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Cell-Cycle Analysis of Fission Yeast Cells by Flow Cytometry

Overview of attention for article published in PLOS ONE, February 2011
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Title
Cell-Cycle Analysis of Fission Yeast Cells by Flow Cytometry
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0017175
Pubmed ID
Authors

Jon Halvor Jonsrud Knutsen, Idun Dale Rein, Christiane Rothe, Trond Stokke, Beáta Grallert, Erik Boye

Abstract

The cell cycle of the fission yeast, Schizosaccharomyces pombe, does not easily lend itself to analysis by flow cytometry, mainly because cells in G(1) and G(2) phase contain the same amount of DNA. This occurs because fission yeast cells under standard growth conditions do not complete cytokinesis until after G(1) phase. We have devised a flow cytometric method exploiting the fact that cells in G(1) phase contain two nuclei, whereas cells in G(2) are mononuclear. Measurements of the width as well as the total area of the DNA-associated fluorescence signal allows the discrimination between cells in G(1) and in G(2) phase and the cell-cycle progression of fission yeast can be followed in detail by flow cytometry. Furthermore, we show how this method can be used to monitor the timing of cell entry into anaphase. Fission yeast cells tend to form multimers, which represents another problem of flow cytometry-based cell-cycle analysis. Here we present a method employing light-scatter measurements to enable the exclusion of cell doublets, thereby further improving the analysis of fission yeast cells by flow cytometry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 5%
United States 3 2%
Brazil 1 <1%
Unknown 169 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 40 22%
Researcher 34 19%
Student > Ph. D. Student 29 16%
Student > Master 24 13%
Student > Doctoral Student 10 5%
Other 24 13%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 47%
Biochemistry, Genetics and Molecular Biology 51 28%
Medicine and Dentistry 5 3%
Immunology and Microbiology 4 2%
Engineering 3 2%
Other 12 7%
Unknown 22 12%