GEO series

A dynamic gene regulatory code drives synaptic development of hippocampal granule cells [snMO]

GSE292260 Mus musculus Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2025/09/21 Platform GPL24247Platform GPL30215

Summary

Connecting neurons into functional circuits requires the formation, maturation, and plasticity of synapses. While advances have been made in identifying individual genes regulating synapse development, the molecular programs orchestrating their action during circuit integration of neurons remain poorly understood. Here, we have employed a combination of single nuclei transcriptome and epigenome sequencing (single nuclei multiome) to study the development of the hippocampus. The hippocampus contains several excitatory and inhibitory cell types, as well as astrocytes, glia and other immune cells of the brain. The hipocampal trisynaptic circuit (DG-CA3-CA1) is essential for learning and memory. This study provides single-cell multiome data of hippocampal postnatal (P) development (P5, P10, P15, and P28), offering an in-depth analysis of gene regulatory networks during granule cell synapse formation. Together, these findings highlight the networks of key TFs and target genes orchestrating GC synapse development.

Published in

A dynamic gene regulatory code drives synaptic development of hippocampal granule cells

Lorente-Echeverría B, Daaboul D, Vandensteen J et al. · Science advances 2025 · PMID 41124261 · doi:10.1126/sciadv.adx5140

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Direct links to NCBI, no account and no request form: the whole study as GSE292260_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Whole study · RAW.tar ↓ Series matrix ↓ All supplementary files ↗ Raw reads on ENA ↗

Also filed as BioProject PRJNA1237771 and SRA study SRP571333. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41124261) ↗

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