← BioTransfer GEO Dataset Finder
GEO series

Sex and tissue resolved co-expression networks reveal a female placental–brain axis protective against prenatal PCB exposure

GSE315769 Mus musculus (mouse) RNA-seq (gene expression) 192 samples Submitted 2026/03/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 192 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
192 samples: 60 conditions, mostly in triplicateGroups 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)
Background: Neurodevelopmental disorders have a strong male bias that is poorly understood, Placenta is a rich source of molecular information about environmental interactions with genetics (including biological sex), that affect the developing brain. We investigated placentalbrain transcriptional responses in an established mouse model of human-relevant prenatal exposure to polychlorinated biphenyls (PCBs).
Read the full summary ↓
Results: To understand sex, tissue, and dosage effects in embryonic (E18) brain and placenta RNAseq datasets, we used weighted gene correlation network analysis (WGCNA) to create correlated gene networks that could be compared across sex or tissue. WGCNA revealed that expression within most correlated gene networks were significantly and strongly associated with PCB exposures, but frequently in opposite directions between male-female and placenta-brain comparisons. In both WGCNA and differentially expressed gene analyses, male brain showed more PCB-induced transcriptional changes than male placenta, but the reverse pattern was seen in females. Furthermore, non-monotonic dose responses to PCBs were observed in most gene networks, but were most prominent in male brain. The transcriptomic effects of low dose PCB exposure were significantly reversed by dietary folic acid supplementation across both sexes, but these effects were strongest in female placenta. PCB-dysregulated and folic acid reversed gene networks were commonly enriched in functions in metabolic pathways involved in energy usage and translation, with female-specific protective effects enriched in PPAR, thermogenesis, glycerolipids, and O-glycan biosynthesis, as opposed to toxin responses in male brain. Conclusions: The female protective effect in prenatal PCB exposures appears to be mediated by dose-dependent sex differences in transcriptional modulation of metabolism in placenta.
This dataset
Open GSE315769 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 GSE315769_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 PRJNA1398930 and SRA study SRP660093. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
60 conditions, mostly in triplicate
Male_Brain_6PCB_NoFA_51 ×6 Male_Placenta_6PCB_NoFA_51 ×6 Female_Brain_0.1PCB_NoFA_27 ×5 Female_Brain_0.1PCB_NoFA_30 ×5 Female_Brain_6PCB_NoFA_57 ×5 Female_Placenta_0.1PCB_NoFA_27 ×5 Female_Placenta_0.1PCB_NoFA_30 ×5 Female_Placenta_6PCB_NoFA_57 ×5 +62 more

Supports a between-group comparison across 182 samples.

How we read this: 60 replicated groups read from 192 sample titles; they account for 182 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

+ 152 more — browse all 192 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.