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Early-life ketone body signaling promotes beige fat biogenesis through changes in histone acetylome and β-hydroxybutyrylome [scRNA-seq]

GSE268811 Mus musculus (mouse) Single-cell RNA-seq 1 samples Submitted 2025/07/22 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 1 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
1 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
Early-life ketone body signalling promotes beige fat biogenesis through changes in histone acetylome and β-hydroxybutyrylomeNature metabolism · 2025
Summary (written by the submitters)
Infants experience distinct ketogenesis during the preweaning period, but its physiological significance remains unclear. Here, we show that preweaning ketosis enhances beige fat biogenesis and improves metabolic health in adulthood. To elucidate the underlying mechanisms, we performed multi-omics analyses of inguinal white adipose tissue (iWAT) and its stromal vascular fraction (SVF).
Read the full summary ↓
Bulk RNA-seq of iWAT was conducted in 8-week-old Hmgcs2 knockout (KO) and control mice housed at room temperature (23 °C) or exposed to cold (4 °C). To further examine the effects of elevated ketosis, we administered oral 1,3-butanediol (1,3BD) or water to pups from postnatal day 2 to 21, and analyzed the iWAT SVF using bulk RNA-seq, single-cell RNA-seq, and ChIP-seq targeting H3K9ac, H3K14ac, and H3K9bhb. These integrative analyses reveal how early-life ketosis programs adipose progenitors to promote beige adipocyte development.
Published in
Early-life ketone body signalling promotes beige fat biogenesis through changes in histone acetylome and β-hydroxybutyrylome
Jiang CL, Lai PH, Yang PC et al. · Nature metabolism 2025 · PMID 41068421 · doi:10.1038/s42255-025-01378-8
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 GSE268811_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 PRJNA1118783 and SRA study SRP511104. Searching any of these in the dataset finder brings you back here.

Samples in this study

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