Coenzyme Q10-dependent gene expression in SAMP1 mice tissues
Transcriptomics Dataset
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General Information
AccessionGSE15129
TitleCoenzyme Q10-dependent gene expression in SAMP1 mice tissues
DescriptionOur present study reveals significant decelerating effects on senescence processes in middle-aged SAMP1 mice supplemented for 6 or 14 months with the reduced form (QH2, 500 mg/ kg BW/ day) of coenzyme Q10 (CoQ10). To unravel molecular mechanisms of these CoQ10 effects, a genome-wide transcript profiling in liver, heart, brain and kidney of SAMP1 mice supplemented with the reduced (QH2) or oxidized form of CoQ10 (Q10) was performed. Liver seems to be the main target tissue of CoQ10 intervention, followed by kidney, heart and brain. Stringent evaluation of the resulting data revealed that QH2 has a stronger impact on gene expression than Q10, which was primarily due to differences in the bioavailability. Indeed, we found that QH2 supplementation was more effective than Q10 to increase levels of CoQ10 in the liver of SAMP1 mice (54.92-fold and 30.36-fold, respectively). To identify functional and regulatory connections of the top 50 (p < 0.05) up- and down-regulated QH2-sensitive transcripts in liver (fold changes ranging from 21.24 to -6.12), text mining analysis (Genomatix BiblioSphere, GFG level B3) was used. Hereby, we identified 11 QH2-sensitive genes which are regulated by PPAR- and are primarily involved in cholesterol synthesis (e.g. HMGCS1, HMGCL, HMGCR), fat assimilation (FABP5), lipoprotein metabolism (PLTP) and inflammation (STAT-1). Thus, we provide evidence that QH2 is involved in the reduction of fat and cholesterol synthesis via modulation of the PPAR- signalling pathway. These data may explain, at least in part, the observed effects on decelerated age-dependent degeneration processes in QH2-supplemented SAMP1 mice.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE15129
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Keyword
Dataset Accession

Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset

Dataset Accession
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Small molecules which mimic Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Coenzyme q10 treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Coenzyme q10 treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Coenzyme q10 treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Coenzyme q10 treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Ubiquinol treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
...
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