← BioTransfer GEO Dataset Finder
GEO series

Impacts on the Placenta-Brain Axis in Pregnant Mice Devoid of Gut Microbiota

GSE314569 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2025/12/22 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 23 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
23 samples: 23 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)
Gut microbiota play an important role in regulating individual health. It is also increasingly apparent that changes in maternal gut microbiota result can render her offspring more susceptible to diseases later in life. Such bacterial induced changes likely originate in the womb. As the placenta is the primary communication organ between mother and conceptus, it is vulnerable to in utero environmental changes, including those associated with maternal gut microbiota.
Read the full summary ↓
The placenta also relays nutritional and other factors, including serotonin, to the developing fetal brain that help guide development of this organ. Thus, placental disruptions can influence the placenta-brain axis and subsequently neurobehavioral programming with potential long-term consequences. One mechanism by which changes in maternal gut microbiota might effect the placenta are through alterations in bacterial short chained fatty acids (SCFA). The hypothesis, thus, tested in the current studies is that absence of a maternal gut microbiota, as occurs in germ-free (GF) mice, would impact bacterial SCFA in her fecal samples and in the fetal placenta and brain. Secondarily, we tested whether transcriptomic changes would be evident in the placenta and fetal brain from conceptuses derived from GF relative to multi-pathogen free (MPF) pregnant females.
This dataset
Open GSE314569 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 GSE314569_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 PRJNA1391525 and SRA study SRP656829. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
23 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 23 sample titles: 23 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

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.