The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Comparison of methods used for assessing the viability and vitality of yeast cells
Abstract
Determination of cell viability is the most commonly used method for assessing the impact of various types of stressors in toxicity research and in industrial microbiology studies. Viability is defined as a percentage of live cells in a whole population. Although cell death is one of the consequences of toxicity, chemical or physical factors may exert their toxic effects through a number of cellular alterations that may compromise cell ability to divide without necessarily leading to cell death. This aspect represents the term 'cell vitality' defined as physiological capabilities of cells. It is important to note that cell viability and cell vitality represent two different aspects of cell functions, and both are required for the estimation of the physiological state of a cell after exposure to various types of stressors and chemical or physical factors. In this paper, we introduced a classification of available methods for estimating both viability and vitality in Saccharomyces cerevisiae yeast cells (wild-type and Δsod1 mutant) in which the effects of selected oxidants causing oxidative stress is evaluated. We present the advantages as well as disadvantages of the selected methods and assess their usefulness in different types of research.
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Cites
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Cited by
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Metadata
- Authors
- Kwolek-Mirek, M., & Zadrag-Tecza, R.
- Venue
- FEMS Yeast Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09
- Volume
- 14
- Issue
- 7
- Pages
- n/a-n/a
- ISSN
- 1567-1356 (ISSN-L)
- OpenAlex
- W2102202691
- Cited by
- 300
- References
- 34
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kwolek-Mirek, M., & Zadrag-Tecza, R. (2014). Comparison of methods used for assessing the viability and vitality of yeast cells. FEMS Yeast Research. https://doi.org/10.1111/1567-1364.12202
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.