← BioTransfer GEO Dataset Finder
GEO series

Conserved dorsal horn neuron subtype-specific enhancers are implicated in the genetic risk of chronic pain [Mouse snATAC-seq]

GSE253952 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2024/08/01 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
12 samples: 12 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
Spatial, transcriptomic, and epigenomic analyses link dorsal horn neurons to chronic pain genetic predispositionCell reports · 2024
Summary (written by the submitters)
The dorsal horn of the spinal cord transforms incoming somatosensory information and transmits it supraspinally to generate sensory perception, including pain and itch. Recent research using mouse Cre-driver lines has implicated specific populations of dorsal horn neurons in the transmission of different types of pain. In parallel, human genome-wide association studies (GWAS) have identified dozens of loci confidently associated with the genetic predisposition to chronic pain.
Read the full summary ↓
The ability to connect controlled experiments in rodent models with human genetic studies could provide a platform for translational research, but the cell type heterogeneity of the dorsal horn and the complex genetic architecture of chronic pain have created challenges in bridging that gap. Here, we apply a variety of single cell genomic technologies and a comparative genomic analysis to identify conserved dorsal horn neuron subtypes whose open chromatin regions show enrichment for genetic variants associated with human chronic pain phenotypes. To achieve this, we first use single nucleus RNA-Seq and fluorescence in situ hybridization in Rhesus macaque to create a more detailed map of primate dorsal horn neuron subtypes. These were integrated with publicly available human and mouse single nucleus RNA-Seq datasets to create a multi-modal cross species atlas. Then, for the mouse dorsal horn, we combined single nucleus RNA-Seq, spatial transcriptomics, and single nucleus ATAC-Seq to infer spatial and epigenomic profiles of conserved dorsal horn neuron subtypes. Finally, we compared our conserved cell-type open chromatin resource to chronic pain GWAS and found that open chromatin regions of specific dorsal horn neuron subtypes showed enrichment for a variety of human chronic pain phenotypes. Our results provide a foundation to further explore how conserved dorsal horn neuron subtypes influence the transmission of pain signals.
Published in
Spatial, transcriptomic, and epigenomic analyses link dorsal horn neurons to chronic pain genetic predisposition
Arokiaraj CM, Leone MJ, Kleyman M et al. · Cell reports 2024 · PMID 39453813 · doi:10.1016/j.celrep.2024.114876
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 GSE253952_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1067989 and SRA study SRP485381. Searching any of these in the dataset finder brings you back here.

Study design
12 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 12 sample titles: 12 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 ChIP / ATAC / CUT&Tag 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.