GEO series

Wildfire smoke particulate matter induces ovarian hyperandrogenism via aryl hydrocarbon receptor activation IV

GSE317185 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2026/02/16 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 11 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: 11 samples: 6 × LS-WFPM0.1 somatic cells vs 5 × Control somatic cellsGroups 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.

Summary (written by the submitters)

Wildfires have become more frequent and intense worldwide. Wildfire smoke particulate matter (WFPM) can be more toxic than urban background PM due to nanosized PM or WFPM0.1 and more polar organic compounds including polycyclic aromatic hydrocarbons (PAHs). While WFPM has been linked to cardiopulmonary diseases, its impact on female reproduction remains elusive.

Read the full summary ↓

Here, we used an in vivo mouse intratracheal exposure model and a 3D ovarian follicle culture system, together with molecular, transcriptomics, and computational analyses, to examine the effects of lab-synthesized (LS) and Canadian real-world WFPM0.1 (C- WFPM0.1) on ovarian functions. Intratracheal exposure to LS-WFPM0.1 disrupted estrous cycles and elevated serum estradiol and testosterone concentrations in young adult female mice. RT-qPCR and single-follicle RNA-sequencing (RNA-seq) analysis analysis revealed altered steroidogenic genes, transcriptomic changes, and activation of aryl hydrocarbon receptor (AhR) in antral follicles of from LS-WFPM0.1-treated mice. In vitro exposure revealed thatto LS-WFPM0.1 increased testosterone secretion and induced genes related to androgen synthesis and AhR. Single-follicle and single-oocyte RNA-seq analysis identified differentially expressed genes (DEGs) related to inflammation in somatic cells and mitochondria and cell cycle in oocytes. Both real-world C-WFPM0.1 from the 2023 Canadian wildfires and benzo[a]pyrene, a high molecule weight PAH, reproduced these ovarian defects caused by LS-WFPM0.1. Mechanistically, AhR inhibition reversed hyperandrogenism induced by WFPM0.1. Together, our findings demonstrate that PAH-containing WFPM0.1 perturbs ovarian steroidogenesis and induces hyperandrogenism through AhR activation. These results are crucial for developing strategies to protect women’s reproductive health and tailor guidelines for women seeking for infertility treatment during wildfire seasons.

This dataset

Open GSE317185 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 GSE317185_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 PRJNA1406232 and SRA study SRP665266. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

6 × LS-WFPM0.1 somatic cells vs 5 × Control somatic cells

Supports a between-group comparison across 11 samples.

How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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

GSM9466644 Control somatic cells 1 Control somatic cells
GSM9466645 Control somatic cells 2 Control somatic cells
GSM9466646 Control somatic cells 3 Control somatic cells
GSM9466647 Control somatic cells 4 Control somatic cells
GSM9466648 Control somatic cells 5 Control somatic cells
GSM9466649 LS-WFPM0.1 somatic cells 1 LS-WFPM0.1 somatic cells
GSM9466650 LS-WFPM0.1 somatic cells 2 LS-WFPM0.1 somatic cells
GSM9466651 LS-WFPM0.1 somatic cells 3 LS-WFPM0.1 somatic cells
GSM9466652 LS-WFPM0.1 somatic cells 4 LS-WFPM0.1 somatic cells
GSM9466653 LS-WFPM0.1 somatic cells 5 LS-WFPM0.1 somatic cells
GSM9466654 LS-WFPM0.1 somatic cells 6 LS-WFPM0.1 somatic cells

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