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Satellite glial GPR37L1 and its ligand maresin 1 regulate potassium channel signaling and pain homeostasis.

GSE260669 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2024/03/06 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 2 × WT-male-DRG vs 2 × WT-male-PTX-DRG vs 2 × KO-male-DRGGroups 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
Satellite glial GPR37L1 and its ligand maresin 1 regulate potassium channel signaling and pain homeostasisThe Journal of clinical investigation · 2024
Summary (written by the submitters)
G protein-coupled receptor 37-like 1 (GPR37L1) is an orphan GPCR, and its function remains largely unknown. Here we report that Gpr37l1 and GPR37L1 are among the most highly expressed GPCR transcripts in mouse and human dorsal root ganglia (DRGs) and are selectively expressed in satellite glial cells (SGCs). Peripheral neuropathy following PTX-induced pain resulted in a downregulation of GPR37L1 plasma membrane expression in DRGs.
Read the full summary ↓
Transgenic mice with Gpr37l1 deficiency exhibited impaired resolution of neuropathic pain symptoms following PTX-induced pain, whereas overexpression of Gpr37l1 in mouse DRGs reversed pain. GPR37L1 regulates the surface expression and function of these potassium channels. Thus, GPR37L1 in SGCs offers a new target for neuropathy protection and pain control.
Published in
Satellite glial GPR37L1 and its ligand maresin 1 regulate potassium channel signaling and pain homeostasis
Bang S, Jiang C, Xu J et al. · The Journal of clinical investigation 2024 · PMID 38530364 · doi:10.1172/JCI173537
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 GSE260669_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 PRJNA1082668 and SRA study SRP492786. Searching any of these in the dataset finder brings you back here.

Study design
2 × WT-male-DRG vs 2 × WT-male-PTX-DRG vs 2 × KO-male-DRG

Supports a between-group comparison across 6 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 6 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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