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Repeated TLR7 Activation Increases Alcohol Consumption and Induces Cell Type-Specific Transcriptome Changes in Mice

GSE312659 Mus musculus (mouse) Single-nucleus RNA-seq 17 samples Submitted 2026/07/08 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 17 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
17 samples: 5 × Prefrontalcortex_snRNAseq_Saline vs 4 × Amygdala_snRNAseq_Saline vs 4 × Amygdala_snRNAseq_R848 vs 4 × Prefrontalcortex_snRNAseq_R848Groups 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
Repeated TLR7 activation induces cell type- and brain region-specific transcriptome changes in male miceScientific reports · 2026
Summary (written by the submitters)
Alcohol consumption triggers neuroinflammation, potentially creating a feed-forward loop that increases drinking. Previous studies have shown that activation of the toll-like receptor 7 (TLR7) leads to escalated drinking. In this study, we aim to identify cell type-specific transcriptomic patterns linking TLR7-induced neuroinflammation to drinking.
Read the full summary ↓
Therefore, male C57BL/6J mice were treated with the selective TLR7 agonist R848 every-other day for 20 days in total. After 10 treatment-free days, brains were collected for single-nucleus RNA-Sequencing (snRNA-Seq) in the medial prefrontal cortex (mPFC) and central amygdala (AMG). The AMG showed a greater number of differentially expressed genes (DEGs), primarily in inhibitory and excitatory neurons. Among glial cells, AMG astrocytes exhibited the greatest number of DEGs, which were involved in blood-brain barrier (BBB) regulation (e.g., Cldn5, Mecom, Nrg1), a finding supported by secondary validation using Xenium in situ spatial transcriptomics on AMG-containing sections. BBB-regulatory genes, including those in the Wnt signaling pathway (e.g., Notch3, Top2a, Aldoc), were altered across multiple cell types in both regions. These findings suggest that repeated TLR7 activation induces persistent BBB dysfunction, which may contribute to escalated alcohol consumption.
Published in
Repeated TLR7 activation induces cell type- and brain region-specific transcriptome changes in male mice
Friske MM, Barchiesi R, Salem NA et al. · Scientific reports 2026 · PMID 42062470 · doi:10.1038/s41598-026-50920-5
This dataset
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.

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 GSE312659_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1375669 and SRA study SRP651735. Searching any of these in the dataset finder brings you back here.

Study design
5 × Prefrontalcortex_snRNAseq_Saline vs 4 × Amygdala_snRNAseq_Saline vs 4 × Amygdala_snRNAseq_R848 vs 4 × Prefrontalcortex_snRNAseq_R848

Supports a between-group comparison across 17 samples.

How we read this: 4 replicated groups read from 17 sample titles; they account for 17 of them. 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
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