Title |
Profiling of Cytosolic and Peroxisomal Acetyl-CoA Metabolism in Saccharomyces cerevisiae
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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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% |