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Profiling of Cytosolic and Peroxisomal Acetyl-CoA Metabolism in Saccharomyces cerevisiae

Overview of attention for article published in PLOS ONE, August 2012
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Title
Profiling of Cytosolic and Peroxisomal Acetyl-CoA Metabolism in Saccharomyces cerevisiae
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042475
Pubmed ID
Authors

Yun Chen, Verena Siewers, Jens Nielsen

Abstract

As a key intracellular metabolite, acetyl-coenzyme A (acetyl-CoA) plays a major role in various metabolic pathways that link anabolism and catabolism. In the yeast Saccharomyces cerevisiae, acetyl-CoA involving metabolism is compartmentalized, and may vary with the nutrient supply of a cell. Membranes separating intracellular compartments are impermeable to acetyl-CoA and no direct transport between the compartments occurs. Thus, without carnitine supply the glyoxylate shunt is the sole possible route for transferring acetyl-CoA from the cytosol or the peroxisomes into the mitochondria. Here, we investigate the physiological profiling of different deletion mutants of ACS1, ACS2, CIT2 and MLS1 individually or in combination under alternative carbon sources, and study how various mutations alter carbon distribution. Based on our results a detailed model of carbon distribution about cytosolic and peroxisomal acetyl-CoA metabolism in yeast is suggested. This will be useful to further develop yeast as a cell factory for the biosynthesis of acetyl-CoA-derived products.

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Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Sweden 2 <1%
Germany 2 <1%
France 1 <1%
South Africa 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Spain 1 <1%
Thailand 1 <1%
Other 0 0%
Unknown 211 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 27%
Researcher 51 23%
Student > Master 35 16%
Student > Bachelor 20 9%
Student > Doctoral Student 9 4%
Other 27 12%
Unknown 21 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 42%
Biochemistry, Genetics and Molecular Biology 65 29%
Engineering 13 6%
Chemistry 5 2%
Chemical Engineering 3 1%
Other 11 5%
Unknown 33 15%