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Diet-induced obesity dysregulates rapid epigenetic response to hypoxia in macrophages (RNA-Seq)

GSE231992 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/05 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × HFD_normoxia vs 3 × ND_normoxia vs 3 × HFD_hypoxia vs 3 × ND_hypoxiaGroups 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
Obesity Disrupts H3K4me3-Mediated Lactate Accumulation and Efferocytosis in Hypoxic MacrophagesFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
Summary (written by the submitters)
Macrophages play important roles in tissue homeostasis and tissue healing process. The response to hypoxic environment is a trigger to induce key signaling pathways in macrophages. Functions of macrophages are dysregulated in metabolic diseases such as diabetes and obesity resulting in poor tissue healing. Epigenetic status including histone modification in macrophages is regulated by hypoxia.
Read the full summary ↓
However, whether and how obesity influences histone modification under hypoxia is unknown. Using chromatin immunoprecipitation-sequencing (ChIP-seq), RNA-seq on mouse bone marrow-derived macrophages, we sought to determine whether hypoxia alters histone 3-lysine 4 trimethylation (H3K4me3) and gene expression profile in macrophages and how obesity influences H3K4me3 enrichment on the genome in hypoxia-dependent and -independent manner.
Published in
Obesity Disrupts H3K4me3-Mediated Lactate Accumulation and Efferocytosis in Hypoxic Macrophages
Takahashi K, Drolet J, Liu J et al. · FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2026 · PMID 41906552 · doi:10.1096/fj.202502626R
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 GSE231992_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 PRJNA970373 and SRA study SRP436525. Searching any of these in the dataset finder brings you back here.

Study design
3 × HFD_normoxia vs 3 × ND_normoxia vs 3 × HFD_hypoxia vs 3 × ND_hypoxia

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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