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Cell Wall-Related Bionumbers and Bioestimates of Saccharomyces cerevisiae and Candida albicans

Overview of attention for article published in mSphere, November 2013
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Title
Cell Wall-Related Bionumbers and Bioestimates of Saccharomyces cerevisiae and Candida albicans
Published in
mSphere, November 2013
DOI 10.1128/ec.00250-13
Pubmed ID
Authors

Frans M. Klis, Chris G. de Koster, Stanley Brul

Abstract

Bionumbers and bioestimates are valuable tools in biological research. Here we focus on cell wall-related bionumbers and bioestimates of the budding yeast Saccharomyces cerevisiae and the polymorphic, pathogenic fungus Candida albicans. We discuss the linear relationship between cell size and cell ploidy, the correlation between cell size and specific growth rate, the effect of turgor pressure on cell size, and the reason why using fixed cells for measuring cellular dimensions can result in serious underestimation of in vivo values. We further consider the evidence that individual buds and hyphae grow linearly and that exponential growth of the population results from regular formation of new daughter cells and regular hyphal branching. Our calculations show that hyphal growth allows C. albicans to cover much larger distances per unit of time than the yeast mode of growth and that this is accompanied by strongly increased surface expansion rates. We therefore predict that the transcript levels of genes involved in wall formation increase during hyphal growth. Interestingly, wall proteins and polysaccharides seem barely, if at all, subject to turnover and replacement. A general lesson is how strongly most bionumbers and bioestimates depend on environmental conditions and genetic background, thus reemphasizing the importance of well-defined and carefully chosen culture conditions and experimental approaches. Finally, we propose that the numbers and estimates described here offer a solid starting point for similar studies of other cell compartments and other yeast species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 28%
Researcher 28 17%
Student > Master 20 12%
Student > Bachelor 17 10%
Student > Doctoral Student 9 5%
Other 20 12%
Unknown 25 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 33%
Biochemistry, Genetics and Molecular Biology 34 21%
Immunology and Microbiology 10 6%
Engineering 6 4%
Chemistry 5 3%
Other 22 13%
Unknown 34 21%