GEO series

Transcriptome of IL-13 treated small intestinal tissue in Nod2-/- mice

GSE76504 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2016/04/28 Platform GPL13112

At a glance

RNA-seq (gene expression) · mouse · 14 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: 14 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)

We previously found that mice deficient in the CD susceptibility gene Nod2 develop small intestinal abnormalities including impaired mucus production by goblet cells and susceptibility to injury, which were associated with interferon-gamma producing intraepithelial lymphocytes. These abnormalities were caused by a striking expansion of a common member of the microbiota, Bacteroides vulgatus.

Read the full summary ↓

Remarkably, infection of Nod2-deficient mice with the helminth Trichuris muris led to a TH2 response that eliminated B. vulgatus colonization and intestinal abnormalities. In addition, treatment with recombinant IL13 (rIL13) or recombinant IL4 reduced B. vulgatus levels and eliminated goblet cell defects, suggesting that type 2 cytokines alone can reverse intestinal abnormalities in the absence of helminth infection. To determine the mechanism by which type 2 cytokines protected Nod2-/- mice from intestinal abnormalities, we performed RNA-seq on small intestinal tissue from WT, Nod2-/- and rIL13 treated Nod2-/- mice. We found that rIL13 treatment induced a wound healing response characterized by M2 macrophage activation genes. Hence, type 2 cytokines can reverse inflammatory imbalances in the composition of the gut microbiota that occurs in a genetically susceptible host.

This dataset

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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 GSE76504_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: 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 PRJNA307585 and SRA study SRP068030. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 27080105) ↗

Samples in this study

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+ 14 more — browse all 14 samples with per-sample file links →

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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.