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Physiological effects of over-expressing compartment-specific components of the protein folding machinery in xylose-fermenting Saccharomyces cerevisiae

Overview of attention for article published in BMC Biotechnology, April 2014
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Title
Physiological effects of over-expressing compartment-specific components of the protein folding machinery in xylose-fermenting Saccharomyces cerevisiae
Published in
BMC Biotechnology, April 2014
DOI 10.1186/1472-6750-14-28
Pubmed ID
Authors

Basti Bergdahl, Marie F Gorwa-Grauslund, Ed WJ van Niel

Abstract

Efficient utilization of both glucose and xylose is necessary for a competitive ethanol production from lignocellulosic materials. Although many advances have been made in the development of xylose-fermenting strains of Saccharomyces cerevisiae, the productivity remains much lower compared to glucose. Previous transcriptional analyses of recombinant xylose-fermenting strains have mainly focused on central carbon metabolism. Very little attention has been given to other fundamental cellular processes such as the folding of proteins. Analysis of previously measured transcript levels in a recombinant XR/XDH-strain showed a wide down-regulation of genes targeted by the unfolded protein response during xylose fermentation. Under anaerobic conditions the folding of proteins is directly connected with fumarate metabolism and requires two essential enzymes: FADH2-dependent fumarate reductase (FR) and Ero1p. In this study we tested whether these enzymes impair the protein folding process causing the very slow growth of recombinant yeast strains on xylose under anaerobic conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
China 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 7 20%
Student > Bachelor 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 43%
Biochemistry, Genetics and Molecular Biology 8 23%
Chemical Engineering 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 7 20%