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Environmental dose of Bisphenol S exposure to brown adipose tissue accelerates aging

GSE277525 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/09/20 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 15 samples, each with a distinct title — no replicated groupsGroups 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
Pathophysiologically relevant bisphenol S exposure accelerates aging by disrupting brown adipose tissue-regulated energy metabolismProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Bisphenol S (BPS), a common industrial chemical, is increasingly recognized for its potential to disrupt physiological functions even at environmental doses. In this study, we investigated the effects of BPS exposure on lifespan and health span using Caenorhabditis elegans and mouse models. We found that BPS accumulates in brown adipose tissue (BAT), inducing BAT aging by triggering mitochondrial dysfunction, chronic inflammation, altered intercellular communication, cellular senescence, deregulated nutrient-sensing pathways, impaired macroautophagy, and loss of proteostasis.
Read the full summary ↓
These changes accelerated aging in multiple organs, including the heart, liver, kidneys, lungs, and skeletal muscle. Notably, BAT transplantation experiments revealed that BAT from BPS-exposed mice induced accelerated aging in non-exposed mice, while BAT from non-exposed mice mitigated aging in BPS-exposed mice. In summary, this study is the first to demonstrate that environmental doses of BPS promote systemic aging by disrupting BAT energy metabolism.
Published in
Pathophysiologically relevant bisphenol S exposure accelerates aging by disrupting brown adipose tissue-regulated energy metabolism
Zhu M, Wang R, Yi W et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40455996 · doi:10.1073/pnas.2420437122
This dataset
Open GSE277525 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE277525_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1162646 and SRA study SRP533466. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40455996) ↗
Study design
15 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 15 sample titles: 15 distinct titles with little repetition. 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
Datasets on a similar topic

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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.