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Morphine-responsive neurons that regulate mechanical antinociception

GSE253816 Mus musculus (mouse) Single-cell RNA-seq 21 samples Submitted 2024/08/30 Platform GPL17021Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 21 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
21 samples: 7 conditions, mostly in triplicateGroups 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
Morphine-responsive neurons that regulate mechanical antinociceptionScience (New York, N.Y.) · 2024
Summary (written by the submitters)
Opioids are widely used, effective analgesics to manage severe acute and chronic pain, although they have recently come under scrutiny because of epidemic levels of abuse. While these compounds act on numerous central and peripheral pain pathways, the neuroanatomical substrate for opioid analgesia is not fully understood. By means of single-cell transcriptomics and manipulation of morphine-responsive neurons, have identified an ensemble of neurons in the rostral ventromedial medulla (RVM) that regulates mechanical nociception in mice.
Read the full summary ↓
Among these, forced activation or silencing of excitatory RVMBDNF projection neurons mimicked or completely reversed morphine-induced mechanical antinociception, respectively, via a brain-derived neurotrophic factor (BDNF)/tropomyosin receptor kinase B (TrkB)-dependent mechanism and activation of inhibitory spinal galanin-positive neurons. Our results reveal a specific RVM-spinal circuit that scales mechanical nociception whose function confers the antinociceptive properties of morphine.
Published in
Morphine-responsive neurons that regulate mechanical antinociception
Fatt MP, Zhang MD, Kupari J et al. · Science (New York, N.Y.) 2024 · PMID 39208104 · doi:10.1126/science.ado6593
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 GSE253816_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 PRJNA1067304 and SRA study SRP485024. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
RVM, Reference ×3 Descending ×3 Arc Control ×3 Arc Morphine ×3 Spinal Cord, shScrambled ×3 Spinal Cord, shBDNF ×3 Spinal Cord, no shRNA ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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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