adaptations to understand human metabolic control. Convergent signals define cis-regulatory mechanisms behind food scarcity responses and hibernator-homeotherm divergence.
Published in
Genomic convergence in hibernating mammals elucidates the genetics of metabolic regulation in the hypothalamus
Ferris E, Gonzalez Murcia JD, Rodriguez AC et al. · Science (New York, N.Y.) 2025 · PMID 40743333 · doi:10.1126/science.adp4025
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 GSE295856_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 PRJNA1238491 and SRA study SRP571763. Searching any of these in the dataset finder brings you back here.

Study design
3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus Fed vs 3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus Fasted vs 3 × snRNA-seq for fed, fasted, or refed mouse hypothalamus Refed

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 13 sample titles; they account for 9 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
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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.