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Cardioprotection and lifespan extension by the natural polyamine spermidine

GSE86882 Mus musculus (mouse) Expression microarray 12 samples Submitted 2016/11/13 Platform GPL6885
At a glance

Expression microarray · mouse · 12 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
12 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Aging is associated with an increased risk of cardiovascular disease and death. Here we show that oral supplementation of the natural polyamine spermidine extends lifespan, while it exerts cardioprotective effects through reduction of cardiac hypertrophy and preservation of diastolic function in old mice. Spermidine feeding enhanced cardiac autophagy, mitophagy, mitochondrial respiration and mechano-elastical properties of cardiomyocytes in vivo, coinciding with increased titin phosphorylation and suppressed subclinical inflammation.
Read the full summary ↓
Spermidine failed to promote cardioprotection in mice lacking the autophagy-related gene Atg5 in cardiomyocytes. In Dahl salt-sensitive rats fed high-salt diet, a model for hypertension-induced congestive heart failure, spermidine reduced systemic blood pressure, increased titin phosphorylation and prevented cardiac hypertrophy and a decline in diastolic function, thus delaying the progression to heart failure. Finally, high dietary spermidine intake correlated with reduced blood pressure and a lower incidence of cardiovascular disease in humans. Our results suggest a novel and generic strategy against cardiovascular disease.
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 (GSE86882_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 PRJNA342821. Searching any of these in the dataset finder brings you back here.

Samples in this study

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