GEO series

Expression patterns in liver after resveratrol treatment of mice on a high-calorie diet

GSE6089 Mus musculus (mouse) Expression microarray 14 samples Submitted 2006/11/03 Platform GPL2872

At a glance

Expression microarray · mouse · 14 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Mus musculus (mouse)
Samples: 14 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Resveratrol (3,5,4'-trihydroxystilbene) extends the lifespan of diverse species including yeast, worms, and flies. In these organisms, lifespan extension is dependent on Sir2, a conserved deacetylase proposed to underlie the beneficial effects of caloric restriction (CR). Here we show that resveratrol shifts the physiology of middle-aged mice on a high-calorie diet towards that of mice on a standard diet and significantly increases their survival.

Read the full summary ↓

Resveratrol produces changes associated with longer lifespan including increased insulin sensitivity, reduced IGF-1, increased AMPK and PGC-1α activity, increased mitochondrial number, and improved motor function. Parametric analysis of gene set enrichment (PAGE) revealed that resveratrol opposed the effects of the high-calorie diet in 144 out of 153 significantly altered pathways. These data show that improving general health in mammals using small molecules is an attainable goal and point to new approaches for treating obesity-related disorders and diseases of ageing. Keywords: Drug treatment

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 (GSE6089_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 PRJNA97643. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 17086191) ↗

Samples in this study

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

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