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Transcriptomic signatures of peroxisome proliferator-activated receptor α (PPARα) in different mouse liver models identify novel aspects of its biology

Overview of attention for article published in BMC Genomics, December 2014
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Title
Transcriptomic signatures of peroxisome proliferator-activated receptor α (PPARα) in different mouse liver models identify novel aspects of its biology
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1106
Pubmed ID
Authors

Ewa Szalowska, Haftu A Tesfay, Sacha A F T van Hijum, Sander Kersten

Abstract

The peroxisome proliferator-activated receptor alpha (PPARα) is a ligand-activated transcription factor that regulates lipid catabolism and inflammation and is hepatocarcinogenic in rodents. It is presumed that the functions of PPARα in liver depend on cross-talk between parenchymal (hepatocytes) and non-parenchymal (Kupffer and endothelial cells) fractions as well as inter-organ interactions. In order to determine how cellular composition and inter-organ interactions influence gene expression upon pharmacological activation of PPARα, we performed a meta-analysis of transcriptomics data obtained from mouse hepatocytes (containing only the parenchymal fraction), mouse liver slices (containing both fractions), and mouse livers exposed to a PPARα agonist. The aim was to obtain a comprehensive view of common and model-specific PPARα-dependent genes and biological processes to understand the impact of cross-talk between parenchymal and non-parenchymal fractions as well as the effect of inter-organ interactions on the hepatic PPARα transcriptome.To this end we analyzed microarray data of experiments performed in mouse primary hepatocytes treated with the PPARα agonist Wy14643 for 6 or 24 h (in vitro), mouse precision cut liver slices treated with Wy14643 for 24 h (ex vivo), and livers of wild type and Ppara knockout mice treated with Wy14643 for 6 h or 5 days (in vivo).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Master 4 12%
Student > Bachelor 3 9%
Professor 2 6%
Other 4 12%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 24%
Medicine and Dentistry 5 15%
Agricultural and Biological Sciences 4 12%
Sports and Recreations 2 6%
Nursing and Health Professions 1 3%
Other 4 12%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2014.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#308,372
of 360,867 outputs
Outputs of similar age from BMC Genomics
#279
of 305 outputs
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We're also able to compare this research output to 305 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.