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Exposure of male mice to nicotine leads to metabolic dysfunction in their male and female offspring

GSE313674 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/03/18 Platform GPL34475
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 40 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
Exposure of male mice to nicotine leads to metabolic dysfunction in their male and female offspringJournal of the Endocrine Society · 2026
Summary (written by the submitters)
Paternal exposure to nicotine has been linked to altered metabolic phenotypes in offspring, yet the underlying mechanisms and sex-specific outcomes remain elusive. In this study, we investigated the effects of paternal nicotine exposure on glucose metabolism, and adipose tissue and liver transcriptomic profiles in male and female offspring.
Read the full summary ↓
Despite no differences in body weight during early postnatal life, female offspring displayed lower fasting glucose and reduced glucose levels during glucose tolerance tests, without alterations in insulin sensitivity. These effects were accompanied by decreased circulating insulin and upregulation of genes involved in the insulin signaling pathway in gonadal white adipose tissue (gWAT), consistent with enhanced glucose uptake capacity. In contrast, male offspring showed no overt changes in glucose tolerance or insulin sensitivity, despite reduced plasma insulin and glucagon levels. In male offspring, liver transcriptomic analyses revealed downregulation of glucagon signaling, insulin resistance, and PPARα pathways, suggesting impaired fasting adaptation and reduced hepatic catabolic capacity. Collectively, these findings demonstrate that paternal nicotine exposure induces sex-dependent metabolic reprogramming, with pronounced effects on glucose homeostasis in females and transcriptional signatures of reduced fasting resilience in males. These results identify the liver and adipose tissue as key targets of paternal nicotine exposure in the offspring and underscore the need for longitudinal studies to determine whether these alterations predispose offspring to metabolic disease across the lifespan
Published in
Exposure of male mice to nicotine leads to metabolic dysfunction in their male and female offspring
Aguiar S, Natividad T, Davis D et al. · Journal of the Endocrine Society 2026 · PMID 41836600 · doi:10.1210/jendso/bvag033
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 GSE313674_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 PRJNA1380510 and SRA study SRP654921. Searching any of these in the dataset finder brings you back here.

Study design
40 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 40 sample titles: 40 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
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