GEO series

A dorsal hippocampus-prodynorphinergic dorsolateral septum-to-lateral hypothalamus circuit mediates contextual gating of feeding

GSE316515 Mus musculus (mouse) Single-cell RNA-seq 3 samples Submitted 2026/01/19 Platform GPL19057

At a glance

Single-cell RNA-seq · mouse · 3 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 3 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)

Contextual encoding in the dorsal hippocampus (DHPC) may recruit hypothalamic feeding modules to calibrate eating across environments, but mechanistic instantiation of cells and circuits that undergird these processes is limited. Single-cell transcriptomics and transsynaptic tracing of the dorsolateral septum (DLS) identified an evolutionarily conserved Prodynorphin (Pdyn)-expressing subpopulation of Somatostatin (Sst)-expressing inhibitory neurons that receives dense dorsal, but not ventral, hippocampal inputs.

Read the full summary ↓

Circuit optogenetics, electrophysiology, and in vivo calcium imaging demonstrated that DLS(Pdyn) neurons inhibit GABAergic neurons of the lateral hypothalamic area (LHA), exhibit context-dependent neural responses to food rewards and aversive stimuli, and confer contextual and internal state-dependent calibration of feeding. Viral deletion of Pdyn in the DLS impaired context-dependent food reward consumption, suggesting a role for Dynorphin/Kappa opioid receptor signaling in these processes. Together, our findings highlight how ancient LHA feeding circuits integrate DHPC input through DLS(Pdyn) inhibitory neurons to link context with regulation of food consumption.

This dataset

Open GSE316515 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 GSE316515_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1403043 and SRA study SRP662436. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 3 more — browse all 3 samples with per-sample file links →

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