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Neonatal lipopolysaccharide exposure alters steroid regulation and gene expression in the adult mouse brain

GSE295474 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2026/05/21 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 32 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
Neonatal lipopolysaccharide has long-term effects on steroids and gene expression in the adult mouse brainHormones and behavior · 2026
Summary (written by the submitters)
Early-life infections during development can have enduring consequences on brain development and function. The mechanisms underlying how illness in early life programs the brain are unknown. Bacterial infections activate the hypothalamic-pituitary-adrenal (HPA) axis and increase glucocorticoid (GC) and mineralocorticoid (MC) secretion from the adrenal glands.
Read the full summary ↓
Exposure to lipopolysaccharide (LPS), an endotoxin found in Gram-negative bacteria, at postnatal day (PND) 5 also induces GC production in the mouse brain. GCs can act as transcription factors to promote or supress thousands of genes. It is unclear whether neonatal LPS administration (“1st hit”) alters GC and MC regulation, and gene expression, in the mouse brain after adult LPS administration (“2nd hit”). Here, male and female C57BL/6J mice were injected intraperitoneally with saline (vehicle control) or 50ug/kg LPS at PND 4 and 6 (“1st hit”). Mice were injected again with either saline or 50ug/kg LPS in adulthood (“2nd hit) (2x2 design). The brain and blood were collected 4 hr after adult treatment (n=10/sex/group). We microdissected the dorsal hippocampus and conducted mRNA sequencing.
Published in
Neonatal lipopolysaccharide has long-term effects on steroids and gene expression in the adult mouse brain
Bajaj H, Salehzadeh M, Mazurenko A et al. · Hormones and behavior 2026 · PMID 41719808 · doi:10.1016/j.yhbeh.2026.105888
This dataset
Open GSE295474 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 GSE295474_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 PRJNA1254747 and SRA study SRP580852. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41719808) ↗
Study design
32 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 32 sample titles: 32 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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