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Preconception exposures of female mice to a panel of metabolic disruptors induce sexually dimorphic metabolic perturbations in their offspring

GSE324852 Mus musculus (mouse) RNA-seq (gene expression) 100 samples Submitted 2026/03/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 100 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
100 samples: 20 conditions, mostly with about 5 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
Preconception exposures of female mice to a panel of metabolic disruptors induce sexually dimorphic metabolic perturbations in their offspringFrontiers in endocrinology · 2026
Summary (written by the submitters)
In recent years, there has been a growing emphasis on research investigating the transmission across generations of the effects of exposure to environmental factors, which may predispose to chronic diseases. It has been hypothesized that the propagation of such effects is mediated by alterations in gene regulatory elements, such as DNA methylation, histone modifications, and non-coding RNAs.
Read the full summary ↓
Studies in Drosophila and mice have demonstrated that the compartmentalization of eukaryotic genomes into heterochromatin and euchromatin can mediate multigenerational metabolism-disrupting effects elicited by exposure to various metabolism disruptors. These findings suggest that eukaryotic nuclear genomes may possess the capacity to integrate the impact of environmental cues in a metastable manner that is phenotypically relevant. Here, we present the results of a murine model to assess whether preconception exposure to three metabolism disruptors of distinct nature, including dietary factors and environmental toxicants, intended to emulate the complexity of human exposures, results in metabolic alterations in the offspring of exposed individuals. Our findings align with our central hypothesis but also open an unexpected avenue to explore whether preconception exposure to metabolism disruptors predisposes the offspring of exposed individuals to not only typical metabolic diseases such as obesity but also to complex metabolic-psychiatric conditions such as anorexia.
Published in
Preconception exposures of female mice to a panel of metabolic disruptors induce sexually dimorphic metabolic perturbations in their offspring
Diaz-Castillo C, Aguiar SR, Chamorro-Garcia R · Frontiers in endocrinology 2026 · PMID 42006268 · doi:10.3389/fendo.2026.1787973
This dataset
Open GSE324852 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 GSE324852_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 PRJNA1437914 and SRA study SRP683955. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42006268) ↗
Study design
20 conditions, mostly with about 5 replicates each
GWAT_female_50TBT ×5 GWAT_female_5TBT ×5 GWAT_female_DMSO ×5 GWAT_female_IAS ×5 GWAT_female_TWD ×5 GWAT_male_50TBT ×5 GWAT_male_5TBT ×5 GWAT_male_DMSO ×5 +12 more

Supports a between-group comparison across 100 samples.

How we read this: 20 replicated groups read from 100 sample titles; they account for 100 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

+ 60 more — browse all 100 samples with per-sample file links →

Datasets on a similar topic

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