Gpr37 contributes to inflammation-induced GI dysmotility by regulating enteric reactive gliosis.
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM8168439 EGC, None, Colon_MP, rep1 EGC, None, Colon_MP,
- GSM8168441 EGC, None, Colon_MP, rep2 EGC, None, Colon_MP,
- GSM8168442 EGC, None, Colon_MP, rep3 EGC, None, Colon_MP,
- GSM8168443 EGC, None, SI_MP, rep1 EGC, None, SI_MP,
- GSM8168444 EGC, None, SI_MP, rep2 EGC, None, SI_MP,
- GSM8168446 EGC, None, SI_MP, rep3 EGC, None, SI_MP,
- GSM8168447 EGC, None, Colon_SMP, rep1 EGC, None, Colon_SMP,
- GSM8168448 EGC, None, Colon_SMP, rep2 EGC, None, Colon_SMP,
- GSM8168449 EGC, None, SI_SMP, rep1 EGC, None, SI_SMP,
- GSM8168451 EGC, None, SI_SMP, rep2 EGC, None, SI_SMP,
- GSM8168452 EGC, None, SI_SMP, rep3 EGC, None, SI_SMP,
- GSM8168453 EGC, None, Colon_MP, rep4 EGC, None, Colon_MP,
- GSM8168455 EGC, None, Colon_MP, rep5 EGC, None, Colon_MP,
- GSM8168456 EGC, None, SI_MP, rep4 EGC, None, SI_MP,
- GSM8168457 EGC, None, SI_MP, rep5 EGC, None, SI_MP,
- GSM8168458 EGC, None, SI_MP, rep6 EGC, None, SI_MP,
- GSM8168460 EGC, None, Colon_SMP, rep4 EGC, None, Colon_SMP,
- GSM8168461 EGC, None, Colon_SMP, rep5 EGC, None, Colon_SMP,
- GSM8168462 EGC, None, Colon_SMP, rep6 EGC, None, Colon_SMP,
- GSM8168463 EGC, None, SI_SMP, rep4 EGC, None, SI_SMP,
- GSM8168465 EGC, None, SI_SMP, rep5 EGC, None, SI_SMP,
- GSM8168466 EGC, None, SI_SMP, rep6 EGC, None, SI_SMP,
- GSM8168467 EGC, PBS, Colon_MP, 2hr, rep1 EGC, PBS, Colon_MP, 2hr,
- GSM8168468 EGC, PBS, Colon_MP, 2hr, rep2 EGC, PBS, Colon_MP, 2hr,
- GSM8168470 EGC, PBS, Colon_MP, 2hr, rep3 EGC, PBS, Colon_MP, 2hr,
- GSM8168471 EGC, PBS, Colon_MP, 2hr, rep4 EGC, PBS, Colon_MP, 2hr,
- GSM8168472 EGC, PBS, SI_MP, 2hr, rep1 EGC, PBS, SI_MP, 2hr,
- GSM8168474 EGC, PBS, SI_MP, 2hr, rep2 EGC, PBS, SI_MP, 2hr,
- GSM8168475 EGC, PBS, SI_MP, 2hr, rep3 EGC, PBS, SI_MP, 2hr,
- GSM8168476 EGC, PBS, SI_MP, 2hr, rep4 EGC, PBS, SI_MP, 2hr,
- GSM8168477 EGC, LPS, Colon_MP, 2hr, rep1 EGC, LPS, Colon_MP, 2h…
- GSM8168479 EGC, LPS, Colon_MP, 2hr, rep2 EGC, LPS, Colon_MP, 2h…
- GSM8168480 EGC, LPS, Colon_MP, 2hr, rep3 EGC, LPS, Colon_MP, 2h…
- GSM8168481 EGC, LPS, Colon_MP, 2hr, rep4 EGC, LPS, Colon_MP, 2h…
- GSM8168482 EGC, LPS, SI_MP, 2hr, rep1 EGC, LPS, SI_MP, 2hr,
- GSM8168484 EGC, LPS, SI_MP, 2hr, rep2 EGC, LPS, SI_MP, 2hr,
- GSM8168485 EGC, LPS, SI_MP, 2hr, rep3 EGC, LPS, SI_MP, 2hr,
- GSM8168486 EGC, LPS, SI_MP, 2hr, rep4 EGC, LPS, SI_MP, 2hr,
- GSM8168487 EGC, LPS, WT, Colon, 24hr, rep1 EGC, LPS, WT, Colon, 24…
- GSM8168489 EGC, LPS, WT, Colon, 24hr, rep2 EGC, LPS, WT, Colon, 24…
+ 35 more — browse all 75 samples with per-sample file links →
- GSE316347 Macrophage Immune-Competent Colon Assembloids for Functional Interrogation of Neuroinflammation-Induced Colonic Dysmotility 21 samples shares inflammation-induced, dysmotility
- GSE264415 Enteric nervous system injury and intestinal dysmotility after West Nile virus infection is mediated by perforin and Fas-ligand dependent T cell effector functions 8 samples shares dysmotility, enteric
- GSE292802 Formyl peptide receptor 2 contributes to intestinal epithelium homeostasis by regulating intestinal stem cell proliferation and differentiation [scRNA-seq] 6 samples shares contributes, regulating
- GSE234844 STING Signaling Contributes to Celastrol-induced Pyroptosis of Female Germline Stem Cells by Upregulating NLRP3 4 samples shares contributes, regulating
- GSE260669 Satellite glial GPR37L1 and its ligand maresin 1 regulate potassium channel signaling and pain homeostasis. 11 samples shares gpr37
- GSE301899 mTOR signaling contributes to system-driven rhythmic gene expression in mouse liver 282 samples shares contributes
- GSE307181 Sex specific correction of maternal inflammation-induced behavioral abnormalities by the inhibition of colony-stimulating factor 1 receptor 96 samples shares inflammation-induced
- GSE334405 cGAS-mediated IFN-I signaling contributes to disease progression in drug-refractory epilepsy 44 samples shares contributes
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.