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Hepatic transcriptomic changes with subchronic exposure to a dioxin mixture

GSE327003 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2026/07/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 samples: 8 conditions, mostly with about 6 replicates eachGroups 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
Subchronic low dose dioxin exposure disrupts hepatic and metabolic homeostasis in a sex- and diet-dependent mannerCurrent research in toxicology · 2026
Summary (written by the submitters)
In this study, the primary focus was to determine changes in hepatic gene expression with exposure to a mixture of dioxins and dioxin-like compounds. This study addresses a critical knowledge gap by investigating sex-dependent effects from low-dose exposure to a mixture of dioxin and dioxin-like compounds in the context of sex differences and dietary patterns.
Published in
Subchronic low dose dioxin exposure disrupts hepatic and metabolic homeostasis in a sex- and diet-dependent manner
Bolatimi OE, Hua Y, Phillips GJ et al. · Current research in toxicology 2026 · PMID 42381713 · doi:10.1016/j.crtox.2026.100311
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 GSE327003_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 PRJNA1448093 and SRA study SRP689245. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 6 replicates each
Male Low Fat Diet Control ×6 Male Low Fat Diet Dioxin-Exposed ×6 Female Low Fat Diet Control ×6 Female Low Fat Diet Dioxin-Exposed ×6 Male High Fat Diet Control ×6 Male High Fat Diet Dioxin-Exposed ×6 Female High Fat Diet Control ×6 Female High Fat Diet Dioxin-Exposed ×6

Supports a between-group comparison across 48 samples.

How we read this: 8 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.