← BioTransfer GEO Dataset Finder
GEO series

Transcriptional profiling of L4-L6 DRGs in Twik-1 knockout mice following chronic constriction injury

GSE316192 Mus musculus (mouse) Single-cell RNA-seq 17 samples Submitted 2026/04/14 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 17 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
17 samples: 5 × Sham_WT vs 5 × CCI_WT vs 4 × Sham_KO vs 3 × CCI_KOGroups 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
TWIK-1 plays distinct roles in spinal and peripheral sensory circuits controlling mechanical sensitivity and neuropathic hypersensitivitySignal transduction and targeted therapy · 2026
Summary (written by the submitters)
To identify the molecular mechanisms of reduced pain response in Twik-1 knockout mice, we performed bulk RNA-sequencing on lumbar DRGs from WT and Twik-1 knockout mice. Thirty days after sciatic nerve injury, the ipsilateral L4-L6 DRGs were manually sectioned into ~150 µm slices using a razor blade. RNAs were extracted from the sliced DRGs using PicoPure™ RNA Isolation Kit.
Read the full summary ↓
RNA libraries were constructed using the SMART-Seq v4 Ultra Low Input RNA Kit. High-quality libraries were pooled and sequenced on the Illumina NovaSeq 6000 platform with 150 bp paired-end reads. Image analysis was performed using the NovaSeq 6000 Control Software (v1.8.2), and base calling data were demultiplexed using bcl2fastq (v2.20.0.422), generating FASTQ files. Raw sequencing reads were aligned to the Mus musculus reference genome (GRCm39) using STAR aligner (version 2.7.11a). The genome index was built from the primary assembly FASTA file (Mus_musculus.GRCm39.dna.primary_assembly.fa.gz) and the corresponding gene annotation file (Mus_musculus.GRCm39.113.gtf.gz), ensuring accurate mapping across exon–intron boundaries. Resulting SAM/BAM files were then processed, sorted, and indexed with Samtools (version 1.18). Gene-level counts were generated using htseq-count (version 2.0.3) with the corresponding GTF annotation file.
Published in
TWIK-1 plays distinct roles in spinal and peripheral sensory circuits controlling mechanical sensitivity and neuropathic hypersensitivity
Yang SY, Yun T, Lee Y et al. · Signal transduction and targeted therapy 2026 · PMID 42350416 · doi:10.1038/s41392-026-02748-8
This dataset
Open GSE316192 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 GSE316192_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 PRJNA1401784 and SRA study SRP661518. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42350416) ↗
Study design
5 × Sham_WT vs 5 × CCI_WT vs 4 × Sham_KO vs 3 × CCI_KO

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
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.