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Mild SARS-CoV-2 maternal infection in mice induces transient offspring neurodevelopmental aberrance

GSE317803 Mus musculus (mouse) RNA-seq (gene expression) 140 samples Submitted 2026/01/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 140 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
140 samples
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)
Maternal viral infection during pregnancy has been identified as a risk factor for psychiatric disorders and neurodevelopmental abnormalities in offspring. With cumulative SARS-CoV-2 infections now numbering in the hundreds of millions globally, there is a need to evaluate the effects of maternal SARS-CoV-2 infection on offspring brain development and behavior.
Read the full summary ↓
We developed a mouse model of mild SARS-CoV-2 infection during pregnancy, where SARS-CoV-2 infection is restricted to the respiratory tract. These mice did not exhibit weight loss despite detectable local and systemic immune responses, including placental inflammation. Characterization of the offspring cerebral cortex revealed transient transcriptomic changes at post-natal day 5 (P5), but no gross alterations in the cytoarchitecture, synaptic density, or microglia abundance. Moreover, we did not detect any significant changes in open field nor novel object recognition tests in P50 offspring born to SARS-CoV-2-infected dams. These results suggest that mild SARS-CoV-2 infection induces transient perturbations to offspring brain development but does not appear to result in long-lasting structural or behavioral deficits.
This dataset
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.

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 GSE317803_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1415288 and SRA study SRP668090. Searching any of these in the dataset finder brings you back here.

Samples in this study

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