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Bulk RNA-Seq of male and female lumbosacral dorsal root ganglia after VEGFA-instillation

GSE294967 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/12/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Dorsal root ganglia,VEGF,Male vs 4 × Dorsal root ganglia,Saline,Male vs 4 × Dorsal root ganglia,VEGF,Female vs 4 × Dorsal root ganglia,Saline,FemaleGroups 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
Transcriptome profiling suggests molecular sexual dimorphism in lumbosacral dorsal root ganglia and sex-specific mechanisms underlying visceral painPhysiological genomics · 2026
Summary (written by the submitters)
This study examined transcriptomics in lumbosacral dorsal root ganglia that carries bladder afferent signals in a bladder-origin visceral pain animal model. C57BL6/J male and female mice underwent intravesical instillations of VEGF165, a mouse recombinant of VEGFA to induce visceral hypersensitivity. Saline-instilled male and female mice were used as controls.
Read the full summary ↓
Across the four experimental groups, we found significant sex differences in the transcriptome profile in both saline-instilled animals and VEGF-induced signaling pathway changes in the lumbosacral sensory ganglia. These findings provide insight into potential molecular targets for alleviating visceral pain symptoms when considering sex as a biological variable.
Published in
Transcriptome profiling suggests molecular sexual dimorphism in lumbosacral dorsal root ganglia and sex-specific mechanisms underlying visceral pain
Yesupatham SK, Malykhina AP, Xie AX · Physiological genomics 2026 · PMID 41223072 · doi:10.1152/physiolgenomics.00066.2025
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 GSE294967_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: 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 PRJNA1252114 and SRA study SRP579500. Searching any of these in the dataset finder brings you back here.

Study design
4 × Dorsal root ganglia,VEGF,Male vs 4 × Dorsal root ganglia,Saline,Male vs 4 × Dorsal root ganglia,VEGF,Female vs 4 × Dorsal root ganglia,Saline,Female

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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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.