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Gpr37 contributes to inflammation-induced GI dysmotility by regulating enteric reactive gliosis.

GSE262418 Mus musculus (mouse) RNA-seq (gene expression) 75 samples Submitted 2025/06/24 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 75 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
75 samples: 16 conditions, mostly with about 4 replicates eachGroups 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
Gpr37 modulates the severity of inflammation-induced GI dysmotility by regulating enteric reactive gliosisiScience · 2025
Summary (written by the submitters)
The enteric nervous system (ENS) is contained within two layers of the gut wall and is made up of neurons, immune cells, and enteric glia cells (EGCs) that regulate gastrointestinal (GI) function. EGCs in both inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS) change in response to inflammation, referred to as reactive gliosis.
Read the full summary ↓
Whether EGCs restricted to a specific layer or region within the GI tract alone can influence intestinal immune response is unknown. Using bulk RNA-sequencing and in situ hybridization, we identify G-protein coupled receptor, Gpr37, as a gene expressed only in EGCs of the myenteric plexus, one of the two layers of the ENS. We show that Gpr37 contributes to key components of LPS-induced reactive gliosis including activation of NF-kB and IFN-y signaling and response genes, lymphocyte recruitment, and inflammation-induced GI dysmotility. Targeting Gpr37 in EGCs presents a potential avenue for modifying inflammatory processes in the ENS.
Published in
Gpr37 modulates the severity of inflammation-induced GI dysmotility by regulating enteric reactive gliosis
Robertson K, Hahn O, Tantry A et al. · iScience 2025 · PMID 40678517 · doi:10.1016/j.isci.2025.112885
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 GSE262418_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 PRJNA1091683 and SRA study SRP497744. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly with about 4 replicates each
EGC, None, SI_MP, ×6 EGC, None, SI_SMP, ×6 EGC, PBS, WT, SI, 24hr, ×6 EGC, None, Colon_MP, ×5 EGC, None, Colon_SMP, ×5 EGC, LPS, KO, SI, 24hr, ×5 EGC, PBS, KO, Colon, 24hr, ×5 EGC, PBS, Colon_MP, 2hr, ×4 +9 more

Supports a between-group comparison across 74 samples.

How we read this: 16 replicated groups read from 75 sample titles; they account for 74 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

+ 35 more — browse all 75 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.