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Impact of Reduced Maternal Tryptophan on the Placenta-Brain Axis

GSE330442 Mus musculus (mouse) RNA-seq (gene expression) 41 samples Submitted 2026/05/08 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 41 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
41 samples: 41 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.
Summary (written by the submitters)
Tryptophan is critical to mothers and their conceptuses, and this amino acid is the precursor to serotonin. Serotonin modulates placenta function and fetal neurodevelopment. It is not clear if the placenta directly synthesizes serotonin or uses the serotonin transporter (SERT/Sl6a4) to accrue this catecholamine from the dam.
Read the full summary ↓
The hypothesis tested herein is that reduction in maternal tryptophan would lead to reductions in maternal tryptophan, serotonin, and 5-HIAA (a metabolite of serotonin) and corresponding reductions of these metabolites in placenta and fetal brain of female and male conceptuses. Female mice were placed on either a low tryptophan diet (1%) or control diet (2%).These diets were administered for two weeks prior to breeding (periconception period) until conceptuses were collected at approximately12.5 days post-coitus (dpc). While no reductions in maternal tryptophan and serotonin were observed, both metabolites were significantly reduced in in the placenta and fetal brain of male and female conceptuses (p < 0.05). Female conceptuses were particularly sensitive to reductions in maternal tryptophan with 652 and 29 transcripts being altered in the female placenta and fetal brain of low maternal tryptophan dams compared to control dams. Transcriptome changes, such as Sl6ca4 and Slc6a19 (transporter for tryptophan), in these organs were linked to reductions in tryptophan and serotonin amounts. Findings might have clinical relevance to pregnant women as they show even subtle reductions in one amino acid might profoundly influence offspring development and potential later risk for neurobehavioral disorders and the female conceptuses might be more vulnerable to in utero nutrient changes.
This dataset
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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 GSE330442_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 PRJNA1463842 and SRA study SRP698779. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
41 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 41 sample titles: 41 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

+ 1 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.