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Disruption of the Placenta-Brain Axis in Transgenic Mice Lacking Serotonin Transporter (SERT) in Trophoblast Cell

GSE304347 Mus musculus (mouse) RNA-seq (gene expression) 31 samples Submitted 2025/08/02 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 31 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
31 samples: 31 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
Disruption of the Placenta-Brain Axis in Transgenic Mice Lacking Serotonin Transporter (SERT) in Trophoblast CellsInternational journal of molecular sciences · 2025
Summary (written by the submitters)
Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed drugs to pregnant women experiencing depression. While such drugs might be beneficial in combating depression by competitively binding to serotonin transporter (SERT), they can adversely affect the placenta and fetal brain development. Parietal trophoblast giant cells (pTGCs) in the mouse placenta are postulated to internalize maternal serotonin (5-HT) via transport through SERT, encoded by Slc6a4.
Read the full summary ↓
The placenta provides the initial source of 5-HT to the emerging brain via the placental-brain axis. Disruption of 5-HT acquisition by pTGCs due to genetic deletion of Slc6a4 is hypothesized to impact placental and fetal brain development. A transgenic mouse line with the SERT transporter selectively deleted was created by pairing mice with Cre-recombinase linked to proliferin (Prl2c2) with LoxP sites flanking the Slc6a4 gene. Proliferin is solely expressed by pTGCs and other giant cells of the placenta. To compare placental and fetal brain development in selective Sl6a4 KO and WT mice, 5-HT content in the placenta and fetal brains of the mice was measured. No significant differences in 5-HT content were evident between knockout (KO) and wild-type (WT) placenta and fetal brain. However, there was significantly lower average number of pTGCs in KO placentas compared to WT (p ≤ 0.05). Sexually dimorphic differences in gene expression were evident in the placenta and fetal brain between KO and WT counterparts with female conceptuses showing the most dramatic responses. Findings suggest that ablation of SERT in pTGC disrupts the placenta-brain axis in a sex-dependent manner. These results might have important clinical ramifications for pregnant women being treated with SSRIs.
Published in
Disruption of the Placenta-Brain Axis in Transgenic Mice Lacking Serotonin Transporter (SERT) in Trophoblast Cells
Ellenberger DT, Lyu Z, Herrington RTB et al. · International journal of molecular sciences 2025 · PMID 41516311 · doi:10.3390/ijms27010436
This dataset
Open GSE304347 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 GSE304347_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 PRJNA1300422 and SRA study SRP605886. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41516311) ↗
Study design
31 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 31 sample titles: 31 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
Datasets on a similar topic

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