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Persistent dopamine-dependent remodeling of the neural transcriptome in response to pregnancy and postpartum [CUT&RUN]

GSE298543 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 88 samples Submitted 2026/04/13 Platform GPL34281Platform GPL34328
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 88 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
Homo sapiens (human)
Samples
88 samples: 86 distinct titles, 1 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
Dopamine drives persistent remodelling of the maternal brainNature · 2026
Summary (written by the submitters)
Pregnancy and postpartum experiences represent transformative physiological states that impose lasting demands on the maternal body and brain, resulting in lifelong neural adaptations. However, the precise molecular mechanisms driving these persistent alterations remain poorly understood. Here, we used brain-wide transcriptomic profiling to define the molecular landscape of parity-induced neural plasticity, identifying the dorsal hippocampus (dHpc) as a key site of transcriptional remodeling.
Read the full summary ↓
Combining single-cell RNA sequencing with a maternal separation paradigm, we additionally demonstrated that chronic postpartum stress significantly disrupts dHpc adaptations by altering dopamine dynamics, leading to dysregulated transcription, altered cellular plasticity, and impaired behavior. We further established the sufficiency of dopamine modulation in the regulation of these parity-induced adaptations via chemogenetic suppression of dopamine release into dHpc, which recapitulated key transcriptional and behavioral features of parity in virgin females. In sum, our findings establish dopamine as a central regulator of parity-induced neuroadaptations, revealing a fundamental transcriptional mechanism by which female reproductive experiences remodel the maternal brain to sustain long-term behavioral adaptations.
Published in
Dopamine drives persistent remodelling of the maternal brain
O'Chan JC, Di Salvo G, Cunningham AM et al. · Nature 2026 · PMID 42162419 · doi:10.1038/s41586-026-10509-4
This dataset
Open GSE298543 in finder → Find more ChIP / ATAC / CUT&Tag 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 GSE298543_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 PRJNA1269803 and SRA study SRP588814. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42162419) ↗
Study design
86 distinct titles, 1 of them repeated
Group ×3

How we read this: Read from 88 sample titles: 86 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

+ 48 more — browse all 88 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag 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.