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CARD9 impacts colitis by altering gut microbiota metabolism of tryptophan into aryl hydrocarbon receptor ligands

GSE67577 Mus musculus (mouse) Expression microarray 25 samples Submitted 2016/04/05 Platform GPL10787
At a glance

Expression microarray · mouse · 25 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
25 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
It is crucial to decipher the host-microbiota interactions as they are involved in intestinal homeostasis and diseases. Caspase Recruitment Domain 9 (Card9) is an inflammatory bowel disease (IBD) susceptibility gene coding for an adapter protein for innate immunity toward many microorganisms. Card9 mediates colitis recovery via interleukin 22 pathway activation and Card9-/- mice have enhanced susceptibility to colitis.
Read the full summary ↓
To reveal the mechanisms responsible of this defect in Card9-/-mice, we compared colon transcriptomics in WT and Card9-/- mice before and during DSS-induced colitis. Mice transcriptomes clusterized according to the genotype supporting a pattern clearly different in WT and Card9-/- mice. The number of up-regulated genes at day 7 was largely higher in Card9-/- compared to WT mice. Pathway analyses of the induced transcripts showed a dominance of immune-related pathway with a stronger signal in Card9-/- mice. Interestingly, NOD-like receptor signaling pathway, in which CARD9 is involved, was an exception with weaker activation in Card9-/- than in WT mice. During the recovery period at day 12, pathways involved in cell proliferation and replication were significantly activated in WT compared to Card9-/- mice confirming the healing defect in Card9-/- mice. Results published in Nature Medicine, doi:10.1038/nm.4102
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE67577_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA280289. Searching any of these in the dataset finder brings you back here.

Samples in this study

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