← BioTransfer GEO Dataset Finder
GEO series

RNA-seq of paraventricular thalamus (PVT) and posterior insular cortex (pIC) in a mouse model of STZ-induced painful diabetic neuropathy with anxiety-like behavior

GSE308534 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/05/30 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
20 samples: 20 samples, each with a distinct title — no replicated groupsGroups 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
Excitatory paraventricular thalamus-posterior insular cortex circuit mediates pain-anxiety comorbidity in diabetic neuropathyTranslational psychiatry · 2026
Summary (written by the submitters)
We generated poly(A)-selected, stranded mRNA-seq profiles from the paraventricular thalamus (PVT) and posterior insular cortex (pIC) of mice with streptozotocin (STZ; 200 mg/kg, i.p.)–induced painful diabetic neuropathy (PDN) and anxiety-like behavior, alongside vehicle controls. Twenty brain tissue samples (PVT and pIC from PDN and control groups) were sequenced. The dataset enables region-wise differential expression analysis and comparison of convergent versus region-specific remodeling between PVT and pIC.
Published in
Excitatory paraventricular thalamus-posterior insular cortex circuit mediates pain-anxiety comorbidity in diabetic neuropathy
Wei M, Shou J, Yang J et al. · Translational psychiatry 2026 · PMID 42203788 · doi:10.1038/s41398-026-04110-6
This dataset
Open GSE308534 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 GSE308534_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1330606 and SRA study SRP621812. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42203788) ↗
Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 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
Datasets on a similar topic

Search all mouse RNA-seq 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.