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Myeloid TET2-IL-1 axis controls sympathetic-epithelial interaction to modulate intestinal inflammation

GSE267700 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/07/08 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: 11 × CD11b_bulkGroups 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.
Summary (written by the submitters)
Inflammatory responses are mediated by complex multi-cellular interactions and understanding the identity and mechanism of these interactions is central to understanding the pathophysiology of immune-mediated diseases. In humans, somatic mutations in Tet methylcytosine dioxygenase 2 (TET2), a DNA demethylase, are commonly observed during ageing in myeloid cells1,2 and known to modulate inflammatory responses3.
Read the full summary ↓
Using a mouse model that selectively lacks TET2 in myeloid cells, we show that myeloid cells and sympathetic neurons form a signaling nexus that controls the differentiation of enterochromaffin cells and serotonin production during colonic inflammation. Specifically, we demonstrate that TET2 restricts IL-1 production by myeloid cells under physiological conditions that in turn controls the intestinal sympathetic activation.
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 GSE267700_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 PRJNA1112425 and SRA study SRP508180. Searching any of these in the dataset finder brings you back here.

Study design
11 × CD11b_bulk

Supports a between-group comparison across 11 samples.

How we read this: 1 replicated groups read from 11 sample titles; they account for 11 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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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.