GEO series

The inflammasome is a central player in the induction of obesity and insulin resistance

GSE25205 Mus musculus (mouse) Expression microarray 10 samples Submitted 2011/08/21 Platform GPL11180

At a glance

Expression microarray · mouse · 10 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Mus musculus (mouse)
Samples: 10 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Inflammation plays a key role in the pathogenesis of obesity. Chronic overfeeding leads to macrophage infiltration in the adipose tissue, resulting in pro-inflammatory cytokine production. Both microbial and endogenous danger signals trigger assembly of the intracellular innate immune sensor Nlrp3 [NLR family, pyrin domain containing 3] resulting in caspase-1 activation and production of pro-inflammatory cytokines interleukin (IL)-1beta and IL-18.

Read the full summary ↓

Here, we showed that mice deficient in Nlrp3, ASC [apoptosis-associated speck-like protein containing a CARD; a.k.a PYCARD (PYD and CARD domain containing)] and caspase-1 were resistant to the development of high fat diet-induced obesity, which correlated with protection from obesity-induced insulin resistance. Detailed metabolic and molecular phenotyping demonstrated that the inflammasome controls energy expenditure and adipogenic gene expression during chronic overfeeding. These findings reveal a critical function of the inflammasome in obesity and insulin resistance and suggest inhibition of the inflammasome as a potential therapeutic strategy. Keywords: Expression profiling by array

This dataset

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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.

Series matrix ↓

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 (GSE25205_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

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 PRJNA134319. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21876127) ↗

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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