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Cell Type-Specific Hormonal Signaling Configures Hypothalamic Circuits for Parenting

GSE316130 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 56 samples Submitted 2026/01/12 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 56 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
56 samples: 52 distinct titles, 4 of them repeatedGroups 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
Cell Type-Specific Hormonal Signaling Configures Hypothalamic Circuits for ParentingbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Parenting behavior emerges from hormonally sensitive circuits, but how distinct circuit components are affected by, and contribute to, sex and state dependent changes in infant caregiving remains unclear. Using cell type-specific approaches, we characterized two circuit nodes that are differentially configured by hormones to modulate infant-evoked behavior.
Read the full summary ↓
An excitatory neuronal population in the anteroventral periventricular nucleus is only active in lactating mothers, increases virgin female caregiving when artificially stimulated and confers oxytocin sensitivity in mothers through a prolactin--STAT5b pathway. These neurons function upstream of another preoptic area population involved in male and female parenting, thus boosting caregiving by mothers. By contrast, androgen signaling in the latter preoptic population reshapes their intrinsic properties to promote pup-directed aggression, revealing cell type-specific tuning of social behavior circuits.
Published in
Cell Type-Specific Hormonal Signaling Configures Hypothalamic Circuits for Parenting
Logeman BL, Horvath PM, Talay M et al. · bioRxiv : the preprint server for biology 2025 · PMID 41427372 · doi:10.64898/2025.12.11.693766
This dataset
Open GSE316130 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 GSE316130_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1395658 and SRA study SRP659032. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41427372) ↗
Study design
52 distinct titles, 4 of them repeated
Brs3_RNAs_1_VirginMale_L ×2 Brs3_RNAs_1_VirginFemale_L ×2 Brs3_RNAs_1_Mother_L ×2 Brs3_RNAs_1_Father_L ×2

How we read this: Read from 56 sample titles: 52 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

+ 16 more — browse all 56 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.