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Sympathetic nerves regulate intestinal regeneration through IL22 signaling

GSE214821 Mus musculus (mouse) Single-cell RNA-seq 17 samples Submitted 2023/08/18 Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 17 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
17 samples
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.
Summary (written by the submitters)
The intestine is a barrier tissue whose epithelium has high intrinsic turnover rate; intestinal stem cells, in response to signals from the niche, self-renew and produce progeny that differentiate to fulfill the continuous demand for new epithelial cells that are continuously shed into the lumen. The intestine is innervated by a dense network of peripheral nerves that controls nutrient absorption, intestinal motility, and visceral pain sensation.
Read the full summary ↓
However, the roles of neurons in regulating epithelial cell homeostasis or regeneration remain as yet undiscovered. Here we investigate the effects of gut-innervating sympathetic neurons on epithelial cell repair following irradiation (IR)-induced gut injury. We observed that sympathetic innervation density in the gut increases post IR, while chemical sympathetic denervation impairs gut regeneration. Combining single cell RNA-sequencing and in vivo experiments, we discovered that sympathetic neurons regulate gut regeneration through modulation of IL22 production in type 3 innate lymphoid cells (ILC3) downstream of 2-adrenergic receptor signaling. These results define a novel neuroimmune axis important for intestinal regeneration.
This dataset
Open GSE214821 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE214821_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA887126 and SRA study SRP401027. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 37597516) ↗
Samples in this study

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+ 17 more — browse all 17 samples with per-sample file links →

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