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2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunction

GSE271207 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/05/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × WT vs 4 × KO vs 4 × AKO vs 4 × BKOGroups 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
2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunctionNature metabolism · 2025
Summary (written by the submitters)
This study reports accumulation of larger lipid droplets in an adipocyte specific manner upon loss of CLPP. The mitochondria in KO BAT have mild respiratory chain deficiency but no difference in respiratory output at tissue and cellular level. Omics analysis reveals that loss of CLPP leads to tissue remodeling, and is accompanied by pertinent cytoskeletal changes.
Read the full summary ↓
The metabolite, 2-hydroxyglutarate accumulates in KO tissue and cells and is possibly produced by the moonlighting function of PHGDH. We further identify 2-HG H3K4me3 methylation changes in epigenome being likely contributing to larger lipid droplets. The study also reports that 2HG mediated whitning is coupled to nuclear softening and changes in nuclear mechanics.
Published in
2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunction
Kaul H, Isermann L, Senft K et al. · Nature metabolism 2025 · PMID 40750944 · doi:10.1038/s42255-025-01332-8
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 GSE271207_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 PRJNA1130460 and SRA study SRP517286. Searching any of these in the dataset finder brings you back here.

Study design
4 × WT vs 4 × KO vs 4 × AKO vs 4 × BKO

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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